Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning. J Yan, X Liu, L Shi, C Li, H Zha IJCAI, 2948-2954, 2018 | 50 | 2018 |
Automix: Mixup networks for sample interpolation via cooperative barycenter learning J Zhu, L Shi, J Yan, H Zha Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 34 | 2020 |
Improving generative adversarial networks via adversarial learning in latent space Y Li, Y Mo, L Shi, J Yan Advances in neural information processing systems 35, 8868-8881, 2022 | 20 | 2022 |
Understanding and generalizing contrastive learning from the inverse optimal transport perspective L Shi, G Zhang, H Zhen, J Fan, J Yan International conference on machine learning, 31408-31421, 2023 | 15 | 2023 |
Iid-gan: an iid sampling perspective for regularizing mode collapse Y Li*, L Shi*, J Yan International Joint Conferences on Artificial Intelligence 2023, 2023 | 11 | 2023 |
Relative entropic optimal transport: a (prior-aware) matching perspective to (unbalanced) classification L Shi, H Zhen, G Zhang, J Yan Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
Causality Learning from Time Series Data for the Industrial Finance Analysis via the Multi-Dimensional Point Process. L Shi, P Lu, J Yan Intelligent Automation & Soft Computing 26 (5), 2020 | 6 | 2020 |
Double-Bounded Optimal Transport for Advanced Clustering and Classification L Shi, Z Shen, J Yan Association for the Advancement of Artificial Intelligence, 2024 | 3 | 2024 |
OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport L Shi, J Fan, J Yan Forty-first International Conference on Machine Learning, 2024 | 2 | 2024 |
Routing evidence for unseen actions in video moment retrieval G Wang, X Wu, Z Qin, L Shi Proceedings of the 30th ACM SIGKDD conference on knowledge discovery and …, 2024 | 1 | 2024 |
Adaptive Semi-Supervised Mixup with Implicit Label Learning and Sample Ratio Balancing Y Su, L Shi, Z Feng, P Chu, J Yan 2023 IEEE International Conference on Image Processing (ICIP), 430-434, 2023 | | 2023 |