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
288 2020 Towards Efficient and Scalable Sharpness-Aware Minimization Y Liu, S Mai, X Chen, CJ Hsieh, Y You
CVPR 2022, 2022
147 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
128 2020 Go wider instead of deeper F Xue, Z Shi, F Wei, Y Lou, Y Liu, Y You
AAAI 2022, 2021
79 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
48 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
44 2019 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
30 2022 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
22 2023 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
20 2021 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
16 2024 Concurrent Adversarial Learning for Large-Batch Training Y Liu, X Chen, M Cheng, CJ Hsieh, Y You
ICLR 2022, 2022
12 2022 Joint Evidential C Gong, Y Li, Y Liu, P Wang, Y You
2022 IEEE 38th International Conference on Data Engineering (ICDE), 2113-2126, 2022
7 2022 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
7 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 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 Web Conference 2024, 3485-3496, 2024
2024