Hanjing Wang

According to our database, Hanjing Wang authored at least 20 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Epistemic Uncertainty Quantification For Pre-trained Neural Network.

Hanjing Wang, Qiang Ji

CoRR, 2024

Semantic Attribution for Explainable Uncertainty Quantification.

Hanjing Wang, Shiqiang Wang, Qiang Ji

Proceedings of the Epistemic Uncertainty in Artificial Intelligence, 2024

Integrating Markov Blanket Discovery Into Causal Representation Learning for Domain Generalization.

Naiyu Yin, Hanjing Wang, Yue Yu, Tian Gao, Amit Dhurandhar, Qiang Ji

Proceedings of the Computer Vision - ECCV 2024, 2024

Optimization-Based Uncertainty Attribution Via Learning Informative Perturbations.

Hanjing Wang, Bashirul Azam Biswas, Qiang Ji

Proceedings of the Computer Vision - ECCV 2024, 2024

Bayesian Evidential Deep Learning for Online Action Detection.

Hongji Guo, Hanjing Wang, Qiang Ji

Proceedings of the Computer Vision - ECCV 2024, 2024

Epistemic Uncertainty Quantification for Pretrained Neural Networks.

Hanjing Wang, Qiang Ji

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Theory-guided Message Passing Neural Network for Probabilistic Inference.

Zijun Cui, Hanjing Wang, Tian Gao, Kartik Talamadupula, Qiang Ji

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Large sequence models for sequential decision-making: a survey.

Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Hai-Feng Zhang, Weinan Zhang

Frontiers Comput. Sci., December, 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

J. Mach. Learn. Res., 2023

Diversity-enhanced probabilistic ensemble for uncertainty estimation.

Hanjing Wang, Qiang Ji

Proceedings of the Uncertainty in Artificial Intelligence, 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

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body Reconstruction.

Yufei Zhang, Hanjing Wang, Jeffrey O. Kephart, Qiang Ji

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning.

Hanjing Wang, Dhiraj Joshi, Shiqiang Wang, Qiang Ji

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Variational message passing neural network for Maximum-A-Posteriori (MAP) inference.

Zijun Cui, Hanjing Wang, Tian Gao, Kartik Talamadupula, Qiang Ji

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Uncertainty-Guided Probabilistic Transformer for Complex Action Recognition.

Hongji Guo, Hanjing Wang, Qiang Ji

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

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, Weinan Zhang, Jun Wang

CoRR, 2021

2020

Towards Efficient Discrete Integration via Adaptive Quantile Queries.

Fan Ding, Hanjing Wang, Ashish Sabharwal, Yexiang Xue

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

AdaWISH: Faster Discrete Integration via Adaptive Quantiles.

Fan Ding, Hanjing Wang, Ashish Sabharwal, Yexiang Xue

CoRR, 2019

DCNN-GAN: Reconstructing Realistic Image from fMRI.

Yunfeng Lin, Jiangbei Li, Hanjing Wang

Proceedings of the 16th International Conference on Machine Vision Applications, 2019