Jia Li
Assistant Professor
Data Science and Analytics Thrust
The Hong Kong University of Science and Technology (Guangzhou)
香港科技大学（广州）
Office: W2 605 Email: jialee (at) ust (dot) hk
办公室：W2 605 电子邮件：jialee (at) ust (dot) hk
Looking for Ph.D students in areas of graph foundational model and data mining. Drop an email if you are interested to work with me.
寻找图基础模型和数据挖掘领域的博士生。如果您有兴趣与我合作，请发送电子邮件。
1/2024 Three papers accepted by ICLR'24. Congrats to Yang, Jiashun, Ziqi and Tao!
1/2024 三篇论文被 ICLR'24 接收。恭喜杨、嘉顺、子琪和涛！12/2023 Graph prompt learning survey is at this repo and pdf.
12/2023 图提示学习调查位于此存储库和 pdf 中。11/2023 Our thoughts and survey about graph foundational model is at this repo and pdf.
11/2023 我们关于图基础模型的想法和调查位于此 repo 和 pdf 中。08/2023 Glad to receive the Best Research Paper Award of KDD'23. It is the first time for Mainland and Hongkong of China.
08/2023 很高兴获得 KDD'23 最佳研究论文奖。这对于中国内地和香港来说尚属首次。06/2023 GADBench is published. It is the first comprehensive comparison between GNN and ensemble models on Anomaly Detection.
06/2023 GDBench 发布。这是 GNN 和集成模型在异常检测方面的首次全面比较。05/2023 Two papers accepted by KDD'23. Big congrats to Jiawen and Xiangguo!
05/2023 两篇论文被 KDD'23 接收。热烈祝贺嘉文和相国！05/2023 Three papers accepted by ACL'23. Big congrats to Nuo and Jianheng!
05/2023 三篇论文被 ACL'23 接收。恭喜诺和建恒！03/2023 Establish Graph Data Joint-Lab with CreateLink, here are the news and video.
03/2023 与CreateLink建立图数据联合实验室，新闻和视频如下。03/2023 Our paper in Nature Communications received Editors’ Highlight and was reported by DrugAI and ScienceAI.
03/2023 我们在 Nature Communications 上的论文获得编辑亮点，并被 DrugAI 和 ScienceAI 报道。01/2023 One paper about Protein-Protein Interaction accepted by Nature Communications. Big congrats to Ziqi!
01/2023 一篇关于蛋白质-蛋白质相互作用的论文被 Nature Communications 接收。热烈祝贺子琪！11/2022 Opensource Harry Potter Dialogue benchmark with Tencent AI Lab.
11/2022 与腾讯人工智能实验室开源哈利波特对话基准。11/2022 Three papers accepted by AAAI'23. Big congrats to Yang, Ziqi, Jiashun!
08/2022 One paper accepted by TPAMI'22.
08/2022 一篇论文被 TPAMI'22 接收。05/2022 One paper accepted by ICML'22. Big congrats to Jianheng!
05/2022 一篇论文被 ICML'22 接收。恭喜建恒！04/2022 Received Tencent AI Lab Rhino-Bird Fund!
Biography
I am an Assistant Professor in Data Science and Analytics Thrust of HKUST (Guangzhou) and an Affiliated Assistant Professor in the Department of Computer Science Engineering of HKUST (Hong Kong). I 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.
我是香港科技大学（广州）数据科学与分析方向的助理教授，也是香港科技大学（香港）计算机科学工程系的附属助理教授。我担任香港科技大学-广州创联联合实验室联席主任。我获得了博士学位。 2021年在香港中文大学获得博士学位。学习期间，我曾在Google AI（山景）和腾讯AI Lab担任研究实习生。在我获得博士学位之前学习期间，我于2014年至2017年在腾讯担任全职数据挖掘工程师，负责微信和微众银行的防欺诈工作。
Research Interests 研究兴趣
Graph Foundation Model, e.g., graph neural networks, prompt learning, graph multimodal model
图基础模型，例如图神经网络、即时学习、图多模态模型Data Mining, e.g., anomaly detection, time series forecasting
数据挖掘，例如异常检测、时间序列预测AI for Science, e.g., drug discovery, healthcare
科学人工智能，例如药物发现、医疗保健
Talk
2023 July, Benchmarking Graph Anomaly Detection at Global AI Conference [Video]
2023 年 7 月，全球人工智能大会上的图异常检测基准测试 [视频]2023 May, HKUST Workshop on Big Data and Biomedical & Chemical Science [Slides]
2023年5月，科大大数据与生物医学及化学科学工作坊 [幻灯片]2022 July, Invited Talk at LOGS about Graph Anomaly Detection [Video]
2022年7月，LOGS受邀演讲图异常检测[视频]
Publications
(* stands for the corresponding author)
（*代表通讯作者）
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment
通过知识数据对齐进行弱监督异常检测
Haihong Zhao, Chenyi Zi, Yang Liu, Chen Zhang, Yan Zhou, Jia Li*
WWW 2024Protein Multimer Structure Prediction via Prompt Learning
通过即时学习预测蛋白质多聚体结构
Ziqi Gao, Xiangguo Sun, Zijing Liu, Xu Li, Hong Cheng, Jia Li*
ICLR 2024Deep Reinforcement Learning for Modelling Protein Complexes
用于蛋白质复合物建模的深度强化学习
Tao Feng^, Ziqi Gao^, Jiaxuan You, Chenyi Zi, Yan Zhou, Chen Zhang, Jia Li*
ICLR 2024Improving Generalization in Equivariant Graph Neural Networks with Physical Inductive Biases
提高具有物理归纳偏差的等变图神经网络的泛化能力
Yang Liu^, Jiashun Cheng^, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li*, Yu Rong*
ICLR 2024 SpotlightGAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction
GAD-NR：通过邻域重建进行图异常检测
Amit Roy, Juan Shu, Jia Li, Carl Yang, Olivier Elshocht, Jeroen Smeets, Pan Li
阿米特·罗伊 (Amit Roy)、舒娟 (Juan Shu)、李嘉 (Jia Li)、卡尔·杨 (Carl Yang)、Olivier Elshcht、Jeroen Smeets、潘力
WSDM 2024GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
GADBench：重新审视和基准测试监督图异常检测
Jianheng Tang, Fengrui Hua, Ziqi Gao, Peilin Zhao, Jia Li*
NeurIPS 2023Deep Insights into Noisy Pseudo Labeling on Graph Data
深入洞察图数据上的噪声伪标签
Botao Wang, Jia Li*, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung
NeurIPS 2023Large Language Models Meet Harry Potter: A Bilingual Dataset for Aligning Dialogue Agents with Characters
大型语言模型遇见哈利·波特：用于将对话代理与角色对齐的双语数据集
Nuo Chen, Yan Wang*, Haiyun Jiang, Deng Cai, Yuhan Li, Ziyang Chen, Longyue Wang, Jia Li*
EMNLP 2023 FindingsOrca: A Few-shot Benchmark for Chinese Conversational Machine Reading Comprehension
Orca：中文会话机器阅读理解的小样本基准
Nuo Chen, Hongguang Li, Yinan Bao, Junqing He, Xinshi Lin, Qi Yang, Jianfeng Liu, Ruyi Gan, Jiaxing Zhang, Baoyuan Wang, Jia Li*
EMNLP 2023 FindingsNature Response Generation for Chinese Reading Comprehension
中文阅读理解的自然反应生成
Nuo Chen, Hongguang Li, Yinan Bao, Baoyuan Wang, Jia Li*
EMNLP 2023 FindingsA Co-training Approach for Noisy Time Series Learning
噪声时间序列学习的协同训练方法
Weiqi Zhang, Jianfeng Zhang, Jia Li*, Fugee Tsung
CIKM 2023Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series
Warpformer：不规则临床时间序列的多尺度建模方法
Jiawen Zhang, Shun Zheng, Wei Cao, Jiang Bian, Jia Li*
KDD 2023All in One: Multi-task Prompting for Graph Neural Networks
多合一：图神经网络的多任务提示
Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan
KDD 2023 [Code] Best Paper AwardAlleviating Over-smoothing for Unsupervised Sentence Representation
减轻无监督句子表示的过度平滑
Nuo Chen, Linjun Shou, Jian Pei, Ming Gong, Bowen Cao, Jianhui Chang, Daxin Jiang, Jia Li*
ACL 2023 2023年ACLStructural Contrastive Pretraining for Cross-Lingual Comprehension
跨语言理解的结构对比预训练
Nuo Chen, Linjun Shou, Tengtao Song, Ming Gong, Jian Pei, Jianhui Chang, Daxin Jiang, Jia Li*
ACL 2023 Findings ACL 2023 调查结果A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment
用于无监督知识图实体对齐的融合 Gromov-Wasserstein 框架
Jianheng Tang, Kangfei Zhao, Jia Li*
ACL 2023 Findings ACL 2023 调查结果Hierarchical Graph Learning for Protein-Protein Interaction
蛋白质-蛋白质相互作用的分层图学习
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]A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph data
图数据中 Gromov-Wasserstein 松弛的收敛单环算法
Jiajin Li, Jianheng Tang, Lemin Kong, Huikang Liu, Jia Li, Anthony Man-Cho So, Jose Blanchet
ICLR 2023Knowledge Graph Completion with Counterfactual Augmentation
通过反事实增强完成知识图谱
Heng Chang, Jie Cai, Jia Li*
WWW 2023Self-Supervised Hypergraph Representation Learning for Sociological Analysis
用于社会学分析的自监督超图表示学习
Xiangguo Sun, Hong Cheng, Bo Liu, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin
TKDE 2023Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
通过最大熵正则化图自动编码器处理丢失数据
Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Tingyang Xu, Peilin Zhao, Lanqing Li*, Fugee Tsung, Jia Li*
AAAI 2023 OralHuman Mobility Modeling During the COVID-19 Pandemic via Deep Graph Diffusion Infomax
通过深度图扩散 Infomax 在 COVID-19 大流行期间进行人体流动建模
Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li*
AAAI 2023Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning
维纳图反卷积网络改进图自监督学习
Jiashun Cheng, Man Li, Jia Li*, Fugee Tsung
AAAI 2023 [code] [news]Decision Support System for Chronic Diseases Based on Drug-Drug Interactions
基于药物-药物相互作用的慢性病决策支持系统
Tian Bian, Yuli Jiang, Jia Li*, Tingyang Xu*, Yu Rong, Yi Su, Timothy Kwok, Helen Meng, Hong Cheng
ICDE 2023Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport
通过联合结构学习和最优传输实现鲁棒属性图对齐
Jianheng Tang, Weiqi Zhang, Jiajin Li, Kangfei Zhao, Fugee Tsung, Jia Li*
ICDE 2023 [code]Semi-Supervised Hierarchical Graph Classification
半监督层次图分类
Jia Li, Yongfeng Huang, Heng Chang, Yu Rong
TPAMI 2022Rethinking Graph Neural Networks for Anomaly Detection
重新思考用于异常检测的图神经网络
Jianheng Tang, Jiajin Li, Ziqi Gao, Jia Li*
ICML 2022 [code] [news]Deconvolutional Networks on Graph Data
图数据上的反卷积网络
Jia Li, Jiajin Li, Yang Liu, Jianwei Yu, Yueting Li, Hong Cheng
NeurIPS 2021 [video][code]Mask-GVAE: Blind Denoising Graphs via Partition
Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng
WWW 2021 [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
通过隐藏个人对社区检测进行对抗性攻击
Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang
WWW 2020 Oral [code] WWW 2020 口头会议 [代码]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]Semi-Supervised Graph Classification: A Hierarchical Graph Perspective
半监督图分类：层次图视角
Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wenbing Huang, Junzhou Huang
WWW 2019 [pytorch] [tensorflow]TATC: Predicting Alzheimers Disease with Actigraphy Data
TATC：利用体动记录数据预测阿尔茨海默病
Jia Li, Yu Rong, Helen Meng, Zhihui Lu, Timothy Kwok, Hong Cheng
KDD 2018 Oral [talk] [video]
Work Experiences
Assistant Professor, Hong Kong University of Science and Technology, starting from Aug. 2021
香港科技大学助理教授，2021年8月起Senior Data Mining Engineer, Tencent, Shenzhen, 2014-2017
Fraud Detection System Programmer, China Mobile, Shenzhen, 2010-2013
欺诈检测系统程序员，中国移动，深圳，2010-2013
Supervision 监督
Jianheng Tang (PhD student since 2021 Fall, DSA Excellent Research Award 2023)
唐建恒（2021年秋季起在读博士生，2023年DSA优秀研究奖）Yang Liu (PhD student since 2021 Fall)
Ziqi Gao (PhD student since 2022 Spring, HKUST IPO Best Research Award 2022/23)
高子琪（2022年春季起博士生，2022/23年度科大IPO最佳研究奖）Nuo Chen (PhD student since 2022 Fall, DSA Merit Research Award 2023)
Jiawen Zhang (PhD student since 2022 Fall)
Yifan Niu (PhD student since 2022 Fall)
Haihong Zhao (PhD student since 2023 Fall)
Yuhan Li (PhD student since 2023 Fall)
Bing Tong (PhD student since 2023 Fall)
Aochuan Chen (PhD student since 2024 Spring)
sERVICES
PC member or Reviewer:
2022: WWW, KDD, ICML, NeurIPS, ICDE, TKDE, CIKM, WSDM
2023: ICLR, WWW, AI, KDD, ICML, NeurIPS, Nature Communications