News
| Aug 2026 | Our paper Rethinking the Role of Temperature in Large Language Model Distillation has been accepted to the EMNLP 2026 main conference. |
|---|---|
| May 2026 | New preprint: Consistently Informative Soft-Label Temperature for Knowledge Distillation is now on arXiv. |
| Apr 2026 | Our paper Why LoRA Fails to Forget: Regularized Low-Rank Adaptation Against Backdoors in Language Models has been accepted to Findings of ACL 2026. |
| Mar 2026 | New preprint: Diversity-Aware Reverse Kullback-Leibler Divergence for Large Language Model Distillation is now on arXiv. |
| Jan 2026 | Our paper Understanding SAM’s Robustness to Noisy Labels through Gradient Down-weighting has been accepted to AISTATS 2026. |
| Aug 2025 | Started my Ph.D. in Computer Science at Rochester Institute of Technology, advised by Prof. Lingwei Chen. |
| Sep 2024 | Our paper Fundamental Convergence Analysis of Sharpness-Aware Minimization has been accepted to NeurIPS 2024. |