| A survey of data-driven and knowledge-aware explainable ai XH Li, CC Cao, Y Shi, W Bai, H Gao, L Qiu, C Wang, Y Gao, S Zhang, ... IEEE Transactions on Knowledge and Data Engineering 34 (1), 29-49, 2020 | 201 | 2020 |
| A New Theoretical Estimate for the Convergence Rate of the Maximal Weighted Residual Kaczmarz Algorithm. K Du, H Gao Numerical Mathematics: Theory, Methods & Applications 12 (2), 2019 | 27 | 2019 |
| Towards efficient visual simplification of computational graphs in deep neural networks R Pan, Z Wang, Y Wei, H Gao, G Ou, CC Cao, J Xu, T Xu, W Chen IEEE Transactions on Visualization and Computer Graphics, 2022 | 5 | 2022 |
| Visual diagnostics of parallel performance in training large-scale dnn models Y Wei, Z Wang, Z Wang, Y Dai, G Ou, H Gao, H Yang, Y Wang, CC Cao, ... IEEE Transactions on Visualization and Computer Graphics, 2023 | 4 | 2023 |
| Graph processing method and apparatus Z Wang, PAN Rusheng, WEI Yating, W Chen, H Gao US Patent App. 18/186,267, 2023 | 2 | 2023 |
| Interactive visual analytics of parallel training strategies for DNN models Z Wang, Y Wei, GC Ou, H Gao, H Yang, Y Wang, C Cao, M Zhu, W Chen Computers & Graphics 115, 392-403, 2023 | 1 | 2023 |
| Consistency Regularization for Domain Generalization with Logit Attribution Matching H Gao, K Li, W Xie, LIN Zhi, Y Huang, L Wang, CC Cao, NL Zhang | | 2023 |
| A Causal Framework to Unify Common Domain Generalization Approaches NL Zhang, K Li, H Gao, W Xie, Z Lin, Z Li, L Wang, Y Huang arXiv preprint arXiv:2307.06825, 2023 | | 2023 |
| Contrastive Domain Generalization via Logit Attribution Matching H Gao, K Li, Y Huang, L Wang, CC Cao, NL Zhang arXiv preprint arXiv:2305.07888, 2023 | | 2023 |
| Inverse Maximum Flow Problem Under the Combination of the Weighted l Norm and the Weighted Hamming Distance LC Liu, H Gao, C Li Journal of the Operations Research Society of China 9, 465-474, 2021 | | 2021 |
Lei ChenHong Kong University of Science and Technology在 cse.ust.hk 的电子邮件经过验证
