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 first-year Ph.D student at the Hong Kong University of Science and Technology (Guangzhou), advised by Professor Jia Li.

I received my Master’s degree in Data Science and Information Technology in 2025 from Tsinghua University, advised by Professor Wai Kin (Victor) Chan.

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

• Large Language Model, Data Mining.

News

2025.8 I have completed my one-year internship at Tencent! Here are Papers and Technical Reports I contributed to during my internship.

2025.4 We introduce a novel approach where a critic model evolves its ability to assess reasoning steps through adversarial self-play games, eliminating the need for manual step-level annotation in thepaper SPC: Evolving Self-Play Critic via Adversarial Games for LLM Reasoning.

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!