| 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 | 37 | 2022 |
| 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 | 13 | 2023 |
| 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 | 9 | 2023 |
| Diversity-enhanced probabilistic ensemble for uncertainty estimation H Wang, Q Ji Uncertainty in Artificial Intelligence, 2214-2225, 2023 | 5 | 2023 |
| 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 | 4 | 2022 |
| Epistemic Uncertainty Quantification For Pre-trained Neural Networks H Wang, Q Ji Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 3 | 2024 |
| Integrating Markov Blanket Discovery Into Causal Representation Learning for Domain Generalization N Yin, H Wang, Y Yu, T Gao, A Dhurandhar, Q Ji European Conference on Computer Vision, 271-288, 2024 | 1 | 2024 |
| Causal Markov blanket representation learning for out-of-distribution generalization N Yin, H Wang, T Gao, A Dhurandhar, Q Ji NeurIPS Workshop: Causal Representation Learning, 2023, 2023 | 1 | 2023 |
| Semantic attribution for explainable uncertainty quantification H Wang, S Wang, Q Ji International Workshop on Epistemic Uncertainty in Artificial Intelligence …, 2023 | 1 | 2023 |
| Bayesian Knowledge Distillation for Online Action Detection H Guo, H Wang, Q Ji | 1 | 2023 |
| Bayesian Evidential Deep Learning for Online Action Detection H Guo, H Wang, Q Ji European Conference on Computer Vision, 283-301, 2024 | | 2024 |
| Optimization-Based Uncertainty Attribution Via Learning Informative Perturbations H Wang, BA Biswas, Q Ji European Conference on Computer Vision, 237-253, 2024 | | 2024 |
| Beyond dirichlet-based models: when Bayesian neural networks meet evidential deep learning H Wang, Q Ji The 40th Conference on Uncertainty in Artificial Intelligence, 2024 | | 2024 |
| 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 |
| Causal Markov Blanket Representation Learning for Out-of-distribution Generalization N Yin, H Wang, T Gao, A Dhurandhar, Q Ji NeurIPS Workshop: Causal Representation Learning, 2023, 2023 | | 2023 |
| From Bayesian Filtering to Particle Filtering H Wang | | 2019 |
| Optimization-Based Uncertainty Attribution Via Learning Informative Perturbations AVL Informative | | |
| Causal Representation Learning and Inference for Generalizable Cross-Domain Predictions N Yin, H Wang, A Dhurandhar, T Gao, Q Ji | | |
| Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body Reconstruction** Appendix Y Zhang, H Wang, JO Kephart, Q Ji | | |
Qiang JiProfessor of Electrical Eng., RPIEmail yang diverifikasi di ecse.rpi.edu