| Coda: A real-world road corner case dataset for object detection in autonomous driving K Li, K Chen, H Wang, L Hong, C Ye, J Han, Y Chen, W Zhang, C Xu, ... European Conference on Computer Vision, 406-423, 2022 | 94 | 2022 |
| Unsupervised learning for combinatorial optimization with principled objective relaxation HP Wang, N Wu, H Yang, C Hao, P Li Advances in Neural Information Processing Systems 35, 31444-31458, 2022 | 33 | 2022 |
| Skeleton sequence and RGB frame based multi-modality feature fusion network for action recognition X Zhu, Y Zhu, H Wang, H Wen, Y Yan, P Liu ACM Transactions on Multimedia Computing, Communications, and Applications …, 2022 | 31 | 2022 |
| Unsupervised learning for combinatorial optimization needs meta-learning H Wang, P Li International Conference on Learning Representations (ICLR), 2023 | 14 | 2023 |
| Curriculum enhanced supervised attention network for person re-identification X Zhu, J Qian, H Wang, P Liu IEEE Signal Processing Letters 27, 1665-1669, 2020 | 14 | 2020 |
| Graph-based reasoning attention pooling with curriculum design for content-based image retrieval X Zhu, H Wang, P Liu, Z Yang, J Qian Image and Vision Computing 115, 104289, 2021 | 9 | 2021 |
| Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning E Chien, H Wang, Z Chen, P Li Advances in Neural Information Processing Systems (Neurips), 2024 | 8* | 2024 |
| Stochastic Gradient Langevin Unlearning E Chien, H Wang, Z Chen, P Li Advances in Neural Information Processing Systems (Neurips), 2024 | 5 | 2024 |
| On the inherent privacy properties of discrete denoising diffusion models R Wei, E Kreačić, H Wang, H Yin, E Chien, VK Potluru, P Li Transactions on Machine Learning Research (TMLR). 2024., 2023 | 3 | 2023 |
| DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee H Wang, J Liu, X Chen, X Wang, P Li, W Yin Transactions on Machine Learning Research (TMLR). 2024., 2023 | 2 | 2023 |
