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An Empirical Study: Extensive Deep Temporal Point Process


Oct 25, 2021
Haitao Lin, Cheng Tan, Lirong Wu, Zhangyang Gao, Stan. Z. Li

* 22 pages, 8 figures 

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Extensive Deep Temporal Point Process


Oct 19, 2021
Haitao Lin, Cheng Tan, Lirong Wu, Zhangyang Gao, Stan. Z. Li

* 21 pages 

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Git: Clustering Based on Graph of Intensity Topology


Oct 04, 2021
Zhangyang Gao, Haitao Lin, Cheng Tan, Lirong Wu, Stan. Z Li

* 7 pages of main text, 5 pages appendix, clustering method 

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Serving DNN Models with Multi-Instance GPUs: A Case of the Reconfigurable Machine Scheduling Problem


Sep 18, 2021
Cheng Tan, Zhichao Li, Jian Zhang, Yu Cao, Sikai Qi, Zherui Liu, Yibo Zhu, Chuanxiong Guo


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Co-learning: Learning from Noisy Labels with Self-supervision


Aug 30, 2021
Cheng Tan, Jun Xia, Lirong Wu, Stan Z. Li

* ACM Multimedia 2021 

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GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction


Jun 21, 2021
Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan. Z. Li


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Self-supervised on Graphs: Contrastive, Generative,or Predictive


May 24, 2021
Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan. Z. Li


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Recursive Exponential Weighting for Online Non-convex Optimization


Sep 13, 2017
Lin Yang, Cheng Tan, Wing Shing Wong


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