Yin, Penghang

6 publications

ICLR 2026 DiaBlo: Diagonal Blocks Are Sufficient for Finetuning Selcuk Gurses, Aozhong Zhang, Yanxia Deng, Xun Dong, Xin Li, Naigang Wang, Penghang Yin, Zi Yang

ICLR 2026 Frayed RoPE and Long Inputs: A Geometric Perspective Davis Wertheimer, Aozhong Zhang, Derrick Liu, Penghang Yin, Naigang Wang

TMLR 2025 CLoQ: Enhancing Fine-Tuning of Quantized LLMs via Calibrated LoRA Initialization Yanxia Deng, Aozhong Zhang, Selcuk Gurses, Naigang Wang, Zi Yang, Penghang Yin

NeurIPS 2024 MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization Aozhong Zhang, Naigang Wang, Yanxia Deng, Xin Li, Zi Yang, Penghang Yin

AAAI 2019 Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms Tao Sun, Penghang Yin, Dongsheng Li, Chun Huang, Lei Guan, Hao Jiang

ICLR 2019 Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley Osher, Yingyong Qi, Jack Xin