Deyi Liu - RankMe

15 papers A* 2Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SPARKLING: Balancing Signal Preservation and Symmetry Breaking for Width-Progressive Learning. CoRR Qifan Yu, Xinyu Ma, Zhijian Zhuo, Minrui Wang, Deyi Liu, Shiyi Zhan, Yiyuan Ma, Liang Xiang, Xingyan Bin, Di He
2025	J	`jnl`	Balanced Actor Initialization: Stable RLHF Training of Distillation-Based Reasoning Models. CoRR Chen Zheng, Yiyuan Ma, Yuan Yang, Deyi Liu, Jing Liu, Zuquan Song, Yuxin Song, Cheng Ren, Hang Zhu, Xin Liu, Siyuan Qiao, Xun Zhou, Liang Xiang, Yonghui Wu
2025	J	`jnl`	GatePro: Parameter-Free Expert Selection Optimization for Mixture-of-Experts Models. CoRR Chen Zheng, Yuhang Cai, Deyi Liu, Jin Ma, Yiyuan Ma, Yuan Yang, Jing Liu, Yutao Zeng, Xun Zhou, Siyuan Qiao
2025	J	`jnl`	Model Merging in Pre-training of Large Language Models. CoRR Yunshui Li, Yiyuan Ma, Shen Yan, Chaoyi Zhang, Jing Liu, Jianqiao Lu, Ziwen Xu, Mengzhao Chen, Minrui Wang, Shiyi Zhan, Jin Ma, Xunhao Lai, Deyi Liu, Yao Luo, Xingyan Bin, Hongbin Ren, Mingji Han, Wenhao Hao, Bairen Yi, Lingjun Liu, Bole Ma, Xiaoying Jia, Xun Zhou, Siyuan Qiao, Liang Xiang, Yonghui Wu
2023	J	`jnl`	A new randomized primal-dual algorithm for convex optimization with fast last iterate convergence rates. Optim. Methods Softw. Quoc Tran-Dinh, Deyi Liu
2022	J	`jnl`	A Newton Frank-Wolfe method for constrained self-concordant minimization. J. Glob. Optim. Deyi Liu, Volkan Cevher, Quoc Tran-Dinh
2022	—	`conf`	An application of an automation operation and maintenance tool design and application. RICAI Zhan Wu, Jundong Huang, Haohua Meng, Gang Li, Deyi Liu, Size Xiao
2022	—	`—`	Efficient and Provable Algorithms for Convex Optimization Problems Beyond Lipschitz Continuous Gradients. Deyi Liu
2022	J	`jnl`	New Primal-Dual Algorithms for a Class of Nonsmooth and Nonlinear Convex-Concave Minimax Problems. SIAM J. Optim. Yuzixuan Zhu, Deyi Liu, Quoc Tran-Dinh
2021	—	`conf`	Monitoring Method for Archival Data Change of Electrical Information Acquisition System Based On Data Middle Office and Its Application. AIAM (ACM) Weiqing Yao, Qiang Rao, Jiajun Yuan, Deyi Liu, Jie Xu
2021	A*	`conf`	Robust and Generalizable Visual Representation Learning via Random Convolutions. ICLR Zhenlin Xu, Deyi Liu, Junlin Yang, Colin Raffel, Marc Niethammer
2020	J	`jnl`	A Newton Frank-Wolfe Method for Constrained Self-Concordant Minimization. CoRR Deyi Liu, Volkan Cevher, Quoc Tran-Dinh
2020	J	`jnl`	An Inexact Interior-Point Lagrangian Decomposition Algorithm with Inexact Oracles. J. Optim. Theory Appl. Deyi Liu, Quoc Tran-Dinh
2020	A*	`conf`	Hybrid Variance-Reduced SGD Algorithms For Minimax Problems with Nonconvex-Linear Function. NeurIPS Quoc Tran-Dinh, Deyi Liu, Lam M. Nguyen
2020	J	`jnl`	Robust and Generalizable Visual Representation Learning via Random Convolutions. CoRR Zhenlin Xu, Deyi Liu, Junlin Yang, Marc Niethammer