| Multi-agent game abstraction via graph attention neural network Y Liu, W Wang, Y Hu, J Hao, X Chen, Y Gao Proceedings of the AAAI conference on artificial intelligence 34 (05), 7211-7218, 2020 | 232 | 2020 |
| Towards Efficient and Scalable Sharpness-Aware Minimization Y Liu, S Mai, X Chen, CJ Hsieh, Y You CVPR 2022, 2022 | 110 | 2022 |
| From few to more: Large-scale dynamic multiagent curriculum learning W Wang, T Yang, Y Liu, J Hao, X Hao, Y Hu, Y Chen, C Fan, Y Gao Proceedings of the AAAI conference on artificial intelligence 34 (05), 7293-7300, 2020 | 110 | 2020 |
| Go wider instead of deeper F Xue, Z Shi, F Wei, Y Lou, Y Liu, Y You AAAI 2022, 2021 | 63 | 2021 |
| Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns. Y Liu, Y Hu, Y Gao, Y Chen, C Fan IJCAI, 457-463, 2019 | 41 | 2019 |
| Action semantics network: Considering the effects of actions in multiagent systems W Wang, T Yang, Y Liu, J Hao, X Hao, Y Hu, Y Chen, C Fan, Y Gao ICLR 2020, 2019 | 32 | 2019 |
| A quantitative metric for privacy leakage in federated learning Y Liu, X Zhu, J Wang, J Xiao ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 17 | 2021 |
| An evidential multi-target domain adaptation method based on weighted fusion for cross-domain pattern classification L Huang, W Zhao, Y Liu, D Yang, AWC Liew, Y You IEEE Transactions on Neural Networks and Learning Systems, 2023 | 14 | 2023 |
| Random sharpness-aware minimization Y Liu, S Mai, M Cheng, X Chen, CJ Hsieh, Y You Advances in Neural Information Processing Systems 35, 24543-24556, 2022 | 14 | 2022 |
| Concurrent Adversarial Learning for Large-Batch Training Y Liu, X Chen, M Cheng, CJ Hsieh, Y You ICLR 2022, 2022 | 12 | 2022 |
| Joint Evidential -Nearest Neighbor Classification C Gong, Y Li, Y Liu, P Wang, Y You 2022 IEEE 38th International Conference on Data Engineering (ICDE), 2113-2126, 2022 | 6 | 2022 |
| Automatic data augmentation by learning the deterministic policy Y Shi, T Qin, Y Liu, J Lu, Y Gao, D Shen arXiv preprint arXiv:1910.08343, 2019 | 6 | 2019 |
| Self-reconstructive evidential clustering for high-dimensional data C Gong, Y Li, D Fu, Y Liu, P Wang, Y You 2022 IEEE 38th International Conference on Data Engineering (ICDE), 2099-2112, 2022 | 5 | 2022 |
| Sparse mezo: Less parameters for better performance in zeroth-order llm fine-tuning Y Liu, Z Zhu, C Gong, M Cheng, CJ Hsieh, Y You arXiv preprint arXiv:2402.15751, 2024 | 2 | 2024 |
| ASN: action semantics network for multiagent reinforcement learning T Yang, W Wang, J Hao, ME Taylor, Y Liu, X Hao, Y Hu, Y Chen, C Fan, ... Autonomous Agents and Multi-Agent Systems 37 (2), 45, 2023 | 2 | 2023 |
| Sharpness-aware minimization in large-batch training: Training vision transformer in minutes Y Liu, S Mai, X Chen, CJ Hsieh, Y You | 2 | 2021 |
| Reinforcement learning from algorithm model to industry innovation: A foundation stone of future artificial intelligence S Dong, J Chen, Y Liu, T Bao, Y Gao ZTE communications 17 (3), 31, 2019 | 2 | 2019 |
| Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization Z Zhu, Y Liu, Z Zheng, H Guo, Y You Proceedings of the ACM on Web Conference 2024, 3485-3496, 2024 | | 2024 |
