| Adaptive gradient methods with dynamic bound of learning rate L Luo*, Y Xiong*, Y Liu, X Sun arXiv preprint arXiv:1902.09843, 2019 | 776 | 2019 |
| Toward a thousand lights: Decentralized deep reinforcement learning for large-scale traffic signal control HW Chacha Chen, N Xu, G Zheng, M Yang, Y Xiong, K Xu, Z Li Proceedings of the thirty-fourth AAAI conference on artificial intelligence …, 2020 | 349* | 2020 |
| Learning phase competition for traffic signal control G Zheng, Y Xiong, X Zang, J Feng, H Wei, H Zhang, Y Li, K Xu, Z Li Proceedings of the 28th ACM international conference on information and …, 2019 | 229 | 2019 |
| Deep neural networks for linear sum assignment problems M Lee, Y Xiong, G Yu, GY Li IEEE Wireless Communications Letters 7 (6), 962-965, 2018 | 86 | 2018 |
| Feddm: Iterative distribution matching for communication-efficient federated learning Y Xiong, R Wang, M Cheng, F Yu, CJ Hsieh Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 81 | 2023 |
| Learning traffic signal control from demonstrations Y Xiong, G Zheng, K Xu, Z Li Proceedings of the 28th ACM international conference on information and …, 2019 | 66 | 2019 |
| Improved adversarial training via learned optimizer Y Xiong, CJ Hsieh Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 25 | 2020 |
| Extreme zero-shot learning for extreme text classification Y Xiong, WC Chang, CJ Hsieh, HF Yu, I Dhillon arXiv preprint arXiv:2112.08652, 2021 | 20 | 2021 |
| Learning to schedule learning rate with graph neural networks Y Xiong, LC Lan, X Chen, R Wang, CJ Hsieh International conference on learning representation (ICLR), 2022 | 16 | 2022 |
| Learning to learn by zeroth-order oracle Y Ruan, Y Xiong, S Reddi, S Kumar, CJ Hsieh arXiv preprint arXiv:1910.09464, 2019 | 16 | 2019 |
| Training meta-surrogate model for transferable adversarial attack Y Qin, Y Xiong, J Yi, CJ Hsieh Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9516-9524, 2023 | 15 | 2023 |
| Efficient non-parametric optimizer search for diverse tasks R Wang, Y Xiong, M Cheng, CJ Hsieh Advances in Neural Information Processing Systems 35, 30554-30568, 2022 | 7 | 2022 |
| Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding Y Xiong, L Zhao, B Gong, MH Yang, F Schroff, T Liu, CJ Hsieh, L Yuan arXiv preprint arXiv:2303.16341, 2023 | 4* | 2023 |
| Adversarial Attack across Datasets Y Qin, Y Xiong, J Yi, L Cao, CJ Hsieh arXiv preprint arXiv:2110.07718, 2021 | 3 | 2021 |
| How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers Y Xiong, X Liu, LC Lan, Y You, S Si, CJ Hsieh arXiv preprint arXiv:2010.09889, 2020 | 1 | 2020 |
| Ameliorate Spurious Correlations in Dataset Condensation J Cui, R Wang, Y Xiong, CJ Hsieh arXiv preprint arXiv:2406.06609, 2024 | | 2024 |
| Learning to Learn with Smooth Regularization Y Xiong, CJ Hsieh European Conference on Computer Vision, 550-565, 2022 | | 2022 |
| MITIGATING BIAS IN DATASET DISTILLATION J Cui, R Wang, Y Xiong, CJ Hsieh | | |
Cho-Jui HsiehUniversity of California, Los AngelesVerified email at cs.ucla.edu
