Full list available in Google Scholar. ORCID: 0000-0002-2644-2582. Please email me if you require a copy of my papers.
In my first term (2019-2022) at SIT, I prioritized urgent tasks (e.g., proposals) over publications. Now, our group is ramping up the pace for research and publications with good impact. We welcome you to join us. 📧
Ziheng Zhang, Tzu Pei Ku Chia and Wei Zhang. "Learning to Schedule in Construction and Built-Environment Operations: A Systematic Critical Review of Deep Reinforcement Learning, Graph Neural Networks, and Multi-agent Approaches." September 2026. [SSRN DOI/PDF]
Ziheng Zhang, Tzu Pei Ku Chia, Xiaofei Yang, Xiangyu Chang, Shuyi Wang, Jichuan Tang and Wei Zhang. "CertiGATE: A Guard Benchmark and Quality-Certificate Protocol for Large Language Model-Based Work-Order Scheduling in Facility Management." September 2026. [SSRN DOI/PDF]
Yuan Qiu, Wei Li, Yunyi Zhao, Wei Zhang (corresponding author), et al. "Mixture of Heterogeneous Experts: A Safety-priority Architecture for Coordinated Energy Dispatch in Hydrogen-Battery-grid Systems." September 2026. [SSRN DOI/PDF]
Sara Sameer, Yunyi Zhao, Wei Zhang (corresponding author), et al. "PhyMamba: Physics-Modulated Mamba for Robust Battery Health Prognostics." August 2026. [arXiv PDF]
Dhivya Dharshini Kannan, Wei Zhang (corresponding author), Jieyi Bi, et al. "PLAN: Parallel Liquid-Inspired Approximation Network for Efficient Representation Learning in Flexible Job Shop Scheduling." August 2026. [arXiv PDF]
Ziheng Zhang and Wei Zhang (corresponding author). "Time-Lag-Aware Deep Reinforcement Learning for Flexible Job-Shop Scheduling in PPVC Module Factories." July 2026. [arXiv PDF][Code]
Jing Liu, Kun Yang, Yan Wang, Dingkang Yang, Xiaoshuai Hao, Wei Zhang, Yang Liu, Wei Zhou. "PFAdapter: Hierarchical LoRA Decomposition for Personalized Federated MLLMs." July 2026. [arXiv DOI/PDF]
Hanwen Zhang, Dusit Niyato, Wei Zhang (corresponding author), et al. "An Agentic AI Framework with Large Language Models and Chain-of-Thought for UAV-Assisted Logistics Scheduling with Mobile Edge Computing." May 2026. [arXiv PDF]
Zhengyi Kwan, Wei Zhang (corresponding author), Aik Beng Ng, et al. "KnowDiff: Knowledge-Regulated Dual-Stream Diffusion for Robust Battery Prognostics." December 2025. [Preprint PDF]
Impact Factors (updated in Jan. 2025) of my papers: TMM: 8.4, SMC Mag: 1.9, IoT-J: 8.2, Internet Comput.: 3.7, NET-M: 6.8, TCC: 5.3, TIST: 7.3, TON: 3.0, TSC: 5.5, TVT: 6.1, etc.
Journal Publications
Hongyi Lv, Songyi Li, Jiaxin Ding, Pingxu Ge, Xiaodong Zhang, Chenglin Chang, Wei Zhang, Zuming Liu. "Co-optimization of Park-level Electricity-heat-hydrogen Integrated Energy Systems with Reversible Solid Oxide Cells." Sustainable Energy Technologies and Assessments, vol. 94, pp. 105439. October 2026. [ScienceDirect DOI] [50-day Free Access]
Hanwen Zhang, Ruichen Zhang, Wei Zhang (corresponding author), et al. "Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Electric Vehicles." IEEE Internet of Things Journal (IoT-J), vol. 13, no. 13, pp. 28825-28840. July 2026. [arXiv PDF][IEEE DOI]
Vijay Babu Pamshetti, Wei Zhang (corresponding author), Sumei Sun, et al. "Knowledge-Aware Modeling with Frequency Adaptive Learning for Battery Health Prognostics." IEEE Internet of Things Journal (IoT-J), vol. 13, no. 10, pp. 21571-21584. May 2026. [arXiv][IEEE DOI]
Wei Li, Wei Zhang (corresponding author), Yi Xie, et al. "Operando Thermal Reconstruction for Lithium-Ion Batteries via Physics-Informed Generative Diffusion Models." IEEE Transaction on Transportation Electrification (TTE), vol. 12, no. 1, pp. 1869-1879. February 2026. [Link][PDF][DOI]
Wei Zhang (corresponding author) and Sakshi Bansal. “Towards Industrial Artificial Intelligence: A Discussion of Management, Technology and Human." IEEE Systems, Man, and Cybernetics Magazine, vol. 12, no. 1, pp. 4-16. January 2026. [SIT PDF][Google Drive PDF][DOI]
Conference Papers
[WI-IAT '26] Wen Yang Tan, Jiawei Li, Fang Liu, Wei Zhang (corresponding author), et al. "TIDE: Trustworthy and Interpretable Battery Degradation Estimation with Contextual Learning and Symbolic Distillation." IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). IEEE. Brisbane, Australia. December 3-6, 2026. (acceptance rate: 29%) [arXiv PDF]
[ICPP '26] Zhengyi Kwan, Wei Zhang (corresponding author), Aik Beng Ng, et al. "ReLA: Representation Learning and Aggregation for Job Scheduling with Reinforcement Learning." International Conference on Parallel Processing (ICPP). ACM. Singapore. September 28-October 1, 2026. (acceptance rate: 23%) [arXiv PDF][ACM DOI/PDF]
[ICPR '26] Dhivya Dharshini Kannan, Wei Li, Wei Zhang (corresponding author), et al. "When Smaller Wins: Dual-Stage Distillation and Pareto-Guided Compression of Liquid Neural Networks for Edge Battery Prognostics." International Conference on Pattern Recognition (ICPR). IAPR. Lyon, France. August 17-22, 2026. [arXiv PDF][Code][ICPR 2026 Reproducible Research in Pattern Recognition (RRPR) Badge]
[ICPR '26] Yunyi Zhao, Wei Zhang (corresponding author), Cheng Xiang, et al. "Diffusion-Modeled Reinforcement Learning for Carbon and Risk-Aware Microgrid Optimization." International Conference on Pattern Recognition (ICPR). IAPR. Lyon, France. August 17-22, 2026. [arXiv PDF]
[ICPR '26] Jasraj Singh, Fang Liu, Hong Xu, Bee Chin Ng, and Wei Zhang. "LingML: Linguistic-Informed Machine Learning for Enhanced Fake News Detection." International Conference on Pattern Recognition (ICPR). IAPR. Lyon, France. August 17-22, 2026. [arXiv PDF]
[IJCNN '26] Yuan Qiu, Wei Li, Wei Zhang (corresponding author), et al. "Interpretable Battery Aging without Extra Tests via Neural-Assisted Physics-based Modelling." International Joint Conference on Neural Networks (IJCNN). IEEE/INNS. Maastricht, Netherlands. June 21-26, 2026. [arXiv PDF]
[IJCNN '26] Alexander Matyasko, Xin Lou, Indriyati Atmosukarto, Wei Zhang. "TsallisPGD: Adaptive Gradient Weighting for Adversarial Attacks on Semantic Segmentation." International Joint Conference on Neural Networks (IJCNN). IEEE/INNS. Maastricht, Netherlands. June 21-26, 2026.
[SAC '26] Sara Sameer, Wei Zhang (corresponding author), Kannan Dhivya Dharshini, et al. “Pace: Physics-Aware Attentive Temporal Convolutional Network for Battery Health Estimation.” ACM/SIGAPP Symposium On Applied Computing (SAC), pp. 1140-1147. ACM. Thessaloniki, Greece. March 23–27, 2026. (acceptance rate: 23.4%) [arXiv PDF][GitHub Code][ACM Open Acess]
[SAC '26] Wei Li, Wei Zhang (corresponding author), and Qingyu Yan. “EntroLnn: Entropy-Guided Liquid Neural Networks for Operando Refinement of Battery Capacity Fade Trajectories.” ACM/SIGAPP Symposium On Applied Computing (SAC), pp. 1447-1454. ACM. Thessaloniki, Greece. March 23–27, 2026. (acceptance rate: 23.4%) [arXiv PDF][ACM Open Access]
[SAC '26] Zhiying Yang, Fang Liu, Wei Zhang (corresponding author), et al. “LLM-Upgraded Graph Reinforcement Learning for Carbon-Aware Flexible Job Shop Scheduling in Smart Manufacturing.” ACM/SIGAPP Symposium On Applied Computing (SAC), pp. 831-838. ACM. Thessaloniki, Greece. March 23–27, 2026. (acceptance rate: 23.4%) [arXiv PDF][ACM Open Access]
[SAC '26] Vijay Babu Pamshetti, Hiew Teng Kan, Wei Zhang (corresponding author), et al. “Shift: Sodium-battery Health Prediction with Integrated Frequency-aware Transfer Learning.” ACM/SIGAPP Symposium On Applied Computing (SAC), pp. 1942-1949. ACM. Thessaloniki, Greece. March 23–27, 2026. (acceptance rate: 23.4%). [ACM Open Access]
Journal Publications
Lei Wang, Wei Zhang (corresponding author), Wei Li, et al. “DGAT: Dynamic Graph Attention-Transformer Network for Battery State of Health Multi-Step Prediction." Energy, vol. 330, pp. 136876. September 2025. [ScienceDirect Open Access]
Zhengyi Kwan, Wei Zhang (corresponding author), Zhengkui Wang, et al. “Nutrition Estimation for Dietary Management: A Transformer Approach with Depth Sensing." IEEE Transactions on Multimedia (TMM), vol. 27, pp. 6047-6058. April 2025. [PDF][DOI]
Hanwen Zhang, Dusit Niyato, Wei Zhang (corresponding author), et al. “The Roles of Generative Artificial Intelligence in Internet of Electric Vehicles." IEEE Internet of Things Journal (IoT-J), vol. 12, no. 6, pp. 6208-6232. March 2025. [PDF][Link]
Erhai Hu, Hong Han Choo, Wei Zhang, et al. "Integrating Machine Learning and Characterization in Battery Research: Toward Cognitive Digital Twins with Physics and Knowledge." Advanced Functional Materials, pp. 2422601. January 2025. [Link]
B. Sivaneasan, Kuan Tak Tan, Wei Zhang (corresponding author). “Cognitive Digital Twin for Microgrid: A Real-World Study for Intelligent Energy Management and Optimization.” IEEE Internet Computing, vol. 29, no. 1, pp. 39-47. January 2025. (Best Paper Award) [PDF][IEEE DOI]
Conference Papers
[GLOBECOM '25] Wei Li, Wei Shen Jackson Ng, Wei Zhang (corresponding author), et al. “Driving Behavior-Aware Transformer for Practical Battery Capacity Estimation.” IEEE Global Communications Conference (GLOBECOM). IEEE. Taipei, China. December 8–12, 2025. [SIT PDF][Google Drive PDF][Slides]
[IV '25] Vijay Babu Pamshetti, Wei Zhang (corresponding author), King Jet Tseng, et al. "Optimal Signal Decomposition-based Multi-Stage Learning for Battery Health Estimation." IEEE Intelligent Vehicles Symposium (IV), pp. 2409-2414. IEEE. Cluj-Napoca, Romania. June 22-25, 2025. [PDF][Poster][DOI]
[VTC '25] Sara Sameer, Wei Zhang (corresponding author), Xin Lou, et al. "GiNet: Integrating Sequential and Context-Aware Learning for Battery Capacity Prediction." IEEE Vehicular Technology Conference (VTC), pp. 1-6. IEEE. Oslo, Norway. June 17-20, 2025. [PDF][Code][Sara's Slides][Sara's Video][DOI]
[CAI '25] Yanghui Mo, Xin Lou, Mageshwaran Muthusamy, Wei Zhang, et al. “Adversarially Trained Dynamic Ensemble: A Moving Target Defense Strategy for Robust Semantic Segmentation in Autonomous Vehicles.” IEEE Conference on Artificial Intelligence (CAI), pp. 1036-1043. IEEE. Santa Clara, California, USA. May 5-7, 2025. (Best Paper Award) [DOI]
Malcolm Yoke Hean Low, Chin Soon Chong, Changjun Yang, Sivakumar Nadarajan, Wei Zhang. “Development of a Multi-Objective Ship Operations Optimization Decision Support System.” International Conference on Industrial Engineering and Operations Management, pp. 1707-1716. Singapore, February 18-20, 2025. (Best Track Paper) [PDF][DOI]
Journal Publications
Kivanc Saglik, Siddharth Srinivasan, Varsha Victor, Xizu Wang, Wei Zhang (corresponding author), Qingyu Yan (corresponding author). “Machine Learning for Next-Generation Thermoelectrics.” Materials Today Energy, pp. 101700. October 2024. [PDF]
Conference Papers
[TENCON '24] Vijay Babu Pamshetti, Wei Zhang (corresponding author), Andy Man-Fai Ng, et al. "Enhanced Battery Degradation-Aware Scheduling for Distribution Network with Electric Vehicle Load." IEEE Region 10 Conference 2024 (TENCON), pp. 1044-1047. IEEE. Singapore. December 1–4, 2024. [PDF][DOI]
[VTC '24] Yunyi Zhao, Wei Zhang (corresponding author), Qingyu Yan, et al. "Practical Battery Health Monitoring using Uncertainty-Aware Bayesian Neural Network." IEEE Vehicular Technology Conference (VTC), pp. 1-6. IEEE. Washington DC, USA. October 7-10, 2024. [PDF][Slides][DOI]
[AIoT '24] Yunyi Zhao, Wei Zhang (corresponding author), Erhai Hu, et al. “BatSort: Enhanced Battery Classification with Transfer Learning for Battery Sorting and Recycling.” IEEE Annual Congress on Artificial Intelligence of Things (IEEE AIoT), pp. 201-206. IEEE. Melbourne, Australia. July 24-26, 2024. [PDF][Data][Slides][DOI]
[AIoT '24] Fang Liu, Bosheng Ding, Chong Guan, Wei Zhang, et al. "Demystify Adult Learning: A Social Network and Large Language Model Assisted Approach.” IEEE Annual Congress on Artificial Intelligence of Things (IEEE AIoT), pp. 207-212. IEEE. Melbourne, Australia. July 24-26, 2024. [PDF][DOI]
Journal Publications
Fang Liu, Wei Zhang (corresponding author), Indriyati Atmosukarto et al. “TransLine: Transfer Learning for Accurate and Explainable Power Line Anomaly Detection with Insufficient Data.” CCF Transactions on Pervasive Computing and Interaction (TPCI), pp. 1-14. May 2023. (extended version of our ICC '22 paper) [PDF] [Data]
Erhai Hu, Chuntai Liu, Wei Zhang (corresponding author) et al “Machine Learning Assisted Understanding and Discovery of CO2 Reduction Reaction Electrocatalyst.” The Journal of Physical Chemistry C, vol. 172, no. 2, pp. 882-893. January 2023. (ACS Editors’ Choice; 3k+ article views in 3 months) [PDF]
Pan Lai, Rui Fan, Xiao Zhang, Wei Zhang et al. “Utility Optimal Thread Assignment and Resource Allocation in Multi-Server Systems.” IEEE/ACM Transactions on Networking (TON), vol. 30, no. 2, pp. 735-748. April 2022. (extended version of our IPDPS '16 paper) [PDF]
Jie Li, Wei Zhang (corresponding author), Guanyu Gao et al. “Towards Intelligent Multi-Zone Thermal Control with Multi-Agent Deep Reinforcement Learning.” IEEE Internet of Things Journal (IoT-J), vol. 8, no. 14, pp. 11150-11162. July 15, 2021. [PDF]
Wei Zhang, Yonggang Wen, King Jet Tseng et al. “Demystifying Thermal Comfort in Smart Buildings: An Interpretable Machine Learning Approach.” IEEE Internet of Things Journal (IoT-J), vol. 8, no. 10, pp. 8021-8031. May 15, 2021. [PDF]
Wei Zhang, Jie Li, Yonggang Wen et al. “Towards A Wearable Crowdsource System to Monitor Respiratory Symptoms for Pandemic Early Warning.” IEEE Network, vol. 35, no. 3, pp. 56-63. May/June 2021. [PDF]
Wei Zhang, Yonggang Wen, Loi Lei Lai et al. “Cost Optimal Data Center Servers: A Voltage Scaling Approach.” IEEE Transactions on Cloud Computing (TCC), vol. 9, no. 1, pp. 118-130. IEEE. January-March 2021. [PDF]
Conference Papers
[SMC '23] Syabil Soedirman Salamat, Fang Liu, Zengyan Fan, Wei Zhang (corresponding author). “It Is About Weather: Explainable Machine Learning for Traffic Accident Understanding.” IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 2689-2694. IEEE. Hawaii, USA. October 1–4, 2023. [PDF]
[ICC '22] Fang Liu, Teck Wei Low, Wei Zhang (corresponding author) et al. “TransLine: Transfer Learning for Accurate Power Line Anomaly Detection with Insufficient Data.” IEEE International Conference on Communications (ICC), pp. 5543-5548. IEEE. Seoul, South Korea. May 16–20, 2022. [PDF] [Data]
[GLOBECOM '21] Wei Zhang, Yonggang Wen, and Fang Liu. “Towards Cost-Optimal Energy Procurement for Cooling as a Service: A Data-Driven Approach.” IEEE Global Communications Conference (GLOBECOM). IEEE. Madrid, Spain. December 7 - 11, 2021. [PDF]
Journal Publications
Wei Zhang, Yonggang Wen, Loi Lei Lai et al. “Electricity Cost Minimization for Interruptible Workload in Data Centers.” IEEE Transactions on Services Computing (TSC), vol. 13, no. 6, pp. 1059-1071. IEEE. December 2020. [PDF]
Sivanand Somasundaram, Alex Chong, Wei Zhang et al. "Energy Saving Potential of Low-e Coating based Retrofit Double Glazing for Tropical Climate." Energy and Buildings, vol. 206, pp. 109570. January 2020. (citations: 100+) [Link]
Wei Zhang, Weizheng Hu and Yonggang Wen. “Thermal Comfort Modeling for Smart Buildings: A Fine-Grained Deep Learning Approach.” IEEE Internet of Things Journal (IoT-J), vol. 6, no. 2, pp. 2540-2549. IEEE. April 2019. (citations: 100+) [PDF]
Wei Zhang, Rui Fan, Yonggang Wen et al. “Energy Optimal Wireless Data Transmission for Wearable Devices: A Compression Approach.” IEEE Transactions on Vehicular Technology (TVT), vol. 67, no. 10, pp. 9605-9618. IEEE. October 2018. [PDF]
Wei Zhang, Rui Fan, Yonggang Wen et al. “Energy Efficient Mobile Video Streaming: A Location-aware Approach.” ACM Transactions on Intelligent Systems and Technology (TIST), vol. 9, issue 1, article 6. ACM. August 2017. [PDF]
Weizheng Hu, Wei Zhang, Han Hu et al. “Towards Joint Compression-Transmission Optimization for Green Wearable Devices: An Energy-Delay Tradeoff.” IEEE Internet of Things Journal (IoT-J), vol. 4, no. 4, pp. 1006-18. IEEE. August 2017. [PDF]
Conference Papers
[ICME '19] Fang Liu, Wei Zhang, Yonggang Wen. “QoE-Driven Mobile Streaming: A Location-aware Approach.” IEEE International Conference on Multimedia & Expo (ICME), pp. 1708-1713. IEEE. Shanghai, China. July 8 - 12, 2019. [PDF]
[SPAWC '17] Wei Zhang, Yonggang Wen, Ying Jun (Angela) Zhang, et al. “Mobile Cloud Computing with Voltage Scaling and Data Compression.” IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE. Hokkaido, Japan. July 3 - 6, 2017. (invited paper) [PDF]
[IPDPS '16] Pan Lai, Rui Fan, Wei Zhang et al. “Utility Maximizing Thread Assignment and Resource Allocation.” IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp. 433-42. IEEE. Orlando, Florida USA. May 29 - June 2, 2016. (acceptance rate: 23%) [PDF]
Conference Papers
[CLOUD '15] Fang Liu, Wee Keong Ng and Wei Zhang. “Encrypted SVM for Outsourced Data Mining.” IEEE International Conference on Cloud Computing (CLOUD), pp. 1085-92. IEEE. New York, USA. June 27 - July 2, 2015. (acceptance rate: 15%) [PDF]
[ICPADS '15] Wei Zhang, Rui Fan, Fang Liu et al. “Energy Aware Caching.” IEEE International Conference on Parallel and Distributed Systems (ICPADS), pp. 473-80. IEEE. Melbourne, Australia. December 14-17, 2015. (Student Travel Award) [PDF]
[IC2E '14] Fang Liu, Wee Keong Ng, Wei Zhang et al. “Encrypted Set Intersection Protocol for Outsourced Datasets.” IEEE International Conference on Cloud Engineering (IC2E), pp. 135-40. IEEE. Boston, Massachusetts, USA. March 10-14, 2014. (acceptance rate: 20%) [PDF]
[CLOUD '14] Fang Liu, Wee Keong Ng and Wei Zhang. “Encrypted Scalar Product Protocol for Outsourced Data Mining.” IEEE International Conference on Cloud Computing (CLOUD), pp. 336-43. IEEE. Alaska, USA. June 27 - July 2, 2014. (acceptance rate: 19%) [PDF]
[GECCO '11] Maoguo Gong, Fang Liu, Wei Zhang et al. “Interactive MOEA/D for Multi-objective Decision Making.” Annual Conference on Genetic and Evolutionary Computation Conference (GECCO), pp. 721-8. ACM. Dublin, Ireland. July 12-16, 2011. (citations: 100+) [PDF]
Wei Zhang (corresponding author), Andrew Keong Ng, and Bala Sivaneasan. “A Discussion of Energy-Efficient Data Transmission with Data Compression.” IEEE Smart Grid Bulletin. January 2023. IEEE.
Wei Zhang. “Foreword: Special Issue – Explainable Artificial Intelligence for Smart Cities.” IEEE Smart Cities Newsletter. June 2021. IEEE.
Wei Zhang, Xue Feng, King Jet Tseng et al. “Interpretable Machine Learning for Smart Cities.” IEEE Smart Cities Newsletter. March 2020. IEEE. (invited article)