Books

• Continual and Reinforcement Learning for Edge AI: Framework, Foundation, and Algorithm Design

  • Hang Wang, Sen Lin, Junshan Zhang

  • Morgan & Claypool Publishers, 2025

RL Theory (e.g., Warm-start Reinforcement Learning)

• Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap

  • Hang Wang, Sen Lin, Junshan Zhang

  • ICML 2023 (Oral, Top 5%), Video

• Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback

  • Hang Wang, Sen Lin, Junshan Zhang

  • NeurIPS 2021, Code

• [https:openreview.net/forum?id=pxg38Rw63r

  • Hang Wang, Qiaoyi Fang and Junshan Zhang

  • Conference on Parsimony and Learning (CPAL), Stanford, 2025

• Towards Unraveling and Improving Generalization in World Models

  • Qiaoyi Fang, Weiyu Du, Hang Wang and Junshan Zhang

  • CPAL, 2025

• System Identification via Meta-Learning in Linear Time-Varying Environments

  • Sen Lin, Hang Wang, Junshan Zhang

  • arXiv:2010.14664, 2020

Foundation Models and Self-supervised Finetuning

• AdaWM: Adaptive World Model based Planning for Autonomous Driving

  • Hang Wang, Xin Ye, Feng Tao, Chenbin Pan, Abhirup Mallik, Burhaneddin Yaman, Ren Liu and Junshan Zhang

  • ICLR, 2025, Pdf, Code

• Ego-centric Learning of Communicative World Models for Autonomous Driving

  • Hang Wang, Dechen Gao, Qiaoyi Fang and Junshan Zhang

  • Preprint, 2025, Code

• World-Model based Hierarchical Planning with Semantic Communications for Autonomous Driving

  • Dechen Gao, Hang Wang, Shuangyu Cai, Hanchu Zhou, Nejib Ammar, Shatadal Mishra, Iman Soltani and Junshan Zhang

  • Preprint, 2025, Code

• CarDreamer: Open-Source Learning Platform for World Model based Autonomous Driving

  • Dechen Gao, Shuangyu Cai, Hanchu Zhou, Hang Wang, Iman Soltani, Junshan Zhang

  • IEEE IoT, Code

• L-MBOP-E: Latent-Model Based Offline Planning with Extrinsic Policy Guided Exploration

  • Imran Adham, Hang Wang, Sen Lin, Junshan Zhang

  • IEEE International Conference on Mobility: Operations, Services, and Technologies (MOST) 2024

Multi-agent RL

• Ego-centric Learning of Communicative World Models for Autonomous Driving

  • Hang Wang, Dechen Gao, Qiaoyi Fang and Junshan Zhang

  • Preprint, 2025, Code

• Distributed Q-Learning with State Tracking for Multi-agent Networked Control

  • Video, Poster

  • Hang Wang, Sen Lin, Hamid Jafarkhani, Junshan Zhang

  • AAMAS 2021 (Extended Abstract)

Interdisciplinary Research

• Reinforcement Learning based Optical Material Composition Design

  • Paulina Escobar Diaz, Hang Wang, Junshan Zhang, Jeremy Munday

  • Ongoing Project

• Dual-layer Strengthened Collaborative Topic Regression Modeling for Predicting Drug Sensitivity

  • H. Wang, J. Xi, M. Wang, A. Li.

  • IEEE/ACM Transactions on Computational Biology and Bioinformatics(TCBB), 2018.

• One Inertial Sensor Based Metric for Upper-extremity Measurement

  • H. Wang, Mohamed Irfan Mohamed Refai, Bernhard J.F. van Beijnum

  • 12th International Joint Conference on Biomedical Engineering Systems and Technologies 2019, Prague, Czech Republic.

M.S. Thesis

• Reinforcement Learning based Control in Networked Systems

  • Qualifying Exam for Direct PhD student

B.E. Thesis

• Graphic Model Based Drug Sensitivity Prediction Research

  • Excellent Graduation Thesis Award, TOP 5%

US Patents

• Systems and Methods for Enhancing Motion Transformer Model with Diffusion Models through Knowledge Distillation

  • Hang Wang, Xin Ye, Feng Tao, Abhirup Mallik, Burhaneddin Yaman, Ren Liu

• Systems and Methods for World Model based Planning with Adaptive Finetuning for Autonomous Driving

  • Hang Wang, Xin Ye, Feng Tao, Chenbin Pan, Abhirup Mallik, Burhaneddin Yaman, Ren Liu

• World model based distributed learning for AI Agents

  • Junshan Zhang, Hang Wang and Dechen Gao

  
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