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Multi-scale 2D Representation Learning for weakly-supervised moment retrieval


Nov 04, 2021
Ding Li, Rui Wu, Yongqiang Tang, Zhizhong Zhang, Wensheng Zhang

* 8 pages, 4 figuers. Accepted for publication in 2020 25th International Conference on Pattern Recognition (ICPR) 

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DistFL: Distribution-aware Federated Learning for Mobile Scenarios


Oct 22, 2021
Bingyan Liu, Yifeng Cai, Ziqi Zhang, Yuanchun Li, Leye Wang, Ding Li, Yao Guo, Xiangqun Chen

* This paper has been accepted by IMWUT2021(Ubicomp) 

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Learning Heatmap-Style Jigsaw Puzzles Provides Good Pretraining for 2D Human Pose Estimation


Dec 13, 2020
Kun Zhang, Rui Wu, Ping Yao, Kai Deng, Ding Li, Renbiao Liu, Chuanguang Yang, Ge Chen, Min Du, Tianyao Zheng


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SIGL: Securing Software Installations Through Deep Graph Learning


Aug 26, 2020
Xueyuan Han, Xiao Yu, Thomas Pasquier, Ding Li, Junghwan Rhee, James Mickens, Margo Seltzer, Haifeng Chen

* 18 pages, to appear in the 30th USENIX Security Symposium (USENIX Security '21) 

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Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs


May 25, 2020
Lei Cai, Zhengzhang Chen, Chen Luo, Jiaping Gui, Jingchao Ni, Ding Li, Haifeng Chen


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Heterogeneous Graph Matching Networks


Oct 17, 2019
Shen Wang, Zhengzhang Chen, Xiao Yu, Ding Li, Jingchao Ni, Lu-An Tang, Jiaping Gui, Zhichun Li, Haifeng Chen, Philip S. Yu


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Deep Program Reidentification: A Graph Neural Network Solution


Dec 10, 2018
Shen Wang, Zhengzhang Chen, Ding Li, Lu-An Tang, Jingchao Ni, Zhichun Li, Junghwan Rhee, Haifeng Chen, Philip S. Yu


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