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Author Information
Ting Chen (UCLA)
Martin Min (NEC Laboratories America)
Martin Renqiang Min received his MSc and PhD degrees in Computer Science from Machine Learning Group, Department of Computer Science, University of Toronto, respectively, in 2005 and 2010. He did a one-year postdoc at Yale University. In May 2011, he accepted a tenure-track assistant professor position from Department of Computer Science and Engineering, Hong Kong University of Science and Technology which has a beautiful campus. His research interests include machine learning and biomedical informatics, focusing on deep learning, graphical models, text understanding, video analysis, and omics for precision medicine. He contributed to the ENCODE Project, for which he published a co-first author research article on Nature. His recent text-to-video research was reported by Science, MIT Technology Review, and many other international news media. He also actively contributes to scientific services, for which he has been a program committee member of ICML, ICLR, NIPS, and AAAI for many years. He was a co-chair of NIPS Workshop on Machine Learning in Computational Biology in 2014.
Yizhou Sun (UCLA)
Related Events (a corresponding poster, oral, or spotlight)
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2018 Poster: Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations »
Wed. Jul 11th 04:15 -- 07:00 PM Room Hall B #190
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2021 Poster: GLSearch: Maximum Common Subgraph Detection via Learning to Search »
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2021 Spotlight: GLSearch: Maximum Common Subgraph Detection via Learning to Search »
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2020 Workshop: Graph Representation Learning and Beyond (GRL+) »
Petar Veličković · Michael M. Bronstein · Andreea Deac · Will Hamilton · Jessica Hamrick · Milad Hashemi · Stefanie Jegelka · Jure Leskovec · Renjie Liao · Federico Monti · Yizhou Sun · Kevin Swersky · Rex (Zhitao) Ying · Marinka Zitnik -
2020 Poster: Differentiable Product Quantization for End-to-End Embedding Compression »
Ting Chen · Lala Li · Yizhou Sun