Hanjing Wang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 21

Top Topics

Noisy Observations

Probabilistic Inference

Message Passing

Action Recognition

Top Venues

Publications

Hanjing Wang, Shiqiang Wang, Qiang Ji
Semantic Attribution for Explainable Uncertainty Quantification. Epi UAI (2024)
Zijun Cui, Hanjing Wang, Tian Gao, Kartik Talamadupula, Qiang Ji
Theory-guided Message Passing Neural Network for Probabilistic Inference. AISTATS (2024)
Hanjing Wang, Qiang Ji
Epistemic Uncertainty Quantification For Pre-trained Neural Network. CoRR (2024)
Hanjing Wang, Dhiraj Joshi, Shiqiang Wang, Qiang Ji
Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning. CoRR (2023)
Hanjing Wang, Dhiraj Joshi, Shiqiang Wang, Qiang Ji
Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning. CVPR (2023)
Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Yong Yu, Jun Wang, Weinan Zhang
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. J. Mach. Learn. Res. 24 (2023)
Hanjing Wang, Qiang Ji
Diversity-enhanced probabilistic ensemble for uncertainty estimation. UAI (2023)
Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Haifeng Zhang, Weinan Zhang
Large Sequence Models for Sequential Decision-Making: A Survey. CoRR (2023)
Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Hai-Feng Zhang, Weinan Zhang
Large sequence models for sequential decision-making: a survey. Frontiers Comput. Sci. 17 (6) (2023)
Yufei Zhang, Hanjing Wang, Jeffrey O. Kephart, Qiang Ji
Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body Reconstruction. ICCV (2023)
Zhuo Huang, Hanjing Wang, Xinrui Shi
The Future of Work: Do We Need Interactive Collaborative Offices? The Most Interesting Survey in a Post-Covid World. ICDCS Workshops (2023)
Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai
GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models. CoRR (2023)
Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai
GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models. ICML (2023)
Yufei Zhang, Hanjing Wang, Jeffrey O. Kephart, Qiang Ji
Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body Reconstruction. CoRR (2023)
Hongji Guo, Hanjing Wang, Qiang Ji
Uncertainty-Guided Probabilistic Transformer for Complex Action Recognition. CVPR (2022)
Zijun Cui, Hanjing Wang, Tian Gao, Kartik Talamadupula, Qiang Ji
Variational message passing neural network for Maximum-A-Posteriori (MAP) inference. UAI (2022)
Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Weinan Zhang, Jun Wang
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. CoRR (2021)
Fan Ding, Hanjing Wang, Ashish Sabharwal, Yexiang Xue
Towards Efficient Discrete Integration via Adaptive Quantile Queries. ECAI (2020)
Fan Ding, Hanjing Wang, Ashish Sabharwal, Yexiang Xue
AdaWISH: Faster Discrete Integration via Adaptive Quantiles. CoRR (2019)
Yunfeng Lin, Jiangbei Li, Hanjing Wang
DCNN-GAN: Reconstructing Realistic Image from fMRI. CoRR (2019)
Yunfeng Lin, Jiangbei Li, Hanjing Wang
DCNN-GAN: Reconstructing Realistic Image from fMRI. MVA (2019)