Yefan Zhou - RankMe

26 papers A* 8Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Model Zoo on Phase Transitions in Neural Networks. CoRR Konstantin Schürholt, Léo Meynent, Yefan Zhou, Haiquan Lu, Yaoqing Yang, Damian Borth
2025	J	`jnl`	A Model Zoo on Phase Transitions in Neural Networks. J. Data-centric Mach. Learn. Res. Konstantin Schürholt, Léo Meynent, Yefan Zhou, Haiquan Lu, Yaoqing Yang, Damian Borth
2025	J	`jnl`	Diffusion Language Models Know the Answer Before Decoding. CoRR Pengxiang Li, Yefan Zhou, Dilxat Muhtar, Lu Yin, Shilin Yan, Li Shen, Yi Liang, Soroush Vosoughi, Shiwei Liu
2025	J	`jnl`	On the Shelf Life of Fine-Tuned LLM Judges: Future Proofing, Backward Compatibility, and Question Generalization. CoRR Janvijay Singh, Austin Xu, Yilun Zhou, Yefan Zhou, Dilek Hakkani-Tur, Shafiq Joty
2025	J	`jnl`	Variation in Verification: Understanding Verification Dynamics in Large Language Models. CoRR Yefan Zhou, Austin Xu, Yilun Zhou, Janvijay Singh, Jiang Gui, Shafiq Joty
2024	A*	`conf`	AlphaLoRA: Assigning LoRA Experts Based on Layer Training Quality. EMNLP Peijun Qing, Chongyang Gao, Yefan Zhou, Xingjian Diao, Yaoqing Yang, Soroush Vosoughi
2024	J	`jnl`	AlphaLoRA: Assigning LoRA Experts Based on Layer Training Quality. CoRR Peijun Qing, Chongyang Gao, Yefan Zhou, Xingjian Diao, Yaoqing Yang, Soroush Vosoughi
2024	A*	`conf`	AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models. NeurIPS Haiquan Lu, Yefan Zhou, Shiwei Liu, Zhangyang Wang, Michael W. Mahoney, Yaoqing Yang
2024	J	`jnl`	AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models. CoRR Haiquan Lu, Yefan Zhou, Shiwei Liu, Zhangyang Wang, Michael W. Mahoney, Yaoqing Yang
2024	A*	`conf`	MD tree: a model-diagnostic tree grown on loss landscape. ICML Yefan Zhou, Jianlong Chen, Qinxue Cao, Konstantin Schürholt, Yaoqing Yang
2024	J	`jnl`	MD tree: a model-diagnostic tree grown on loss landscape. CoRR Yefan Zhou, Jianlong Chen, Qinxue Cao, Konstantin Schürholt, Yaoqing Yang
2024	A*	`conf`	Model Balancing Helps Low-data Training and Fine-tuning. EMNLP Zihang Liu, Yuanzhe Hu, Tianyu Pang, Yefan Zhou, Pu Ren, Yaoqing Yang
2024	J	`jnl`	Model Balancing Helps Low-data Training and Fine-tuning. CoRR Zihang Liu, Yuanzhe Hu, Tianyu Pang, Yefan Zhou, Pu Ren, Yaoqing Yang
2024	A*	`conf`	Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance. NeurIPS Haiquan Lu, Xiaotian Liu, Yefan Zhou, Qunli Li, Kurt Keutzer, Michael W. Mahoney, Yujun Yan, Huanrui Yang, Yaoqing Yang
2024	J	`jnl`	Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance. CoRR Haiquan Lu, Xiaotian Liu, Yefan Zhou, Qunli Li, Kurt Keutzer, Michael W. Mahoney, Yujun Yan, Huanrui Yang, Yaoqing Yang
2023	A*	`conf`	A Three-regime Model of Network Pruning. ICML Yefan Zhou, Yaoqing Yang, Arin Chang, Michael W. Mahoney
2023	J	`jnl`	A Three-regime Model of Network Pruning. CoRR Yefan Zhou, Yaoqing Yang, Arin Chang, Michael W. Mahoney
2023	A*	`conf`	Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training. NeurIPS Yefan Zhou, Tianyu Pang, Keqin Liu, Charles H. Martin, Michael W. Mahoney, Yaoqing Yang
2023	J	`jnl`	Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training. CoRR Yefan Zhou, Tianyu Pang, Keqin Liu, Charles H. Martin, Michael W. Mahoney, Yaoqing Yang
2022	A*	`conf`	Learn to Grasp with Less Supervision: A Data-Efficient Maximum Likelihood Grasp Sampling Loss. ICRA Xinghao Zhu, Yefan Zhou, Yongxiang Fan, Lingfeng Sun, Jianyu Chen, Masayoshi Tomizuka
2021	—	`conf`	A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks. 3DV Yefan Zhou, Yiru Shen, Yujun Yan, Chen Feng, Yaoqing Yang
2021	J	`jnl`	A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks. CoRR Yefan Zhou, Yiru Shen, Yujun Yan, Chen Feng, Yaoqing Yang
2021	J	`jnl`	Learn to Grasp with Less Supervision: A Data-Efficient Maximum Likelihood Grasp Sampling Loss. CoRR Xinghao Zhu, Yefan Zhou, Yongxiang Fan, Masayoshi Tomizuka
2020	—	`conf`	A Two-Stream Network For Driving Hand Gesture Recognition. ICDM (Workshops) Yefan Zhou, Zhao Lv, Chaoqun Wang, Shengli Zhang
2020	—	`conf`	Measurements of the Conditional Dependence Structure Among Carbon, Fossil Energy and Renewable Energy Prices: Vine Copula Based GJR-GARCH Model. IUKM Yefan Zhou, Jianxu Liu, Jirakom Sirisrisakulchai, Songsak Sriboonchitta
2019	—	`conf`	Factors Affecting Carbon Emissons in the G7 and BRICS Countries: Evidence from Quantile Regression. IUKM Yefan Zhou, Jirakom Sirisrisakulchai, Jianxu Liu, Songsak Sriboonchitta