Jia Li
Assistant Professor
Data Science and Analytics Thrust
The Hong Kong University of Science and Technology (Guangzhou)
Office: W2 605 Email: jialee (at) hkust-gz (dot) edu (dot) cn
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NEWS
Looking for Ph.D students in areas of LLM Reasoning model and data mining. Drop an email if you are interested to work with me.
5/2025 Five + Six papers accepted by KDD'25 + ACL'25.
1/2025 Four papers accepted by ICLR'25. Congrats to all my students!
12/2024 I will serve as Area Chair for KDD'25 and Senior Area Chair for ACL Rolling Review.
9/2024 Six papers accepted by NeurIPS'24. Congrats to all my students!
8/2024 Tutorial at KDD'24 as "Graph Intelligence with Large Language Models and Prompt Learning " [pdf]
5/2024 Five papers accepted by KDD'24 Research Track. Congrats to all my students and coauthors!
1/2024 Three papers accepted by ICLR'24. Congrats to Yang, Jiashun, Ziqi and Tao!
12/2023 Graph prompt learning survey is at this repo and pdf.
11/2023 Our thoughts and survey about graph foundational model is at this repo and pdf.
08/2023 Glad to receive the Best Research Paper Award of KDD'23. It is the first time for Mainland and Hongkong of China.
06/2023 GADBench is published. It is the first comprehensive comparison between GNN and ensemble models on Anomaly Detection.
03/2023 Establish Graph Data Joint-Lab with CreateLink, here are the news and video.
03/2023 Our paper in Nature Communications received Editors’ Highlight and was reported by DrugAI and ScienceAI.
Biography
Biography
I am an Assistant Professor in Data Science and Analytics Thrust of HKUST (Guangzhou). I lead DSAIL lab. I also serve as the Co-Director of HKUST-GZ Create Link Joint Lab. I received Ph.D. degree at The Chinese University of Hong Kong in 2021. During my Ph.D. study, I worked as research intern at Google AI (Mountain view) and Tencent AI Lab. Before my Ph.D. study, I worked as a full-time data mining engineer in Tencent from 2014 to 2017, where I was responsible for WeChat and WeBank fraud prevention. I received several awards including KDD Best Paper Award in 2023 and Tencent Rhino Bird Excellent Research Award in 2022.
Research Interests
Research Interests
Foundation Model, e.g., graph algorithms, prompt learning, large language model reasoning
Data Mining, e.g., anomaly detection, time series forecasting
AI for Science, e.g., drug discovery, healthcare
Talk
Talk
2025 May, 从 LLM for graph 到 graph for LLM [Slides]
2023 July, Benchmarking Graph Anomaly Detection at Global AI Conference [Video]
2023 May, HKUST Workshop on Big Data and Biomedical & Chemical Science [Slides]
2022 July, Invited Talk at LOGS about Graph Anomaly Detection [Video]
(* stands for the corresponding author)
Fused Gromov-Wasserstein Alignment for Graph Edit Distance Computation and Beyond
Jianheng Tang, Xi Zhao, Lemin Kong, Xiaofang Zhou, Jia Li*
VLDB 2025Rewarding Graph Reasoning Process Makes LLMs More Generalized Reasoners
Miao Peng^, Nuo Chen^, Zongrui Suo, Jia Li*
KDD 2025GraphArena: Evaluating and Exploring Large Language Models on Graph Computation
Jianheng Tang, Qifan Zhang, Yuhan Li, Nuo Chen, Jia Li*
ICLR 2025UniGAD: Unifying Multi-level Graph Anomaly Detection
Yiqing Lin, Jianheng Tang, Chenyi Zi, H. Vicky Zhao, Yuan Yao, Jia Li*
NeurIPS 2024Towards Stable Representations for Protein Interface Prediction
Ziqi Gao, Zijing Liu, Yu Li, Jia Li*
NeurIPS 2024GraphWiz: An Instruction-Following Language Model for Graph Problems
Nuo Chen^, Yuhan Li^, Jianheng Tang^, Jia Li*
KDD 2024ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
Yuhan Li, Peisong Wang, Zhixun Li, Jeffrey Xu Yu, Jia Li*
KDD 2024All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining
Haihong Zhao^, Aochuan Chen^, Xiangguo Sun^, Hong Cheng, Jia Li*
KDD 2024Path-based Explanation for Knowledge Graph Completion
Heng Chang^, Jiangnan Ye^, Alejo Lopez-Avila, Jinhua Du, Jia Li*
KDD 2024Parameter Efficient Fine-Tuning with Discrete Fourier Transform
Ziqi Gao^, Qichao Wang^, Aochuan Chen^, Zijing Liu, Bingzhe Wu, Liang Chen, Jia Li*
ICML 2024Weakly Supervised Anomaly Detection via Knowledge-Data Alignment
Haihong Zhao, Chenyi Zi, Yang Liu, Chen Zhang, Yan Zhou, Jia Li*
WWW 2024Protein Multimer Structure Prediction via Prompt Learning
Ziqi Gao, Xiangguo Sun, Zijing Liu, Xu Li, Hong Cheng, Jia Li*
ICLR 2024GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
Jianheng Tang, Fengrui Hua, Ziqi Gao, Peilin Zhao, Jia Li*
NeurIPS 2023All in One: Multi-task Prompting for Graph Neural Networks
Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan
KDD 2023 [Code] Best Paper AwardAlleviating Over-smoothing for Unsupervised Sentence Representation
Nuo Chen, Linjun Shou, Jian Pei, Ming Gong, Bowen Cao, Jianhui Chang, Daxin Jiang, Jia Li*
ACL 2023Hierarchical Graph Learning for Protein-Protein Interaction
Ziqi Gao, Chenran Jiang, Jiawen Zhang, Xiaosen Jiang, Lanqing Li, Peilin Zhao, Huanming Yang, Yong Huang*, Jia Li*
Nature Communications 2023 [Editors’ Highlight] [DrugAI] [ScienceAI]Knowledge Graph Completion with Counterfactual Augmentation
Heng Chang, Jie Cai, Jia Li*
WWW 2023Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport
Jianheng Tang, Weiqi Zhang, Jiajin Li, Kangfei Zhao, Fugee Tsung, Jia Li*
ICDE 2023 [code]Semi-Supervised Hierarchical Graph Classification
Jia Li, Yongfeng Huang, Heng Chang, Yu Rong
TPAMI 2022Rethinking Graph Neural Networks for Anomaly Detection
Jianheng Tang, Jiajin Li, Ziqi Gao, Jia Li*
ICML 2022 [code] [news]Deconvolutional Networks on Graph Data
Jia Li, Jiajin Li, Yang Liu, Jianwei Yu, Yueting Li, Hong Cheng
NeurIPS 2021 [video][code]Dirichlet Graph Variational Autoencoder
Jia Li, Jianwei Yu, Jiajin Li,Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang
NeurIPS 2020 [code]Adversarial Attack on Community Detection by Hiding Individuals
Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang
WWW 2020 Oral [code]Predicting Path Failure In Time-Evolving Graphs
Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan
KDD 2019 Oral [code] [video]TATC: Predicting Alzheimers Disease with Actigraphy Data
Jia Li, Yu Rong, Helen Meng, Zhihui Lu, Timothy Kwok, Hong Cheng
KDD 2018 Oral [talk] [video]
Work Experiences
Work Experiences
Assistant Professor, Hong Kong University of Science and Technology, starting from Aug. 2021
Senior Data Mining Engineer, Tencent, Shenzhen, 2014-2017
Fraud Detection System Programmer, China Mobile, Shenzhen, 2010-2013
Supervision
Supervision
Jianheng Tang (PhD student since 2021 Fall, DSA Excellent Research Award 2023, HKUST AIS Best Research Award 2024/25)
Yang Liu (PhD student since 2021 Fall)
Ziqi Gao (PhD student since 2022 Spring, HKUST AIS Best Research Award 2022/23)
Nuo Chen (PhD student since 2022 Fall, Baidu Research Award 2024/25)
Jiawen Zhang (PhD student since 2022 Fall, DSA Excellent Research Award 2024)
Yifan Niu (PhD student since 2022 Fall)
Haihong Zhao (PhD student since 2023 Fall)
Yuhan Li (PhD student since 2023 Fall, DSA Excellent Research Award 2024)
Bing Tong (PhD student since 2023 Fall)
Aochuan Chen (PhD student since 2024 Spring)
sERVICES
sERVICES
Area Chair for KDD 2025
Senior Area Chair for ACL 2024
Registration Chair for VLDB 2024
PC member or Reviewer for WWW, KDD, ICML, NeurIPS, ICLR, ICDE, TKDE, CIKM, TPAMI, WSDM, Nature Communications
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