Jiawei Zhang - RankMe

37 papers A* 9A 1B 1Misc 3Journal 22Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beamforming Optimization for Robust Sensing and Communication in Dynamic mmWave MIMO Networks. IEEE J. Sel. Areas Commun. Lei Li, Jiawei Zhang, Tsung-Hui Chang
2025	A*	`conf`	Contextual Optimization Under Model Misspecification: A Tractable and Generalizable Approach. ICML Omar Bennouna, Jiawei Zhang, Saurabh Amin, Asuman E. Ozdaglar
2025	J	`jnl`	Population-Proportional Preference Learning from Human Feedback: An Axiomatic Approach. CoRR Kihyun Kim, Jiawei Zhang, Asuman E. Ozdaglar, Pablo A. Parrilo
2025	J	`jnl`	Toward Unifying Group Fairness Evaluation from a Sparsity Perspective. CoRR Zhecheng Sheng, Jiawei Zhang, Enmao Diao
2024	Misc	`conf`	A Smoothed Bregman Proximal Gradient Algorithm for Decentralized Nonconvex Optimization. ICASSP Wenqiang Pu, Jiawei Zhang, Rui Zhou, Xiao Fu, Mingyi Hong
2024	A*	`conf`	A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback. ICML Kihyun Kim, Jiawei Zhang, Asuman E. Ozdaglar, Pablo A. Parrilo
2024	J	`jnl`	A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback. CoRR Kihyun Kim, Jiawei Zhang, Asuman E. Ozdaglar, Pablo A. Parrilo
2024	J	`jnl`	Additive-Effect Assisted Learning. CoRR Jiawei Zhang, Yuhong Yang, Jie Ding
2024	J	`jnl`	Drift to Remember. CoRR Jin Du, Xinhe Zhang, Hao Shen, Xun Xian, Ganghua Wang, Jiawei Zhang, Yuhong Yang, Na Li, Jia Liu, Jie Ding
2024	A*	`conf`	Uniformly Stable Algorithms for Adversarial Training and Beyond. ICML Jiancong Xiao, Jiawei Zhang, Zhi-Quan Luo, Asuman E. Ozdaglar
2024	J	`jnl`	Uniformly Stable Algorithms for Adversarial Training and Beyond. CoRR Jiancong Xiao, Jiawei Zhang, Zhi-Quan Luo, Asuman E. Ozdaglar
2023	B	`conf`	Assisted Unsupervised Domain Adaptation. ISIT Cheng Chen, Jiawei Zhang, Jie Ding, Yi Zhou
2023	A*	`conf`	Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach. ICML Prashant Khanduri, Ioannis C. Tsaknakis, Yihua Zhang, Jia Liu, Sijia Liu, Jiawei Zhang, Mingyi Hong
2023	A*	`conf`	Pruning Deep Neural Networks from a Sparsity Perspective. ICLR Enmao Diao, Ganghua Wang, Jiawei Zhang, Yuhong Yang, Jie Ding, Vahid Tarokh
2023	J	`jnl`	Pruning Deep Neural Networks from a Sparsity Perspective. CoRR Enmao Diao, Ganghua Wang, Jiawei Zhang, Yuhong Yang, Jie Ding, Vahid Tarokh
2023	A*	`conf`	Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation. ICML Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang
2022	J	`jnl`	A Global Dual Error Bound and Its Application to the Analysis of Linearly Constrained Nonconvex Optimization. SIAM J. Optim. Jiawei Zhang, Zhi-Quan Luo
2022	J	`jnl`	Decentralized Non-Convex Learning With Linearly Coupled Constraints: Algorithm Designs and Application to Vertical Learning Problem. IEEE Trans. Signal Process. Jiawei Zhang, Songyang Ge, Tsung-Hui Chang, Zhi-Quan Luo
2022	J	`jnl`	Parallel Assisted Learning. IEEE Trans. Signal Process. Xinran Wang, Jiawei Zhang, Mingyi Hong, Yuhong Yang, Jie Ding
2022	J	`jnl`	Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation. CoRR Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang
2022	A*	`conf`	What is a Good Metric to Study Generalization of Minimax Learners? NeurIPS Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang
2022	J	`jnl`	What is a Good Metric to Study Generalization of Minimax Learners? CoRR Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang
2022	J	`jnl`	When Expressivity Meets Trainability: Fewer than n Neurons Can Work. CoRR Jiawei Zhang, Yushun Zhang, Mingyi Hong, Ruoyu Sun, Zhi-Quan Luo
2021	A	`conf`	Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization. AISTATS Congliang Chen, Jiawei Zhang, Li Shen, Peilin Zhao, Zhi-Quan Luo
2021	J	`jnl`	Decentralized Non-Convex Learning with Linearly Coupled Constraints. CoRR Jiawei Zhang, Songyang Ge, Tsung-Hui Chang, Zhi-Quan Luo
2021	J	`jnl`	Distributed Stochastic Consensus Optimization With Momentum for Nonconvex Nonsmooth Problems. IEEE Trans. Signal Process. Zhiguo Wang, Jiawei Zhang, Tsung-Hui Chang, Jian Li, Zhi-Quan Luo
2021	J	`jnl`	Targeted Cross-Validation. CoRR Jiawei Zhang, Jie Ding, Yuhong Yang
2021	A*	`conf`	When Expressivity Meets Trainability: Fewer than $n$ Neurons Can Work. NeurIPS Jiawei Zhang, Yushun Zhang, Mingyi Hong, Ruoyu Sun, Zhi-Quan Luo
2020	J	`jnl`	A Proximal Alternating Direction Method of Multiplier for Linearly Constrained Nonconvex Minimization. SIAM J. Optim. Jiawei Zhang, Zhi-Quan Luo
2020	Misc	`conf`	A Proximal Dual Consensus Method for Linearly Coupled Multi-Agent Non-Convex Optimization. ICASSP Jiawei Zhang, Songyang Ge, Tsung-Hui Chang, Zhi-Quan Luo
2020	A*	`conf`	A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems. NeurIPS Jiawei Zhang, Peijun Xiao, Ruoyu Sun, Zhi-Quan Luo
2020	J	`jnl`	A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems. CoRR Jiawei Zhang, Peijun Xiao, Ruoyu Sun, Zhi-Quan Luo
2020	J	`jnl`	Distributed Stochastic Consensus Optimization with Momentum for Nonconvex Nonsmooth Problems. CoRR Zhiguo Wang, Jiawei Zhang, Tsung-Hui Chang, Jian Li, Zhi-Quan Luo
2020	—	`conf`	Exact O(N MLSP Linning Xu, Yijue Dai, Jiawei Zhang, Ceyao Zhang, Feng Yin
2019	J	`jnl`	A Binary Regression Adaptive Goodness-of-fit Test (BAGofT). CoRR Jiawei Zhang, Jie Ding, Yuhong Yang
2019	J	`jnl`	A General O(n CoRR Linning Xu, Feng Yin, Jiawei Zhang, Zhi-Quan Luo, Shuguang Cui
2019	Misc	`conf`	Scalable Gaussian Process Using Inexact Admm for Big Data. ICASSP Yue Xu, Feng Yin, Jiawei Zhang, Wenjun Xu, Shuguang Cui, Zhi-Quan Luo