Hello! I am a final-year Ph.D. candidate at the School of Information, University of Michigan, advised by Prof. VG Vinod Vydiswaran. I also worked with Prof. Qiaozhu Mei between 2015-2020, and Prof. Daniel M. Romero between 2018-2020.

Prior to UM, I received my honored bachelor degree in Computer Science from Chu Kochen Honors College, Zhejiang University in 2017. During my undergraduate period, I was supervised by Prof. Fei Wu.

I am actively searching for research positions in industry, as well as postdoctoral and faculty positions in academia. If you are aware of any openings, I would greatly appreciate it if you could let me know. Thank you!

I primarily working on Natural Language Processing and Machine Learning. My recent research focuses on below topics:

• Self-Supervised Representation Learning (contrastive learning).

• Historical Language Change (such as semantic shift)

• Robustness of ML models (backdoor attack and defense of LLMs).

• Diffusion Models for Non-Autoregressive Generation.

• Knowledge Distillation (from advanced black-box LLM to small models).

News

[Feb 2024] Our paper Divide-or-Conquer? Which Part Should You Distill Your LLM? is now available for public access.

[Oct 2023] Our paper HiCL: Hierarchical Contrastive Learning of Unsupervised Sentence Embeddings is accepted by EMNLP 2023.

[Sep 2023] Our paper PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model is accepted by NeurIPS 2023.

[Aug 2023] Finished my internship at Machine Learning Research at Apple.