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Tsz Nam Chan
Also published under:T. Chan
Affiliation
College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China
Topic
Kernel Function,Priority Queue,Additive Kernel,Computer Vision,Distance Threshold,Gaussian Kernel,Graph Database,Graph Learning,Graph Neural Networks,Large-scale Datasets,Multilayer Perceptron,Node Embeddings,Pair Of Nodes,Pedestrian Detection,Polynomial Kernel,Shortest Path,Upper Bound,Upper Bound Of Function,Accurate Method,Additional Functions,Additional Space,Aggregation Kernel,Ambiguity,Ambiguous Regions,Anomaly Detection,Approximate K-nearest Neighbor,Approximate Value,Attention Heads,Attention Map,Attention Mechanism,Attention Module,Binary Cross Entropy,Camera Motion,Chemical Information,Citation Network,Classification Error,Common Operations,Competitive Dynamics,Complete Information,Comprehensive Evaluation,Computational Resources,Computer Science,Computer Technology,Construction Algorithm,Convolutional Neural Network,Coordinate Descent,Coordinate Descent Method,Cost Method,Current Node,Data Partitioning,
Biography
Tsz Nam Chan (Member, IEEE) received the bachelor's degree in electronic and information engineering and the PhD degree in computer science from the Hong Kong Polytechnic University, Hong Kong, in 2014 and 2019, respectively. He worked as the postdoctoral researcher with the University of Hong Kong from September 2018 to August 2020. He is currently a research assistant professor with the Hong Kong Baptist University. His research interests include multidimensional similarity search, pattern matching, and kernel methods for machine learning.