Wang, Hanjing

15 publications

NeurIPS 2025 ReMA: Learning to Meta-Think for LLMs with Multi-Agent Reinforcement Learning Ziyu Wan, Yunxiang Li, Xiaoyu Wen, Yan Song, Hanjing Wang, Linyi Yang, Mark Schmidt, Jun Wang, Weinan Zhang, Shuyue Hu, Ying Wen

ECCV 2024 Bayesian Evidential Deep Learning for Online Action Detection Hongji Guo, Hanjing Wang, Qiang Ji

UAI 2024 Beyond Dirichlet-Based Models: When Bayesian Neural Networks Meet Evidential Deep Learning Hanjing Wang, Qiang Ji

CVPR 2024 Epistemic Uncertainty Quantification for Pre-Trained Neural Networks Hanjing Wang, Qiang Ji

ECCV 2024 Integrating Markov Blanket Discovery into Causal Representation Learning for Domain Generalization Naiyu Yin, Hanjing Wang, Yue Yu, Tian Gao, Amit Dhurandhar, Qiang Ji

ECCV 2024 Optimization-Based Uncertainty Attribution via Learning Informative Perturbations Hanjing Wang, Bashirul Azam Biswas, Qiang Ji

AISTATS 2024 Theory-Guided Message Passing Neural Network for Probabilistic Inference Zijun Cui, Hanjing Wang, Tian Gao, Kartik Talamadupula, Qiang Ji

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

NeurIPSW 2023 Causal Markov Blanket Representation Learning for Out-of-Distribution Generalization Naiyu Yin, Hanjing Wang, Tian Gao, Amit Dhurandhar, Qiang Ji

UAI 2023 Diversity-Enhanced Probabilistic Ensemble for Uncertainty Estimation Hanjing Wang, Qiang Ji

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

CVPR 2023 Gradient-Based Uncertainty Attribution for Explainable Bayesian Deep Learning Hanjing Wang, Dhiraj Joshi, Shiqiang Wang, Qiang Ji

MLOSS 2023 MALib: A Parallel Framework for Population-Based Multi-Agent Reinforcement Learning Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Yong Yu, Jun Wang, Weinan Zhang

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

UAI 2022 Variational Message Passing Neural Network for Maximum-a-Posteriori (MAP) Inference Zijun Cui, Hanjing Wang, Tian Gao, Kartik Talamadupula, Qiang Ji