Events for
Past Seminars and Events
April 21, 2022
April 20, 2022
April 13, 2022
  • Title: ASTRI Day @ HKU Video

    Time: 04:00pm 

    Venue: Online via Zoom (Registration is required)

    Speaker(s): Leaders & People from ASTRI

    Remark(s): 

April 12, 2022
April 06, 2022
  • Title: Advanced Topics in Graph Representation Learning

    Time: 02:00pm 

    Venue: Online via Zoom (Registration is required - by invitation)

    Speaker(s): Dr. Chao Huang, Assistant Professor, Musketeers Foundation Institute of Data Science (HKU-IDS) and Dept. of CS, HKU

    Remark(s): 

    20220223 seminar banner

    The Department of Computer Science is pleased to announce the following interesting mini lecture series to be given by Dr. Chao Huang in February - April 2022. All CS RPg students and senior undergraduate students are welcome to join.

     

    Title: Advanced Topics in Graph Representation Learning
    Speaker: Dr. Chao Huang, Assistant Professor, Musketeers Foundation Institute of Data Science (HKU-IDS) and Department of Computer Science, HKU
    Period: February 23 - April 6, 2022 (Wednesday) (total 5 lectures, see detailed schedule below)
    Time: 2:00 pm - 3:00 pm
    Venue: Online via Zoom (Registration is required - by invitation)

     

    Description:
    Graph representation learning research has grown at an incredible pace in data mining and machine learning communities. This lecture series will cover recent core techniques and advances in graph representation research for modeling a variety of real-world applications and problems, including graph representation, heterogeneous graph mining, graph neural networks, recommendation with graphs, graph-based spatial-temporal learning, and others.

     

    About the Speaker:
    Dr. Chao Huang, Assistant Professor, Musketeers Foundation Institute of Data Science (HKU-IDS) and Department of Computer Science, HKU. His research focuses on developing novel machine learning frameworks to tackle various challenges in Data Mining, Information Retrieval, Spatial-Temporal Data Analytics, User Behavior Modeling, Recommendation, Graph Mining, and Deep Representation Learning. Prior to that, he received his Ph.D. in Computer Science from the University of Notre Dame in USA.

     

    Schedule and topics:

    Lecture 1:
    February 23, 2022 (Wed)

    Introduction of graph mining;
    Core concepts of graph representation learning/network embedding;
    Heterogeneous graph analysis

    Lecture 2:
    March 2, 2022 (Wed)

    Graph neural networks (GNN)/GNN-based applications/self-supervised graph learning

    Lecture 3:
    March 23, 2022 (Wed)

    Recommendation with graphs I;
    Social and knowledge-aware recommender systems/user personalization

    Lecture 4:
    March 30, 2022 (Wed)

    Recommendation with graphs II;
    Recommendation with behavior heterogeneity and diversity

    Lecture 5:
    April 6, 2022 (Wed)

    Graph-based spatial-temporal learning for smart cities

March 30, 2022
  • Title: Elevating the human experience: XR technologies and the Metaverse

    Time: 03:30pm 

    Venue: Online via Zoom (Registration is required)

    Speaker(s): Dr. Loretta Choi, Lecturer, Department of Computer Science, HKU

    Remark(s): 

  • Title: Advanced Topics in Graph Representation Learning

    Time: 02:00pm 

    Venue: Online via Zoom (Registration is required - by invitation)

    Speaker(s): Dr. Chao Huang, Assistant Professor, Musketeers Foundation Institute of Data Science (HKU-IDS) and Dept. of CS, HKU

    Remark(s): 

    20220223 seminar banner

    The Department of Computer Science is pleased to announce the following interesting mini lecture series to be given by Dr. Chao Huang in February - April 2022. All CS RPg students and senior undergraduate students are welcome to join.

     

    Title: Advanced Topics in Graph Representation Learning
    Speaker: Dr. Chao Huang, Assistant Professor, Musketeers Foundation Institute of Data Science (HKU-IDS) and Department of Computer Science, HKU
    Period: February 23 - April 6, 2022 (Wednesday) (total 5 lectures, see detailed schedule below)
    Time: 2:00 pm - 3:00 pm
    Venue: Online via Zoom (Registration is required - by invitation)

     

    Description:
    Graph representation learning research has grown at an incredible pace in data mining and machine learning communities. This lecture series will cover recent core techniques and advances in graph representation research for modeling a variety of real-world applications and problems, including graph representation, heterogeneous graph mining, graph neural networks, recommendation with graphs, graph-based spatial-temporal learning, and others.

     

    About the Speaker:
    Dr. Chao Huang, Assistant Professor, Musketeers Foundation Institute of Data Science (HKU-IDS) and Department of Computer Science, HKU. His research focuses on developing novel machine learning frameworks to tackle various challenges in Data Mining, Information Retrieval, Spatial-Temporal Data Analytics, User Behavior Modeling, Recommendation, Graph Mining, and Deep Representation Learning. Prior to that, he received his Ph.D. in Computer Science from the University of Notre Dame in USA.

     

    Schedule and topics:

    Lecture 1:
    February 23, 2022 (Wed)

    Introduction of graph mining;
    Core concepts of graph representation learning/network embedding;
    Heterogeneous graph analysis

    Lecture 2:
    March 2, 2022 (Wed)

    Graph neural networks (GNN)/GNN-based applications/self-supervised graph learning

    Lecture 3:
    March 23, 2022 (Wed)

    Recommendation with graphs I;
    Social and knowledge-aware recommender systems/user personalization

    Lecture 4:
    March 30, 2022 (Wed)

    Recommendation with graphs II;
    Recommendation with behavior heterogeneity and diversity

    Lecture 5:
    April 6, 2022 (Wed)

    Graph-based spatial-temporal learning for smart cities

March 25, 2022
March 23, 2022
  • Title: Mysteries of NFTs and how they shape the Metaverse

    Time: 03:30pm 

    Venue: Online via Zoom (Registration is required)

    Speaker(s): Dr. John Yuen, Assistant Professor, Department of Computer Science, HKU

    Remark(s): 

  • Title: Advanced Topics in Graph Representation Learning

    Time: 02:00pm 

    Venue: Online via Zoom (Registration is required - by invitation)

    Speaker(s): Dr. Chao Huang, Assistant Professor, Musketeers Foundation Institute of Data Science (HKU-IDS) and Dept. of CS, HKU

    Remark(s): 

    20220223 seminar banner

    The Department of Computer Science is pleased to announce the following interesting mini lecture series to be given by Dr. Chao Huang in February - April 2022. All CS RPg students and senior undergraduate students are welcome to join.

     

    Title: Advanced Topics in Graph Representation Learning
    Speaker: Dr. Chao Huang, Assistant Professor, Musketeers Foundation Institute of Data Science (HKU-IDS) and Department of Computer Science, HKU
    Period: February 23 - April 6, 2022 (Wednesday) (total 5 lectures, see detailed schedule below)
    Time: 2:00 pm - 3:00 pm
    Venue: Online via Zoom (Registration is required - by invitation)

     

    Description:
    Graph representation learning research has grown at an incredible pace in data mining and machine learning communities. This lecture series will cover recent core techniques and advances in graph representation research for modeling a variety of real-world applications and problems, including graph representation, heterogeneous graph mining, graph neural networks, recommendation with graphs, graph-based spatial-temporal learning, and others.

     

    About the Speaker:
    Dr. Chao Huang, Assistant Professor, Musketeers Foundation Institute of Data Science (HKU-IDS) and Department of Computer Science, HKU. His research focuses on developing novel machine learning frameworks to tackle various challenges in Data Mining, Information Retrieval, Spatial-Temporal Data Analytics, User Behavior Modeling, Recommendation, Graph Mining, and Deep Representation Learning. Prior to that, he received his Ph.D. in Computer Science from the University of Notre Dame in USA.

     

    Schedule and topics:

    Lecture 1:
    February 23, 2022 (Wed)

    Introduction of graph mining;
    Core concepts of graph representation learning/network embedding;
    Heterogeneous graph analysis

    Lecture 2:
    March 2, 2022 (Wed)

    Graph neural networks (GNN)/GNN-based applications/self-supervised graph learning

    Lecture 3:
    March 23, 2022 (Wed)

    Recommendation with graphs I;
    Social and knowledge-aware recommender systems/user personalization

    Lecture 4:
    March 30, 2022 (Wed)

    Recommendation with graphs II;
    Recommendation with behavior heterogeneity and diversity

    Lecture 5:
    April 6, 2022 (Wed)

    Graph-based spatial-temporal learning for smart cities




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The University of Hong Kong
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香港大學計算機科學系
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