Junchi Yang - RankMe

22 papers A* 6A 3Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives. EACL (Findings) Yajiao Liu, Congliang Chen, Junchi Yang, Ruoyu Sun
2025	J	`jnl`	From GPUs to RRAMs: Distributed In-Memory Primal-Dual Hybrid Gradient Method for Solving Large-Scale Linear Optimization Problem. CoRR Huynh Quang Nguyen Vo, Md Tawsif Rahman Chowdhury, Paritosh Ramanan, Gozde Tutuncuoglu, Junchi Yang, Feng Qiu, Murat Yildirim
2025	J	`jnl`	Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New Perspectives. CoRR Yajiao Liu, Congliang Chen, Junchi Yang, Ruoyu Sun
2024	J	`jnl`	Accelerating Distributed Optimization: A Primal-Dual Perspective on Local Steps. CoRR Junchi Yang, Murat Yildirim, Qiu Feng
2024	A	`conf`	Parameter-Agnostic Optimization under Relaxed Smoothness. AISTATS Florian Hübler, Junchi Yang, Xiang Li, Niao He
2023	A*	`conf`	Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization. NeurIPS Liang Zhang, Junchi Yang, Amin Karbasi, Niao He
2023	J	`jnl`	Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization. CoRR Liang Zhang, Junchi Yang, Amin Karbasi, Niao He
2023	J	`jnl`	Parameter-Agnostic Optimization under Relaxed Smoothness. CoRR Florian Hübler, Junchi Yang, Xiang Li, Niao He
2023	A*	`conf`	TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization. ICLR Xiang Li, Junchi Yang, Niao He
2023	—	`—`	Towards Near-Optimal and Adaptive Algorithms in Minimax Optimization. Junchi Yang
2023	A*	`conf`	Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods. NeurIPS Junchi Yang, Xiang Li, Ilyas Fatkhullin, Niao He
2023	J	`jnl`	Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods. CoRR Junchi Yang, Xiang Li, Ilyas Fatkhullin, Niao He
2022	A	`conf`	Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity. AISTATS Junchi Yang, Antonio Orvieto, Aurélien Lucchi, Niao He
2022	A*	`conf`	Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization. NeurIPS Junchi Yang, Xiang Li, Niao He
2022	J	`jnl`	Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization. CoRR Junchi Yang, Xiang Li, Niao He
2022	J	`jnl`	TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization. CoRR Xiang Li, Junchi Yang, Niao He
2021	J	`jnl`	Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity. CoRR Junchi Yang, Antonio Orvieto, Aurélien Lucchi, Niao He
2021	J	`jnl`	The Complexity of Nonconvex-Strongly-Concave Minimax Optimization. CoRR Siqi Zhang, Junchi Yang, Cristóbal Guzmán, Negar Kiyavash, Niao He
2021	A	`conf`	The complexity of nonconvex-strongly-concave minimax optimization. UAI Siqi Zhang, Junchi Yang, Cristóbal Guzmán, Negar Kiyavash, Niao He
2020	A*	`conf`	A Catalyst Framework for Minimax Optimization. NeurIPS Junchi Yang, Siqi Zhang, Negar Kiyavash, Niao He
2020	A*	`conf`	Global Convergence and Variance Reduction for a Class of Nonconvex-Nonconcave Minimax Problems. NeurIPS Junchi Yang, Negar Kiyavash, Niao He
2020	J	`jnl`	Global Convergence and Variance-Reduced Optimization for a Class of Nonconvex-Nonconcave Minimax Problems. CoRR Junchi Yang, Negar Kiyavash, Niao He