DCNN-GAN: Reconstructing Realistic Image from fMRI. - Yunfeng Lin; Jiangbei Li; Hanjing Wang (MVA, 2019)

AdaWISH: Faster Discrete Integration via Adaptive Quantiles. - Fan Ding; Hanjing Wang; Ashish Sabharwal; Yexiang Xue (CoRR, 2019)

Towards Efficient Discrete Integration via Adaptive Quantile Queries. - Fan Ding; Hanjing Wang; Ashish Sabharwal; Yexiang Xue (ECAI, 2020)

MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. - Ming Zhou 006; Ziyu Wan; Hanjing Wang; Muning Wen; Runzhe Wu; Ying Wen 001; Yaodong Yang 001; Weinan Zhang 001; Jun Wang 012 (CoRR, 2021)

Uncertainty-Guided Probabilistic Transformer for Complex Action Recognition. - Hongji Guo; Hanjing Wang; Qiang Ji (CVPR, 2022)

Variational message passing neural network for Maximum-A-Posteriori (MAP) inference. - Zijun Cui; Hanjing Wang; Tian Gao; Kartik Talamadupula; Qiang Ji (UAI, 2022)

Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning. - Hanjing Wang; Dhiraj Joshi; Shiqiang Wang 001; Qiang Ji (CVPR, 2023)

Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body Reconstruction. - Yufei Zhang 017; Hanjing Wang; Jeffrey O. Kephart; Qiang Ji (ICCV, 2023)

The Future of Work: Do We Need Interactive Collaborative Offices? The Most Interesting Survey in a Post-Covid World. - Zhuo Huang; Hanjing Wang; Xinrui Shi (ICDCS Workshops, 2023)

GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models. - Hanjing Wang; Man-Kit Sit; Congjie He; Ying Wen 001; Weinan Zhang 001; Jun Wang 012; Yaodong Yang 001; Luo Mai (ICML, 2023)

Diversity-enhanced probabilistic ensemble for uncertainty estimation. - Hanjing Wang; Qiang Ji (UAI, 2023)

MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. - Ming Zhou 006; Ziyu Wan; Hanjing Wang; Muning Wen; Runzhe Wu; Ying Wen 001; Yaodong Yang 001; Yong Yu 001; Jun Wang 012; Weinan Zhang 001 (J. Mach. Learn. Res., 2023)

Large sequence models for sequential decision-making: a survey. - Muning Wen; Runji Lin; Hanjing Wang; Yaodong Yang 001; Ying Wen 001; Luo Mai; Jun Wang 012; Hai-Feng Zhang 002; Weinan Zhang 001 (Frontiers Comput. Sci., 2023)

Theory-guided Message Passing Neural Network for Probabilistic Inference. - Zijun Cui; Hanjing Wang; Tian Gao; Kartik Talamadupula; Qiang Ji (AISTATS, 2024)

Epistemic Uncertainty Quantification for Pretrained Neural Networks. - Hanjing Wang; Qiang Ji (CVPR, 2024)

Bayesian Evidential Deep Learning for Online Action Detection. - Hongji Guo; Hanjing Wang; Qiang Ji (ECCV (16), 2024)

Optimization-Based Uncertainty Attribution Via Learning Informative Perturbations. - Hanjing Wang; Bashirul Azam Biswas; Qiang Ji (ECCV (78), 2024)

Integrating Markov Blanket Discovery Into Causal Representation Learning for Domain Generalization. - Naiyu Yin; Hanjing Wang; Yue Yu; Tian Gao 007; Amit Dhurandhar; Qiang Ji (ECCV (10), 2024)

Semantic Attribution for Explainable Uncertainty Quantification. - Hanjing Wang; Shiqiang Wang 001; Qiang Ji (Epi UAI, 2024)

Beyond Dirichlet-based Models: When Bayesian Neural Networks Meet Evidential Deep Learning. - Hanjing Wang; Qiang Ji (UAI, 2024)

Epistemic Uncertainty Quantification For Pre-trained Neural Network. - Hanjing Wang; Qiang Ji (CoRR, 2024)

Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation. - Kounianhua Du; Hanjing Wang; Jianxing Liu; Jizheng Chen; Xinyi Dai; Yasheng Wang; Ruiming Tang; Yong Yu 001; Jun Wang 012; Weinan Zhang 001 (ACL (Findings), 2025)

Accelerating Multi‑turn LLM Agent Workflows via Context Templating and Opportunistic Prefill. - Hanjing Wang; Ying Wen 001; Weinan Zhang 001 (ICIC (13), 2025)

ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning. - Ziyu Wan; Yunxiang Li; Yan Song 003; Hanjing Wang; Linyi Yang; Mark Schmidt 001; Jun Wang 012; Weinan Zhang 001; Shuyue Hu; Ying Wen 001 (CoRR, 2025)