Weekly Review 4 October 2024

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky): 

1. An autonomous boat using AI to avoid collisions: https://www.stuff.co.nz/nz-news/350423932/unmanned-vessel-makes-waves-science-minister
2. An AI to help with research literature and citations: https://dataconomy.com/2024/09/27/scite-ai-review-can-it-research-well/
3. Microsoft's approach to correcting generative AI hallucinations: https://www.computerworld.com/article/3540429/microsoft-claims-new-correction-tool-can-fix-genai-hallucinations.html
4. An emotionally intelligent AI chatbot: https://techcrunch.com/2024/09/26/nomi-ai-wants-to-make-the-most-emotionally-intelligent-chatbots-on-the-market/
5. On the importance of explainable AI: https://www.datasciencecentral.com/explainable-ai-xai-how-can-black-box-models-be-transformed-into-comprehensible-intelligence/
6. AI enhancing cryptocurrency. Throw in NFTs and you'd have the hype trifecta: https://dataconomy.com/2024/09/27/artificial-intelligence-ai-and-cryptocurrency-revolutionizing-the-future-of-finance-and-technology/
7. I'm skeptical of using synthetic data to train AI. They already hallucinate, sometimes badly, when trained on real data: https://www.informationweek.com/data-management/is-synthetic-data-the-future-of-ai-model-training-
8. AI PCs are coming, but it's not clear when: https://www.computerworld.com/article/3540633/how-soon-will-ai-pcs-replace-traditional-pcs-in-the-enterprise.html
9. OpenAI is to reveal to lawyers the training data used for its AI: https://www.theregister.com/2024/09/26/openai_training_data_author_copyright_case/
10. The AI data cycle: https://www.bigdatawire.com/2024/09/24/the-ai-data-cycle-understanding-the-optimal-storage-mix-for-ai-workloads-at-scale/
11. The fine line between secondary students using AI as a learning tool, and using it as a cheating tool: https://www.stuff.co.nz/nz-news/350425314/students-using-artificial-intelligence-cheat-assessments-teachers-warn
12. How to opt-out of big tech using your posts to train their AI: https://www.theguardian.com/technology/2024/sep/27/gmail-meta-x-ai-data-privacy
13. Microsoft's actions on climate change got a bit derailed by generative AI, but recommissioning a nuclear reactor will help: https://www.computerworld.com/article/3537018/microsoft-vowed-to-fight-climate-change-then-genai-came-along.html
14. AI needs more compute power, which means more data centres, which means more demand for electricity and water: https://www.theguardian.com/global-development/2024/sep/25/mexico-datacentre-amazon-google-queretaro-water-electricity
15. If your AI breaks the law, you are responsible for it: https://www.theregister.com/2024/09/25/doj_ai_compliance_guidance_update/
16. What kind of messaging to teachers need to be sending to students around AI? https://www.insidehighered.com/opinion/views/2024/09/26/sending-wrong-message-students-ai-opinion
17. I think describing this AI as 'revolutionizing' emergency call responses is a bit of a stretch. And who's going to get sued the first time is messes up? https://techcrunch.com/2024/09/26/prepared-which-lets-911-dispatchers-text-and-video-chat-with-callers-raises-27m/
18. No, you can't just turn off Meta's AI scraping of your posts with a single post: https://www.theguardian.com/technology/2024/sep/26/will-the-goodbye-meta-ai-message-protect-users-posts-from-being-used-to-train-ai
19. Some legal consequences of the AI hype: https://www.theregister.com/2024/09/26/ftc_sues_ai_outfits/
20. Claims that facial recognition AI reduced the rates of assaults on shop staff: https://www.nzherald.co.nz/nz/facial-recognition-tech-cuts-serious-assaults-by-130-in-foodstuffs-north-island-stores/R4FKTAPEANFLPL3LU3P434J6F4/
21. US Army is using AI to target potential recruits: https://www.theregister.com/2024/09/25/us_army_enlists_ai/
22. The coming age of ubiquitous AI bodycams: https://www.computerworld.com/article/3537041/what-happens-when-everybody-winds-up-wearing-ai-body-cams.html
23. Google's AI can digest a book and spit out a podcast that summarises it: https://arstechnica.com/ai/2024/09/fake-ai-podcasters-are-reviewing-my-book-and-its-freaking-me-out/
24. No, we're not going to have superintelligent AI in three years. We might have marginally less stupid AI in three years, if we're lucky: https://www.extremetech.com/computing/openai-ceo-cranks-up-ai-hype-promises-superintelligence-in-3-years

Weekly Review 27 September 2024

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky): 

1. This is the real danger with AI, it can be used to supercharge surveillance, and big tech companies can make a lot of money doing so: https://www.theregister.com/2024/09/16/oracle_ai_mass_surveillance_cloud/
2. In addition to needing a lot of energy, AI also need a lot of water for cooling: https://www.techrepublic.com/article/generative-ai-data-center-water-use/
3. Using AI to eliminate bias in hiring. Except the AI inherits the biases in the data used to train it: https://www.datasciencecentral.com/how-machine-learning-is-delivering-next-generation-talent-acquisition-processes/
4. Are the EU regulations really stifling development of AI? Or is this just big tech companies whinging? https://www.computerworld.com/article/3535551/eu-privacy-regulation-stifling-ai-innovation-claims-open-letter-masterminded-by-meta.html
5. OpenAI really doesn't want people testing their new AI too hard. What are they hiding? https://arstechnica.com/information-technology/2024/09/openai-threatens-bans-for-probing-new-ai-models-reasoning-process/
6. AI needs a lot of energy, and it's contributing to climate change. But AI can also optimise renewable energy generation:  https://www.informationweek.com/sustainability/the-ai-power-paradox
7. Microsoft is teaming with a power company to recommission a nuclear reactor, to generate the energy needed for AI computation: https://www.nextplatform.com/2024/09/20/ai-powerhouses-choose-the-nuclear-option/
8. AI is good at making predictions, which is useful in supply chain management: https://www.datasciencecentral.com/role-of-ai-predictive-analytics-in-supply-chain-management/
9. Ways in which AI can make a meaningful impact on a business: https://www.datasciencecentral.com/how-to-transform-your-business-digitally-with-ai/
10. AI needs a lot of energy, and currently that's being met with fossil fuels. But AI can also help boost renewable generation, so I don't think it will derail things: https://www.informationweek.com/sustainability/will-future-ai-demands-derail-sustainable-energy-initiatives-
11. Microsoft scraped data from LinkedIn to train their AI, and updated their terms of service to allow it after they did it: https://www.theregister.com/2024/09/19/linkedin_ai_data_access/
12. An expanded context window for a conversational AI. So while it won't forget what you're chatting about, it will still hallucinate: https://spectrum.ieee.org/ai-context-window
13. A social network app populated entirely by AI: https://arstechnica.com/information-technology/2024/09/dead-internet-theory-comes-to-life-with-new-ai-powered-social-media-app/
14. Can quantum computers provide the computing power needed for AI? https://www.datanami.com/2024/09/17/quantum-and-ai-navigating-the-resource-challenge/
15. California bans election-related deepfakes near election time. Will it be enforced? https://www.informationweek.com/it-sectors/california-s-new-deepfake-laws-await-test-of-enforcement
16. Five ways to screw up an AI project: https://www.informationweek.com/machine-learning-ai/how-to-avoid-common-ai-newbie-mistakes
17. The UN releases a plan for how AI can help humanity: https://www.computerworld.com/article/3532360/un-lays-out-plans-for-how-ai-can-best-serve-humanity.html
18. Too big, too small, size does matter after all. At least when AI are concerned: https://www.computerworld.com/article/3529501/smaller-genai-models-for-every-app-might-be-the-future.html
19. An open call for questions that could stump an AI: https://futurism.com/the-byte/humanitys-last-exam-ai-benchmarks
20. An AI that can detect misinformation in social media: https://spectrum.ieee.org/fight-misinformation
21. Google is going to start labelling AI generated images in its search results: https://www.techrepublic.com/article/google-c2pa-generative-ai-search/
22. A portable AI controller for robots: https://spectrum.ieee.org/machine-learning-and-robotics You want SkyNet? Because this is how you get SkyNet
23. No guardrail setup can stop all the harms an AI could cause: https://www.theregister.com/2024/09/17/ai_models_guardrail_feature/

IEEE Transactions on Artificial Intelligence, Volume 5, Issue 9, September 2024

1) Editorial: From Explainable Artificial Intelligence (xAI) to Understandable Artificial Intelligence (uAI)

Author(s): Hussein Abbass, Keeley Crockett, Jonathan Garibaldi, Alexander Gegov, Uzay Kaymak, Joao Miguel C. Sousa

Pages: 4310 - 4314

2) Incomplete Graph Learning via Partial Graph Convolutional Network

Author(s): Ziyan Zhang, Bo Jiang, Jin Tang, Jinhui Tang, Bin Luo

Pages: 4315 - 4321

3) Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally

Author(s): Shawqi Al-Maliki, Adnan Qayyum, Hassan Ali, Mohamed Abdallah, Junaid Qadir, Dinh Thai Hoang, Dusit Niyato, Ala Al-Fuqaha

Pages: 4322 - 4343

4) A Distributed Conditional Wasserstein Deep Convolutional Relativistic Loss Generative Adversarial Network With Improved Convergence

Author(s): Arunava Roy, Dipankar Dasgupta

Pages: 4344 - 4353

5) A Similarity-Based Positional Attention-Aided Deep Learning Model for Copy–Move Forgery Detection

Author(s): Ayush Roy, Sk Mohiuddin, Ram Sarkar

Pages: 4354 - 4363

6) Enhancing Reinforcement Learning via Transformer-Based State Predictive Representations

Author(s): Minsong Liu, Yuanheng Zhu, Yaran Chen, Dongbin Zhao

Pages: 4364 - 4375

7) Bilateral-Head Region-Based Convolutional Neural Networks: A Unified Approach for Incremental Few-Shot Object Detection

Author(s): Yiting Li, Haiyue Zhu, Sichao Tian, Jun Ma, Cheng Xiang, Prahlad Vadakkepat

Pages: 4376 - 4390

8) Regional Ensemble for Improving Unsupervised Outlier Detectors

Author(s): Jiawei Yang, Sylwan Rahardja, Susanto Rahardja

Pages: 4391 - 4402

9) Progressively Select and Reject Pseudolabeled Samples for Open-Set Domain Adaptation

Author(s): Qian Wang, Fanlin Meng, Toby P. Breckon

Pages: 4403 - 4414

10) A Lightweight Multidendritic Pyramidal Neuron Model With Neural Plasticity on Image Recognition

Author(s): Yu Zhang, Pengxing Cai, Yanan Sun, Zhiming Zhang, Zhenyu Lei, Shangce Gao

Pages: 4415 - 4427

11) A Multimodal Multiobjective Evolutionary Algorithm for Filter Feature Selection in Multilabel Classification

Author(s): Emrah Hancer, Bing Xue, Mengjie Zhang

Pages: 4428 - 4442

12) A Nonparametric Split and Kernel-Merge Clustering Algorithm

Author(s): Khurram Khan, Atiq ur Rehman, Adnan Khan, Syed Rameez Naqvi, Samir Brahim Belhaouari, Amine Bermak

Pages: 4443 - 4457

13) Universal Transfer Framework for Urban Spatiotemporal Knowledge Based on Radial Basis Function

Author(s): Sheng-Min Chiu, Yow-Shin Liou, Yi-Chung Chen, Chiang Lee, Rong-Kang Shang, Tzu-Yin Chang, Roger Zimmermann

Pages: 4458 - 4469

14) Building a Robust and Efficient Defensive System Using Hybrid Adversarial Attack

Author(s): Rachel Selva Dhanaraj, M. Sridevi

Pages: 4470 - 4478

15) Retain and Adapt: Online Sequential EEG Classification With Subject Shift

Author(s): Tiehang Duan, Zhenyi Wang, Li Shen, Gianfranco Doretto, Donald A. Adjeroh, Fang Li, Cui Tao

Pages: 4479 - 4492

16) Prefetching-based Multiproposal Markov Chain Monte Carlo Algorithm

Author(s): Guifeng Ye, Shaowen Lu

Pages: 4493 - 4505

17) Shuffled Grouping Cross-Channel Attention-Based Bilateral-Filter-Interpolation Deformable ConvNet With Applications to Benthonic Organism Detection

Author(s): Tingkai Chen, Ning Wang

Pages: 4506 - 4518

18) An Intelligent Fingerprinting Technique for Low-Power Embedded IoT Devices

Author(s): Varun Kohli, Muhammad Naveed Aman, Biplab Sikdar

Pages: 4519 - 4534

19) A Novel Applicable Shadow Resistant Neural Network Model for High-Efficiency Grid-Level Pavement Crack Detection

Author(s): Handuo Yang, Ju Huyan, Tao Ma, Yitao Song, Chengjia Han

Pages: 4535 - 4549

20) Prioritized Local Matching Network for Cross-Category Few-Shot Anomaly Detection

Author(s): Huilin Deng, Hongchen Luo, Wei Zhai, Yanming Guo, Yang Cao, Yu Kang

Pages: 4550 - 4561

21) IOTM: Iterative Optimization Trigger Method—A Runtime Data-Free Backdoor Attacks on Deep Neural Networks

Author(s): Iram Arshad, Saeed Hamood Alsamhi, Yuansong Qiao, Brian Lee, Yuhang Ye

Pages: 4562 - 4573

22) An Unbiased Fuzzy Weighted Relative Error Support Vector Machine for Reverse Prediction of Concrete Components

Author(s): Zongwen Fan, Jin Gou, Shaoyuan Weng

Pages: 4574 - 4584

23) Stabilizing Diffusion Model for Robotic Control With Dynamic Programming and Transition Feasibility

Author(s): Haoran Li, Yaocheng Zhang, Haowei Wen, Yuanheng Zhu, Dongbin Zhao

Pages: 4585 - 4594

24) A Unified Conditional Diffusion Framework for Dual Protein Targets-Based Bioactive Molecule Generation

Author(s): Lei Huang, Zheng Yuan, Huihui Yan, Rong Sheng, Linjing Liu, Fuzhou Wang, Weidun Xie, Nanjun Chen, Fei Huang, Songfang Huang, Ka-Chun Wong, Yaoyun Zhang

Pages: 4595 - 4606

25) Learning Counterfactual Explanation of Graph Neural Networks via Generative Flow Network

Author(s): Kangjia He, Li Liu, Youmin Zhang, Ye Wang, Qun Liu, Guoyin Wang

Pages: 4607 - 4619

26) Linear Regression-Based Autonomous Intelligent Optimization for Constrained Multiobjective Problems

Author(s): Yan Wang, Xiaoyan Sun, Yong Zhang, Dunwei Gong, Hejuan Hu, Mingcheng Zuo

Pages: 4620 - 4634

27) Strategic Gradient Transmission With Targeted Privacy-Awareness in Model Training: A Stackelberg Game Analysis

Author(s): Hezhe Sun, Yufei Wang, Huiwen Yang, Kaixuan Huo, Yuzhe Li

Pages: 4635 - 4648

28) An Explainable Intellectual Property Protection Method for Deep Neural Networks Based on Intrinsic Features

Author(s): Mingfu Xue, Xin Wang, Yinghao Wu, Shifeng Ni, Leo Yu Zhang, Yushu Zhang, Weiqiang Liu

Pages: 4649 - 4659

29) Unsupervised Representation Learning for 3-D Magnetic Resonance Imaging Superresolution With Degradation Adaptation

Author(s): Jianan Liu, Hao Li, Tao Huang, Euijoon Ahn, Kang Han, Adeel Razi, Wei Xiang, Jinman Kim, David Dagan Feng

Pages: 4660 - 4674

30) A Causality-Informed Graph Intervention Model for Pancreatic Cancer Early Diagnosis

Author(s): Xinyue Li, Rui Guo, Hongzhang Zhu, Tao Chen, Xiaohua Qian

Pages: 4675 - 4685

31) Remaining Useful Life Prediction via Frequency Emphasizing Mix-Up and Masked Reconstruction

Author(s): Haoren Guo, Haiyue Zhu, Jiahui Wang, Vadakkepat Prahlad, Weng Khuen Ho, Clarence W. de Silva, Tong Heng Lee

Pages: 4686 - 4695

32) UPR-BP: Unsupervised Photoplethysmography Representation Learning for Noninvasive Blood Pressure Estimation

Author(s): Chenbin Ma, Peng Zhang, Fan Song, Zeyu Liu, Youdan Feng, Yufang He, Guanglei Zhang

Pages: 4696 - 4707

33) SBP-GCA: Social Behavior Prediction via Graph Contrastive Learning With Attention

Author(s): Yufei Liu, Jia Wu, Jie Cao

Pages: 4708 - 4722

34) Quadratic Neuron-Empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection

Author(s): Jing-Xiao Liao, Bo-Jian Hou, Hang-Cheng Dong, Hao Zhang, Xiaoge Zhang, Jinwei Sun, Shiping Zhang, Feng-Lei Fan

Pages: 4723 - 4737

35) Automatic Plane Pose Estimation for Cardiac Left Ventricle Coverage Estimation via Deep Adversarial Regression Network

Author(s): Le Zhang, Kevin Bronik, Stefan K. Piechnik, Joao A. C. Lima, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi

Pages: 4738 - 4752

36) Variable Curvature Gabor Convolution and Multibranch Structures for Finger Vein Recognition

Author(s): Jun Li, Huabin Wang, Shicheng Wei, Jian Zhou, Yuankang Shen, Liang Tao

Pages: 4753 - 4764

37) ClassLIE: Structure- and Illumination-Adaptive Classification for Low-Light Image Enhancement

Author(s): Zixiang Wei, Yiting Wang, Lichao Sun, Athanasios V. Vasilakos, Lin Wang

Pages: 4765 - 4775

38) Improving Code Summarization With Tree Transformer Enhanced by Position-Related Syntax Complement

Author(s): Jie Song, Zexin Zhang, Zirui Tang, Shi Feng, Yu Gu

Pages: 4776 - 4786

39) Automated Detection of Harmful Insects in Agriculture: A Smart Framework Leveraging IoT, Machine Learning, and Blockchain

Author(s): Wahidur Rahman, Muhammad Minoar Hossain, Md. Mahedi Hasan, Md. Sadiq Iqbal, Mohammad Motiur Rahman, Khondokar Fida Hasan, Mohammad Ali Moni

Pages: 4787 - 4798

40) MTPret: Improving X-Ray Image Analytics With Multitask Pretraining

Author(s): Weibin Liao, Qingzhong Wang, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou, Yanwu Xu, Haoyi Xiong

Pages: 4799 - 4812

41) Reinforced Reweighting for Self-Supervised Partial Domain Adaptation

Author(s): Keyu Wu, Shengkai Chen, Min Wu, Shili Xiang, Ruibing Jin, Yuecong Xu, Xiaoli Li, Zhenghua Chen

Pages: 4813 - 4822

42) Cross-Modality Calibration in Multi-Input Network for Axillary Lymph Node Metastasis Evaluation

Author(s): Michela Gravina, Domiziana Santucci, Ermanno Cordelli, Paolo Soda, Carlo Sansone

Pages: 4823 - 4836

43) A Novel Grades Prediction Method for Undergraduate Students by Learning Explicit Conditional Distribution

Author(s): Na Zhang, Ming Liu, Lin Wang, Shuangrong Liu, Runyuan Sun, Bo Yang, Shenghui Zhu, Chengdong Li, Cheng Yang, Yuhu Cheng

Pages: 4837 - 4848

IEEE Transactions on Fuzzy Systems, Volume 32, Issue 9, September 2024

1) GIFTWD: A Prospect Theory-Based Generalized Intuitionistic Fuzzy Three-Way Decision Model

Author(s): Jianhua Dai, Tao Chen, Kai Zhang, Dun Liu, Weiping Ding

Pages: 4805 - 4819

2) Three-Way Decision Method Within Prospect Theory via Intuitionistic Fuzzy Numbers in Multiscale Decision Information Systems

Author(s): Yibin Xiao, Jianming Zhan, Chao Zhang, Wei-Zhi Wu

Pages: 4820 - 4834

3) A Novel Three-Way Deep Learning Approach for Multigranularity Fuzzy Association Analysis of Time Series Data

Author(s): Chunmao Jiang, Ying Duan

Pages: 4835 - 4845

4) A Large-Scale Group Decision-Making Method Fusing Three-Way Clustering and Regret Theory Under Fuzzy Preference Relations

Author(s): Lun Guo, Jianming Zhan, Chao Zhang, Zeshui Xu

Pages: 4846 - 4860

5) A Fuzzy Rule-Based System for Portfolio Selection Using Technical Analysis

Author(s): Ahmad Zaman Khan, Pankaj Gupta, Mukesh Kumar Mehlawat

Pages: 4861 - 4875

6) One Network Fits All: A Self-Organizing Fuzzy Neural Network Based Explicit Predictive Control Method for Multimode Process

Author(s): Keke Huang, Xinyu Ying, Xinyi Liu, Dehao Wu, Chunhua Yang, Weihua Gui

Pages: 4876 - 4889

7) Multidimensional Dynamic Pruning: Exploring Spatial and Channel Fuzzy Sparsity

Author(s): Mingwen Shao, Jiandong Kuang, Chao Wang, Wangmeng Zuo, Guoyin Wang

Pages: 4890 - 4901

8) Noise-Estimation-Dominated Fuzzy Segmentation Strategy for Accurate Implantation of Implantable Cardioverter Defibrillators

Author(s): Cong Wang, Xin Tan, Bo Li, MengChu Zhou

Pages: 4902 - 4911

9) Models and Algorithms for Optimizing Thresholds in Fuzzy Representation-Based Three-Way Decision

Author(s): Jiubing Liu, Shutian Huang, Tianrui Li, Qiang Liang, Huaxiong Li, Zhifeng Hao

Pages: 4912 - 4926

10) TWStream: Three-Way Stream Clustering

Author(s): Jiarui Sun, Mingjing Du, Zhenkang Lew, Yongquan Dong

Pages: 4927 - 4939

11) Distributed Fault Diagnosis for Heterogeneous Multiagent Systems: A Hybrid Knowledge-Based and Data-Driven Method

Author(s): Runze Li, Bin Jiang, Yan Zong, Ningyun Lu, Li Guo

Pages: 4940 - 4949

12) Three-Way Decisions With Pythagorean Fuzzy TOPSIS for Internet of Drones

Author(s): Jiajia Zhou, Yian Zhu, Lian Li

Pages: 4950 - 4960

13) Hierarchical Sequential Three-Way Multiattribute Decision-Making Method Based on Regret Theory in Multiscale Fuzzy Decision Systems

Author(s): Jin Qian, Yuehua Lu, Ying Yu, Jie Zhou, Duoqian Miao

Pages: 4961 - 4975

14) Fuzziness-Based Three-Way Decision With Neighborhood Rough Sets Under the Framework of Shadowed Sets

Author(s): Jie Yang, Xiaoqi Wang, Guoyin Wang, Qinghua Zhang, Nenggan Zheng, Di Wu

Pages: 4976 - 4988

15) A Novel Group Three-Way Decision Method Integrating Regret Theory and Consensus Reaching Process for Decision-Making Problems With Interval-Valued Uncertain Information

Author(s): Xiao-Hong Pan, Shi-Fan He, Ying-Ming Wang

Pages: 4989 - 5004

16) ViolinBot: A Framework for Imitation Learning of Violin Bowing Using Fuzzy Logic and PCA

Author(s): Cong Jin, Xiaoyu Liu, YuFei Zhao, Yonggui Zhu, Jie Wang, Hesheng Wang

Pages: 5005 - 5017

17) Graph Classification Method Based on Fuzzy Entropy Causality in a Network Formal Context

Author(s): Min Fan, Huan Li

Pages: 5018 - 5032

18) Intuitionistic Fuzzy MADM in Wargame Leveraging With Deep Reinforcement Learning

Author(s): Yuxiang Sun, Yuanbai Li, Huaxiong Li, Jiubing Liu, Xianzhong Zhou

Pages: 5033 - 5045

19) Fuzzy Multimodal Graph Reasoning for Human-Centric Instructional Video Grounding

Author(s): Yujie Li, Xun Jiang, Xing Xu, Huimin Lu, Heng Tao Shen

Pages: 5046 - 5059

20) Systematic Feature Selection Based on Three-Level Improvements of Fuzzy Dominance Three-Way Neighborhood Rough Sets

Author(s): Xianyong Zhang, Benwei Chen, Duoqian Miao

Pages: 5060 - 5072

21) A New Neurodynamics-Based Model for Fuzzy Convex Optimization Problems With Fuzzy Coefficients and General Constraints

Author(s): Jiqiang Chen, Litao Ma, Witold Pedrycz, Xu Wang

Pages: 5073 - 5085

22) Twin Fuzzy Networks With Interpolation Consistency Regularization for Weakly Supervised Anomaly Detection

Author(s): Zhi Cao, Ye Shi, Yu-Cheng Chang, Xin Yao, Chin-Teng Lin

Pages: 5086 - 5097

23) A Design of Fuzzy Rule-Based Classifier for Multiclass Classification and Its Realization in Horizontal Federated Learning

Author(s): Xingchen Hu, Xiubin Zhu, Lan Yang, Witold Pedrycz, Zhiwu Li

Pages: 5098 - 5108

24) Employing Iterative Feature Selection in Fuzzy Rule-Based Binary Classification

Author(s): Haoning Li, Cong Wang, Qinghua Huang

Pages: 5109 - 5121

25) Heterogeneous Group Consensus Method With Three-Way Decisions Based on Fuzzy Social Networks and Manipulation Behaviors Under Multiscale Information Systems

Author(s): Yibin Xiao, Jianming Zhan, Zeshui Xu, Luis Martínez

Pages: 5122 - 5135

26) Multilabel Feature Selection Based on Fuzzy Mutual Information and Orthogonal Regression

Author(s): Jianhua Dai, Qi Liu, Wenxiang Chen, Chucai Zhang

Pages: 5136 - 5148

27) DMET-Based Double Asynchronous Dissipative Control of Fuzzy Semi-Markov Jump Systems With Redundant Channels

Author(s): Meng-Jie Hu, Ju Hyun Park, Yan-Wu Wang, Jun Cheng, Xiao-Kang Liu

Pages: 5149 - 5162

28) Constructing Interpretable Belief Rule Bases Using a Model-Agnostic Statistical Approach

Author(s): Chao Sun, Yinghui Wang, Tao Yan, Jinlong Yang, Liangyi Huang

Pages: 5163 - 5175

29) Practical Adaptive Backstepping Control for Performance and State Constrained Systems of Cable-Driven Manipulators

Author(s): Yuanlong Xie, Hu Li, Shuting Wang, Shiqi Zheng, Peng Shi

Pages: 5176 - 5188

30) An Interactive Approach for Intuitionistic Fuzzy Data Envelopment Analysis

Author(s): Qingping Gao, Yu Lin, Yu Luo, Xuewen Xu

Pages: 5189 - 5200

31) Multilayer Fuzzy Supremum Approximation to Discrete-Time Synchronization

Author(s): Tianrun Liu, Yang-Yang Chen, Guanghui Wen

Pages: 5201 - 5213

32) Observer-Based Quantized Guaranteed Cost Control of Fuzzy Networked Control Systems With Unreliable Links and Its Applications

Author(s): Qunxian Zheng, Shengyuan Xu, Huaicheng Yan

Pages: 5214 - 5225

33) Flexible Preassigned Finite-Time Fuzzy Bipartite Consensus Control for Nonlinear MASs With Dead-Zone Inputs and Actuator Faults

Author(s): Lei Wan, Huaguang Zhang, Jiayue Sun, Xiaohui Yue, Xiangpeng Xie

Pages: 5226 - 5236

34) Relaxed TS Fuzzy Model Transformation to Improve the Approximation Accuracy/Complexity Tradeoff and Relax the Computation Complexity

Author(s): Péter Baranyi

Pages: 5237 - 5247

35) Optimized Backstepping Attitude Containment Control for Multiple Spacecrafts

Author(s): Sijia Fan, Tong Wang, Chenhui Qin, Jianbin Qiu, Min Li

Pages: 5248 - 5258

36) Fuzzy Neural Network for Representation Learning on Uncertain Graphs

Author(s): Yue-Na Lin, Hai-Chun Cai, Chun-Yang Zhang, Hong-Yu Yao, C. L. Philip Chen

Pages: 5259 - 5271

37) Observer-Based Adaptive Event-Triggered Control for Nonlinear Networked Systems Under Multiple Cyber Attacks

Author(s): Yu Shan, Xiangpeng Xie, Jiayue Sun, Ju H. Park

Pages: 5272 - 5284

38) Fuzzy-Based Sampled-Data Synchronization of the Hindmarsh–Rose Neuronal Model

Author(s): Sasikala Subramaniam, Chee Peng Lim, Prakash Mani

Pages: 5285 - 5295

39) Asynchronous Filtering for Fuzzy Sampled-Data Systems Subject to Censored Measurements and Nonuniform Sampling

Author(s): Jun Cheng, Qiongwen Zhang, Dan Zhang, Huaicheng Yan, Wenhai Qi

Pages: 5296 - 5306

40) Relaxed Stabilization of Interval Type-2 Fuzzy Semi-Markov Jump Systems With DoS Attacks: A Homogeneous Polynomial Approach

Author(s): Shiyao Pan, Xiangpeng Xie, Xiaoming Wu

Pages: 5307 - 5319

41) Cascaded Two-Stage Feature Clustering and Selection via Separability and Consistency in Fuzzy Decision Systems

Author(s): Yuepeng Chen, Weiping Ding, Hengrong Ju, Jiashuang Huang, Tao Yin

Pages: 5320 - 5333

42) Pseudolabel Enhanced Multiview Deep Concept Factorization Fuzzy Clustering

Author(s): Zhuangzhuang Zhao, Hongtan Yang, Zhaohong Deng, Wei Zhang, Chenxi Luo, Guanjin Wang, Yuxi Ge, Shudong Hu

Pages: 5334 - 5347

43) Bell-Shaped Fuzzy Least Square Twin SVM With Biomedical Applications

Author(s): Anuradha Kumari, M. Tanveer, Chin-Teng Lin, the Alzheimer's Disease Neuroimaging Initiative

Pages: 5348 - 5358

44) Fuzzy Clustering From Subset-Clustering to Fullset-Membership

Author(s): Huimin Chen, Yu Duan, Feiping Nie, Rong Wang, Xuelong Li

Pages: 5359 - 5370

45) Zero-Sum-Game-Based Distributed Fuzzy Adaptive Self-Triggered Control of Swarm UAVs Under Intermittent Communication and DoS Attacks

Author(s): Ying Wu, Mou Chen, Mohammed Chadli

Pages: 5371 - 5384

46) Self-Organizing Hybrid Fuzzy Polynomial Neural Network Classifier Driven Through Dynamically Adaptive Structure and Compound Regularization Technique

Author(s): Zhen Wang, Sung-Kwun Oh, Zunwei Fu, Witold Pedrycz, Seok-Beom Roh, Jin Hee Yoon

Pages: 5385 - 5399

Weekly Review 20 September 2024

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky): 

1. Do web browsers really need AI embedded in them? https://www.theregister.com/2024/09/10/web_browsers_ai_holdout_vivaldi/
2. An AI scientist that performs at the level of an early PhD student-a few good ideas, a lot of bad ones, and poor ethics: https://spectrum.ieee.org/ai-for-science-2
3. But will the government AI be able to put you on hold for three hours? https://www.stuff.co.nz/nz-news/350411368/government-launch-ai-chatbot-called-gov-gpt
4. What executives need to do to successfully implement AI in business: https://www.informationweek.com/machine-learning-ai/forrester-ceo-lessons-for-executives-to-implement-ai-successfully
5. Cloning handwriting using AI: https://arstechnica.com/information-technology/2024/09/my-dead-father-is-writing-me-notes-again/
6. Jobs in IT are going to be impacted by AI, especially entry-level helpdesk positions: https://www.computerworld.com/article/3507029/will-genai-kill-the-help-desk-and-other-it-jobs.html
7. The Digital Divide include access to AI technologies: https://thespinoff.co.nz/partner/11-09-2024/how-can-everyone-be-part-of-the-ai-revolution
8. Don't fall for the hard sell over AI: https://www.informationweek.com/machine-learning-ai/cios-resist-ai-hard-sell-as-adoption-tactics-shift
9. Remember folks, conspiracy theories are what stupid people talk about when they want to sound smart. So let an AI talk them out of it: https://spectrum.ieee.org/ai-conspiracy-theories
10. How AI can contribute to marketing: https://www.datasciencecentral.com/how-ai-is-transforming-marketing-strategies/
11. Oracle is building nuclear reactors to produce carbon-free electricity to power its data centres for AI computing: https://www.tomshardware.com/tech-industry/oracle-will-use-three-small-nuclear-reactors-to-power-new-1-gigawatt-ai-data-center
12. Asimov's Three Laws of Robotics were brilliant for their time, but they are flawed in that they assumed that an AI would have a physical presence. They are a good start, though: https://www.datanami.com/2024/09/11/the-three-laws-of-robotics-and-the-future/
13. A guide to the proper way to converse with an AI: https://www.theregister.com/2024/09/11/delvish_llm_language/
14. AI can help to improve sustainability of business operations, but AI themselves have an environmental cost: https://www.informationweek.com/sustainability/how-ai-impacts-sustainability-opportunities-and-risks
15. Some numbers around the adoption of AI: https://blocksandfiles.com/2024/09/11/weka-genai-report/
16. Biased data will result in biased AI models. And businesses have a lot of biases: https://www.informationweek.com/machine-learning-ai/how-bias-influences-outcomes
17. This new AI can at least count: https://arstechnica.com/information-technology/2024/09/openais-new-reasoning-ai-models-are-here-o1-preview-and-o1-mini/
18. A voluntary commitment to combat deepfake nudes isn't very helpful, regulation is needed: https://techcrunch.com/2024/09/12/white-house-extracts-voluntary-commitments-from-ai-vendors-to-combat-deepfake-nudes/
19. California continues to move towards regulation of AI, and tech companies continue to over-state the impact of it: https://www.theverge.com/2024/9/11/24226251/california-sb-1047-ai-industry-regulation-backlash
20. Using one AI to design molecules, and another to explain the outputs of the first: https://spectrum.ieee.org/organic-solar-cells
21. Of course people are using AI to produce election propaganda, they don't have any real facts to attack their opponents with: https://www.theverge.com/2024/9/12/24243021/springfield-ohio-haitians-ai-generated-misinformation-trump
22. Using AI to debunk conspiracy theories: https://www.popsci.com/technology/conspiracy-debunk-ai-bot/
23. European Union takes legal action against Google over the data it uses to train AI: https://www.computerworld.com/article/3518073/google-faces-eu-investigation-over-ai-data-compliance.html
24. A generative AI app for making music: https://dataconomy.com/2024/09/09/how-to-create-music-jamboss-ai-2024/

Complex & Intelligent Systems, Volume 10, Issue 5, October 2024

1) 3D facial animation driven by speech-video dual-modal signals

Author(s): Xuejie Ji, Zhouzhou Liao...Meng Mao

Pages: 5951 - 5964

2) An improved fruit fly optimization algorithm with Q-learning for solving distributed permutation flow shop scheduling problems

Author(s): Cai Zhao, Lianghong Wu...Hongqiang Zhang

Pages: 5965 - 5988

3) A strategic framework for optimal decisions in football 1-vs-1 shot-taking situations: an integrated approach of machine learning, theory-based modeling, and game theory

Author(s): Calvin Yeung, Keisuke Fujii

Pages: 5989 - 6008

4) Population state-driven surrogate-assisted differential evolution for expensive constrained optimization problems with mixed-integer variables

Author(s): Jiansheng Liu, Bin Yuan...Haobo Qiu

Pages: 6009 - 6030

5) An intelligent MRI assisted diagnosis and treatment system for osteosarcoma based on super-resolution

Author(s): Xu Zhong, Fangfang Gou, Jia Wu

Pages: 6031 - 6050

6) A dimension-aware gaining-sharing knowledge algorithm for distributed hybrid flowshop scheduling with resource-dependent processing time

Author(s): Rong-hao Li, Jun-qing Li...Li-jie Mei

Pages: 6051 - 6080

7) Crossover in mutation oriented norm evolution

Author(s): Bingyu Lv, Xianchang Wang, Rui Zhang

Pages: 6081 - 6102

8) Residual serialized cross grouping transformer for small scale sketch face recognition

Author(s): Kangning Du, Yinkai Wang...Yanan Guo

Pages: 6103 - 6116

9) A blockchain-based hybrid encryption technique with anti-quantum signature for securing electronic health records

Author(s): Shtwai Alsubai, Abdullah Alqahtani...Abdu Gumaei

Pages: 6117 - 6141

10) ACGND: towards lower complexity and fast solution for dynamic tensor inversion

Author(s): Aiping Ye, Xiuchun Xiao...Cong Lin

Pages: 6143 - 6157

11) Prioritizing complex health levels beyond autism triage using fuzzy multi-criteria decision-making

Author(s): A. S. Albahri, Rula A. Hamid...A. H. Alamoodi

Pages: 6159 - 6188

12) A multi-scale spatial–temporal capsule network based on sequence encoding for bearing fault diagnosis

Author(s): Youming Wang, Lisha Chen

Pages: 6189 - 6212

13) Bayesian network structure learning with a new ensemble weights and edge constraints setting mechanism

Author(s): Kaiyue Liu, Yun Zhou, Hongbin Huang

Pages: 6213 - 6229

14) A GAN based PID controller for highly adaptive control of a pneumatic-artificial-muscle driven antagonistic joint

Author(s): Zhongchao Zhou, Yuxi Lu...Wenwei Yu

Pages: 6231 - 6248

15) Modelling attack and defense games in infrastructure networks with interval-valued intuitionistic fuzzy set payoffs

Author(s): Yibo Dong, Jin Liu...Weili Li

Pages: 6249 - 6265

16) An oversampling algorithm of multi-label data based on cluster-specific samples and fuzzy rough set theory

Author(s): Jinming Liu, Kai Huang...Jian Mao

Pages: 6267 - 6282

17) Intelligent optimization of steam gasification catalysts for palm oil waste using support vector machine and adaptive transition marine predator algorithm

Author(s): Xin Guo, Yassine Bouteraa...Diego Martín

Pages: 6283 - 6303

18) Chinese Named Entity Recognition method based on multi-feature fusion and biaffine

Author(s): Xiaohua Ke, Xiaobo Wu...Binglong Li

Pages: 6305 - 6318

19) Improving two-layer encoding of evolutionary algorithms for sparse large-scale multiobjective optimization problems

Author(s): Jing Jiang, Huoyuan Wang...Fei Han

Pages: 6319 - 6337

20) A hybrid model to improve IC-related metrics of semantic similarity between words

Author(s): Jia Xiao

Pages: 6339 - 6377

21) Long-term student performance prediction using learning ability self-adaptive algorithm

Author(s): Yi Ren, Xinjie Yu

Pages: 6379 - 6408

22) A novel fractional neural grey system model with discrete q-derivative

Author(s): Zhenguo Xu, Caixia Liu, Tingting Liang

Pages: 6409 - 6420

23) Research on charging strategy based on improved particle swarm optimization PID algorithm

Author(s): Xiuzhuo Wang, Yanfeng Tang...Chunsheng Xu

Pages: 6421 - 6433

24) Spatial-temporal memory enhanced multi-level attention network for origin-destination demand prediction

Author(s): Jiawei Lu, Lin Pan, Qianqian Ren

Pages: 6435 - 6448

25) An iterative two-phase optimization method for heterogeneous multi-drone routing problem considering differentiated demands

Author(s): Huan Liu, Guohua Wu...Wei Zhou

Pages: 6449 - 6466

26) Hybrid structure of maximal ideals in near rings

Author(s): B. Jebapresitha

Pages: 6467 - 6480

27) Joint data augmentations for automated graph contrastive learning and forecasting

Author(s): Jiaqi Liu, Yifu Chen...Yang Gao

Pages: 6481 - 6490

28) Grounding rod hanging and removing robot with hand-eye self-calibration capability in substation

Author(s): Yunhan Lin, Jiahui Wang...Huasong Min

Pages: 6491 - 6507

29) Two-stage many-objective evolutionary algorithm: enhanced dominance relations and control mechanisms for separated balance

Author(s): Wei Li, Qilin Niliang...Qiaoyong Jiang

Pages: 6509 - 6543

30) Enhancing learning on uncertain pixels in self-distillation for object segmentation

Author(s): Lei Chen, Tieyong Cao...Jibin Yang

Pages: 6545 - 6557

31) Aggregation operators of complex fuzzy Z-number sets and their applications in multi-criteria decision making

Author(s): Ali Köseoğlu, Fatma Altun, Rıdvan Şahin

Pages: 6559 - 6579

32) Pose estimation algorithm based on point pair features using PointNet + +

Author(s): Yifan Chen, Zhenjian Li...Mingyue Zhang

Pages: 6581 - 6595

33) An edge-assisted group authentication scheme for the narrowband internet of things

Author(s): Guosheng Zhao, Huan Chen, Jian Wang

Pages: 6597 - 6618

34) Transformer fusion-based scale-aware attention network for multispectral victim detection

Author(s): Yunfan Chen, Yuting Li...Xiangkui Wan

Pages: 6619 - 6632

35) Joint entity and relation extraction combined with multi-module feature information enhancement

Author(s): Yao Li, He Yan...Xu Wang

Pages: 6633 - 6645

36) MDSTF: a multi-dimensional spatio-temporal feature fusion trajectory prediction model for autonomous driving

Author(s): Xing Wang, Zixuan Wu...Lyuchao Liao

Pages: 6647 - 6665

37) Comprehensive comparisons of gradient-based multi-label adversarial attacks

Author(s): Zhijian Chen, Wenjian Luo...Xiangkai Yang

Pages: 6667 - 6692

38) Nested attention network based on category contexts learning for semantic segmentation

Author(s): Tianping Li, Meilin Liu, Dongmei Wei

Pages: 6693 - 6703

39) DFFNet: a lightweight approach for efficient feature-optimized fusion in steel strip surface defect detection

Author(s): Xianming Hu, Shouying Lin

Pages: 6705 - 6723

40) Scalable concept drift adaptation for stream data mining

Author(s): Lisha Hu, Wenxiu Li...Chunyu Hu

Pages: 6725 - 6743

41) Twin-tower transformer network for skeleton-based Parkinson’s disease early detection

Author(s): Lan Ma, Hua Huo...Ningya Xu

Pages: 6745 - 6765

42) Complete area-coverage path planner for surface cleaning in hospital settings using mobile dual-arm robot and GBNN with heuristics

Author(s): Ash Yaw Sang Wan, Lim Yi...Mohan Rajesh Elara

Pages: 6767 - 6785

43) Variational AdaBoost knowledge distillation for skin lesion classification in dermatology images

Author(s): Xiangchun Yu, Guoliang Xiong...Qing Xu

Pages: 6787 - 6804

44) An adaptive trimming approach to Bayesian additive regression trees

Author(s): Taoyun Cao, Jinran Wu, You-Gan Wang

Pages: 6805 - 6823

45) DIB-UAP: enhancing the transferability of universal adversarial perturbation via deep information bottleneck

Author(s): Yang Wang, Yunfei Zheng...Tieyong Cao

Pages: 6825 - 6837

46) Moboa: a proposal for multiple objective bean optimization algorithm

Author(s): Lele Xie, Xiaoli Lu...Shangshang Yang

Pages: 6839 - 6865

47) Multi-UAV pursuit-evasion gaming based on PSO-M3DDPG schemes

Author(s): Yaozhong Zhang, Meiyan Ding...Frank Jiang

Pages: 6867 - 6883

48) Enhancing robustness in asynchronous feature tracking for event cameras through fusing frame steams

Author(s): Haidong Xu, Shumei Yu...Lining Sun

Pages: 6885 - 6899

49) Recommending suitable hotels to travelers in the post-COVID-19 pandemic using a novel FAHP-fuzzy TOPSIS approach

Author(s): Tin-Chih Toly Chen, Hsin-Chieh Wu, Keng-Wei Hsu

Pages: 6901 - 6915

50) GraphMriNet: a few-shot brain tumor MRI image classification model based on Prewitt operator and graph isomorphic network

Author(s): Bin Liao, Hangxu Zuo...Yong Li

Pages: 6917 - 6930

51) Global semantics correlation transmitting and learning for sketch-based cross-domain visual retrieval

Author(s): Shichao Jiao, Xie Han...Ligang He

Pages: 6931 - 6952

52) An end-to-end hand action recognition framework based on cross-time mechanomyography signals

Author(s): Yue Zhang, Tengfei Li...Maoxun Sun

Pages: 6953 - 6964

53) Model inductive bias enhanced deep reinforcement learning for robot navigation in crowded environments

Author(s): Man Chen, Yongjie Huang...Zhisong Pan

Pages: 6965 - 6982

54) A novel BWM-entropy-COPRAS group decision framework with spherical fuzzy information for digital supply chain partner selection

Author(s): Kai Gao, Tingting Liu...Tapan Senapati

Pages: 6983 - 7008

55) A novel fuzzy finite-horizon economic lot and delivery scheduling model with sequence-dependent setups

Author(s): Esmat Sangari, Fariborz Jolai, Mohamad Sadegh Sangari

Pages: 7009 - 7031

56) Strategic analysis of intelligent connected vehicle industry competitiveness: a comprehensive evaluation system integrating rough set theory and projection pursuit

Author(s): Yi Wang, Fan Zhang...Kai Kang

Pages: 7033 - 7062

57) KnowledgeNavigator: leveraging large language models for enhanced reasoning over knowledge graph

Author(s): Tiezheng Guo, Qingwen Yang...Yingyou Wen

Pages: 7063 - 7076

58) Self-supervised multi-object tracking based on metric learning

Author(s): Xin Feng, Yan Liu...Zhi Liu

Pages: 7077 - 7088

59) Optimal time reuse strategy-based dynamic multi-AGV path planning method

Author(s): Ke Wang, Wei Liang...Qi Wang

Pages: 7089 - 7108

60) Reinforced robotic bean optimization algorithm for cooperative target search of unmanned aerial vehicle swarm

Author(s): Jun Li, Hongwei Cheng...Xiaoming Zhang

Pages: 7109 - 7126

61) Optimal saturated information load analysis for enhancing robustness in unmanned swarms system

Author(s): Jian Wu, Yichuan Jiang...Linfei Ding

Pages: 7127 - 7142

62) Multi-view subspace clustering based on multi-order neighbor diffusion

Author(s): Yin Long, Hongbin Xu...Xujian Zhao

Pages: 7143 - 7161

63) Improving the reliability of nanosatellite swarms by adopting blockchain technology

Author(s): Hussein A. Ibrahim, Marwa A. Shouman...Ayman Ahmed

Pages: 7163 - 7182

64) Reparameterized underwater object detection network improved by cone-rod cell module and WIOU loss

Author(s): Xuantao Yang, Chengzhong Liu, Junying Han

Pages: 7183 - 7198

65) A granularity data method for power frequency electric and electromagnetic fields forecasting based on T–S fuzzy model

Author(s): Peng Nie, Qiang Yu...Xiguo Yuan

Pages: 7199 - 7211

66) A multi-period intuitionistic fuzzy consensus reaching model for group decision making problem in social network

Author(s): Wei Yang, Luxiang Zhang

Pages: 7213 - 7234

67) Automatic control of UAVs: new adaptive rules and type-3 fuzzy stabilizer

Author(s): Jinya Cai, Haiping Zhang...Chunwei Zhang

Pages: 7235 - 7248

68) Attention-based RNN with question-aware loss and multi-level copying mechanism for natural answer generation

Author(s): Fen Zhao, Huishuang Shao...Yan Yu

Pages: 7249 - 7264

69) Prototype as query for few shot semantic segmentation

Author(s): Leilei Cao, Yibo Guo...Qiangguo Jin

Pages: 7265 - 7278

70) Automated abnormalities detection in mammography using deep learning

Author(s): Ghada M. El-Banby, Nourhan S. Salem...Essam N. Abd El-Azziz

Pages: 7279 - 7295

71) A distributed adaptive policy gradient method based on momentum for multi-agent reinforcement learning

Author(s): Junru Shi, Xin Wang...Qingtao Wu

Pages: 7297 - 7310

72) Indirect adaptive observer control (I-AOC) design for truck–trailer model based on T–S fuzzy system with unknown nonlinear function

Author(s): Muhammad Shamrooz Aslam, Hazrat Bilal...Mohamed Hussien

Pages: 7311 - 7331

73) Unsupervised Graph Representation Learning with Inductive Shallow Node Embedding

Author(s): Richárd Kiss, Gábor Szűcs

Pages: 7333 - 7348

74) TRAA: a two-risk archive algorithm for expensive many-objective optimization

Author(s): Ji Lin, Quanliang Liu

Pages: 7349 - 7371

75) A novel bayesian network-based ensemble classifier chains for multi-label classification

Author(s): Zhenwu Wang, Shiqi Zhang...Benting Wan

Pages: 7373 - 7399

76) Transferable preference learning in multi-objective decision analysis and its application to hydrocracking

Author(s): Guo Yu, Xinzhe Wang...Quanling Zhang

Pages: 7401 - 7418

77) Correction to: MDSTF: a multi-dimensional spatio-temporal feature fusion trajectory prediction model for autonomous driving

Author(s): Xing Wang, Zixuan Wu...Lyuchao Liao

Pages: 7419 - 7420

Weekly Review 13 September 2024

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky): 

1. An AI driven style guide for those shopping for clothes: https://www.theguardian.com/business/article/2024/sep/05/m-and-s-using-ai-to-advise-shoppers-body-shape-style-preferences
2. An AI to perform financial compliance monitoring. But who is going to monitor the monitor? https://techcrunch.com/2024/09/05/sedric-monitors-the-communications-of-employees-at-financial-institutions-to-ensure-compliance/
3. Will an opt-in structure around copyright material solve the legal and ethical problems around AI training data? https://arstechnica.com/ai/2024/09/new-ai-standards-group-wants-to-make-data-scraping-opt-in/
4. Crowdstrike's contracts immunised against liability after their software crashed the world. Is there similar language in AI software contracts? https://www.informationweek.com/it-leadership/contractual-lessons-learned-from-the-crowdstrike-outage
5. Why Apple in particular? What is so bad about their AI that people don't want them scraping their websites for training data? https://futurism.com/the-byte/apple-ai-training
6. Tell me you like a toxic workplace without saying you like a toxic workplace: https://www.nzherald.co.nz/nz/auckland-university-of-technology-survey-uncovers-concerning-law-school-workplace-higher-staff-bullying-rates/G27CB6BR3JGRPI2VX6DP4I4UEI/
7. AI alone is not going to solve problems, there needs to be social change as well: https://spectrum.ieee.org/ai-for-good
8. AI starts copying users' voices without their consent: https://futurism.com/the-byte/chatgpt-clone-voice-without-permission
9. Is banning AI from a writing competition really classist or ableist? https://arstechnica.com/information-technology/2024/09/generative-ai-backlash-hits-annual-writing-event-prompting-resignations/
10. More on the high demand of AI for energy and water: https://www.theregister.com/2024/09/05/ai_water_energy/
11. The Australian government wants mandatory guardrails for AI in high risk applications: https://www.techrepublic.com/article/australia-proposes-mandatory-guardrials-ai/
12. 30% of generative AI projects fail. What's the failure rate of other software projects? https://www.techrepublic.com/article/30-generative-ai-projects-fail-amid-high-costs-and-risks/
13. Improving healthcare outcomes with AI symptom checkers: https://dataconomy.com/2024/09/03/how-can-ai-powered-symptom-checkers-and-diagnostic-tools-improve-healthcare-outcomes/
14. An overview of reinforcement learning: https://www.kdnuggets.com/understanding-the-basics-of-reinforcement-learning
15. Geothermal energy is getting a boost as tech companies seek low-carbon electricity to power their AI: https://www.popsci.com/technology/geothermal-ai/
16. Is Auckland Uni's VC starting to listen to staff? Or was it just the bad publicity that forced a back-down? https://www.nzherald.co.nz/nz/auckland-university-course-shake-up-backdown-after-course-shake-up-sparks-academic-revolt/6YMS35GH7BHG5FR2UYOTNF3SDY/
17. A new token technology that allows AI to trade with one another: https://dataconomy.com/2024/09/02/the-first-ever-ai-to-ai-crypto-transaction-has-just-happened/
18. Do all tertiary graduates need to know about AI? https://www.insidehighered.com/opinion/views/2024/09/06/ensuring-every-student-will-graduate-knowing-ai-opinion
19. How generative AI is being used in healthcare: https://www.informationweek.com/it-sectors/how-healthcare-and-life-science-companies-are-using-genai
20. Some ways AI can help with HR functions: https://www.datanami.com/2024/09/05/how-ai-could-be-used-to-improve-talent-acquisition-and-management/
21. Bill Gates' thoughts on AI and its energy demands, including nuclear power:  https://www.theverge.com/24235730/bill-gates-ai-climate-change-energy-tech-microsoft-netflix
22. YouTube is developing tools to detect AI generated versions of content creators, among other things: https://techcrunch.com/2024/09/05/youtube-is-developing-ai-detection-tools-for-music-and-faces-plus-creator-controls-for-ai-training/
23. AI can be both the hero and villain of climate change, by improving carbon neutral generation, but at the same time demanding more energy: https://www.datasciencecentral.com/are-bill-gates-energy-expectations-for-ai-optimism-or-realism/

Weekly Review 6 September 2024

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky): 

1. There are a lot of assumptions behind large language model AI, and these assumptions might not be valid: https://www.theregister.com/2024/08/30/ai_language_cognition_research/
2. Violating authors' copyrights on academic publications is a nonsense objection, because authors don't get paid for their contributions. All the money goes to the publishers: https://www.insidehighered.com/news/government/science-research-policy/2024/08/29/open-access-expansion-threatens-academic
3. AI needs a lot of data to train on. Is OpenAI's deal with publishers to get more data, or protect against lawsuits? https://www.theverge.com/2024/8/30/24230975/openai-publisher-deals-web-search
4. Is it just me, or does Auckland University's VC have a bit of a credibility problem? https://www.nzherald.co.nz/nz/university-of-auckland-academics-in-unprecedented-revolt-over-controversial-course-shake-up/ODXSAEWSHFHFLLPR73HWSOEMTE/
5. I think it would be better to pay teachers better than spend money on dodgy AI tools: https://www.theregister.com/2024/08/29/uk_ai_for_teachers/
6. Wall Street is really bad at picking long-term winners, especially in AI: https://www.computerworld.com/article/3496244/will-microsofts-big-roll-of-the-ai-dice-pay-off.html
7. More movement on the California AI regulation laws. Predictably, tech companies are not happy: https://www.theguardian.com/technology/article/2024/aug/29/california-ai-regulation-bill
8. Combining the polytechs was a stupid idea, and it's going to take years to repair the damage it caused. Unfortunately, I don't think the current government has the ability or inclination to do it: https://www.stuff.co.nz/nz-news/350395029/te-pukenga-staff-pissed-tired-organisations-constant-change
9. One way to reduce the climate impact of AI is to make the hardware more energy efficient: https://www.theregister.com/2024/08/29/ai_thirst_for_power/
10. The previous government kept the border closed for too long, and kept international students out for too long. Universities are suffering because of this: https://www.stuff.co.nz/nz-news/350394733/universities-finances-worse-they-appear-two-unis-high-risk-report-says
11. Why generative AI can't spell. Or count: https://techcrunch.com/video/techcrunch-minute-heres-why-ai-has-a-hard-time-spelling-strawberry/
12. Just because current AI can butcher language doesn't mean we're any closer to artificial general intelligence. A parrot can ask if you want a cup of tea, but still doesn't know to put the kettle on: https://www.informationweek.com/machine-learning-ai/artificial-general-intelligence-in-2025-good-luck-with-that
13. AI can be used to cheat on multiple choice tests, but they're really bad at it: https://www.insidehighered.com/news/tech-innovation/artificial-intelligence/2024/08/30/professor-finds-way-see-if-students-used-ai
14. The conditions and personality traits that lead to workaholism seem to be rather common in academia: https://knowablemagazine.org/content/article/society/2024/are-you-a-workaholic-how-to-spot-the-signs
15. The problem with AI travel planning is that AI have no idea what people like, what makes a nice hotel, or a nice restaurant: https://www.popsci.com/diy/how-to-plan-travel-with-ai/
16. Using AI to detect and determine illnesses from the sounds people make: https://techcrunch.com/2024/08/29/google-is-working-on-ai-that-can-hear-signs-of-sickness/
17. While AI companies need to respect robots.txt, there also needs to be some standardisation as to how website owners specify what content they don't want crawled for AI training: https://spectrum.ieee.org/web-crawling
18. The skills you need to have to survive in IT in the age of AI: https://spectrum.ieee.org/it-professionals-in-ai-era
19. Finally there's a definition of open source AI. AI companies don't like it: https://www.computerworld.com/article/3496197/the-phrase-open-source-ai-gets-a-definition.html
20. Using AI to detect and predict the progression of dementia from brain scans: https://www.extremetech.com/science/researchers-train-dementia-spotting-ai-on-over-a-million-brain-scans
21. Watermarking of AI generated content is a great idea, but trolls won't use it. Neither will those with more nefarious motivations: https://futurism.com/the-byte/grimes-ai-elon-musk-diss-magazine
22. I still don't think these wearable AI devices are going to be successful as long as they are trying to do something that a smartphone can do much cheaper: https://techcrunch.com/video/techcrunch-minute-plauds-notepin-is-a-wearable-ai-powered-notetaker/
23. How to avoid five common errors when processing data: https://www.kdnuggets.com/5-common-data-science-mistakes-and-how-to-avoid-them
24. AI make prosthetic limbs move more naturally and precisely: https://www.informationweek.com/machine-learning-ai/how-ai-is-revolutionizing-prosthetics-to-refine-movement

IEEE Transactions on Neural Networks and Learning Systems, Volume 35, Number 9, September 2024

1) Guest Editorial: Special Issue on Graph Learning

Author(s): Feng Xia, Renaud Lambiotte, Neil Shah, Hanghang Tong, Irwin King

Pages: 11630 - 11633

2) Permutation Equivariant Graph Framelets for Heterophilous Graph Learning

Author(s): Jianfei Li, Ruigang Zheng, Han Feng, Ming Li, Xiaosheng Zhuang

Pages: 11634 - 11648

3) MARML: Motif-Aware Deep Representation Learning in Multilayer Networks

Author(s): Da Zhang, Mansur R. Kabuka

Pages: 11649 - 11660

4) Toward Robust Graph Semi-Supervised Learning Against Extreme Data Scarcity

Author(s): Kaize Ding, Elnaz Nouri, Guoqing Zheng, Huan Liu, Ryen White

Pages: 11661 - 11670

5) Graph Embedded Intuitionistic Fuzzy Random Vector Functional Link Neural Network for Class Imbalance Learning

Author(s): M. A. Ganaie, M. Sajid, A. K. Malik, M. Tanveer

Pages: 11671 - 11680

6) Affinity Uncertainty-Based Hard Negative Mining in Graph Contrastive Learning

Author(s): Chaoxi Niu, Guansong Pang, Ling Chen

Pages: 11681 - 11691

7) Knowledge Graph Alignment Under Scarce Supervision: A General Framework With Active Cross-View Contrastive Learning

Author(s): Weixin Zeng, Xiang Zhao, Jiuyang Tang, Changjun Fan

Pages: 11692 - 11705

8) Motif-Based Contrastive Learning for Community Detection

Author(s): Xunxun Wu, Chang-Dong Wang, Jia-Qi Lin, Wu-Dong Xi, Philip S. Yu

Pages: 11706 - 11719

9) Refining Euclidean Obfuscatory Nodes Helps: A Joint-Space Graph Learning Method for Graph Neural Networks

Author(s): Zhaogeng Liu, Feng Ji, Jielong Yang, Xiaofeng Cao, Muhan Zhang, Hechang Chen, Yi Chang

Pages: 11720 - 11733

10) Gegenbauer Graph Neural Networks for Time-Varying Signal Reconstruction

Author(s): Jhon A. Castro-Correa, Jhony H. Giraldo, Mohsen Badiey, Fragkiskos D. Malliaros

Pages: 11734 - 11745

11) A Graph-Neural-Network-Powered Solver Framework for Graph Optimization Problems

Author(s): Congsong Zhang, Yong Gao, James Nastos

Pages: 11746 - 11760

12) Physics-Informed Explainable Continual Learning on Graphs

Author(s): Ciyuan Peng, Tao Tang, Qiuyang Yin, Xiaomei Bai, Suryani Lim, Charu C. Aggarwal

Pages: 11761 - 11772

13) GAP-LSTM: Graph-Based Autocorrelation Preserving Networks for Geo-Distributed Forecasting

Author(s): Massimiliano Altieri, Roberto Corizzo, Michelangelo Ceci

Pages: 11773 - 11787

14) Deep Learning for Dynamic Graphs: Models and Benchmarks

Author(s): Alessio Gravina, Davide Bacciu

Pages: 11788 - 11801

15) Correlation-Aware Spatial–Temporal Graph Learning for Multivariate Time-Series Anomaly Detection

Author(s): Yu Zheng, Huan Yee Koh, Ming Jin, Lianhua Chi, Khoa T. Phan, Shirui Pan, Yi-Ping Phoebe Chen, Wei Xiang

Pages: 11802 - 11816

16) Reconstructed Graph Neural Network With Knowledge Distillation for Lightweight Anomaly Detection

Author(s): Xiaokang Zhou, Jiayi Wu, Wei Liang, Kevin I-Kai Wang, Zheng Yan, Laurence T. Yang, Qun Jin

Pages: 11817 - 11828

17) A Multitask Dynamic Graph Attention Autoencoder for Imbalanced Multilabel Time Series Classification

Author(s): Le Sun, Chenyang Li, Yongjun Ren, Yanchun Zhang

Pages: 11829 - 11842

18) Personalized Federated Graph Learning on Non-IID Electronic Health Records

Author(s): Tao Tang, Zhuoyang Han, Zhen Cai, Shuo Yu, Xiaokang Zhou, Taiwo Oseni, Sajal K. Das

Pages: 11843 - 11856

19) Learning Joint 2-D and 3-D Graph Diffusion Models for Complete Molecule Generation

Author(s): Han Huang, Leilei Sun, Bowen Du, Weifeng Lv

Pages: 11857 - 11871

20) Relation-Aware Heterogeneous Graph Network for Learning Intermodal Semantics in Textbook Question Answering

Author(s): Sai Zhang, Yunjie Wu, Xiaowang Zhang, Zhiyong Feng, Liang Wan, Zhiqiang Zhuang

Pages: 11872 - 11883

21) Object Counting via Group and Graph Attention Network

Author(s): Xiangyu Guo, Mingliang Gao, Guofeng Zou, Alessandro Bruno, Abdellah Chehri, Gwanggil Jeon

Pages: 11884 - 11895

22) GRA: Graph Representation Alignment for Semi-Supervised Action Recognition

Author(s): Kuan-Hung Huang, Yao-Bang Huang, Yong-Xiang Lin, Kai-Lung Hua, M. Tanveer, Xuequan Lu, Imran Razzak

Pages: 11896 - 11905

23) Backpropagation-Based Learning Techniques for Deep Spiking Neural Networks: A Survey

Author(s): Manon Dampfhoffer, Thomas Mesquida, Alexandre Valentian, Lorena Anghel

Pages: 11906 - 11921

24) Towards Fairness-Aware Federated Learning

Author(s): Yuxin Shi, Han Yu, Cyril Leung

Pages: 11922 - 11938

25) Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey

Author(s): Amjad Yousef Majid, Serge Saaybi, Vincent Francois-Lavet, R. Venkatesha Prasad, Chris Verhoeven

Pages: 11939 - 11957

26) Few-Shot Object Detection: A Comprehensive Survey

Author(s): Mona Köhler, Markus Eisenbach, Horst-Michael Gross

Pages: 11958 - 11978

27) Designing Efficient Bit-Level Sparsity-Tolerant Memristive Networks

Author(s): Bo Lyu, Shiping Wen, Yin Yang, Xiaojun Chang, Junwei Sun, Yiran Chen, Tingwen Huang

Pages: 11979 - 11988

28) SSAGCN: Social Soft Attention Graph Convolution Network for Pedestrian Trajectory Prediction

Author(s): Pei Lv, Wentong Wang, Yunxin Wang, Yuzhen Zhang, Mingliang Xu, Changsheng Xu

Pages: 11989 - 12003

29) Multicontrast MRI Super-Resolution via Transformer-Empowered Multiscale Contextual Matching and Aggregation

Author(s): Jun Lyu, Guangyuan Li, Chengyan Wang, Qing Cai, Qi Dou, David Zhang, Jing Qin

Pages: 12004 - 12014

30) Memristive Circuit Implementation of Caenorhabditis Elegans Mechanism for Neuromorphic Computing

Author(s): Hegan Chen, Qinghui Hong, Zhongrui Wang, Chunhua Wang, Xiangxiang Zeng, Jiliang Zhang

Pages: 12015 - 12026

31) Sparse Personalized Federated Learning

Author(s): Xiaofeng Liu, Yinchuan Li, Qing Wang, Xu Zhang, Yunfeng Shao, Yanhui Geng

Pages: 12027 - 12041

32) Continual Learning of Generative Models With Limited Data: From Wasserstein-1 Barycenter to Adaptive Coalescence

Author(s): Mehmet Dedeoglu, Sen Lin, Zhaofeng Zhang, Junshan Zhang

Pages: 12042 - 12056

33) Newton–Raphson Meets Sparsity: Sparse Learning Via a Novel Penalty and a Fast Solver

Author(s): Yongxiu Cao, Lican Kang, Xuerui Li, Yanyan Liu, Yuan Luo, Yueyong Shi

Pages: 12057 - 12067

34) Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models

Author(s): Łukasz Struski, Michał Sadowski, Tomasz Danel, Jacek Tabor, Igor T. Podolak

Pages: 12068 - 12082

35) Robust-EQA: Robust Learning for Embodied Question Answering With Noisy Labels

Author(s): Haonan Luo, Guosheng Lin, Fumin Shen, Xingguo Huang, Yazhou Yao, Hengtao Shen

Pages: 12083 - 12094

36) Security Versus Accuracy: Trade-Off Data Modeling to Safe Fault Classification Systems

Author(s): Yue Zhuo, Zhihuan Song, Zhiqiang Ge

Pages: 12095 - 12106

37) Data-Driven-Based Cooperative Resilient Learning Method for Nonlinear MASs Under DoS Attacks

Author(s): Chao Deng, Xiao-Zheng Jin, Zheng-Guang Wu, Wei-Wei Che

Pages: 12107 - 12116

38) Class-Imbalanced-Aware Distantly Supervised Named Entity Recognition

Author(s): Yuren Mao, Yu Hao, Weiwei Liu, Xuemin Lin, Xin Cao

Pages: 12117 - 12129

39) Learning Heterogeneous Spatial–Temporal Context for Skeleton-Based Action Recognition

Author(s): Xuehao Gao, Yang Yang, Yang Wu, Shaoyi Du

Pages: 12130 - 12141

40) Modeling High-Order Relationships: Brain-Inspired Hypergraph-Induced Multimodal-Multitask Framework for Semantic Comprehension

Author(s): Xian Sun, Fanglong Yao, Chibiao Ding

Pages: 12142 - 12156

41) SSGCNet: A Sparse Spectra Graph Convolutional Network for Epileptic EEG Signal Classification

Author(s): Jialin Wang, Rui Gao, Haotian Zheng, Hao Zhu, C.-J. Richard Shi

Pages: 12157 - 12171

42) Task-Oriented Robot Cognitive Manipulation Planning Using Affordance Segmentation and Logic Reasoning

Author(s): Zhongli Wang, Guohui Tian

Pages: 12172 - 12185

43) Active Clustering Ensemble With Self-Paced Learning

Author(s): Peng Zhou, Bicheng Sun, Xinwang Liu, Liang Du, Xuejun Li

Pages: 12186 - 12200

44) Pivotal-Aware Principal Component Analysis

Author(s): Xuelong Li, Pei Li, Hongyuan Zhang, Kangjia Zhu, Rui Zhang

Pages: 12201 - 12210

45) Distributed Adaptive Output Feedback Consensus for Nonlinear Stochastic Multiagent Systems by Reference Generator Approach

Author(s): Guopin Liu, Ju H. Park, Changchun Hua, Hongshuang Xu, Yafeng Li

Pages: 12211 - 12223

46) Efficient and Effective One-Step Multiview Clustering

Author(s): Jun Wang, Chang Tang, Zhiguo Wan, Wei Zhang, Kun Sun, Albert Y. Zomaya

Pages: 12224 - 12235

47) Deep Attentional Guided Image Filtering

Author(s): Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Xiangyang Ji

Pages: 12236 - 12250

48) Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution

Author(s): Chun-Mei Feng, Yunlu Yan, Kai Yu, Yong Xu, Huazhu Fu, Jian Yang, Ling Shao

Pages: 12251 - 12262

49) An FPGA-Implemented Antinoise Fuzzy Recurrent Neural Network for Motion Planning of Redundant Robot Manipulators

Author(s): Zhijun Zhang, Haotian He, Xianzhi Deng

Pages: 12263 - 12275

50) Hierarchical Weight Averaging for Deep Neural Networks

Author(s): Xiaozhe Gu, Zixun Zhang, Yuncheng Jiang, Tao Luo, Ruimao Zhang, Shuguang Cui, Zhen Li

Pages: 12276 - 12287

51) Improving Deep Neural Networks’ Training for Image Classification With Nonlinear Conjugate Gradient-Style Adaptive Momentum

Author(s): Bao Wang, Qiang Ye

Pages: 12288 - 12300

52) Online Multi-View Learning With Knowledge Registration Units

Author(s): Sheng Wu, Ancong Wu, Wei-Shi Zheng

Pages: 12301 - 12315

53) Distribution Matching for Machine Teaching

Author(s): Xiaofeng Cao, Ivor W. Tsang

Pages: 12316 - 12329

54) New Results on Rapid Dynamical Pattern Recognition via Deterministic Learning From Sampling Sequences

Author(s): Weiming Wu, Jingtao Hu, Fukai Zhang, Cong Wang

Pages: 12330 - 12343

55) Modal-Regression-Based Broad Learning System for Robust Regression and Classification

Author(s): Licheng Liu, Tingyun Liu, C. L. Philip Chen, Yaonan Wang

Pages: 12344 - 12357

56) Homophily-Enhanced Self-Supervision for Graph Structure Learning: Insights and Directions

Author(s): Lirong Wu, Haitao Lin, Zihan Liu, Zicheng Liu, Yufei Huang, Stan Z. Li

Pages: 12358 - 12372

57) Effective Active Learning Method for Spiking Neural Networks

Author(s): Xiurui Xie, Bei Yu, Guisong Liu, Qiugang Zhan, Huajin Tang

Pages: 12373 - 12382

58) Dynamic Graph Representation Learning via Coupling-Process Model

Author(s): Pingtao Duan, Chuan Zhou, Yuting Liu

Pages: 12383 - 12395

59) Finite-Time Neural Network-Based Hierarchical Sliding Mode Antiswing Control for Underactuated Dual Ship-Mounted Cranes With Unmatched Sea Wave Disturbances Suppression

Author(s): Yuzhe Qian, Haibo Zhang, Die Hu

Pages: 12396 - 12408

60) Preassigned Time Adaptive Neural Tracking Control for Stochastic Nonlinear Multiagent Systems With Deferred Constraints

Author(s): Xiyue Guo, Huaguang Zhang, Jiayue Sun, Yu Zhou

Pages: 12409 - 12418

61) TAG: Teacher-Advice Mechanism With Gaussian Process for Reinforcement Learning

Author(s): Ke Lin, Duantengchuan Li, Yanjie Li, Shiyu Chen, Qi Liu, Jianqi Gao, Yanrui Jin, Liang Gong

Pages: 12419 - 12433

62) CapsRule: Explainable Deep Learning for Classifying Network Attacks

Author(s): Samaneh Mahdavifar, Ali A. Ghorbani

Pages: 12434 - 12448

63) Adaptive Modular Neural Control for Online Gait Synchronization and Adaptation of an Assistive Lower-Limb Exoskeleton

Author(s): Arthicha Srisuchinnawong, Chaicharn Akkawutvanich, Poramate Manoonpong

Pages: 12449 - 12458

64) Marginalized Augmented Few-Shot Domain Adaptation

Author(s): Taotao Jing, Haifeng Xia, Jihun Hamm, Zhengming Ding

Pages: 12459 - 12469

65) Bit Reduction for Locality-Sensitive Hashing

Author(s): Huawen Liu, Wenhua Zhou, Hong Zhang, Gang Li, Shichao Zhang, Xuelong Li

Pages: 12470 - 12481

66) A Dini-Derivative-Aided Zeroing Neural Network for Time-Variant Quadratic Programming Involving Multi-Type Constraints With Robotic Applications

Author(s): Weibing Li, Yongping Pan

Pages: 12482 - 12493

67) MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation

Author(s): Shenwang Jiang, Jianan Li, Ying Wang, Wenxuan Wu, Jizhou Zhang, Bo Huang, Tingfa Xu

Pages: 12494 - 12506

68) CoSeg: Cognitively Inspired Unsupervised Generic Event Segmentation

Author(s): Xiao Wang, Jingen Liu, Tao Mei, Jiebo Luo

Pages: 12507 - 12517

69) SALR: Sharpness-Aware Learning Rate Scheduler for Improved Generalization

Author(s): Xubo Yue, Maher Nouiehed, Raed Al Kontar

Pages: 12518 - 12527

70) Semi-Supervised Mixture Learning for Graph Neural Networks With Neighbor Dependence

Author(s): Kai Liu, Hongbo Liu, Tao Wang, Guoqiang Hu, Tomas E. Ward, C. L. Philip Chen

Pages: 12528 - 12539

71) Metafeature Selection via Multivariate Sparse-Group Lasso Learning for Automatic Hyperparameter Configuration Recommendation

Author(s): Liping Deng, Wen-Sheng Chen, Mingqing Xiao

Pages: 12540 - 12552

72) Modified RNN for Solving Comprehensive Sylvester Equation With TDOA Application

Author(s): Jingkun Yan, Long Jin, Xin Luo, Shuai Li

Pages: 12553 - 12563

73) Semantic-Aware Dynamic Generation Networks for Few-Shot Human–Object Interaction Recognition

Author(s): Zhong Ji, Ping An, Xiyao Liu, Changxin Gao, Yanwei Pang, Ling Shao

Pages: 12564 - 12575

74) Graph-Based Unsupervised Feature Selection for Interval-Valued Information System

Author(s): Weihua Xu, Man Huang, Zongying Jiang, Yuhua Qian

Pages: 12576 - 12589

75) Graph Neural Networks With High-Order Polynomial Spectral Filters

Author(s): Zeyuan Zeng, Qinke Peng, Xu Mou, Ying Wang, Ruimeng Li

Pages: 12590 - 12603

76) Computation-Efficient Fault Detection Framework for Partially Known Nonlinear Distributed Parameter Systems

Author(s): Yun Feng, Yaonan Wang, Yang Mo, Yiming Jiang, Zhijie Liu, Wei He, Han-Xiong Li

Pages: 12604 - 12616

77) PDE-Based Boundary Adaptive Consensus Control of Multiagent Systems With Input Constraints

Author(s): Wei Zhao, Yu Liu, Xiangqian Yao

Pages: 12617 - 12626

78) Distilling Privileged Knowledge for Anomalous Event Detection From Weakly Labeled Videos

Author(s): Tianshan Liu, Kin-Man Lam, Jun Kong

Pages: 12627 - 12641

79) A Novel Swarm Exploring Varying Parameter Recurrent Neural Network for Solving Non-Convex Nonlinear Programming

Author(s): Zhijun Zhang, Xiaohui Ren, Jilong Xie, Yamei Luo

Pages: 12642 - 12652

80) Moment-Based Reinforcement Learning for Ensemble Control

Author(s): Yao-Chi Yu, Vignesh Narayanan, Jr-Shin Li

Pages: 12653 - 12664

81) Advancing Adversarial Training by Injecting Booster Signal

Author(s): Hong Joo Lee, Youngjoon Yu, Yong Man Ro

Pages: 12665 - 12677

82) Multiexperience-Assisted Efficient Multiagent Reinforcement Learning

Author(s): Tianle Zhang, Zhen Liu, Jianqiang Yi, Shiguang Wu, Zhiqiang Pu, Yanjie Zhao

Pages: 12678 - 12692

83) Neural Network-Based Robust Guaranteed Cost Control for Image-Based Visual Servoing of Quadrotor

Author(s): Xinning Yi, Biao Luo, Yuqian Zhao

Pages: 12693 - 12705

84) Toward Subgraph-Guided Knowledge Graph Question Generation With Graph Neural Networks

Author(s): Yu Chen, Lingfei Wu, Mohammed J. Zaki

Pages: 12706 - 12717

85) PP-NAS: Searching for Plug-and-Play Blocks on Convolutional Neural Networks

Author(s): Anqi Xiao, Biluo Shen, Jie Tian, Zhenhua Hu

Pages: 12718 - 12730

86) A Broad Generative Network for Two-Stage Image Outpainting

Author(s): Zongyan Zhang, Haohan Weng, Tong Zhang, C. L. Philip Chen

Pages: 12731 - 12745

87) Higher Order Polynomial Transformer for Fine-Grained Freezing of Gait Detection

Author(s): Renfei Sun, Kun Hu, Kaylena A. Ehgoetz Martens, Markus Hagenbuchner, Ah Chung Tsoi, Mohammed Bennamoun, Simon J. G. Lewis, Zhiyong Wang

Pages: 12746 - 12759

88) Reducing Urban Traffic Congestion Using Deep Learning and Model Predictive Control

Author(s): Zhun Yin, Tong Liu, Chieh Wang, Hong Wang, Zhong-Ping Jiang

Pages: 12760 - 12771

89) BViT: Broad Attention-Based Vision Transformer

Author(s): Nannan Li, Yaran Chen, Weifan Li, Zixiang Ding, Dongbin Zhao, Shuai Nie

Pages: 12772 - 12783

90) Joint Entity and Relation Extraction With Set Prediction Networks

Author(s): Dianbo Sui, Xiangrong Zeng, Yubo Chen, Kang Liu, Jun Zhao

Pages: 12784 - 12795

91) Clustered Federated Learning in Heterogeneous Environment

Author(s): Yihan Yan, Xiaojun Tong, Shen Wang

Pages: 12796 - 12809

92) Interactive Feature Embedding for Infrared and Visible Image Fusion

Author(s): Fan Zhao, Wenda Zhao, Huchuan Lu

Pages: 12810 - 12822

93) Template-Based Contrastive Distillation Pretraining for Math Word Problem Solving

Author(s): Jinghui Qin, Zhicheng Yang, Jiaqi Chen, Xiaodan Liang, Liang Lin

Pages: 12823 - 12835

94) Neural Adaptive Intermittent Output Feedback Control for Autonomous Underwater Vehicles With Full-State Quantitative Designs

Author(s): Yi Shi, Wei Xie, Weixing Chen, Lantao Xing, Weidong Zhang

Pages: 12836 - 12848

95) Effective Value Analysis of Fuzzy Similarity Relation in HQSS for Efficient Granulation

Author(s): Qinghua Zhang, Fan Zhao, Yunlong Cheng, Man Gao, Guoyin Wang, Shuyin Xia, Weiping Ding

Pages: 12849 - 12863

96) Cyclical Curriculum Learning

Author(s): H. Toprak Kesgin, M. Fatih Amasyali

Pages: 12864 - 12872

97) Multiagent Trust Region Policy Optimization

Author(s): Hepeng Li, Haibo He

Pages: 12873 - 12887

98) AutoGMap: Learning to Map Large-Scale Sparse Graphs on Memristive Crossbars

Author(s): Bo Lyu, Shengbo Wang, Shiping Wen, Kaibo Shi, Yin Yang, Lingfang Zeng, Tingwen Huang

Pages: 12888 - 12898

99) Demystifying and Mitigating Bias for Node Representation Learning

Author(s): O. Deniz Kose, Yanning Shen

Pages: 12899 - 12912

100) An Energy-Efficient Bayesian Neural Network Implementation Using Stochastic Computing Method

Author(s): Xiaotao Jia, Huiyi Gu, Yuhao Liu, Jianlei Yang, Xueyan Wang, Weitao Pan, Youguang Zhang, Sorin Cotofana, Weisheng Zhao

Pages: 12913 - 12923

101) Spectral-Spatial Global Graph Reasoning for Hyperspectral Image Classification

Author(s): Di Wang, Bo Du, Liangpei Zhang

Pages: 12924 - 12937

102) A Generic Self-Supervised Framework of Learning Invariant Discriminative Features

Author(s): Foivos Ntelemis, Yaochu Jin, Spencer A. Thomas

Pages: 12938 - 12952

103) Convolutional Neural Network-Based Lane-Change Strategy via Motion Image Representation for Automated and Connected Vehicles

Author(s): Shuo Cheng, Zheng Wang, Bo Yang, Kimihiko Nakano

Pages: 12953 - 12964

104) Deep Multiview Adaptive Clustering With Semantic Invariance

Author(s): Jing Gao, Meng Liu, Peng Li, Jianing Zhang, Zhikui Chen

Pages: 12965 - 12978

105) Brain Emotion Perception Inspired EEG Emotion Recognition With Deep Reinforcement Learning

Author(s): Dongdong Li, Li Xie, Zhe Wang, Hai Yang

Pages: 12979 - 12992

106) Fully Distributed Event-Triggered Anti-Windup Consensus of Heterogeneous Systems With Input Saturation and an Active Leader

Author(s): Chenhang Yan, Liping Yan, Yuezu Lv, Yuanqing Xia

Pages: 12993 - 13004

107) Dynamic Neural Network Predictive Compensation-Based Point-to-Point Iterative Learning Control With Nonuniform Batch Length

Author(s): Rui Hou, Li Jia, Xuhui Bu, Chengyu Zhou

Pages: 13005 - 13016

108) Unsupervised Deep Tensor Network for Hyperspectral–Multispectral Image Fusion

Author(s): Jingxiang Yang, Liang Xiao, Yong-Qiang Zhao, Jonathan Cheung-Wai Chan

Pages: 13017 - 13031

109) Weakly Supervised Temporal Action Localization With Bidirectional Semantic Consistency Constraint

Author(s): Guozhang Li, De Cheng, Xinpeng Ding, Nannan Wang, Jie Li, Xinbo Gao

Pages: 13032 - 13045

110) Fast Yet Effective Machine Unlearning

Author(s): Ayush K. Tarun, Vikram S. Chundawat, Murari Mandal, Mohan Kankanhalli

Pages: 13046 - 13055

111) Multidimensional Pruning and Its Extension: A Unified Framework for Model Compression

Author(s): Jinyang Guo, Dong Xu, Wanli Ouyang

Pages: 13056 - 13070

112) Fast Multiview Clustering by Optimal Graph Mining

Author(s): Jitao Lu, Feiping Nie, Rong Wang, Xuelong Li

Pages: 13071 - 13077