Dong, Yijun

7 publications

ICML 2025 Discrepancies Are Virtue: Weak-to-Strong Generalization Through Lens of Intrinsic Dimension Yijun Dong, Yicheng Li, Yunai Li, Jason D. Lee, Qi Lei

CPAL 2025 Greedy Output Approximation: Towards Efficient Structured Pruning for LLMs Without Retraining Jianwei Li, Yijun Dong, Qi Lei

NeurIPSW 2024 Randomly Pivoted V-Optimal Design: Fast Data Selection Under Low Intrinsic Dimension Yijun Dong, Xiang Pan, Hoang Phan, Qi Lei

NeurIPS 2024 Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning Yijun Dong, Hoang Phan, Xiang Pan, Qi Lei

ICML 2023 Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization Under Concept Shift Yijun Dong, Yuege Xie, Rachel Ward

NeurIPS 2023 Cluster-Aware Semi-Supervised Learning: Relational Knowledge Distillation Provably Learns Clustering Yijun Dong, Kevin Miller, Qi Lei, Rachel Ward

AISTATS 2023 Sample Efficiency of Data Augmentation Consistency Regularization Shuo Yang, Yijun Dong, Rachel Ward, Inderjit S. Dhillon, Sujay Sanghavi, Qi Lei