| A single-loop smoothed gradient descent-ascent algorithm for nonconvex-concave min-max problems J Zhang, P Xiao, R Sun, Z Luo Advances in neural information processing systems 33, 7377-7389, 2020 | 122 | 2020 |
| A proximal alternating direction method of multiplier for linearly constrained nonconvex minimization J Zhang, ZQ Luo SIAM Journal on Optimization 30 (3), 2272-2302, 2020 | 96 | 2020 |
| A global dual error bound and its application to the analysis of linearly constrained nonconvex optimization J Zhang, ZQ Luo SIAM Journal on Optimization 32 (3), 2319-2346, 2022 | 45 | 2022 |
| Distributed stochastic consensus optimization with momentum for nonconvex nonsmooth problems Z Wang, J Zhang, TH Chang, J Li, ZQ Luo IEEE Transactions on Signal Processing 69, 4486-4501, 2021 | 40 | 2021 |
| Revisiting the linear-programming framework for offline rl with general function approximation AE Ozdaglar, S Pattathil, J Zhang, K Zhang International Conference on Machine Learning, 26769-26791, 2023 | 26 | 2023 |
| Linearly constrained bilevel optimization: A smoothed implicit gradient approach P Khanduri, I Tsaknakis, Y Zhang, J Liu, S Liu, J Zhang, M Hong International Conference on Machine Learning, 16291-16325, 2023 | 20 | 2023 |
| What is a good metric to study generalization of minimax learners? A Ozdaglar, S Pattathil, J Zhang, K Zhang Advances in Neural Information Processing Systems 35, 38190-38203, 2022 | 16 | 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 | 16 | 2021 |
| Decentralized non-convex learning with linearly coupled constraints: Algorithm designs and application to vertical learning problem J Zhang, S Ge, TH Chang, ZQ Luo IEEE Transactions on Signal Processing 70, 3312-3327, 2022 | 14* | 2022 |
| When Expressivity Meets Trainability: Fewer than Neurons Can Work J Zhang, Y Zhang, M Hong, R Sun, ZQ Luo Advances in Neural Information Processing Systems 34, 9167-9180, 2021 | 13 | 2021 |
| On the iteration complexity of smoothed proximal alm for nonconvex optimization problem with convex constraints J Zhang, W Pu, ZQ Luo arXiv preprint arXiv:2207.06304, 2022 | 12 | 2022 |
| Uniformly Stable Algorithms for Adversarial Training and Beyond J Xiao, J Zhang, ZQ Luo, A Ozdaglar ICML2024, 2024 | 8* | 2024 |
| Characterization of SINR region for multi-cell downlink NOMA systems X Zhang, Y Chen, J Zhang, Y Lei, C Shen, G Zhu ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 5 | 2019 |
| Exact O(N2) Hyper-Parameter Optimization for Gaussian Process Regression L Xu, Y Dai, J Zhang, C Zhang, F Yin 2020 IEEE 30th International Workshop on Machine Learning for Signal …, 2020 | 4 | 2020 |
| Addressing misspecification in contextual optimization O Bennouna, J Zhang, S Amin, A Ozdaglar arXiv preprint arXiv:2409.10479, 2024 | 2 | 2024 |
| A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback K Kim, J Zhang, PA Parrilo, A Ozdaglar ICML2024, 2024 | 1 | 2024 |
| Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization W Shen, M Huang, J Zhang, C Shen International Conference on Artificial Intelligence and Statistics, 3988-3996, 2024 | | 2024 |
| The Power of Duality Principle in Offline Average-Reward Reinforcement Learning A Ozdaglar, S Pattathil, J Zhang, K Zhang | | |
Zhi-Quan LuoProfessor, The Chinese University of Hong Kong, Shenzhen, ChinaVerified email at cuhk.edu.cn
