Publications

Jiancong Xiao, Jiawei Zhang, Zhi-Quan Luo, Asuman Ozdaglar (Jiancong Xiao and Jiawei Zhang are the first authors) (2024). Uniformly Stable Algorithms for Adversarial Training and Beyond. International Conference on Machine Learning (ICML 2024).

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Kihyun Kim, Jiawei Zhang, Pablo Parrilo, Asuman E. Ozdaglar (Kihyun Kim and Jiawei Zhang are the first authors) (2024). A Unified Linear Programming Framework for Reward Learning with Offline Human Behavior and Feedback Data. International Conference on Machine Learning (ICML 2024).

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Wei Shen, Minhui Huang, Jiawei Zhang, Cong Shen (2024). Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization. International Conference on Artificial Intelligence and Statistics (AISTATS 2024).

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Asuman Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang (Authors are listed in alphabetical order and contribute equally) (2023). The Power of Duality Principle in Offline Average-Reward Reinforcement Learning. International Conference on Machine Learning Workshop on Duality for Modern Machine Learning (ICML 2023 Workshop).

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Asuman Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang (Authors are listed in alphabetical order and Jiawei Zhang is the corresponding author) (2023). Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation. International Conference on Machine Learning (ICML 2023).

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Prashant Khanduri, Ioannis Tsaknakis, Yihua Zhang, Jia Liu, Sijia Liu, Jiawei Zhang, Mingyi Hong (2023). Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach. International Conference on Machine Learning (ICML 2023).

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Asuman Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang (Authors are listed in alphabetical order and Jiawei Zhang is the corresponding author) (2022). What is a Good Metric to Study Generalization of Minimax Learners?. Advances in Neural Information Processing Systems 35 (NeurIPS 2022).

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Jiawei Zhang, Songyang Ge, Tsung-Hui Chang, Zhi-Quan Luo (2022). Decentralized Non-Convex Learning With Linearly Coupled Constraints: Algorithm Designs and Application to Vertical Learning Problem. IEEE Transactions on Signal Processing.

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Jiawei Zhang, Zhi-Quan Luo (2022). A Global Dual Error Bound and Its Application to the Analysis of Linearly Constrained Nonconvex Optimization. SIAM Journal on Optimization.

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Jiawei Zhang, Yushun Zhang, Mingyi Hong, Ruoyu Sun, Zhi-Quan Luo (2021). When Expressivity Meets Trainability: Fewer than $n$ Neurons Can Work. Advances in Neural Information Processing Systems 34 (NeurIPS 2021).

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Zhiguo Wang, Jiawei Zhang, Tsung-Hui Chang, Jian Li, Zhi-Quan Luo (2021). Distributed Stochastic Consensus Optimization With Momentum for Nonconvex Nonsmooth Problems. IEEE Transactions on Signal Processing.

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Congliang Chen, Jiawei Zhang, Li Shen, Peilin Zhao, Zhiquan Luo (2021). Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization. International Conference on Artificial Intelligence and Statistics (AISTATS 2021).

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Jiawei Zhang, Peijun Xiao, Ruoyu Sun, Zhiquan Luo (2020). A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems. Advances in Neural Information Processing Systems 33 (NeurIPS 2020).

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Jiawei Zhang, Songyang Ge, Tsung-Hui Chang, Zhi-Quan Luo (2020). A Proximal Dual Consensus Method for Linearly Coupled Multi-Agent Non-Convex Optimization. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2020).

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Jiawei Zhang, Zhi-Quan Luo (2020). A Proximal Alternating Direction Method of Multiplier for Linearly Constrained Nonconvex Minimization. SIAM Journal on Optimization.

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Yue Xu, Feng Yin, Jiawei Zhang, Wenjun Xu, Shuguang Cui, Zhi-Quan Luo (2019). Scalable Gaussian Process Using Inexact ADMM for Big Data. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019).

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Wenye Li, Jiawei Zhang, Jianjun Zhou, Laizhong Cui (2018). Learning Word Vectors with Linear Constraints: A Matrix Factorization Approach. International Joint Conference on Artificial Intelligence (IJCAI-18).

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