Data Intelligence Lab@HKU
(Data Mining, Machine Learning, Knowledge Discovery, Information Retrieval)
The Data Intelligence Lab (directed by Dr. Chao Huang) at the University of Hong Kong focuses on a diverse set of problems in data science with the broader mission of Artificial Intelligence for Social Good and Knowledge Discovery. Data Intelligence Lab is affiliated with the Computer Science Department & Institute of Data Science at HKU.
Welcome to the Data Intelligence Lab! We are a team of dedicated researchers who specialize in Data Science at HKU :)
π¨βπ»β¨ Our research works are open-sourced! Explore them on our Lab's GitHub Repository πΒ
Recent Research Interests:
π₯ Large Language Models
General Graph Foundation Models (e.g., OpenGraph)
Heterogeneous Graph Language Models (e.g., HiGPT)
Spatio-Temporal Large Language Models (e.g., UrbanGPT)
Large Language Models for Graph Structure Learning (e.g., GraphEdit)
General Large Language Models for Graphs (e.g., [SIGIR'2024] GraphGPT)
Large Language Models for Recommendation (e.g., [WSDM'2024] LLMRec, [WWW'2024] RLMRec)
π₯ Information Retrieval/Recommendation/Personalization
Contrastive Learning for Recommendation (e.g., [ICLR'2023] LightGCL, [SIGIR'2022] HCCF, [WSDM'2022] CML, [KDD'2023] AdaGCL)
Masked Autoencoder (e.g., [WWW'2023] AutoCF ); [SIGIR'2023] MAERec )
Disentangled Graph LearningΒ (e.g., [SIGIR'2023] DCCF, [ICDE'2023] DGNN )
Knowledge Distillation for Recommendation (e.g., [WWW'2023] SimRec )
Multi-Behavior Recommendation (e.g., [SIGIR'2021] MBGMN, [AAAI'2021] KHGT, [SIGIR'2020] MATN )
Sequential/Session-based Recommendation (e.g., [WWW'2023] DCRec, [KDD'2022] MBHT, [AAAI'2021] MTD )
Multi-Modal Recommender Systems (e.g., [WWW'2023] MMSSL )
Social Recommendation (e.g., [CIKM'2021] SMIN, [AAAI'2021] KCGN, [IJCAI'2023] DSL )
Prompt Learning for Recommender Systems (e.g., [WWW'2024] GraphPro, [WWW'2024] PromptMM)
π₯ Spatio-Temporal Data Mining/Urban Computing/Intelligent Transportation
Spatio-Temporal Pre-Training (e.g., [WWW'2023] AutoST, [ICML'2023] GraphST, [NeurIPS'2023] GPT-ST)
Spatio-Temporal Self-Supervised Learning (e.g., [AAAI'2023] ST-SSL, [CIKM'2023] CL4ST )
Spatio-Temporal Graph Neural Networks (e.g., [IJCAI'2021] ST-SHN )
Explainable Spatio-Temporal Learning (e.g., [CIKM'2023] STExplainer)
Crime Prediction (e.g., [ICDE'2022] ST-SHL )
Traffic Flow Prediction (e.g., [AAAI'2021] ST-GDN, [CIKM'2020] ST-CGA )
Human Mobility Modeling (e.g., [AAAI'2023] SRINet )
Anomaly Detection (e.g., [ICDE'2023] OASD )
π₯ Graph Mining/Graph Neural Networks/Knowledge Graph
π "I am fortunate to work with such a talented group of researchers, whose dedication, expertise, and passion for their work never cease to inspire me" π
π Current Members: π
Lianghao Xia (HKU-Postdoc) - [2021-Current]
First-Authored Achievements:Β
π 2023: WWW'23 (AutoCF), WWW'23 (SimRec), ICDE'23 (DGNN)
π 2022: KDD'22 (SHT), SIGIR'22 (HCCF) , TKDE'22 (TGT)
π 2021: SIGIR'21 (MBGMN), IJCAI'21 (ST-SHN), AAAI'21 (KHGT)
π 2020: SIGIR'20 (MATN)
Highlights:
π WWW'2023 Spotlight Paper (16/323)Β
π SIGIR'2022 Most Influential Paper (Rank 2nd/161)Β
π SIGIR'2021 Top-10 Most Cited Paper (10/151)Β
Wei Wei (HKU-Ph.D) - [2022-Current]
First-Authored Achievements:
π 2024: WSDM'24 (LLMRec), WWW'24 (PromptMM)
π 2023: WWW'23 (MMSSL), Recsys'23 (RCL)
π 2022: WSDM'22 (CML)
Highlights:Β
π WWW'2023 Most Influential Paper (Rank 3rd/323)Β Β Β Β
π WSDM'2022 Best Paper CandidateΒ
π WSDM'2022 Top-2 Most Cited Paper (2/159)
Jiabin Tang (HKU-Ph.D) - [2023-Current]
First-Authored Achievements:Β
π 2024:Β SIGIR (GraphGPT)
π 2023: CIKM'23 (STExplainer), CIKM'23 (CL4ST)
Highlights:Β
π Leading Contributor for the Open-Sourced Project GraphGPTΒ
π Alumni: π
Mengru Chen (SCUT-RA) - [2022]
First-Authored Achievements:
π 2023: WSDM'23 (HGCL)
Highlights:
π WSDM'2023 Top-2 Most Cited Paper (2/123)
Yuxi Liu (Tongji-RA) - [2022]
First-Authored Achievements:
π 2024: SIGIR'24 (SelfGNN)
π Prospective Students:
We (The Data Intelligence Lab) are actively recruiting self-motivated students who are excited about doing fun research about Data Science and AI.
(HKU is ranked #21 in QS World University Rankings 2023)
If fitting to the following cases, please feel free to drop an email at chaohuang75@gmail.com.
βοΈ Applicants for HKU Ph.D/MPhli Program:
Please select my name as the potential supervisor in the application system. I will try to discuss your application case by case.
Application detailed information and timeline can be found at HKU CS Ph.D. Admission.
Several Self-financed Ph.D./MPhli student positions are available.
βοΈ Master and Undergraduate Students at HKU:
Current master and undergraduate students at HKU are welcome to join our lab, if you are interested in our research projects.
βοΈ Research Assistant/Remote Interns/Visitors:
Research assistants, remote research interns, visitors are welcome to collaborate with me on various research projects (preferably >= 6 months).
Email:
Use email subject as "Prospective Student: Your Name - Your Affiliation".
Please describe your i) Education background; ii) Research experience and achievements; iii) Programming/Theoretical skills.
Please attach your resume (including your publications, ranking/GPA, anything important) with a pdf file.