Nodeformer: A scalable graph structure learning transformer for node classification Q Wu, W Zhao, Z Li, DP Wipf, J Yan Advances in Neural Information Processing Systems 35, 27387-27401, 2022 | 176 | 2022 |
Graphde: A generative framework for debiased learning and out-of-distribution detection on graphs Z Li, Q Wu, F Nie, J Yan Advances in Neural Information Processing Systems 35, 30277-30290, 2022 | 36 | 2022 |
On collective robustness of bagging against data poisoning R Chen, Z Li, J Li, J Yan, C Wu International Conference on Machine Learning, 3299-3319, 2022 | 21 | 2022 |
Roco: A general framework for evaluating robustness of combinatorial optimization solvers on graphs H Lu, Z Li, R Wang, Q Ren, X Li, M Yuan, J Zeng, X Yang, J Yan The Eleventh International Conference on Learning Representations, 2023 | 14 | 2023 |
Boosting offline reinforcement learning for autonomous driving with hierarchical latent skills Z Li, F Nie, Q Sun, F Da, H Zhao 2024 IEEE International Conference on Robotics and Automation (ICRA), 18362 …, 2024 | 3 | 2024 |
Mind your solver! on adversarial attack and defense for combinatorial optimization H Lu, Z Li, R Wang, Q Ren, J Yan, Z Hua, G Liu, JUN ZHOU, X Yang | 3 | 2021 |
Uncertainty-Aware Decision Transformer for Stochastic Driving Environments Z Li, F Nie, Q Sun, F Da, H Zhao arXiv preprint arXiv:2309.16397, 2023 | 1 | 2023 |