Aount me
Hello! I’m Xinnan Dai, a second-year PhD student at Michigan State University, under the guidance of Prof. Jiliang Tang. Before that, I obtained bachelor’s and master’s degrees at Southwest University of Science and Technology and ShanghaiTech University, respectively. I was also a research intern at Microsoft Research Asia, mentored by Caihua Shan and Dongsheng Li.
My research interests include LLMs and graph reasoning, graph neural networks and AI for Science (specifically single-cell analysis).
News
[Feb. 2025] Our paper Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation is online.
[Feb. 2025] Our paper How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension got accepted by ICLR 2025.
[Aug. 2024] Our paper Revisiting the Graph Reasoning Ability of Large Language Models: Case Studies in Translation, Connectivity and Shortest Path is online.
[Aug. 2024] Our paper AI-powered omics-based drug pair discovery for pyroptosis therapy targeting triple-negative breast cancer got accepted by Nature Communications.
[Jan. 2024] We got Accelerate Foundation Models Academic Research Initiative (AFMR) funding from Microsoft Research.
Awards
Stars of Tomorrow Internship Program (MSRA)