Invited Talks

• 2024/04/06: “Time-LLM: Time Series Forecasting by Reprogramming Large Language Models” at Talk on MLLM [Slides]

• 2024/02/29: “Time-LLM: Time Series Forecasting by Reprogramming Large Language Models” at AI TIME [Slides] [Video]

• 2023/10/12: “A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection” at The TGL Workshop [Slides]

• 2023/03/02: “Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs” at The TGL Workshop [Slides] [Video]

• 2023/02/23: “Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs” at AI TIME [Video]

• 2022/10/20: “Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs” at The 36th Conference on Neural Information Processing Systems [Slides] [Video]

• 2021/09/27: “ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning” at The 30th ACM International Conference on Information and Knowledge Management [Slides]

• 2021/07/25: “Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning” at The 30th International Joint Conference on Artificial Intelligence [Slides]

Services

a) Conference Organization/Reviewer

• Organizer, The Tutorial of Graph Self-Supervised Learning: Taxonomy, Frontiers, and Applications at The 2023 International Joint Conference on Neural Networks
• Session Chair, Deep Learning for Graphs (DL4G) at The 2023 International Joint Conference on Neural Networks
• Reviewer, The 41st International Conference on Machine Learning (ICML, 2024)
• PC Member, The 33rd International Joint Conference on Artificial Intelligence (IJCAI, 2024)
• PC Member, The 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD, 2024)
• PC Member, Temporal Graph Learning (TGL) Workshop (NeurIPS, 2023)
• Reviewer, The 12th International Conference on Learning Representations (ICLR, 2024)
• PC Member, The 38th Annual AAAI Conference on Artificial Intelligence (AAAI, 2024)
• Reviewer, Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS, 2023)
• PC Member, The 9th SIGKDD International Workshop on Mining and Learning From Time Series (MiLeTS) (SIGKDD, 2023)
• PC Member, The Second Workshop of Artificial Intelligence for Time Series Analysis (AI4TS): Theory, Algorithms, and Applications (IJCAI, 2023)
• PC Member, The 32nd International Joint Conference on Artificial Intelligence (IJCAI, 2023)
• PC Member, The 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD, 2023)
• PC Member, IEEE World Congress on Computational Intelligence (WCCI, 2022)
• PC Member, IEEE International Conference on Data Science and Systems (DSS, 2021)

b) Journal Reviewer

• IEEE Transactions on Pattern Analysis and Machine Intelligence (IF: 23.6)
• IEEE Transactions on Cybernetics (IF: 19.118)
• IEEE Transactions on Knowledge and Data Engineering (IF: 9.235)
• IEEE Transactions on Neural Networks and Learning Systems (IF: 14.255)
• IEEE Transactions on Geoscience and Remote Sensing (IF: 8.125)
• Technological Forecasting & Social Change (IF: 10.884)
• Future Generation Computer Systems (IF: 7.307)
• Neural Computing and Applications (IF: 5.130)

c) External Reviewer

• The 40th International Conference on Machine Learning (ICML, 2023)
• The 11th International Conference on Learning Representations (ICLR, 2023)
• The 35th Conference on Neural Information Processing Systems (NeurIPS, 2022)
• The ACM Web Conference (WWW, 2022)
• The 15th ACM International WSDM Conference (WSDM, 2022)
• The 22nd IEEE International Conference on Data Mining (ICDM, 2022)
• The 28th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD, 2022)
• The 14th ACM International WSDM Conference (WSDM, 2021)

Teaching

• 2024 Spring FIT5212 Data Analysis for Semi-Structured Data
• 2023 Spring FIT5212 Data Analysis for Semi-Structured Data (Students’ average satisfaction: 92/100 🥳)