Scalable Gaussian Process Using Inexact Admm for Big Data. - Yue Xu; Feng Yin; Jiawei Zhang 007; Wenjun Xu 001; Shuguang Cui; Zhi-Quan Luo (ICASSP, 2019)

A General O(n2) Hyper-Parameter Optimization for Gaussian Process Regression with Cross-Validation and Non-linearly Constrained ADMM. - Linning Xu; Feng Yin; Jiawei Zhang 007; Zhi-Quan Luo; Shuguang Cui (CoRR, 2019)

A Binary Regression Adaptive Goodness-of-fit Test (BAGofT). - Jiawei Zhang 007; Jie Ding 002; Yuhong Yang 002 (CoRR, 2019)

A Proximal Dual Consensus Method for Linearly Coupled Multi-Agent Non-Convex Optimization. - Jiawei Zhang 007; Songyang Ge; Tsung-Hui Chang; Zhi-Quan Luo (ICASSP, 2020)

Exact O(N2) Hyper-Parameter Optimization for Gaussian Process Regression. - Linning Xu; Yijue Dai; Jiawei Zhang 007; Ceyao Zhang; Feng Yin (MLSP, 2020)

A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems. - Jiawei Zhang 007; Peijun Xiao; Ruoyu Sun 001; Zhi-Quan Luo (NeurIPS, 2020)

A Proximal Alternating Direction Method of Multiplier for Linearly Constrained Nonconvex Minimization. - Jiawei Zhang 007; Zhi-Quan Luo (SIAM J. Optim., 2020)

Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization. - Congliang Chen; Jiawei Zhang 007; Li Shen 005; Peilin Zhao; Zhi-Quan Luo (AISTATS, 2021)

When Expressivity Meets Trainability: Fewer than $n$ Neurons Can Work. - Jiawei Zhang 007; Yushun Zhang; Mingyi Hong 001; Ruoyu Sun 001; Zhi-Quan Luo (NeurIPS, 2021)

Decentralized Non-Convex Learning with Linearly Coupled Constraints. - Jiawei Zhang 007; Songyang Ge; Tsung-Hui Chang; Zhi-Quan Luo (CoRR, 2021)

Targeted Cross-Validation. - Jiawei Zhang 007; Jie Ding 002; Yuhong Yang 002 (CoRR, 2021)

Distributed Stochastic Consensus Optimization With Momentum for Nonconvex Nonsmooth Problems. - Zhiguo Wang 005; Jiawei Zhang 007; Tsung-Hui Chang; Jian Li 001; Zhi-Quan Luo (IEEE Trans. Signal Process., 2021)

What is a Good Metric to Study Generalization of Minimax Learners? - Asuman E. Ozdaglar; Sarath Pattathil; Jiawei Zhang 007; Kaiqing Zhang (NeurIPS, 2022)

Parallel Assisted Learning. - Xinran Wang; Jiawei Zhang 007; Mingyi Hong 001; Yuhong Yang 002; Jie Ding 002 (IEEE Trans. Signal Process., 2022)

Decentralized Non-Convex Learning With Linearly Coupled Constraints: Algorithm Designs and Application to Vertical Learning Problem. - Jiawei Zhang 007; Songyang Ge; Tsung-Hui Chang; Zhi-Quan Luo (IEEE Trans. Signal Process., 2022)

A Global Dual Error Bound and Its Application to the Analysis of Linearly Constrained Nonconvex Optimization. - Jiawei Zhang 007; Zhi-Quan Luo (SIAM J. Optim., 2022)

Pruning Deep Neural Networks from a Sparsity Perspective. - Enmao Diao; Ganghua Wang; Jiawei Zhang 007; Yuhong Yang 002; Jie Ding 002; Vahid Tarokh (ICLR, 2023)

Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach. - Prashant Khanduri; Ioannis C. Tsaknakis; Yihua Zhang; Jia Liu 002; Sijia Liu 001; Jiawei Zhang 007; Mingyi Hong 001 (ICML, 2023)

Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation. - Asuman E. Ozdaglar; Sarath Pattathil; Jiawei Zhang 007; Kaiqing Zhang (ICML, 2023)

Assisted Unsupervised Domain Adaptation. - Cheng Chen; Jiawei Zhang 007; Jie Ding 002; Yi Zhou 017 (ISIT, 2023)

A Smoothed Bregman Proximal Gradient Algorithm for Decentralized Nonconvex Optimization. - Wenqiang Pu; Jiawei Zhang 007; Rui Zhou; Xiao Fu 001; Mingyi Hong 001 (ICASSP, 2024)

A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback. - Kihyun Kim 001; Jiawei Zhang 007; Asuman E. Ozdaglar; Pablo A. Parrilo (ICML, 2024)

Uniformly Stable Algorithms for Adversarial Training and Beyond. - Jiancong Xiao; Jiawei Zhang 007; Zhi-Quan Luo; Asuman E. Ozdaglar (ICML, 2024)

Additive-Effect Assisted Learning. - Jiawei Zhang 007; Yuhong Yang 002; Jie Ding 002 (CoRR, 2024)

Drift to Remember. - Jin Du; Xinhe Zhang; Hao Shen; Xun Xian; Ganghua Wang; Jiawei Zhang 007; Yuhong Yang 002; Na Li 002; Jia Liu 002; Jie Ding 002 (CoRR, 2024)

Beamforming Optimization for Robust Sensing and Communication in Dynamic mmWave MIMO Networks. - Lei Li 030; Jiawei Zhang 007; Tsung-Hui Chang (IEEE J. Sel. Areas Commun., 2025)

Population-Proportional Preference Learning from Human Feedback: An Axiomatic Approach. - Kihyun Kim 001; Jiawei Zhang 007; Asuman E. Ozdaglar; Pablo A. Parrilo (CoRR, 2025)