Congliang Chen

29 papers A* 5A 1Journal 20Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adam Converges Without Any Modification On Update Rules.
CoRR
Yushun Zhang, Bingran Li, Congliang Chen, Zhi-Quan Luo, Ruoyu Sun
2026 J jnl
Off-Policy Value-Based Reinforcement Learning for Large Language Models.
CoRR
Peng-Yuan Wang, Ziniu Li, Tian Xu, Bohan Yang, Tian-Shuo Liu, Chenyang Wang, Xiong-Hui Chen, Yi-Chen Li, Tianyun Yang, Congliang Chen, Yang Yu
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
AdaGC: Improving Training Stability for Large Language Model Pretraining.
CoRR
Guoxia Wang, Shuai Li, Congliang Chen, Jinle Zeng, Jiabin Yang, Tao Sun, Yanjun Ma, Dianhai Yu, Li Shen
2025 A* conf
Adam-mini: Use Fewer Learning Rates To Gain More.
ICLR
Yushun Zhang, Congliang Chen, Ziniu Li, Tian Ding, Chenwei Wu, Diederik P. Kingma, Yinyu Ye, Zhi-Quan Luo, Ruoyu Sun
2025 J jnl
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation.
CoRR
Ziniu Li, Congliang Chen, Tianyun Yang, Tian Ding, Ruoyu Sun, Ge Zhang, Wenhao Huang, Zhi-Quan Luo
2025 J jnl
ORGEval: Graph-Theoretic Evaluation of LLMs in Optimization Modeling.
CoRR
Zhuohan Wang, Ziwei Zhu, Ziniu Li, Congliang Chen, Yizhou Han, Yufeng Lin, Zhihang Lin, Angyang Gu, Xinglin Hu, Ruoyu Sun, Tian Ding
2025 A* conf
Preserving Diversity in Supervised Fine-Tuning of Large Language Models.
ICLR
Ziniu Li, Congliang Chen, Tian Xu, Zeyu Qin, Jiancong Xiao, Zhi-Quan Luo, Ruoyu Sun
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
A Unified Analysis of AdaGrad With Weighted Aggregation and Momentum Acceleration.
IEEE Trans. Neural Networks Learn. Syst.
Li Shen, Congliang Chen, Fangyu Zou, Zequn Jie, Ju Sun, Wei Liu
2024 J jnl
Adam-mini: Use Fewer Learning Rates To Gain More.
CoRR
Yushun Zhang, Congliang Chen, Ziniu Li, Tian Ding, Chenwei Wu, Yinyu Ye, Zhi-Quan Luo, Ruoyu Sun
2024 J jnl
Entropic Distribution Matching in Supervised Fine-tuning of LLMs: Less Overfitting and Better Diversity.
CoRR
Ziniu Li, Congliang Chen, Tian Xu, Zeyu Qin, Jiancong Xiao, Ruoyu Sun, Zhi-Quan Luo
2024 J jnl
Exploring the Generalization Capabilities of AID-based Bi-level Optimization.
CoRR
Congliang Chen, Li Shen, Zhiqiang Xu, Wei Liu, Zhi-Quan Luo, Peilin Zhao
2024 — conf
Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimization.
EMNLP (Findings)
Heshen Zhan, Congliang Chen, Tian Ding, Ziniu Li, Ruoyu Sun
2024 A* conf
Why Transformers Need Adam: A Hessian Perspective.
NeurIPS
Yushun Zhang, Congliang Chen, Tian Ding, Ziniu Li, Ruoyu Sun, Zhi-Quan Luo
2024 J jnl
Why Transformers Need Adam: A Hessian Perspective.
CoRR
Yushun Zhang, Congliang Chen, Tian Ding, Ziniu Li, Ruoyu Sun, Zhi-Quan Luo
2023 J jnl
Efficient-Adam: Communication-Efficient Distributed Adam.
IEEE Trans. Signal Process.
Congliang Chen, Li Shen, Wei Liu, Zhi-Quan Luo
2023 J jnl
Rethinking SIGN Training: Provable Nonconvex Acceleration without First- and Second-Order Gradient Lipschitz.
CoRR
Tao Sun, Congliang Chen, Peng Qiao, Li Shen, Xinwang Liu, Dongsheng Li
2022 A* conf
Adam Can Converge Without Any Modification On Update Rules.
NeurIPS
Yushun Zhang, Congliang Chen, Naichen Shi, Ruoyu Sun, Zhi-Quan Luo
2022 J jnl
Adam Can Converge Without Any Modification on Update Rules.
CoRR
Yushun Zhang, Congliang Chen, Naichen Shi, Ruoyu Sun, Zhi-Quan Luo
2022 J jnl
Efficient-Adam: Communication-Efficient Distributed Adam with Complexity Analysis.
CoRR
Congliang Chen, Li Shen, Wei Liu, Zhi-Quan Luo
2022 J jnl
Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration.
J. Mach. Learn. Res.
Congliang Chen, Li Shen, Fangyu Zou, Wei Liu
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
Quantized Adam with Error Feedback.
ACM Trans. Intell. Syst. Technol.
Congliang Chen, Li Shen, Hao-Zhi Huang, Wei Liu
2021 J jnl
Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration.
CoRR
Congliang Chen, Li Shen, Fangyu Zou, Wei Liu
2020 J jnl
Quantized Adam with Error Feedback.
CoRR
Congliang Chen, Li Shen, Haozhi Huang, Wei Liu
2018 A* conf
Arbitrary Style Transfer With Deep Feature Reshuffle.
CVPR
Shuyang Gu, Congliang Chen, Jing Liao, Lu Yuan
2018 J jnl
Arbitrary Style Transfer with Deep Feature Reshuffle.
CoRR
Shuyang Gu, Congliang Chen, Jing Liao, Lu Yuan
2017 — conf
A semi-automatic editing method for surgery videos.
ICME Workshops
Zhiwei Fan, Congliang Chen, Tingting Jiang