Li, Yujun

7 publications

ICLR 2026 Can Language Models Discover Scaling Laws? Haowei Lin, Haotian Ye, Wenzheng Feng, Quzhe Huang, Yujun Li, Hubert Lim, Zhengrui Li, Xiangyu Wang, Jianzhu Ma, Yitao Liang, James Zou

AAAI 2025 Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model Yujun Li, Hongyuan Zhang, Yuan Yuan

ICML 2025 Flat-LoRA: Low-Rank Adaptation over a Flat Loss Landscape Tao Li, Zhengbao He, Yujun Li, Yasheng Wang, Lifeng Shang, Xiaolin Huang

NeurIPS 2025 RidgeLoRA: Matrix Ridge Enhanced Low-Rank Adaptation of Large Language Models Junda Zhu, Jun Ai, Yujun Li, Yichun Yin, Yasheng Wang, Lifeng Shang, Qun Liu

NeurIPSW 2024 Flat-LoRA: Low-Rank Adaption over a Flat Loss Landscape Tao Li, Zhengbao He, Yujun Li, Yasheng Wang, Lifeng Shang, Xiaolin Huang

NeurIPS 2022 Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization Luo Luo, Yujun Li, Cheng Chen

AAAI 2016 Accelerating Random Kaczmarz Algorithm Based on Clustering Information Yujun Li, Kaichun Mo, Haishan Ye