IEEE Transactions on Neural Networks and Learning Systems, Volume 37, Issue 5, May 2026

1) Deep Model Fusion: A Survey

Author(s): W. Li, Y. Peng, M. Zhang, L. Ding, H. Hu, L. Shen

Pages: 2008 - 2024

2) Survey on Efficient Large Language Models: Principles, Algorithms, Applications, and Open Issues

Author(s): J. Cheng, H. Kang, Y. Shao, N. Li, P. Chen, R. Wang, S. Long, X. Yang, L. Ma

Pages: 2025 - 2045

3) A Systematic Review of Skeleton-Based Action Recognition: Methods, Challenges, and Future Directions

Author(s): Y. Liu, R. Liu, Y. Hu, M. Wu, W. Xin, Q. Miao, S. Wu, L. Li

Pages: 2046 - 2065

4) Knowledge Graph Reasoning Based on Information Enhancement and Subgraph Alignment

Author(s): M. Li, K. Liang, Y. Lai, X. Liu

Pages: 2066 - 2078

5) Alzheimer’s Disease Risk Prediction and Pathogeny Extraction Using Fuzzy Graph Evolutionary Generative Adversarial Network

Author(s): X. -A. Bi, D. Chen, J. Wang, W. Chen, L. Xu, Y. Huang, B. Lei, X. Yi

Pages: 2079 - 2093

6) Bamboo: A Novel Session-Aware Framework With Equiangular Tight Frame Prototypes for Few-Shot Class-Incremental Learning

Author(s): X. Lu, Z. Wang, Z. Fu, X. Xu, Q. Zhang, T. Xiao, W. Du

Pages: 2094 - 2106

7) Fuzzy Logic-Enhanced Neuroadaptive Fault-Tolerant Control for Vehicular Platoons With Stochastic Disturbances and Asymmetric Spacing Constraints

Author(s): Y. Wen, X. Chen, X. Xu, A. Zhang, Y. Li

Pages: 2107 - 2120

8) DCTC-Net: Dual-Branch Cross-Fusion Transformer–CNN Architecture for Medical Image Segmentation

Author(s): R. Sun

Pages: 2121 - 2135

9) Learning Robust Discriminant Projections via Double Capped Lp-Norm Distance Metrics With “Min” Constraints

Author(s): J. Yang, X. Chen, Z. Zhang, L. Fu, Q. Ye

Pages: 2136 - 2150

10) HET: An Efficient High-Frequency Enhancement Transformer for Specific Emitter Identification

Author(s): L. Zhai, Z. Chang, S. Yang, Z. Feng, S. Mu

Pages: 2151 - 2165

11) Prediction of IDH and 1p/19q Status in Gliomas Based on Dual Structural Feature Exploration and Alignment Network

Author(s): W. Xiong, J. Cao, T. An, S. Liu, Z. Luo, W. Wang, T. Xie, Q. Feng, M. Huang

Pages: 2166 - 2180

12) Reservoir Kernels and Volterra Series

Author(s): L. Gonon, L. Grigoryeva, J. -P. Ortega

Pages: 2181 - 2192

13) Spectral-Guided Multiscale Feature-Aware Transformer for Hyperspectral Image Classification

Author(s): Z. Shu, K. Zeng, Y. Wang, S. Tang, Z. Yu, L. Xiao

Pages: 2193 - 2207

14) Sparse Bayesian Broad Learning System via Adaptive Lasso Priors for Robust Regression

Author(s): T. Chen, L. Wang, C. L. Philip Chen

Pages: 2208 - 2222

15) D2Vformer: A Flexible Time-Series Prediction Model Based on Time-Position Embedding

Author(s): X. Song, H. Wang, L. Deng, D. Wang, H. Qiu, Y. He, W. Cao, C. -S. Leung

Pages: 2223 - 2234

16) A Multilayer Spatiotemporal Correlation-Aware Graph Attention Network for Traffic Flow Prediction

Author(s): J. Liu, Y. Wang, J. Zhu, W. Bai, H. Zhang, L. Zuo, T. Zhou, K. Li

Pages: 2235 - 2249

17) Toward Better De-Raining Generalization via Rainy Characteristics Memorization and Replay

Author(s): K. Wang, X. Fu, C. Cao, C. Ge, W. Zhai, Z. -J. Zha

Pages: 2250 - 2264

18) Spatiotemporal Dynamics Modeling of Brain Activity for Human–Robot Cognitive Interaction: A Distributed-Lumped Parameter System Framework

Author(s): J. Zhang, L. Zhang, F. Mu, Z. Huang, C. Zou, R. Huang, C. Wang, H. Cheng

Pages: 2265 - 2279

19) Butterfly Residual Network: A Hybrid Approach With Spectral Transformers and Depth-Wise Convolutions for Hyperspectral Image Super-Resolution

Author(s): Y. Yang, Y. Wang, X. Xu, E. Zhao

Pages: 2280 - 2293

20) Genetic Algorithm-Based Two-Step Optimization for Precise Latent Factor Analysis

Author(s): C. Lyu, J. Cheng, X. Luo, Y. Shi

Pages: 2294 - 2306

21) Context-Aware Learning and Pattern Decomposition for Temporal Knowledge Graph Reasoning

Author(s): L. Liao, L. Zheng, J. Shang, X. Li, J. Zhong, K. Wei, Y. Tang

Pages: 2307 - 2320

22) Leader-Based Multiexpert Neural Network for High-Level Visual Tasks

Author(s): F. Zuo, J. Liu, Z. Chen, X. Shen, L. Wang, Z. Wen

Pages: 2321 - 2334

23) Graph Probabilistic Pooling: From Bernoulli to Poisson Distribution

Author(s): G. Liu, Y. Lei, M. Sun, T. Zhang, X. Wang, C. Zhou, C. Long, Z. Cui

Pages: 2335 - 2346

24) Robust Physics-Based Deep MRI Reconstruction via Diffusion Purification

Author(s): I. R. Alkhouri, S. Liang, R. Wang, Q. Qu, S. Ravishankar

Pages: 2347 - 2361

25) Multirate Industrial Process Forecasting With Hybrid Deep Learning and Adaptive Filtering

Author(s): X. Han, W. Yu, Y. Jia, T. Chai

Pages: 2362 - 2376

26) Accurate Protein–Protein Interaction Prediction: Based on Multiview Heterogeneous Graph Autoencoders and Random Masking

Author(s): S. Chen, Z. Tang, L. You, C. Yu-Chian Chen

Pages: 2377 - 2390

27) Universal Set of Observables for Forecasting Physical Systems Through Causal Embedding

Author(s): G. Manjunath, A. de Clercq, M. J. Steynberg

Pages: 2391 - 2399

28) Predicting What Matters: Training AI Models for Better Decisions

Author(s): A. S. Anand, S. Sawant, D. Peter Reinhardt, S. Gros

Pages: 2400 - 2413

29) General Network Learning Rules Based on DNA Strand Displacement for Thyroid Disease Prediction

Author(s): J. Sun, J. Li, Y. Wang, Y. Wang

Pages: 2414 - 2427

30) Optimal-Flip-Based Segmented Reinforcement Learning for Detectability Synthesis of Probabilistic Boolean Networks

Author(s): Z. Zhang, C. Bian, C. Xia, Z. Chen

Pages: 2428 - 2440

31) Spatiotemporal Topology-Informed Multiagent Reinforcement Learning Framework for Structured Multiprocess Collaborative Optimization

Author(s): D. Liu, Y. Wang, C. Liu, B. Luo, B. Huang

Pages: 2441 - 2455

32) A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning

Author(s): S. Guo, Y. Sun, J. Hu, S. Huang, H. Chen, H. Piao, L. Sun, Y. Chang

Pages: 2456 - 2468

33) Contrastive Learning-Driven Fake News Detection: Preserving Semantics, Unveiling Distortions

Author(s): Y. Yan, P. Zheng, Y. Wang

Pages: 2469 - 2481

34) Reinforcement Active Modeling for Flexible Needle Shape Prediction in Multilayer Tissues

Author(s): F. Ren, X. Wang, Y. Fang, N. Yu, J. Han

Pages: 2482 - 2496

35) Adaptive Optimal Prescribed Performance Tracking Solutions for Multiplayer Systems With Error Constraints

Author(s): Y. Lv, H. Chang, J. Zhao, Y. Tian

Pages: 2497 - 2503

36) Corrections to “Learning From M-Tuple One-vs-All Confidence Comparison Data”

Author(s): J. Qin, J. Li, C. Hua, Y. Yang

Pages: 2504 - 2504

Tuesday, May 5, 2026

IEEE Transactions on Fuzzy Systems, Volume 34, Issue 5, May 2026

1) Advanced Temporal Fuzzy Utility Pattern Analysis for Dynamic Uncertain Data Streams

Author(s): D. Kim, S. Park, J. Park, H. Kim, M. Cho, U. Yun

Pages: 1385 - 1400

2) Fuzzy Ensemble Clustering Method via Learning Enhanced Fuzzy Connective Matrices

Author(s): Z. Bian, Q. Dai, J. Qu, T. Zhang, Z. Jiang, J. Zhou, Z. Deng, S. Wang

Pages: 1401 - 1415

3) A Distributed Cooperation-Competition Learning Algorithm With Neuro-Fuzzy Networks for Latency Communication Networks

Author(s): Y. Wei, J. Xie, J. Li, W. Gao, H. Li

Pages: 1416 - 1429

4) General Diffusion Transformer for Arbitrary Medical Image Translation

Author(s): J. Zheng, X. Wang, Y. Luo, Y. Wang, Y. Tang, D. Wu

Pages: 1430 - 1444

5) Fuzzy Neural Dynamics for Kinematic Learning and Simultaneous Control of Redundant Robots

Author(s): L. Wen, J. Lv, Y. Guan, L. Jin

Pages: 1445 - 1458

6) T–S Fuzzy Dual-Residual-Driven Attack Detection and Resilient Control for Discrete-Time Nonlinear Cyber-Physical Systems

Author(s): Y. Wang, Q. Li, L. Li, Q. Yu, M. Zhong, S. X. Ding

Pages: 1459 - 1472

7) Time-Sequential-Synchronized Control for Euler–Lagrange Systems via Fuzzy Approximation

Author(s): B. Pan, Q. Hu, D. Li

Pages: 1473 - 1486

8) Multiview Transfer Fuzzy Classification With Soft-Variable Embedded and Discriminative Structure Preservation on Motor Imagery Electroencephalogram

Author(s): J. Yao, P. Qian, X. Gu, J. Sun, L. Wang, G. Yang, S. Wang

Pages: 1487 - 1500

9) Adaptive Fuzzy Control for Nonlinear Multiagent Systems Subject to Multiple Constraints Under Deception Attacks

Author(s): D. Li, B. Lv, S. Li, H. Wang, L. Liu

Pages: 1501 - 1511

10) Predictor-Based Fuzzy Tracking Control for Nonlinear Systems: A Reference-Independent Output Constrained Approach

Author(s): X. Yue, H. Zhang, J. Liu, Y. Pan

Pages: 1512 - 1522

11) Adaptive Granular-Ball Concept-Cognitive Learning for Efficient and Robust Fuzzy Knowledge Representation in Classification Tasks

Author(s): D. Guo, W. Xu, S. Xia, W. Ding, Y. Qian, K. Yuan

Pages: 1523 - 1535

12) Types I & II Partition-Based Fuzzy Classifiers for Enhanced Interpretability, Smaller Output Variance and Denoising Capability

Author(s): M. Long, F. -L. Chung, S. Wang

Pages: 1536 - 1550

13) Three-Level Noise-Tolerance Granular-Ball Distinguishing Measures and Feature Subset Selection

Author(s): Z. Huang, Y. Chen, J. Li

Pages: 1551 - 1564

14) Fuzzy Transfer Entropy Guided Gaussian Mixture Particle Filter for Multi-Passive-Sensor Target Tracking

Author(s): H. Zhang

Pages: 1565 - 1576

15) Intention-Triggered Fuzzy Fixed-Time Control of Stochastic Euler–Lagrange Systems: Prosthesis-Human Cooperative Ambulation Method

Author(s): X. Ma

Pages: 1577 - 1586

16) Distributed Fuzzy Voltage Security Restoration of Multisource Heterogeneous Microgrid Clusters With Performance Monitoring and Nodes Isolation

Author(s): F. Cheng, J. Lai, Z. Zeng

Pages: 1587 - 1599

17) Adaptive Low-Light Image Enhancement Using Bipolar Fuzzy Set

Author(s): M. K. C. V, D. Nithyanandham, D. R. M, F. Augustin, S. Ramasamy, S. D, Y. Zhang

Pages: 1600 - 1614

18) Hybrid Offline–Online Learning of Fuzzy Cognitive Maps for Forecasting Nonstationary Streaming Time Series

Author(s): X. Liu, Y. Zhang, H. Wang, W. Wan, J. Liu, B. -g. Cai

Pages: 1615 - 1629

19) Fuzzy Reinforcement Learning-Based Secure Capture and Formation Control for Multiagent Pursuit-Evasion Game

Author(s): H. Wang, Q. Liu, J. H. Park

Pages: 1630 - 1643

20) Fuzzy Rule-Guided Multiview Differentiable Representation Learning With Dual-Space Information Extraction

Author(s): W. Zhang, J. Zhou, G. Wang, Z. Deng, W. Ding, W. Pedrycz

Pages: 1644 - 1658

21) Intrusion Detection in Industrial Internet of Things Based on Granular-Ball Intuitionistic Fuzzy Sets

Author(s): D. Chen, J. Xie, H. Wang

Pages: 1659 - 1672

22) Fuzzy Advantage Granular Ball Rough Set for Feature Selection via Deep Reinforcement Learning

Author(s): H. Liang, Y. Cao, Y. An, W. Ding, X. Zhao

Pages: 1673 - 1686

23) Neighborhood-Aware Fuzzy Graph Convolutional Networks for Improved Information Fusion

Author(s): B. Yu, C. Zhou, X. Tan, Z. Xu, W. Ding

Pages: 1687 - 1698

24) FARCI+: Enhancing Fuzzy Rule-Based Classification for Imbalanced Problems via Choquet Integral Generalizations and Support Tuning

Author(s): J. Antonio Sanz, M. Sesma-Sara

Pages: 1699 - 1710

25) Multihop Knowledge Chain Query on Fine-Grained Fuzzy Spatiotemporal Knowledge Graph by Embedding

Author(s): H. Ji, L. Yan, Z. Ma

Pages: 1711 - 1720

26) Dynamic Event-Based Fuzzy Quantized Fault-Tolerant Control for Cascaded ODE-Belt Systems With Actuator Failures and Quantization

Author(s): Y. Zheng, X. Yao, Y. Liu

Pages: 1721 - 1730

Friday, May 1, 2026

Weekly Review 1 May 2026

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

1. AI generated music is becoming more common, and harder to detect by listeners: https://arstechnica.com/ai/2026/04/deezer-says-44-of-new-music-uploads-are-ai-generated-most-streams-are-fraudulent/
2. Michael Dell is funding research towards an AI-led hospital system: https://www.stuff.co.nz/business/360969141/michael-and-susan-dell-fund-ainative-medical-center-750
3. Out of date UK government web pages have been ingested by AI, which are now giving people inaccurate advice: https://www.theregister.com/2026/04/23/stale_govuk_pages_are_feeding/
4. Mythos AI is such a security threat that it won't be released to the public. So who is going to be using it? https://www.theguardian.com/technology/2026/apr/22/what-is-anthropic-mythos-ai-threat-global-cybersecurity
5. Google's structural AI advantage: https://www.theregister.com/2026/04/23/google_cloud_next_interview_ai_stack/
6. I can't stand micromanaging humans, I certainly wouldn't put up with a micromanaging AI: https://futurism.com/artificial-intelligence/nvidia-ceo-ai-micromanaging-boss
7. The storage crunch caused by AI is being exacerbated by disruptions to fuel supplies: https://www.theregister.com/2026/04/23/everpure_letter_covid/
8. More AI security tools, to fight AI security threats. At this point it's all just AI vs AI: https://www.theregister.com/2026/04/22/google_unleashes_even_more_ai/
9. Being able to judge what an AI tells you is the most important part of being AI-ready: https://www.computerworld.com/article/4149417/ai-ready-skills-are-not-what-you-think.html
10. Some AI will make psychosis worse in their users: https://futurism.com/artificial-intelligence/certain-chatbots-worse-ai-psychosis-study
11. I don't want any company monitoring my screen, let alone an AI company: https://www.theregister.com/2026/04/22/openai_chronicle_no_privacy_screenshot/
12. Another AI assisted system break-in: https://www.theregister.com/2026/04/21/vercel_ceo_points_to_aidriven/
13. After medical advice, legal advice is the worst use-case for AI: https://www.rnz.co.nz/news/business/592911/ai-tells-tenant-she-should-ask-for-40-000-tribunal-hands-her-80
14. More tech job cuts justified with AI: https://www.rnz.co.nz/news/world/593297/meta-to-cut-10-percent-of-staff-as-it-pours-billions-into-ai
15. If an AI helps someone to commit a crime, is the AI liable? https: https://www.stuff.co.nz/world-news/360968207/floridas-attorney-general-launches-criminal-probe-chatgpt-over-shooting
16. So Meta's employees won't even know that they're training their AI replacements, just by doing their work: https://www.computerworld.com/article/4161929/meta-to-track-employee-keystrokes-screen-activity-to-train-ai-agents.html
17. No, AI data centres in space are NOT a good idea: https://futurism.com/space/spacex-admits-ai-data-centers-terrible-idea
18. DO NOT use AI to develop a cancer treatment plan: https://futurism.com/artificial-intelligence/ai-chatbots-cancer-alternative-cures
19. Supply chain problems are going to continue to cause problems for developing AI data centres: https://futurism.com/artificial-intelligence/trump-data-center-fermi
20. Most AI generated bug reports continue to be rubbish: https://dataconomy.com/2026/04/22/ai-flood-drives-surge-in-bogus-crypto-bug-bounty-reports/
21. Latest ranking of AI companies shows that those with the best data lead: https://www.hpcwire.com/bigdatawire/2026/04/21/forbes-ai-50-list-shows-data-emerging-as-the-core-of-ai-value/
22. Don't add AI work to IT, it causes big blindspots: https://www.informationweek.com/machine-learning-ai/the-invisible-labor-crisis-inside-it-ai-work-the-org-chart-can-t-see
23. Some unusual ideas for ways to use AI: https://www.kdnuggets.com/7-specific-unconventional-things-to-do-with-language-models
24. Now AI can design improved thermoelectric generators: https://spectrum.ieee.org/ai-designed-thermoelectric-generator
25. AI controlled robots can now beat top table tennis players: https://www.theguardian.com/science/2026/apr/22/ai-powered-robot-beats-elite-table-tennis-players-milestone-robotics
26. I don't think an American AI company should be providing services to a British polic force. Especially not Palantir: https://www.theguardian.com/uk-news/2026/apr/22/met-police-talks-palantir-ai-tech-criminal-investigations-automate-intelligence
27. An Indian med student used AI to grift thousands out of MAGA using an AI-generated girl: https://arstechnica.com/tech-policy/2026/04/indian-med-student-rakes-in-thousands-with-ai-generated-maga-hottie/

IEEE Transactions on Artificial Intelligence, Volume 7, Issue 5, May 2026

1) Foundation Model for Medical Imaging: A Comprehensive Review

Author(s): L. Jiao, J. Yang, R. Li, F. Liu, X. Liu, P. Chen, Y. Guo, L. Li, R. Shang, W. Ma

Pages: 2426 - 2446

2) A Systematic Literature Review on SWOT Analysis of Prompt Engineering Techniques

Author(s): A. Singh, N. K. Chatta, A. Ehtesham, S. Kumar, G. K. Gupta, T. T. Khoei

Pages: 2447 - 2461

3) Modeling Quantum Machine Learning for Genomic Data Analysis

Author(s): N. Singh, S. R. Pokhrel

Pages: 2462 - 2477

4) A Comprehensive Review of Transformer-Based Language Models for Protein Sequence Analysis and Design

Author(s): N. Ghosh, D. Santoni, D. Nawn, E. Ottaviani, G. Felici

Pages: 2478 - 2495

5) Enable Quantum Graph Neural Networks on a Single Qubit With Quantum Walk

Author(s): Y. Zhu, R. Jiang, Q. Ni, A. Bouridane

Pages: 2496 - 2505

6) Exploring Energy Landscapes for Minimal Counterfactual Explanations: Applications in Cybersecurity and Beyond

Author(s): S. Evangelatos, E. Veroni, V. Efthymiou, C. Nikolopoulos, G. T. Papadopoulos, P. Sarigiannidis

Pages: 2506 - 2522

7) Single Target Tracking With Contextual Prompts in Scene Understanding

Author(s): X. Liu, H. Zhou, J. Dong, J. Xiao, X. Dong

Pages: 2523 - 2534

8) AdU-Net: Adaptive Dilated U-Net for Glacial Lake Region Detection and Outburst Risk Assessment Using Satellite Imagery

Author(s): J. Thati, A. J. Prakash, S. Ari

Pages: 2535 - 2548

9) Why is Data Misclassified? Quantifying Data Difficulty for Machine Learning Models With Dual Probability Difficulty Measure

Author(s): A. Afolabi, R. Aygun, T. X. Tran

Pages: 2549 - 2559

10) Engineering Trustworthy AI: A Developer Guide for Empirical Risk Minimization

Author(s): D. Pfau, A. Jung

Pages: 2560 - 2576

11) WinDrift++: A Diversified Detector for Concept Drift

Author(s): N. Naqvi, S. u. Rehman, M. Z. Islam

Pages: 2577 - 2593

12) Comparative Analysis of Large Language Models for Automated Question Generation From Video-Based Learning Content

Author(s): Y. -B. Kang, A. R. M. Forkan, A. Banerjee, P. P. Jayaraman, A. McCosker, S. Kim, N. Wieland, L. Kollias

Pages: 2594 - 2609

13) Asynchronous Federated Learning With Nonconvex Client Objective Functions and Heterogeneous Dataset

Author(s): A. Forootani, R. Iervolino

Pages: 2610 - 2624

14) Latent Diffusion and Spatiotemporal Transformers Generate Large Ensemble Climate Simulations

Author(s): J. Meuer, M. Witte, T. S. Finn, C. Timmreck, T. Ludwig, C. Kadow

Pages: 2625 - 2637

15) Augmenting Generative Models With Biomedical Knowledge Graphs Improves Targeted Drug Discovery

Author(s): A. Malusare, V. Punyamoorty, V. Aggarwal

Pages: 2638 - 2647

16) Optimizing Basis Function Selection in Constructive Wavelet Neural Networks and Its Applications

Author(s): D. Huang, D. Shen, L. Lu, Y. Tan

Pages: 2648 - 2663

17) Fixed-Time Neutrosophic Adaptive Control of Mecanum-Wheeled Vehicles Under Input Saturation Based on Zeroing Neural Dynamics

Author(s): W. Huang, L. Xiao, Q. Zuo, L. Li

Pages: 2664 - 2677

18) Anomalous Electrical Power Consumption Detection in Household Appliances via Micro-Moment Classification

Author(s): R. Nayak, C. D. Jaidhar

Pages: 2678 - 2692

19) Federated Learning of Dynamic Bayesian Network via Continuous Optimization From Time Series Data

Author(s): J. Chen, Y. Ma, X. Yue

Pages: 2693 - 2709

20) QRVS: Quick and Robust Video Stitcher With Novel Single Shot Homography for Simultaneous Object Detection and Tracking

Author(s): R. R. Chandrapu, P. Das, C. Pal, V. Prakash, R. S. R. Sudhamsu, S. Chakraborty, B. Das, A. Acharyya

Pages: 2710 - 2725

21) Co-AttenDWG: Coattentive Dimension-Wise Gating and Expert Fusion for Multimodal Offensive Content Detection

Author(s): M. M. Hossain, M. S. Hossain, S. Chaki, M. F. Mridha

Pages: 2726 - 2738

22) IDALC: A Semisupervised Framework for Intent Detection and Active Learning Based Correction

Author(s): A. Mullick, S. Purkayastha, S. Sharma, P. Goyal, N. Ganguly

Pages: 2739 - 2750

23) FA-MADT: Enhancing Offline Multiagent Reinforcement Learning With Factorized Attention and Decision Transformers

Author(s): Y. Boutyour, A. Idrissi

Pages: 2751 - 2760

24) Toward a Unified Framework for Consistency Generative Modeling

Author(s): H. Dou, J. Lu, J. Du, C. Fu, W. Yao, H. Li, Y. Deng

Pages: 2761 - 2773

25) Improving Transferability in Image Classification through Refinement of Discriminative Features

Author(s): H. Kim, S. Yoo, B. G. Kang, S. Lee, J. Lee, S. Yoon

Pages: 2774 - 2787

26) Self-Verification in Discrete-Time Adaptive Control Based on Physics-Informed Model and Neural-Lyapunov Network

Author(s): C. Treesatayapun

Pages: 2788 - 2797

27) Interpreting Cell-Based NAS With Incorporating Gradient Prior Architecture Representation

Author(s): Z. Liu, Y. Liu, K. Zhu, Z. Yu

Pages: 2798 - 2810

28) GraphTeacher: Transductive Fine-Tuning of Encoders Through Graph Neural Networks

Author(s): E. Koç, A. C. Aras, T. Alikaşifoğlu, A. Koç

Pages: 2811 - 2825

29) MaxDiv: Zero-Shot Machine Unlearning via Distributionally Divergent Erasing Samples

Author(s): S. Shokrolahi, I. -M. Kim

Pages: 2826 - 2840

30) DARKAN: Daily Activity Recognition Using Optimized Wavelet-Based Kolmogorov-Arnold Networks

Author(s): J. Li, M. Xu, W. Tu, Y. Zeng, Z. Huang, M. Valkama, C. Song

Pages: 2841 - 2857

31) ELSA: Equivariant Self-Supervised Adaptation for Small Data Learning

Author(s): L. Kong, D. Chen, C. Tang, D. Xiong, J. Lv

Pages: 2858 - 2869

32) An Ensemble Link Prediction Model for Sparse Knowledge Graphs With Drifting Entity

Author(s): X. Zheng, P. -p. Li, P. Zhou, X. Wu

Pages: 2870 - 2881

33) Source Camera Model Identification via Federated Learning Using Laplacian-Based Patches

Author(s): R. Chakraborty, P. Goyal

Pages: 2882 - 2891

34) FUBA: Backdoor Federated Learning via Federated Unlearning

Author(s): X. Sheng, W. Bao, Y. Guo, S. Fu

Pages: 2892 - 2907

35) MGLAN: A Mamba-Like Gated Linear Attention With Normalization for Solving CTSP

Author(s): C. Wen, X. Xu, X. Shi, J. Cao, L. Hua

Pages: 2908 - 2919

36) ArMA: Mitigating Catastrophic Forgetting using Attention-Regularized Model Averaging in Continual Fine-tuning Large Language Models

Author(s): X. Qiu, L. Cheng, T. Hao, X. Tan

Pages: 2920 - 2930

37) ABAE-RTN: A Deep Learning Framework for Robust Physical Layer Security in Radio Transformer Networks

Author(s): N. Sagar, A. Kamble, M. K. Shukla, A. Anjali, O. J. Pandey

Pages: 2931 - 2940

38) Multimodal Human Pose Estimation: A Wi-Fi-Driven Approach With Adaptive Kernel Selection

Author(s): T. D. Gian, D. T. Tran, Q. -V. Pham, L. -N. Tran, V. -D. Nguyen

Pages: 2941 - 2955

39) Graph Attention Networks With Dual-Edge Connectivity for Alzheimer’s Disease Detection From Speech

Author(s): A. El Hallani, A. Chakhtouna, A. Adib

Pages: 2956 - 2966

40) Integrating GAN and Dynamic Identity Convolution for Enhanced Radar Image Reconstruction From Geostationary Satellite Observations

Author(s): J. Si, H. Chen, L. Han

Pages: 2967 - 2979

41) WeatherRemover: All-in-One Adverse Weather Removal With Multiscale Feature Map Compression

Author(s): W. Qu, S. Liang, C. Pan, Z. Yang, G. Zhou, X. Fu, B. Liu, C. Wang, A. Elazab

Pages: 2980 - 2994

42) IGDNet: Zero-Shot Robust Underexposed Image Enhancement via Illumination-Guided and Denoising

Author(s): H. Yan, J. Huang, T. Huang

Pages: 2995 - 3005

43) An Optimized Neural Network for Efficient Resource Utilization and Enhanced Accuracy in Magnetic Field Prediction

Author(s): X. Yang, Z. Wang, L. Wang, R. Zhang, G. Xu, Q. Yang

Pages: 3006 - 3017

44) Inter and Intra-snippet Multi-head Attention With Position Offset for Action Localization and Recognition

Author(s): H. Singh, K. Choudhury, B. N. Subudhi, V. Jakhetiya, T. Veerakumar

Pages: 3018 - 3030

Friday, April 24, 2026

Weekly Review 24 April 2026

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

1. People who use AI more have less confidence in their own intellectual abilities: https://futurism.com/health-medicine/ai-cognition-study
2. The pain AI is causing educators-mostly caused by students using it to cheat: https://arstechnica.com/science/2026/04/to-teach-in-the-time-of-chatgpt-is-to-know-pain/
3. AI on the edge of the cloud continues to be a growth area: https://www.techtarget.com/searchitoperations/news/366641741/Edge-and-physical-AI-poised-to-upend-enterprise-networks
4. AI can lead to an increase in productivity, if employees are allowed to choose how they use it: https://www.computerworld.com/article/4159817/ai-is-finally-delivering-productivity-for-remote-employees.html
5. Using AI to migrate away from mainframes is causing a lot of disappointment: https://www.theregister.com/2026/04/15/gartner_mainframe_exit_analysis/
6. People are so fed-up with AI data centres that they are voting-out councils that approve them: https://futurism.com/artificial-intelligence/ctiy-council-data-center
7. AI funding seems to be a great big circle that is going to fall apart when the flow of money stops: https://www.informationweek.com/machine-learning-ai/will-the-music-stop-for-ai-s-funding-dance-
8. Companies have spent so much on AI that employees are being forced to use them, even though it makes them less productive: https://www.theguardian.com/technology/2026/apr/14/ai-productivity-workplace-errors
9. AI is getting better at science, for some fields: https://www.hpcwire.com/bigdatawire/2026/04/17/what-stanfords-hai-report-says-about-ai-in-science/
10. US hospitals are rolling out more AI chatbots, but many concerns remain: https://arstechnica.com/health/2026/04/americans-ask-ai-for-health-care-hospitals-think-the-answer-is-more-chatbots/
11. An enormous backlash against AI is brewing: https://futurism.com/artificial-intelligence/signs-massive-ai-backlash
12. Teens are deeply skeptical of AI chatbots but can't stop using them: https://futurism.com/artificial-intelligence/teens-ai-chatbot-characterai
13. The state of AI in twelve plots: https://spectrum.ieee.org/state-of-ai-index-2026
14. VR has failed over and over again. Will AI go the same way? https: https://www.theregister.com/2026/04/15/hardware_metaverse_will_happen/
15. Using an AI to train another AI can cause hidden biases to be propagated between models: https://www.theregister.com/2026/04/15/llms_inherit_bad_traits/
16. How useful is AI journalling? https: https://www.theguardian.com/technology/2026/apr/12/experiment-with-ai-journalling
17. Seriously, do not use an AI to diagnose any medical issues you might have: https://www.theregister.com/2026/04/15/ai_gets_early_medical_diagnosis/
18. More tech layoffs justified by AI: https://www.theguardian.com/technology/2026/apr/15/snap-inc-blames-ai-worker-layoffs
19. AI agents are a significant security risk: https://www.kdnuggets.com/are-ai-agents-your-next-security-nightmare
20. The economic turmoil caused by Trump's war with Iran could accelerate job displacements by AI: https://www.theguardian.com/commentisfree/2026/apr/16/ai-destroying-jobs-energy-crisis-worse-doomsday-scenario
21. Seven things you need to do to successfully roll-out a large language model AI: https://www.kdnuggets.com/7-steps-to-mastering-language-model-deployment
22. AI providers have been scaling up their computing capacity without increasing their network bandwidth: https://www.theregister.com/2026/04/15/networks_not_ready_for_ai_challenges/
23. AI are terrible at sports betting, which implies they struggle to build models of real-world activities over time: https://arstechnica.com/ai/2026/04/ai-models-are-terrible-at-betting-on-soccer-especially-xai-grok/
24. Is it ethical to use AI to deceive people that a deceased loved-one is still alive? https: https://futurism.com/artificial-intelligence/mother-son-died-ai-clone

Friday, April 17, 2026

Weekly Review 17 April 2026

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

1. You can't trust an AI shopping agent to not screw things up: https://futurism.com/artificial-intelligence/target-ai-agent-tos
2. Concepts you need to understand to use LLM AI effectively: https://www.kdnuggets.com/10-llm-engineering-concepts-explained-in-10-minutes
3. Using AI means designers can evaluate designs orders of magnitude faster than before: https://spectrum.ieee.org/large-physics-models-design-engineering
4. I understand that doing a literature review is time-consuming and dull, but using AI to do it for you just means you end up with hallucinated references: https://www.nature.com/articles/d41586-026-00969-z
5. China regulates to prevent harm caused by AI: https://futurism.com/artificial-intelligence/china-usa-ai-regulations
6. Instead of building more and larger data centres to train AI, distribute the training instead: https://spectrum.ieee.org/decentralized-ai-training-2676670858
7. Adapting your hiring processes to include AI: https://dataconomy.com/2026/04/06/enhancing-recruitment-processes-with-ai-strategies-for-modern-hiring-teams/
8. Using AI to model and manage water flow in the Colorado river: https://spectrum.ieee.org/colorado-river-water-shortage
9. Google's AI overviews are not reliable: https://arstechnica.com/google/2026/04/analysis-finds-google-ai-overviews-is-wrong-10-percent-of-the-time/
10. Businesses plan to keep spending money on AI, even if it's not generating real returns: https://www.theregister.com/2026/04/10/ai_roi_kpmg/
11. AI have a lot of security risks of their own, but they are also becoming powerful tools for finding security flaws: https://www.theguardian.com/technology/2026/apr/10/us-summoned-bank-bosses-to-discuss-cyber-risks-posed-by-anthropic-latest-ai-model
12. Turns out AI really will destroy a lot of jobs: https://futurism.com/future-society/economist-ai-job-forecast
13. If you're going to use AI tools in a clinical setting, informed consent of the patients is really important: https://arstechnica.com/tech-policy/2026/04/californians-sue-over-ai-tool-that-records-doctor-visits/
14. AI tend to break in ways that engineers aren't used to or trained to recognise: https://spectrum.ieee.org/ai-reliability
15. The inaccuracies of Google's AI overviews is creating a crisis of misinformation: https://futurism.com/artificial-intelligence/google-ai-overviews-misinformation
16. If you are integrating AI into your business, build as if you are starting from scratch: https://www.theregister.com/2026/04/07/aws_garman_humanx_ai_underhyped/
17. By this point nothing said by the CEO of an AI company should be trusted or taken seriously: https://arstechnica.com/tech-policy/2026/04/what-the-heck-is-wrong-with-our-ai-overlords/
18. Spending on AI data centres is projected to hit $7T. Does anyone honestly think that that is sustainable? https: https://www.hpcwire.com/bigdatawire/2026/04/07/ai-is-running-into-a-7-trillion-wall/
19. Only a minority of AI projects pay off: https://www.theregister.com/2026/04/07/ai_returns_gartner/
20. The job market for older workers is so dire that people are having to train their own AI replacements just to make ends meet: https://www.theguardian.com/technology/ng-interactive/2026/apr/07/ai-training-work-jobs
21. The challenges of moving AI data centres into space: https://www.hpcwire.com/bigdatawire/2026/04/10/could-space-become-the-next-frontier-for-ai-data-centers/
22. AI has taken over most of the operations in currency trading: https://dataconomy.com/2026/04/10/ai-powered-trading-bots-and-the-evolution-of-forex-automation/
23. AI trained on patient X-rays will happily hallucinate a diagnosis even if not shown an X-ray: https://futurism.com/artificial-intelligence/frontier-models-medical-advice-x-rays-cant-see
24. AI still have a while to go before they can organise a good party: https://www.theguardian.com/technology/2026/apr/05/ai-bot-party-manchester-gaskell
25. Jobseekers now need to know how to get through AI interviews: https://www.stuff.co.nz/nz-news/360961113/company-interviewed-more-1000-kiwis-ai-month
26. Improving efficiency with AI requires effective leadership: https://www.hpcwire.com/bigdatawire/2026/04/06/the-ai-productivity-opportunity-bridging-the-technology-divide-starting-with-your-leadership/

Thursday, April 16, 2026

Complex & Intelligent Systems, Volume 12, Issue 4, April 2026

1) AI-native cloud-edge orchestration for 6G metaverse networks: an LLM-guided multi-agent DRL approach

Author(s): Daniel Ayepah-Mensah, Amine Kidane Ghebreziabiher, Jamal Bentahar

2) RAMAR: retrieval-augmented multi-agent reasoning for zero-shot sarcasm detection

Author(s): Congyin Hu, Shuang Cao, Fengjiao Jiang

3) An improved large neighborhood search algorithm for solving dynamic pickup and delivery problems

Author(s): Qingxia Shang, Yuanji Ming, Liang Feng

4) Efficient person re-identification via progressive filter pruning and body part-aware feature learning

Author(s): Anusha Jayasimhan, A. Vijaya Lakshmi, Thompson Stephan

5) SCPM: monocular 3D object detection with spatiotemporal consistent pseudo-labels module

Author(s): Yujing Wang, Abdul Hadi Abd Rahman, Fadilla Atyka Nor Rashid

6) A synergistic engine paradigm for real-time, context-aware decision-making: integrating declarative processes and event streams

Author(s): Leo Poss, Stefan Schönig

7) An unsupervised subdomain adaptation framework with self-attention and margin-aware weighting for gear fault diagnosis

Author(s): Chuanying Li, Qing Gong, Zhuoyu Yu

8) A multi agent collaborative framework for style guided knowledge reorganization of scientific source texts

Author(s): Yao Zheng, Lei Guo, Ge Zhu

9) Dagnet: dual-axis attention and grouped normalization for enhanced CLIP-based weakly supervised semantic segmentation

Author(s): Xiaoyan Shao, Xiaoming Bai, Zhenhao Zhao

10) Privacy-adaptive end-to-end federated learning framework with self-learning differential privacy and personalized optimization for secure healthcare intelligence

Author(s): K. M. Kirupa Shankar, V. Santhi

11) FATSNet: transformer-based skip network with frequency attention for remote sensing image super-resolution

Author(s): Yan Huo, Shuang Gang, Xiaoxue Sun

12) Ghost-free high dynamic range imaging under degradation with PINet

Author(s): Zhou Gong, Weiyu Zhou

13) Causality-driven multi-stage physics-informed neural networks for high-fidelity simulation of key variable fields in industrial reactors

Author(s): Xiaoxue Liang, Kuangrong Hao, He Ding

14) TR_Unet: a residual-enhanced U-Net for robust tongue image segmentation in complex conditions

Author(s): Dongsheng Ji, Penghao Chao, Wenhao Fan

15) ReGAIN: a reinforcement-enhanced generative AI framework for intelligent intrusion detection in IoT networks

Author(s): Aymin Javed, Nadeem Javaid, Jin-Ghoo Choi

16) Deep learning aided intelligent signal recognition for backscatter based metamaterial passive Internet of Things system

Author(s): Tianyuan Nie, Wenhao Zheng, Pei Xiao

17) PoseRWGCN: an attention-free dual-stream RWKV–GCN architecture for real-time 3D human pose estimation

Author(s): Lintao Song, Dezheng Cao, Xinye Ni

18) CALENDAR+: in-context contrastive learning for temporal knowledge graph reasoning

Author(s): Xingyi Li, Jiapeng Wang, Sen Su

19) ET-KAN: an energy-based transformer model with Kolmogorov–Arnold network for image reconstruction

Author(s): Chiara Marullo, Giuseppe Buonaiuto, Massimo Esposito

Friday, April 10, 2026

Weekly Review 10 April 2026

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

1. Using AI leads to people losing their logical thinking skills: https://arstechnica.com/ai/2026/04/research-finds-ai-users-scarily-willing-to-surrender-their-cognition-to-llms/
2. These five statistical biases are worth knowing if you work with AI training data: https://www.kdnuggets.com/the-most-common-statistical-traps-in-faang-interviews
3. One way to defeat AI plagiarism in class is to make students use typewriters: https://futurism.com/artificial-intelligence/ai-professor-typewriters
4. Reports on the impact of AI on the job market are were based on some pretty big assumptions: https://arstechnica.com/ai/2026/03/how-did-anthropic-measure-ais-theoretical-capabilities-in-the-job-market/
5. AI are NOT trustworthy: https://www.computerworld.com/article/4153919/why-ai-lies-cheats-and-steals.html
6. While Large Language Model AI are fairly new, they're built on 90 years of development: https://www.techtarget.com/searchenterpriseai/tip/History-of-generative-AI-innovations-spans-9-decades
7. AI facial recognition makes a lot of mistakes and causes a lot of harm: https://spectrum.ieee.org/facial-recognition-gone-wrong
8. Users of AI need to understand the data behind the insights AI provide, before those insights can be trusted: https://www.hpcwire.com/bigdatawire/2026/03/31/the-ai-trust-gap-why-ai-performance-requires-control/
9. Educators need to be transparent about the use of AI in producing teaching material: https://www.insidehighered.com/opinion/career-advice/teaching/2026/03/30/different-kind-ai-disclosure-statement-opinion
10. AI pentesting tools allows for continuous security testing: https://www.theregister.com/2026/04/01/amazon_security_boss_ai_efficiency/
11. Five different approaches to integrating AI into the university curriculum: https://www.insidehighered.com/news/student-success/academic-life/2026/04/03/how-5-colleges-are-approaching-ai
12. Now CEOs are going because of AI: https://futurism.com/artificial-intelligence/ai-ceos-resign
13. AI really is the ultimate capitalist tool-companies slash thousands of jobs even though they're already highly profitable: https://www.theguardian.com/technology/2026/apr/01/us-tech-firm-oracle-cuts-thousands-of-jobs-as-it-steps-up-ai-spending-larry-ellison
14. Modular data centres allow for faster and cheaper scaling for AI: https://spectrum.ieee.org/modular-data-center
15. Red Hat plans to roll more AI into its processes: https://www.theregister.com/2026/03/31/red_hat_ai_dev/
16. Don't believe the hype around AI: https://www.computerworld.com/article/4152552/beware-of-headlines-touting-impossible-ai-benefits-analysts-warn.html
17. Hands-on skilled workers are the ones least likely to be displaced by AI: https://www.theguardian.com/technology/2026/mar/31/jobs-ai-cant-do-young-adults
18. Having many services hanging off of a single AI model means a single-point of failure: https://www.informationweek.com/machine-learning-ai/your-ai-vendor-is-now-a-single-point-of-failure
19. AI needs chips, and chips makers need helium. The war with Iran has interrupted the helium supply: https://futurism.com/artificial-intelligence/helium-ai-iran-war
20. AI is really destroying childrens' ability to learn: https://www.theguardian.com/technology/2026/apr/02/pupils-england-losing-thinking-skills-because-of-ai-survey
21. Tertiary students are using AI for mental health support because on-campus support is not accessible: https://www.insidehighered.com/opinion/views/2026/04/03/what-know-about-ai-and-campus-mental-health-opinion
22. Students are using AI-enabled glasses to cheat in exams: https://www.extremetech.com/electronics/ai-smart-glasses-rentals-are-helping-students-cheat-on-their-exams
23. The waste heat from AI data centres directly affects the environment for kilometres around: https://www.theregister.com/2026/04/01/ai_datacenter_heat_islands/
24. AI services are now being used for supply-chain attacks: https://www.theregister.com/2026/04/02/mercor_supply_chain_attack/

Thursday, April 9, 2026

IEEE Transactions on Cognitive and Developmental Systems, Volume 18, Issue 2, April 2026

1) Grasp Representation and Detection With Consistent Path in Robotic Grasping

Author(s): L. Chen, Z. Li, J. Yang, Z. Lu, P. Wu, T. Chen

Pages: 302 - 302

2) CIDDA: Classifier-Driven Implicit Discriminator Domain Adaptation for EEG-Based Emotion Recognition and Depression Severity Grading

Author(s): R. Hu, Z. Yang, J. Shan, N. Su, Y. Tang, H. Yan, X. Lv, D. Fu, H. Zhang, T. Jiang, N. Zuo

Pages: 303 - 318

3) Astrocyte Regulated Neuromorphic Central Pattern Generator Control of Legged Robotic Locomotion

Author(s): Z. Han, A. Sengupta

Pages: 319 - 330

4) Augmented Hierarchical Scene Prior Learning With Context-Based Scene Completion Network for Visual Semantic Navigation

Author(s): J. Kang, C. Zhu, B. Chen, P. Zhong, H. Yang, T. Zou

Pages: 331 - 345

5) Grading of Developmental Dysgraphia Severity in Children: Multimodal Dataset and Classifier Fusion

Author(s): J. Kunhoth, M. Saleh, S. Al-Maadeed, P. Drotar, Y. Akbari

Pages: 346 - 360

6) Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction

Author(s): X. Hao, J. Wu, J. Yu, C. Xu, K. C. Tan

Pages: 361 - 372

7) A Minimal Model for Emergent Collective Behaviors in Autonomous Robotic Multiagent Systems

Author(s): H. B. Jond

Pages: 373 - 384

8) Efficient 2-D/3-D Gaze Estimation Using TGGNet: A Transformer Graph Approach

Author(s): R. Yahyaabadi, S. Nikan

Pages: 385 - 397

9) A Cooperative Multiagent Reinforcement Learning Method Based on Reward Decomposition for Scalable Agent Environments

Author(s): S. Wei, Z. Zhao, X. Feng, H. Yu

Pages: 398 - 410

10) NI-SSCL: A Neuroplasticity-Inspired Method for Semisupervised Continual Learning

Author(s): G. Xie, Y. Sun, X. Xu, H. Fu, Y. Shi, X. Hu

Pages: 411 - 423

11) Parallel Brain–Computer Interface: Collaborative Control and Perception Based on Multibrain Division of Labor

Author(s): Z. Ye, Y. Yu, Y. Zhang, Z. Zhou, D. Hu, L. -L. Zeng

Pages: 424 - 437

12) Graph Reinforcement Learning-Based Reachability Map for Generalized Mobile Manipulation

Author(s): L. Jiang, J. Ren, Z. Zhou, Y. Qu, Z. Zheng, H. Lu, M. Wu

Pages: 438 - 451

13) Semantic and Instance Information Interactive Mining for Semisupervised Deep Facial Expression Recognition

Author(s): Q. Zhou, Y. Xu, D. Xiong, X. Wu, J. Zhou, Y. Wang

Pages: 452 - 461

14) PIT-NBV: Poisson-Informed Transformer for 6-DOF Next Best View Planning in 3-D Object Reconstruction With Narrow Field of View

Author(s): D. Lim, C. Park, J. Kim, J. Hong, S. Han

Pages: 462 - 475

15) Is There a Specific Motor Signature of Autism? Exploratory Studies From Human–Machine Interaction

Author(s): S. Gauthier, S. M. Anzalone, J. Xavier, S. Boucenna, A. Berthoz, M. Chetouani, D. Cohen

Pages: 476 - 487

16) SPECI: Skill Prompts Based Hierarchical Continual Imitation Learning for Robot Manipulation

Author(s): J. Xu, X. Nie

Pages: 488 - 503

17) Sarsa-Augmented Off-Policy Reinforcement Learning

Author(s): N. Pang, L. Huang, B. Dong, H. Chen, X. Wang, W. Zhang

Pages: 504 - 517

18) The Interplay Between the Oculomotor and Auriculomotor System: Implications for Human–Machine Interfaces

Author(s): A. Schroeer, F. I. Corona-Strauss, D. J. Strauss

Pages: 518 - 529

19) Socially Aware Robot Navigation With Meta Reinforcement Learning: A Field-Theory Perspective

Author(s): S. Lu, B. Chen, P. Zhong, T. Zou, H. Yang, R. Liu, Y. Sheng

Pages: 530 - 543

20) Semantic Image Clustering With Deep Learning

Author(s): H. Hou, S. Ding, X. Xu, L. Guo, L. Ding, X. Wu

Pages: 544 - 555

21) Grouped Successive Multivariate Variational Mode Decomposition With Application to EEG Signal Processing and Connectivity Analysis

Author(s): D. Wu, S. Zhang, Y. Gao, D. Wang, T. Jiang, P. -P. Vidal, J. Cao

Pages: 556 - 571

Tuesday, April 7, 2026

IEEE Transactions on Neural Networks and Learning Systems, Volume 37, Issue 4, April 2026

1) Novel Approach for Decoding Olfactory Receptors Interactions With Molecules Based on Multimodal Feature and Deep Learning Network

Author(s): F. Wang, X. Xie, Y. Xiong, Z. Liu, M. Kong, H. Dong, X. Chen

Pages: 1506 - 1517

2) Spectral Embedding Representation Based on Random Anchor Graph Aggregation

Author(s): J. Zhou, F. Li, C. Gao, W. Ding, W. Pedrycz, G. Lang

Pages: 1518 - 1532

3) Decentralized Online Optimization With Compressed Communication Over Directed Graphs

Author(s): H. Liu, B. Zhang, Z. Yu, D. Yuan, M. Dai

Pages: 1533 - 1545

4) Higher Order Cumulants-Based Method for Direct and Efficient Causal Discovery

Author(s): W. Chen, L. Peng, Z. Huang, R. Cai, Z. Hao, K. Zhang

Pages: 1546 - 1559

5) Generalized Subspace Coupling Approach for Robust Low-Tubal-Rank Tensor Completion

Author(s): W. Kong, Q. Feng, Q. Shu, J. Wang, T. Huang, B. Zhang

Pages: 1560 - 1574

6) Multimodal Aspect-Based Sentiment Analysis With Plugin-Enhanced Large Language Models

Author(s): Y. Tian, Y. Song, Y. Zhang

Pages: 1575 - 1589

7) A Physics-Informed Demonstration-Guided Learning Framework for Granular Material Manipulation

Author(s): M. Wei, X. Yang, Y. -K. Lai, S. Amir Tafrishi, Z. Ji

Pages: 1590 - 1604

8) On Imbalance in Case Types: Evaluating and Enhancing PLMs for Criminal Court View Generation

Author(s): Y. Le, Z. Xiao, Y. Ding, E. S. Chng, K. Li

Pages: 1605 - 1617

9) SNN-FT: Temporal-Coded Spiking Neural Networks for Fourier Transform

Author(s): S. Wang, H. Zheng, Y. Chen, A. Belatreche, G. Wang, Y. Jin, J. Wu, M. Zhang, Y. Yang, H. Li

Pages: 1618 - 1630

10) Kernel-Based Representation Alignment for Class Imbalanced Semi-Supervised Learning

Author(s): Z. Li, J. Ye, J. Wen, H. Liu, T. Wang, W. Lin

Pages: 1631 - 1644

11) From a Social Cognitive Perspective: Context-Aware Visual Social Relationship Recognition

Author(s): S. Wu, C. Zhang, J. Chen, T. Xu, L. Wu, Q. Wang, Y. Gao, Y. Hu, E. Chen

Pages: 1645 - 1659

12) Evolving Fuzzy Control of Manipulator in Open Changing Scenarios Based on Offline and Online Fusion Learning

Author(s): T. Zhao, J. Pan, X. You

Pages: 1660 - 1673

13) An Intrinsically Knowledge-Transferring Developmental Spiking Neural Network for Tactile Classification

Author(s): J. Xing, Y. Liu, Z. Zhang, L. Chen, M. N. Hasan, Z. -B. Zhang

Pages: 1674 - 1686

14) A Hybrid-Gain ZNN With Precisely Predefined-Time Convergence for Time-Variant LMVI and Its Applications to UR Robotic Arm and Multiagent System

Author(s): B. Zheng, C. -I. Ieong, C. Li, Z. Zhang, J. Yu, P. X. Liu

Pages: 1687 - 1701

15) Riemannian Implicit Differentiation via a Fixed-Point Equation for Riemannian Bilevel Optimization

Author(s): X. Fan, Y. Wu, Z. Gao, Z. Lu, F. Li, M. Harandi, Y. Jia

Pages: 1702 - 1716

16) LEPD-Net: A Lightweight and Efficient Network for Pedestrian Detection

Author(s): W. Ge, S. Huang, M. Li, Y. Jiao

Pages: 1717 - 1725

17) Unseen From Seen: Rewriting Observation-Instruction Using Foundation Models for Augmenting Vision-Language Navigation

Author(s): Z. Wei, B. Lin, Y. Nie, J. Chen, S. Ma, H. Xu, X. Liang

Pages: 1726 - 1738

18) Integrating Actor–Critic Reinforcement Learning With Evolutionary Algorithm for Multimodal Multiobjective Optimization

Author(s): K. Xiang, T. Huang, L. Yang, J. Lin

Pages: 1739 - 1751

19) Explaining Neural Networks: Hierarchical Backpropagated Ensemble Learning

Author(s): G. He, Z. Wang, L. Tang, R. Zhang, R. Wang, X. Li, F. Nie

Pages: 1752 - 1765

20) Domain Generalization With Amplitude-Based Data Generation and Feature Random Suppression

Author(s): C. Xiong, B. Zhao, C. Wang, S. Ding

Pages: 1766 - 1778

21) SKIP: A Prototype-Based Scalable Knowledge Graph Representation Learning Method

Author(s): Y. Liu, K. Liang, J. Xia, M. Liu, X. Yang, X. Liu, S. Zhou, S. Z. Li

Pages: 1779 - 1792

22) Expensive Multiobjective Optimization Guided by Attention-Enhanced Generative Models

Author(s): G. Chen, Z. Wang, Q. Liu, J. J. Jiao, Y. Jin

Pages: 1793 - 1807

23) MG-DARTS: Multigranularity Differentiable Architecture Search for Tradeoff Between Model Effectiveness and Efficiency

Author(s): X. Liu, D. Saxena, J. Cao, Y. Zhao, P. Ruan

Pages: 1808 - 1822

24) GCM: Interpretable Multiagent Reinforcement Learning via Graph Cooperation Modeling

Author(s): X. Wu, Y. Zhu, C. Chen, C. Chen

Pages: 1823 - 1837

25) A Real-Time Neural Representation via Algorithm-Hardware Synergy for Sparse-View CT Reconstruction

Author(s): X. Li, H. Wan, K. Long, Q. Wu, C. Du, Y. Su, Z. Luo, X. Lou, Y. Zhang

Pages: 1838 - 1850

26) Universal Stabilization for Maximum Entropy Optimization in Reinforcement Learning

Author(s): X. Chen, Y. Li, X. Cao, H. Chen, H. Yao, B. An, Y. Chang

Pages: 1851 - 1863

27) Lightweight Dual-Kernel Information Aggregation Network for Efficient Image Super-Resolution

Author(s): Y. Tang, M. Su, X. Zhang

Pages: 1864 - 1875

28) Adapting Graph Models via Target Integrity Assessment and Source Distribution Hypothesis

Author(s): Z. Qiao, X. Yu, W. Guo, X. Luo, M. Xiao, H. Xiong

Pages: 1876 - 1888

29) A Radar Signal Deinterleaving Method Based on Multiscale With Attention Mechanism

Author(s): W. Li, Y. -Y. Dong, C. -X. Dong, T. Sun, R. Guo, Z. Li

Pages: 1889 - 1903

30) ORAL: Adaptive Gap Increasing for Advantage Learning via Occam’s Razor Principle

Author(s): Z. Zhang, Y. Zhou, Y. Long, J. Zhang, J. Weng, Z. Li, Y. Gan, X. Tan

Pages: 1904 - 1918

31) Chain-of-Detection: Enhancing Cross-Granularity Robotic Perception for Object Manipulation

Author(s): T. Xu, H. Gao, C. Chen, Y. Li, S. Xu, S. Guo, F. Chen

Pages: 1919 - 1933

32) The Applications and Properties of the TDS Algorithm

Author(s): X. Chen, L. Yan

Pages: 1934 - 1947

33) Toward Effective Model Merging in Semantic Segmentation

Author(s): H. Chen, Y. Xu, Y. Xu, Y. Zhang, Y. Zhang, F. Wang, L. Cui

Pages: 1948 - 1962

34) LeapVAD: A Leap in Autonomous Driving via Cognitive Perception and Dual-Process Thinking

Author(s): Y. Ma, T. Wei, N. Zhong, J. Mei, T. Hu, L. Wen, X. Yang, B. Shi, Y. Liu

Pages: 1963 - 1977

35) Inverse Reinforcement Learning for Disturbed Networked Nonlinear Systems With Data Dropouts

Author(s): P. Shi, W. Xue, J. Fan, F. L. Lewis, B. Lian

Pages: 1978 - 1990

36) LaMI-GO: Latent Mixture Integration for Goal-Oriented Communications Achieving High Spectrum Efficiency

Author(s): A. Wijesinghe, S. Wanninayaka, W. Wang, Y. -C. Chao, S. Zhang, Z. Ding

Pages: 1991 - 2005

37) Corrections to “Incremental Learning for Defect Segmentation With Efficient Transformer Semantic Complement”

Author(s): X. Li, Z. Huang, G. Ma, Y. Liu

Pages: 2006 - 2006

Monday, April 6, 2026

IEEE Transactions on Evolutionary Computation, Volume 30, Issue 2, April 2025

1) Efficient Meta-Heuristic Approach for the Multiobjective Green p-Hub Centre Routing Problem

Author(s): E. M. Ibnoulouafi, T. Aouam, M. Oudani, M. Ghogho

Pages: 449 - 463

2) A Multi-Fidelity Genetic Algorithm for Hyperparameter Optimization of Deep Neural Networks

Author(s): A. R. Moya, S. Ventura

Pages: 464 - 478

3) Automatic Fuzzy Architecture Design for Defect Detection via Classifier-Assisted Multiobjective Optimization Approach

Author(s): N. Li, B. Xue, L. Ma, M. Zhang

Pages: 479 - 490

4) Accelerating Bilevel Optimization With Hierarchical Many-Threaded Parallel Differential Evolution

Author(s): A. S. Dufek, J. S. Angelo, D. A. Augusto, H. J. C. Barbosa

Pages: 491 - 503

5) Evolutionary Direction Learning With Multivariate Gaussian Probabilistic Model for Multiobjective Optimization

Author(s): X. Wang, J. Zhang, L. Tang, Y. Liu

Pages: 504 - 518

6) Adaptive Similarity Feature Construction for Ontology Matching via Multilayer Hybrid Genetic Programming

Author(s): X. Xue, Y. Mei, B. Zhao, M. Zhang

Pages: 519 - 533

7) Constrained Multiobjective Optimization Based on Dynamic Priority and Cooperative Offspring Generation

Author(s): Z. He, F. Wang, B. Li, A. Zhou

Pages: 534 - 548

8) A Weight Inheritance and Guidance Strategy-Based Evolutionary Network Architecture Search

Author(s): L. Yan, Y. Du, J. Liang, B. Qu, C. Li, K. Yu

Pages: 549 - 563

9) Handling Objectives With Heterogeneous Evaluation Times in Surrogate-Assisted Evolutionary Multiobjective Optimization

Author(s): B. Santoshkumar, K. Deb

Pages: 564 - 578

10) A Distributed Ant Colony System With Pheromone Transfer for Multiagent Traveling Salesmen Problem

Author(s): X. -L. Shi, W. -N. Chen, F. -F. Wei, J. Zhang

Pages: 579 - 593

11) Autonomous Multiobjective Optimization Using Large Language Model

Author(s): Y. Huang, S. Wu, W. Zhang, J. Wu, L. Feng, K. C. Tan

Pages: 594 - 608

12) Knowledge-Aware Evolutionary Transformer

Author(s): R. Zhang, L. Li, L. Jiao, F. Liu, X. Liu, S. Yang

Pages: 609 - 623

13) Enhancing Landscape Approximation With Ensemble-Based Surrogate Model for Expensive Constrained Multiobjective Optimization

Author(s): Y. Li, X. Feng, H. Yu

Pages: 624 - 637

14) A Large-Scale Expensive Optimization Algorithm With a Multiview Synthetic Sampling

Author(s): K. Zhao, X. Wang, C. Sun, Y. Jin

Pages: 638 - 651

15) Multiobjective Competitive Co-Evolutionary Optimization and Regularity-Based Decision-Making for Two-Agent Wargame Strategy Optimization

Author(s): R. Guha, R. Mckendrick, B. Feest, K. Deb

Pages: 652 - 666

16) Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization

Author(s): Z. Ma, H. Guo, Y. -J. Gong, J. Zhang, K. C. Tan

Pages: 667 - 687

17) Dynamic Constrained Multiobjective Evolutionary Algorithm With Multipopulation Prediction and Dynamic Fusion Ranking

Author(s): D. Zhang, K. Zhang, K. Yu, J. Liang, K. Qiao, B. Qu, K. Chen, C. Yue

Pages: 688 - 701

18) An Evolutionary Ising Optimization Framework for Unconstrained Binary Quadratic Programming

Author(s): W. Fu, A. Trivedi, G. Chen, Y. Gao, D. Srinivasan, A. Danner

Pages: 702 - 716

19) Dynamic Multiobjective Optimisation Based on Vector Autoregressive Evolution

Author(s): S. Jiang, Y. Wang, Y. Hu, Q. Zhang, S. Yang

Pages: 717 - 731

20) Hierarchical Genetic Algorithm for the Multi-Solution Traveling Salesman Problem

Author(s): C. Yue, Y. Shen, J. Liang, K. Yu, M. Li, T. Ma, H. Song

Pages: 732 - 746

21) Fast High-Diversity Subset Selection for Multiobjective Optimization by Riesz s-Energy

Author(s): J. G. Falcón-Cardona, J. Juárez, L. A. Márquez-Vega, M. T. M. Emmerich

Pages: 747 - 761

22) Efficient Evolution of Variable Ordering for Binary Decision Diagram Optimization

Author(s): R. Krauss, R. Drechsler

Pages: 762 - 772

23) Difficulties of the NSGA-II With the Many-Objective LeadingOnes Problem

Author(s): B. Doerr, D. Korkotashvili, M. S. Krejca

Pages: 773 - 782

24) ENERGIZE: A Neuroevolution Framework for Energy-Efficient Machine Learning

Author(s): G. Cortês, N. Lourenço, P. Machado

Pages: 783 - 794

25) Dynamic Grouping With a Self-Aware Computational Resource Allocation for Large-Scale Multi-Objective Optimization

Author(s): Y. Chen, Z. Zhou, Y. Liu, L. Hu, Z. Zou, L. Xu, Z. Gan, C. Ouyang

Pages: 795 - 809

26) Leader–Follower Disagreement Minimization in Social Networks

Author(s): Y. Liu, X. Lin, Q. Zhang

Pages: 810 - 822

27) Two-Stage Clustering and Independent Competing-Based Evolutionary Algorithm for Multimodal Multiobjective Optimization

Author(s): K. Zhong, F. Xiao, X. Gao

Pages: 823 - 835

28) A Surrogate-Assisted High-Dimensional Mixed-Variable Evolutionary Framework and its Application to Vehicle Lightweighting Design

Author(s): S. Tan, Y. Wang, G. Sun, T. Pang

Pages: 836 - 850

29) A Two-Stage Cooperative Discrete Differential Evolution With Q-Learning for Multiobjective Energy-Efficient Distributed Blocking Flow-Shop Scheduling

Author(s): Y. Wang, H. Jin, G. -G. Wang

Pages: 851 - 866

30) Unsupervised Band Selection for Hyperspectral Image Classification: Particle Swarm Optimization via Cross-Domain Knowledge Transfer

Author(s): Y. Zhang, L. Li, Q. Lin, L. Wang, Z. Ming, F. Richard Yu, V. C. M. Leung

Pages: 867 - 881

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