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Hanjing Wang
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Year
Uncertainty-guided probabilistic transformer for complex action recognition
H Guo, H Wang, Q Ji
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
272022
Gradient-based uncertainty attribution for explainable bayesian deep learning
H Wang, D Joshi, S Wang, Q Ji
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
72023
Variational message passing neural network for Maximum-A-Posteriori (MAP) inference
Z Cui, H Wang, T Gao, K Talamadupula, Q Ji
Uncertainty in Artificial Intelligence, 464-474, 2022
42022
Body knowledge and uncertainty modeling for monocular 3d human body reconstruction
Y Zhang, H Wang, JO Kephart, Q Ji
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
32023
Theory-guided Message Passing Neural Network for Probabilistic Inference
Z Cui, H Wang, T Gao, K Talamadupula, Q Ji
International Conference on Artificial Intelligence and Statistics, 667-675, 2024
2024
Epistemic Uncertainty Quantification For Pre-trained Neural Network
H Wang, Q Ji
arXiv preprint arXiv:2404.10124, 2024
2024
Causal Markov Blanket Representation Learning for Out-of-distribution Generalization
N Yin, H Wang, T Gao, A Dhurandhar, Q Ji
Causal Representation Learning Workshop at NeurIPS 2023, 2023
2023
Bayesian Knowledge Distillation for Online Action Detection
H Guo, H Wang, Q Ji
2023
Causal Representation Learning and Inference for Generalizable Cross-Domain Predictions
N Yin, H Wang, A Dhurandhar, T Gao, Q Ji
2023
Semantic Attribution for Explainable Uncertainty Quantification
H Wang, S Wang, Q Ji
International Workshop on Epistemic Uncertainty in Artificial Intelligence …, 2023
2023
Diversity-enhanced probabilistic ensemble for uncertainty estimation
H Wang, Q Ji
Uncertainty in Artificial Intelligence, 2214-2225, 2023
2023
From Bayesian Filtering to Particle Filtering
H Wang
2019
Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body Reconstruction** Appendix
Y Zhang, H Wang, JO Kephart, Q Ji
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