About me
L’humaine sagesse était tout entière dans ces deux mots: attendre et espérer!
Hi! I am Peisong Wang (王沛松 in Chinese), currently a last-year master’s student at Tsinghua University, advised by Professor Wai Kin (Victor) Chan.
I am an intern at the Information Thrust of Hong Kong University of Science and Technology, adviced by Professor Jia Li.
I received my Bachelor’s degree in Information Engineering in 2022 from Beijing University of Posts and Telecommunications.
I graduated from Shenzhen Foreign Language School in 2018.
Research Interest
Data mining, especially graph learning.
Large language model, especially its fusion with graph.
News
2025.2 We release our reseach on the reasoning ability of LLMs S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning.
2024.9 Our paper GLBench: A Comprehensive Benchmark for Graph with Large Language Models accepted by NeurIPS’24 Datasets and Benchmarks Track!
2024.7 I start my internship in Tencent and conduct researches on LLMs.
2024.6 Our research paper Data-driven Uncertainty Revenue Modeling for Computation Resource Allocation in Recommendation Systems accepted by WSC’24 (Top conference in Simulation)!
2024.5 Our research paper ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs accepted by KDD’24!
2024.4 Our survey A Survey of Graph Meets Large Language Model: Progress and Future Directions accepted by IJCAI’24!
2023.11 We publish a survey paper: A Survey of Graph Meets Large Language Model: Progress and Future Directions and the corresponding github repo: Awesome-LLMs-in-Graph-tasks.