Yang, Yaoqing

22 publications

ICLRW 2025 A Model Zoo on Phase Transitions in Neural Networks Konstantin Schürholt, Léo Meynent, Yefan Zhou, Yaoqing Yang, Damian Borth

ICML 2025 Eigenspectrum Analysis of Neural Networks Without Aspect Ratio Bias Yuanzhe Hu, Kinshuk Goel, Vlad Killiakov, Yaoqing Yang

TMLR 2025 From Spikes to Heavy Tails: Unveiling the Spectral Evolution of Neural Networks Vignesh Kothapalli, Tianyu Pang, Shenyang Deng, Zongmin Liu, Yaoqing Yang

ICML 2025 LIFT the Veil for the Truth: Principal Weights Emerge After Rank Reduction for Reasoning-Focused Supervised Fine-Tuning Zihang Liu, Tianyu Pang, Oleg Balabanov, Chaoqun Yang, Tianjin Huang, Lu Yin, Yaoqing Yang, Shiwei Liu

ICLR 2025 Mitigating Memorization in Language Models Mansi Sakarvadia, Aswathy Ajith, Arham Mushtaq Khan, Nathaniel C Hudson, Caleb Geniesse, Kyle Chard, Yaoqing Yang, Ian Foster, Michael W. Mahoney

NeurIPS 2024 AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-Wise Pruning of Large Language Models Haiquan Lu, Yefan Zhou, Shiwei Liu, Zhangyang Wang, Michael W. Mahoney, Yaoqing Yang

NeurIPSW 2024 Evaluating Loss Landscapes from a Topology Perspective Tiankai Xie, Caleb Geniesse, Jiaqing Chen, Yaoqing Yang, Dmitriy Morozov, Michael W. Mahoney, Ross Maciejewski, Gunther H. Weber

ICML 2024 EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs Haohui Wang, Yuzhen Mao, Yujun Yan, Yaoqing Yang, Jianhui Sun, Kevin Choi, Balaji Veeramani, Alison Hu, Edward Bowen, Tyler Cody, Dawei Zhou

ICML 2024 MD Tree: A Model-Diagnostic Tree Grown on Loss Landscape Yefan Zhou, Jianlong Chen, Qinxue Cao, Konstantin Schürholt, Yaoqing Yang

NeurIPS 2024 Sharpness-Diversity Tradeoff: Improving Flat Ensembles with SharpBalance Haiquan Lu, Xiaotian Liu, Yefan Zhou, Qunli Li, Kurt Keutzer, Michael W. Mahoney, Yujun Yan, Huanrui Yang, Yaoqing Yang

ICLR 2024 Teach LLMs to Phish: Stealing Private Information from Language Models Ashwinee Panda, Christopher A. Choquette-Choo, Zhengming Zhang, Yaoqing Yang, Prateek Mittal

NeurIPSW 2024 Visualizing Loss Functions as Topological Landscape Profiles Caleb Geniesse, Jiaqing Chen, Tiankai Xie, Ge Shi, Yaoqing Yang, Dmitriy Morozov, Talita Perciano, Michael W. Mahoney, Ross Maciejewski, Gunther H. Weber

ICML 2023 A Three-Regime Model of Network Pruning Yefan Zhou, Yaoqing Yang, Arin Chang, Michael W. Mahoney

ICMLW 2023 Teach GPT to Phish Ashwinee Panda, Zhengming Zhang, Yaoqing Yang, Prateek Mittal

NeurIPS 2023 Temperature Balancing, Layer-Wise Weight Analysis, and Neural Network Training Yefan Zhou, Tianyu Pang, Keqin Liu, Charles Martin, Michael W. Mahoney, Yaoqing Yang

NeurIPS 2023 When Are Ensembles Really Effective? Ryan Theisen, Hyunsuk Kim, Yaoqing Yang, Liam Hodgkinson, Michael W. Mahoney

ICML 2022 Neurotoxin: Durable Backdoors in Federated Learning Zhengming Zhang, Ashwinee Panda, Linyue Song, Yaoqing Yang, Michael Mahoney, Prateek Mittal, Ramchandran Kannan, Joseph Gonzalez

CVPR 2022 Self-Supervised Spatial Reasoning on Multi-View Line Drawings Siyuan Xiang, Anbang Yang, Yanfei Xue, Yaoqing Yang, Chen Feng

NeurIPS 2021 Taxonomizing Local Versus Global Structure in Neural Network Loss Landscapes Yaoqing Yang, Liam Hodgkinson, Ryan Theisen, Joe Zou, Joseph E Gonzalez, Kannan Ramchandran, Michael W. Mahoney

NeurIPSW 2021 The Effect of Model Size on Worst-Group Generalization Alan Le Pham, Eunice Chan, Vikranth Srivatsa, Dhruba Ghosh, Yaoqing Yang, Yaodong Yu, Ruiqi Zhong, Joseph E. Gonzalez, Jacob Steinhardt

NeurIPS 2020 Boundary Thickness and Robustness in Learning Models Yaoqing Yang, Rajiv Khanna, Yaodong Yu, Amir Gholami, Kurt Keutzer, Joseph E Gonzalez, Kannan Ramchandran, Michael W. Mahoney

NeurIPS 2017 Coded Distributed Computing for Inverse Problems Yaoqing Yang, Pulkit Grover, Soummya Kar