Penghang Yin - RankMe

39 papers A* 2Journal 36Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Frayed RoPE and Long Inputs: A Geometric Perspective. CoRR Davis Wertheimer, Aozhong Zhang, Derrick Liu, Penghang Yin, Naigang Wang
2025	J	`jnl`	Beyond Discreteness: Finite-Sample Analysis of Straight-Through Estimator for Quantization. CoRR Halyun Jeong, Jack Xin, Penghang Yin
2025	J	`jnl`	CLoQ: Enhancing Fine-Tuning of Quantized LLMs via Calibrated LoRA Initialization. CoRR Yanxia Deng, Aozhong Zhang, Naigang Wang, Selcuk Gurses, Zi Yang, Penghang Yin
2025	J	`jnl`	CLoQ: Enhancing Fine-Tuning of Quantized LLMs via Calibrated LoRA Initialization. Trans. Mach. Learn. Res. Yanxia Deng, Aozhong Zhang, Selcuk Gurses, Naigang Wang, Zi Yang, Penghang Yin
2025	J	`jnl`	COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization. IEEE Access Aozhong Zhang, Zi Yang, Naigang Wang, Yingyong Qi, Jack Xin, Xin Li, Penghang Yin
2025	J	`jnl`	DiaBlo: Diagonal Blocks Are Sufficient For Finetuning. CoRR Selcuk Gurses, Aozhong Zhang, Yanxia Deng, Xun Dong, Xin Li, Naigang Wang, Penghang Yin, Zi Yang
2024	J	`jnl`	COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization. CoRR Aozhong Zhang, Zi Yang, Naigang Wang, Yingyong Qin, Jack Xin, Xin Li, Penghang Yin
2024	A*	`conf`	MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization. NeurIPS Aozhong Zhang, Naigang Wang, Yanxia Deng, Xin Li, Zi Yang, Penghang Yin
2024	J	`jnl`	MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization. CoRR Aozhong Zhang, Naigang Wang, Yanxia Deng, Xin Li, Zi Yang, Penghang Yin
2024	J	`jnl`	Two-Step Quadratic Programming for Physically Meaningful Smoothing of Longitudinal Vehicle Trajectories. Transp. Sci. Ximeng Fan, Wen-Long Jin, Penghang Yin
2023	J	`jnl`	Feature Affinity Assisted Knowledge Distillation and Quantization of Deep Neural Networks on Label-Free Data. IEEE Access Zhijian Li, Biao Yang, Penghang Yin, Yingyong Qi, Jack Xin
2023	J	`jnl`	Feature Affinity Assisted Knowledge Distillation and Quantization of Deep Neural Networks on Label-Free Data. CoRR Zhijian Li, Biao Yang, Penghang Yin, Yingyong Qi, Jack Xin
2020	J	`jnl`	Global Convergence and Geometric Characterization of Slow to Fast Weight Evolution in Neural Network Training for Classifying Linearly Non-Separable Data. CoRR Ziang Long, Penghang Yin, Jack Xin
2020	J	`jnl`	Learning Quantized Neural Nets by Coarse Gradient Method for Non-linear Classification. CoRR Ziang Long, Penghang Yin, Jack Xin
2020	J	`jnl`	Recurrence of Optimum for Training Weight and Activation Quantized Networks. CoRR Ziang Long, Penghang Yin, Jack Xin
2019	A*	`conf`	Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms. AAAI Tao Sun, Penghang Yin, Dongsheng Li, Chun Huang, Lei Guan, Hao Jiang
2019	—	`conf`	Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. ICLR (Poster) Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley J. Osher, Yingyong Qi, Jack Xin
2019	J	`jnl`	Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets. CoRR Penghang Yin, Jiancheng Lyu, Shuai Zhang, Stanley J. Osher, Yingyong Qi, Jack Xin
2018	J	`jnl`	Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization. CoRR Bao Wang, Alex Tong Lin, Zuoqiang Shi, Wei Zhu, Penghang Yin, Andrea L. Bertozzi, Stanley J. Osher
2018	J	`jnl`	Alternating direction method of multipliers with difference of convex functions. Adv. Comput. Math. Tao Sun, Penghang Yin, Lizhi Cheng, Hao Jiang
2018	J	`jnl`	BinaryRelax: A Relaxation Approach For Training Deep Neural Networks With Quantized Weights. CoRR Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin
2018	J	`jnl`	BinaryRelax: A Relaxation Approach for Training Deep Neural Networks with Quantized Weights. SIAM J. Imaging Sci. Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin
2018	J	`jnl`	Blended Coarse Gradient Descent for Full Quantization of Deep Neural Networks. CoRR Penghang Yin, Shuai Zhang, Jiancheng Lyu, Stanley J. Osher, Yingyong Qi, Jack Xin
2018	J	`jnl`	Computations of Optimal Transport Distance with Fisher Information Regularization. J. Sci. Comput. Wuchen Li, Penghang Yin, Stanley J. Osher
2018	J	`jnl`	Laplacian Smoothing Gradient Descent. CoRR Stanley J. Osher, Bao Wang, Penghang Yin, Xiyang Luo, Minh Pham, Alex Tong Lin
2018	J	`jnl`	Linear Feature Transform and Enhancement of Classification on Deep Neural Network. J. Sci. Comput. Penghang Yin, Jack Xin, Yingyong Qi
2018	J	`jnl`	Stochastic Backward Euler: An Implicit Gradient Descent Algorithm for k-Means Clustering. J. Sci. Comput. Penghang Yin, Minh Pham, Adam M. Oberman, Stanley J. Osher
2018	J	`jnl`	Unbalanced and Partial L J. Sci. Comput. Ernest K. Ryu, Wuchen Li, Penghang Yin, Stanley J. Osher
2017	J	`jnl`	Deep Learning for Real-Time Crime Forecasting and its Ternarization. CoRR Bao Wang, Penghang Yin, Andrea L. Bertozzi, P. Jeffrey Brantingham, Stanley J. Osher, Jack Xin
2017	J	`jnl`	Link Flow Correction For Inconsistent Traffic Flow Data Via 𝓁 CoRR Penghang Yin, Zhe Sun, Wenlong Jin, Jack Xin
2017	J	`jnl`	Stochastic Backward Euler: An Implicit Gradient Descent Algorithm for k-means Clustering. CoRR Penghang Yin, Minh Pham, Adam M. Oberman, Stanley J. Osher
2016	J	`jnl`	A geometric blind source separation method based on facet component analysis. Signal Image Video Process. Penghang Yin, Yuanchang Sun, Jack Xin
2016	J	`jnl`	Iterative ℓ CoRR Penghang Yin, Jack Xin
2016	J	`jnl`	Point Source Super-resolution Via Non-convex L J. Sci. Comput. Yifei Lou, Penghang Yin, Jack Xin
2016	J	`jnl`	Training Ternary Neural Networks with Exact Proximal Operator. CoRR Penghang Yin, Shuai Zhang, Jack Xin, Yingyong Qi
2015	J	`jnl`	Computing Sparse Representation in a Highly Coherent Dictionary Based on Difference of L J. Sci. Comput. Yifei Lou, Penghang Yin, Qi He, Jack Xin
2015	J	`jnl`	Minimization of ℓ SIAM J. Sci. Comput. Penghang Yin, Yifei Lou, Qi He, Jack Xin
2015	J	`jnl`	Transformed Schatten-1 Iterative Thresholding Algorithms for Matrix Rank Minimization and Applications. CoRR Shuai Zhang, Penghang Yin, Jack Xin
2014	J	`jnl`	Ratio and difference of $l_1$ and $l_2$ norms and sparse representation with coherent dictionaries. Commun. Inf. Syst. Penghang Yin, Ernie Esser, Jack Xin