| Rethinking graph neural networks for anomaly detection J Tang, J Li, Z Gao, J Li International Conference on Machine Learning, 21076-21089, 2022 | 135 | 2022 |
| Understanding notions of stationarity in nonsmooth optimization: A guided tour of various constructions of subdifferential for nonsmooth functions J Li, AMC So, WK Ma IEEE Signal Processing Magazine 37 (5), 18-31, 2020 | 46 | 2020 |
| Dirichlet graph variational autoencoder J Li, J Yu, J Li, H Zhang, K Zhao, Y Rong, H Cheng, J Huang Advances in Neural Information Processing Systems 33, 5274-5283, 2020 | 45 | 2020 |
| A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression J Li, S Huang, AMC So Advances in Neural Information Processing Systems 32, 3937-3947, 2019 | 25 | 2019 |
| Deconvolutional networks on graph data J Li, J Li, Y Liu, J Yu, Y Li, H Cheng Advances in Neural Information Processing Systems 34, 21019-21030, 2021 | 23 | 2021 |
| Fast epigraphical projection-based incremental algorithms for wasserstein distributionally robust support vector machine J Li, C Chen, AMC So Advances in Neural Information Processing Systems 33, 4029-4039, 2020 | 22 | 2020 |
| Field-aware probabilistic embedding neural network for CTR prediction W Liu, R Tang, J Li, J Yu, H Guo, X He, S Zhang Proceedings of the 12th ACM Conference on Recommender Systems, 412-416, 2018 | 22 | 2018 |
| A convergent single-loop algorithm for relaxation of gromov-wasserstein in graph data J Li, J Tang, L Kong, H Liu, J Li, AMC So, J Blanchet arXiv preprint arXiv:2303.06595, 2023 | 16* | 2023 |
| Psrec: social recommendation with pseudo ratings Y Meng, G Chen, J Li, S Zhang Proceedings of the 12th ACM Conference on Recommender Systems, 397-401, 2018 | 12 | 2018 |
| Robust attributed graph alignment via joint structure learning and optimal transport J Tang, W Zhang, J Li, K Zhao, F Tsung, J Li 2023 IEEE 39th International Conference on Data Engineering (ICDE), 1638-1651, 2023 | 11 | 2023 |
| Wasserstein Distributionally Robust Linear-Quadratic Estimation under Martingale Constraints K Lotidis, N Bambos, J Blanchet, J Li International Conference on Artificial Intelligence and Statistics, 8629-8644, 2023 | 9 | 2023 |
| Distributionally robust optimization and robust statistics J Blanchet, J Li, S Lin, X Zhang arXiv preprint arXiv:2401.14655, 2024 | 8 | 2024 |
| Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization T Zheng, L Zhu, AMC So, J Blanchet, J Li NeurIPS, 2023 | 8* | 2023 |
| Tikhonov regularization is optimal transport robust under martingale constraints J Li, S Lin, J Blanchet, VA Nguyen Advances in Neural Information Processing Systems 35, 17677-17689, 2022 | 8 | 2022 |
| Modified Frank Wolfe in probability space C Kent, J Li, J Blanchet, PW Glynn Advances in Neural Information Processing Systems 34, 14448-14462, 2021 | 8 | 2021 |
| Nonsmooth Nonconvex-Nonconcave Minimax Optimization: Primal-Dual Balancing and Iteration Complexity Analysis J Li, L Zhu, AMC So | 6* | 2023 |
| A splitting scheme for flip-free distortion energies O Stein, J Li, J Solomon SIAM Journal on Imaging Sciences 15 (2), 925-959, 2022 | 6 | 2022 |
| Unifying distributionally robust optimization via optimal transport theory J Blanchet, D Kuhn, J Li, B Taskesen arXiv preprint arXiv:2308.05414, 2023 | 4 | 2023 |
| Policy optimization with second-order advantage information J Li, B Wang arXiv preprint arXiv:1805.03586, 2018 | 4 | 2018 |
| Automatic outlier rectification via optimal transport J Blanchet, J Li, M Pelger, G Zanotti arXiv preprint arXiv:2403.14067, 2024 | 3 | 2024 |
Anthony Man-Cho SoDepartment of Systems Engineering and Engineering Management, The Chinese University of Hong Kong在 se.cuhk.edu.hk 的电子邮件经过验证
