ME

My resume can be found here [Resume].

I am a final-year Ph.D. candidate at Michigan State University supervised by Dr. Jiliang Tang. I am actively seeking industry position starting around May 2025. My research interests include Graph Machine Learning, Recommender System, Information Retrieval, and Large Language Model. If you know of any relevant openings, I would greatly appreciate your consideration! More Details can be found in [my research blog]

My academic research focuses on

• Network Analysis [paper1][paper2] and Graph Pre-training [paper1][paper2][Research Statement][Talk Slides]
• Enhance LLM with Better In-context Learning Ability [paper1][paper2][paper3]

Industrial Resource-efficient Solutions During Internships

• Snap Research, LLM-based Generative Recommendation (ongoing)
• Baidu, LLM-based Ranking Algorithms [paper1][paper2]
• Microsoft Research AsiaAccelerate and Stabilize Neural Network Training [paper1][paper2]

Transform Industrial Problems into Academic Challenges

• Organize Baidu WSDM CUP’23: Pre-training for Web Search.
• Organize Amazon KDD CUP’23: Multilingual Shopping Session Recommendation.

Moreover, I was engaged in academic-industry collaborations between MSU and several companies, including Graph Mining team in Google Research, Query Understanding team in Amazon, Intel Labs. I led the graph research subgroup in my PhD lab, where I made my best memory collaborating closely with my talented labmates sharing the same goal. I am now serving as the organizer of the Learning on Graph Conference 2024, an exciting new conference facilitating graph and geometry community engagement.

Internship Experience

• Snap Research, User Modeling and Personalization Team (September 2024 - Jan 2025):
  • Ongoing Topic: LLM-based Generative Recommendation.
  • Previous Collaboration Topic: Network Analysis & Graph Pretraining [NeurIPS’23] [ICLR’24] [ICML’24 Spotlight] [LoG’24]
  • Mentors: Dr. Neil Shah, Dr. Tong Zhao, and Dr. Clark Ju
• Baidu Inc, Search Strategy Team, (March, 2022 - September, 2022)
  • Topic: LLM-based Unbiased Learning to Rank Algorithm [NeurIPS’22] [Webconf’24 Oral]
  • Mentor: Dr. Lixin Zou
• Microsoft Research Asia, Data Knowledge Intelligence Group, (January, 2021 - November, 2021)
  • Topic 1: Solve out-of-distribution Challenge under Data Privacy Constraints [WSDM’24 Best Paper Honor Mention]
  • Topic 2: Accelerate and Stabilize Neural Network Training [NeurIPS’22] [CIKM’21 Best Short Paper]
  • Mentor: Principal Researcher Qiang Fu, Senior Researcher Lun Du
  • One news in Microsoft about our research.
  • Won the Star of Tomorrow Intern Award in Microsoft Research Asia (Top 10%)
  • Co-founded MS-Intern Guitar Club.

Awards:

• WSDM 2024 Best Paper Honor Mentioned Award (First Author) (3/615)
• CIKM 2021 Best Short Paper Award (First Author) (1/626)
• ICML 2024 Spotlight (First Author) (335/9473)
• NeurIPS 2024 Top Reviewer Award (Both Main track & DB Track) (0.64%)
• WSDM 2024 Student Travel Award
• NeurIPS 2023 Scholar Award
• Excellent Student of High Education in Sichuan Province (30/763)
• Outstanding Graduate in University of Electronic Science and Technology of China (74/763)
• Star of Tomorrow Intern Award in Microsoft Research Asia (Top 10%)
• National First Prize in Chinese Software Cup (20/45,000) [Github]