Hanchen Yang

Hanchen Yang

PhD Candidate

Tongji University & The Hong Kong Polytechnic University

Shanghai, China

Research Interests

Data Mining
Large Foundation Model
Graph Learning
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About

I am currently a Ph.D. candidate in Computer Science and Technology, jointly trained by Tongji University (TJU) and The Hong Kong Polytechnic University (PolyU), supervisor by Prof. Jiannong Cao and Prof. Jihong Guan.

Prior to this, I received my B.Sc degrees from Beijing Jiaotong University (BJTU) in Computer Science and Technology (Top 10%). From April 2025 to November 2025, I was a visiting scholar at the University of Illinois Chicago (UIC), advised by Prof. Philip S. Yu.

My research focuses on data mining, graph neural networks, and foundation models. I have published more than 20 papers in total, including 5 first-authored papers.

I am open to research discussions and collaborations. Please feel free to contact me.

Selected Publications

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OKG-LLM: Aligning ocean knowledge graph with observation data via LLMs for global sea surface temperature prediction

Hanchen Yang, Jiaqi Wang, Jiannong Cao, Wengen Li, Jialun Zheng, Yangning Li, Chunyu Miao, Jihong Guan, Shuigeng Zhou, Philip S Yu

TKDE

DP-DGAD: A generalist dynamic graph anomaly detector with dynamic prototypes

Jialun Zheng, Jie Liu, Jiannong Cao, Xiao Wang, Hanchen, Chen Yang, Philip S Yu

WWW

Mining Intrinsic Rewards from LLM Hidden States for Efficient Best-of-N Sampling

Jizhou Guo, Zhaomin Wu, Hanchen Yang, Philip S. Yu

KDD

News

2025-09

Our two work has been accepted by ACM TKDD journal 🎉

2025-12

Our work has been accepted by KDD Conference 🎉

2026-01

Our work has been accepted by WWW Conference 🎉

2026-02

Our work has been accepted by ICLR Conference 🎉

2026-03

Our work has been accepted by IEEE TKDE journal 🎉