Dr. CHAN, Edison Tsz Nam
Dr. CHAN, Edison Tsz Nam

陳梓楠博士
B.Eng., Ph.D.
Research Assistant Professor, Department of Computer Science
https://www.comp.hkbu.edu.hk/~edisonchan/
 

About

Dr. Tsz Nam Chan (Edison) is currently a research assistant professor in the Hong Kong Baptist University (HKBU). He is a data engineering researcher (for handling the efficiency issues in big data settings). He published several research papers in prestigious conferences and journals (CCF: A, top ranking in Google scholar and Microsoft) in both data engineering and data mining area, including SIGMOD, VLDB, ICDE and TKDE. Prior to joining the HKBU, he worked as the postdoctoral researcher in The University of Hong Kong (HKU) from Sep 2018 to Aug 2020. He received the PhD degree in computing and the BEng degree in electronic and information engineering from The Hong Kong Polytechnic University in 2019 and 2014, respectively. He also serves as the program committee members and reviewers of several prestigious conferences and journals, including IJCAI, WISE, IEEE TKDE and IEEE TC. In addition, he is also the proceedings chair of IEEE MDM2021 conference.


Research Interests

  • Kernel methods
  • Similarity measures, similarity search and pattern matching
  • Spatial and temporal data analysis (develop efficient algorithms for GIS)

Selected Publications

  • Tsz Nam Chan, Pak Lon Ip, Leong Hou U, Weng Hou Tong, Shivansh Mittal, Ye Li and Reynold Cheng. "KDV-Explorer: A Near Real-Time Kernel Density Visualization System for Spatial Analysis", Proceedings of International Conference on Very Large Data Bases (PVLDB), 2021 (demo track).
  • Tsz Nam Chan, Zhe Li, Leong Hou U, Jianliang Xu, Reynold Cheng. "Fast Augmentation Algorithms for Network Kernel Density Visualization", Proceedings of International Conference on Very Large Data Bases (PVLDB), 2021.
  • Zhe Li, Tsz Nam Chan, Man Lung Yiu, Christian S. Jensen. "PolyFit: Polynomial-based Indexing Approach for Fast Approximate Range Aggregate Queries", Proceedings of International Conference on Extending Database Technology (EDBT), 2021.
  • Hui Li, Tsz Nam Chan, Xianbiao Qi, Wuyuan Xie "Detail-Preserving Multi-Exposure Fusion with Edge-Preserving Structural Patch Decomposition", IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), To appear.
  • Zichen Zhu, Tsz Nam Chan, Reynold Cheng, Loc Do, Zhipeng Huang, Haoci Zhang. "Effective and Efficient Discovery of Top-k Meta Paths in Heterogeneous Information Networks", IEEE Transactions on Knowledge and Data Engineering (TKDE), To appear.
  • Tsz Nam Chan, Leong Hou U, Reynold Cheng, Man Lung Yiu, Shivansh Mittal. "Efficient Algorithms for Kernel Aggregation Queries", IEEE Transactions on Knowledge and Data Engineering (TKDE), To appear.
  • Tsz Nam Chan, Reynold Cheng, Man Lung Yiu. "QUAD: Quadratic-Bound-based Kernel Density Visualization" Proceedings of ACM Conference on Management of Data (SIGMOD), 2020.
  • Tsz Nam Chan, Man Lung Yiu, Leong Hou U. "The Power of Bounds: Answering Approximate Earth Mover's Distance with Parametric Bounds", IEEE Transactions on Knowledge and Data Engineering (TKDE), To appear.
  • Tsz Nam Chan, Man Lung Yiu, Leong Hou U. "KARL: Fast Kernel Aggregation Queries", IEEE International Conference on Data Engineering (ICDE), 2019.
  • Tsz Nam Chan, Man Lung Yiu, Kien A. Hua. "Efficient Sub-Window Nearest Neighbor Search on Matrix", IEEE Transactions on Knowledge and Data Engineering (TKDE), 2017.
  • Hui Li, Tsz Nam Chan, Man Lung Yiu, Nikos Mamoulis. "FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems", Proceedings of ACM Conference on Management of Data (SIGMOD), 2017.