ME
I am a final-year Ph.D. candidate at Michigan State University (MSU) supervised by Dr. Jiliang Tang. I am actively seeking industry position starting around May 2025. My research interests include Graph Machine Learning, Recommender System, Large Language Model, and Information Retrieval. If you know of any relevant openings, I would greatly appreciate your consideration! More Details can be found in:
My academic research focuses on (i) developing versatile graph models rooted in network science, to achieve strong generalization and broad downstream graph applicability. (ii) LLM mechanism analysis to enhance output reliability.
During my industry internship, I learn about the recommender system in Snap, the search engine in Baidu, and tabular data intelligence in Microsoft. During these internships, I (i) transformed industry problems into research challenges and organized WSDM CUP 2022 and KDD CUP 2023 accordingly (ii) developed resource-efficient solutions by identifying and leveraging relationships among data. My intern projects won CIKM 2021 Best Short Paper and WSDM 2024 Best Paper Honorable Mention.
Moreover, I was engaged in academic-industry collaborations between MSU and several companies, including Graph Mining team, Google Research, Query Understanding team, Amazon, Intel Labs, J.P. Morgan AI Research. 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 outreach chair of the Learning on Graph Conference 2024, an exciting new conference facilitating graph and geometry community engagement.
Internship Experience
- User Modeling and Personalization Team, Snap Research (September 2024 - now):
- Ongoing Topic: Recommender System with Generative Retrieval.
- Previous Collaboration Topic: Versatile Graph Models [NeurIPS’23] [ICLR’24] [ICML’24 Spotlight] [LoG’24]
- Mentors: Dr. Neil Shah, Dr. Tong Zhao, and Dr. Clark Ju
- Search Strategy Team, Baidu Inc (March, 2022 - September, 2022)
- Topic: Text-rich Unbiased Learning to Rank Algorithm [NeurIPS’22] [Webconf’24 Oral]
- Mentor: Dr. Lixin Zou
- Data Knowledge Intelligence Group, Microsoft Research Asia (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: by Principal Researcher Qiang Fu
- 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]