Arbitrary style transfer with deep feature reshuffle S Gu, C Chen, J Liao, L Yuan Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 198 | 2018 |
Adam can converge without any modification on update rules Y Zhang, C Chen, N Shi, R Sun, ZQ Luo Advances in neural information processing systems 35, 28386-28399, 2022 | 61 | 2022 |
Quantized adam with error feedback C Chen, L Shen, H Huang, W Liu ACM Transactions on Intelligent Systems and Technology (TIST) 12 (5), 1-26, 2021 | 31 | 2021 |
Towards practical adam: Non-convexity, convergence theory, and mini-batch acceleration C Chen, L Shen, F Zou, W Liu Journal of Machine Learning Research 23 (229), 1-47, 2022 | 28 | 2022 |
Communication efficient primal-dual algorithm for nonconvex nonsmooth distributed optimization C Chen, J Zhang, L Shen, P Zhao, Z Luo International conference on artificial intelligence and statistics, 1594-1602, 2021 | 15 | 2021 |
A unified analysis of AdaGrad with weighted aggregation and momentum acceleration L Shen, C Chen, F Zou, Z Jie, J Sun, W Liu IEEE Transactions on Neural Networks and Learning Systems, 2023 | 12 | 2023 |
Efficient-Adam: Communication-efficient distributed Adam with complexity analysis C Chen, L Shen, W Liu, ZQ Luo arXiv preprint arXiv:2205.14473, 2022 | 11 | 2022 |
Why transformers need adam: A hessian perspective Y Zhang, C Chen, T Ding, Z Li, R Sun, ZQ Luo arXiv preprint arXiv:2402.16788, 2024 | 7 | 2024 |
A semi-automatic editing method for surgery videos Z Fan, C Chen, T Jiang 2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW …, 2017 | 6 | 2017 |
Efficient-Adam: Communication-Efficient Distributed Adam C Chen, L Shen, W Liu, ZQ Luo IEEE Transactions on Signal Processing, 2023 | 3 | 2023 |
Adam-mini: Use Fewer Learning Rates To Gain More Y Zhang, C Chen, Z Li, T Ding, C Wu, Y Ye, ZQ Luo, R Sun arXiv preprint arXiv:2406.16793, 2024 | 1 | 2024 |
Exploring the Generalization Capabilities of AID-based Bi-level Optimization C Chen, L Shen, W Liu, ZQ Luo, P Zhao | | |