Factors Affecting Carbon Emissons in the G7 and BRICS Countries: Evidence from Quantile Regression. - Yefan Zhou; Jirakom Sirisrisakulchai; Jianxu Liu; Songsak Sriboonchitta (IUKM, 2019)

A Two-Stream Network For Driving Hand Gesture Recognition. - Yefan Zhou; Zhao Lv; Chaoqun Wang; Shengli Zhang (ICDM (Workshops), 2020)

Measurements of the Conditional Dependence Structure Among Carbon, Fossil Energy and Renewable Energy Prices: Vine Copula Based GJR-GARCH Model. - Yefan Zhou; Jianxu Liu; Jirakom Sirisrisakulchai; Songsak Sriboonchitta (IUKM, 2020)

A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks. - Yefan Zhou; Yiru Shen; Yujun Yan; Chen Feng 002; Yaoqing Yang (3DV, 2021)

Learn to Grasp with Less Supervision: A Data-Efficient Maximum Likelihood Grasp Sampling Loss. - Xinghao Zhu; Yefan Zhou; Yongxiang Fan; Masayoshi Tomizuka (CoRR, 2021)

Learn to Grasp with Less Supervision: A Data-Efficient Maximum Likelihood Grasp Sampling Loss. - Xinghao Zhu; Yefan Zhou; Yongxiang Fan; Lingfeng Sun; Jianyu Chen; Masayoshi Tomizuka (ICRA, 2022)

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

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

Model Balancing Helps Low-data Training and Fine-tuning. - Zihang Liu; Yuanzhe Hu; Tianyu Pang; Yefan Zhou; Pu Ren; Yaoqing Yang (EMNLP, 2024)

AlphaLoRA: Assigning LoRA Experts Based on Layer Training Quality. - Peijun Qing; Chongyang Gao; Yefan Zhou; Xingjian Diao; Yaoqing Yang; Soroush Vosoughi (EMNLP, 2024)

MD tree: a model-diagnostic tree grown on loss landscape. - Yefan Zhou; Jianlong Chen; Qinxue Cao; Konstantin Schürholt; Yaoqing Yang (ICML, 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 (NeurIPS, 2024)

AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models. - Haiquan Lu; Yefan Zhou; Shiwei Liu 003; Zhangyang Wang; Michael W. Mahoney; Yaoqing Yang (NeurIPS, 2024)

A Model Zoo on Phase Transitions in Neural Networks. - Konstantin Schürholt; Léo Meynent; Yefan Zhou; Haiquan Lu; Yaoqing Yang; Damian Borth (CoRR, 2025)