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Yue Zhao

Intrinsically Motivated Self-supervised Learning in Reinforcement Learning


Jun 26, 2021
Yue Zhao, Chenzhuang Du, Hang Zhao, Tiejun Li

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RIDnet: Radiologist-Inspired Deep Neural Network for Low-dose CT Denoising


May 15, 2021
Kecheng Chen, Jiayu Sun, Jiang Shen, Jixiang Luo, Xinyu Zhang, Xuelin Pan, Dongsheng Wu, Yue Zhao, Miguel Bento, Yazhou Ren, Xiaorong Pu

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* under review 
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Revisiting Skeleton-based Action Recognition


Apr 28, 2021
Haodong Duan, Yue Zhao, Kai Chen, Dian Shao, Dahua Lin, Bo Dai

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A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice?


Apr 12, 2021
Martin Q. Ma, Yue Zhao, Xiaorong Zhang, Leman Akoglu

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A Large-scale Study on Unsupervised Outlier Model Selection: Evaluating the Internal Model Evaluation Strategies


Apr 03, 2021
Martin Q. Ma, Yue Zhao, Xiaorong Zhang, Leman Akoglu

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PointBA: Towards Backdoor Attacks in 3D Point Cloud


Mar 30, 2021
Xinke Li, Zhiru Chen, Yue Zhao, Zekun Tong, Yabang Zhao, Andrew Lim, Joey Tianyi Zhou

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HufuNet: Embedding the Left Piece as Watermark and Keeping the Right Piece for Ownership Verification in Deep Neural Networks


Mar 25, 2021
Peizhuo Lv, Pan Li, Shengzhi Zhang, Kai Chen, Ruigang Liang, Yue Zhao, Yingjiu Li

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Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics


Feb 18, 2021
Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik

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PyHealth: A Python Library for Health Predictive Models


Jan 11, 2021
Yue Zhao, Zhi Qiao, Cao Xiao, Lucas Glass, Jimeng Sun

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TSGCNet: Discriminative Geometric Feature Learning with Two-Stream GraphConvolutional Network for 3D Dental Model Segmentation


Dec 26, 2020
Lingming Zhang, Yue Zhao, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen

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* 10 pages, 7 figures 
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Automating Outlier Detection via Meta-Learning


Sep 22, 2020
Yue Zhao, Ryan A. Rossi, Leman Akoglu

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* 17 pages 
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SYNC: A Copula based Framework for Generating Synthetic Data from Aggregated Sources


Sep 20, 2020
Zheng Li, Yue Zhao, Jialin Fu

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* Proceedings of the 2020 IEEE International Conference on Data Mining Workshops (ICDMW) 
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COPOD: Copula-Based Outlier Detection


Sep 20, 2020
Zheng Li, Yue Zhao, Nicola Botta, Cezar Ionescu, Xiyang Hu

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* Proceedings of the 2020 International Conference on Data Mining (ICDM) 
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TODS: An Automated Time Series Outlier Detection System


Sep 18, 2020
Kwei-Harng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Hu

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* Under Review 
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Actor-Action Video Classification CSC 249/449 Spring 2020 Challenge Report


Aug 18, 2020
Jing Shi, Zhiheng Li, Haitian Zheng, Yihang Xu, Tianyou Xiao, Weitao Tan, Xiaoning Guo, Sizhe Li, Bin Yang, Zhexin Xu, Ruitao Lin, Zhongkai Shangguan, Yue Zhao, Jingwen Wang, Rohan Sharma, Surya Iyer, Ajinkya Deshmukh, Raunak Mahalik, Srishti Singh, Jayant G Rohra, Yipeng Zhang, Tongyu Yang, Xuan Wen, Ethan Fahnestock, Bryce Ikeda, Ian Lawson, Alan Finkelstein, Kehao Guo, Richard Magnotti, Andrew Sexton, Jeet Ketan Thaker, Yiyang Su, Chenliang Xu

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Intra- and Inter-Action Understanding via Temporal Action Parsing


May 20, 2020
Dian Shao, Yue Zhao, Bo Dai, Dahua Lin

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* CVPR 2020 Poster; Project page: https://sdolivia.github.io/TAPOS/ 
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FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding


Apr 14, 2020
Dian Shao, Yue Zhao, Bo Dai, Dahua Lin

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* CVPR 2020 Oral (3 strong accepts); Project page: https://sdolivia.github.io/FineGym/ 
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Omni-sourced Webly-supervised Learning for Video Recognition


Mar 29, 2020
Haodong Duan, Yue Zhao, Yuanjun Xiong, Wentao Liu, Dahua Lin

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A random-batch Monte Carlo method for many-body systems with singular kernels


Mar 14, 2020
Lei Li, Zhenli Xu, Yue Zhao

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* 23 pages, 5 figures; To be published at SIAM J. Sci. Comput 
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SUOD: A Scalable Unsupervised Outlier Detection Framework


Mar 11, 2020
Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Cao Xiao, Yunlong Wang, Jimeng Sun, Leman Akoglu

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* Submitted to KDD '20 Applied Data Science Track. arXiv admin note: substantial text overlap with arXiv:2002.03222 
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On Isometry Robustness of Deep 3D Point Cloud Models under Adversarial Attacks


Mar 10, 2020
Yue Zhao, Yuwei Wu, Caihua Chen, Andrew Lim

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* This paper was accepted for presentation at CVPR2020 
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SUOD: Toward Scalable Unsupervised Outlier Detection


Feb 08, 2020
Yue Zhao, Xueying Ding, Jianing Yang, Haoping Bai

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* In AAAI-20 Workshop on Artificial Intelligence for Cyber Security (AICS) 
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Extracting clinical concepts from user queries


Dec 23, 2019
Yue Zhao, John Handley

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* 8 pages, 4 figures. Added references. Corrected wording and typos, results unchanged 
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XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning


Dec 01, 2019
Yue Zhao, Maciej K. Hryniewicki

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* Proceedings of the 2018 International Joint Conference on Neural Networks (IJCNN) 
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DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles


Nov 23, 2019
Yue Zhao, Maciej K. Hryniewicki

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* ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Outlier Detection De-constructed Workshop, 2018 
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RNN-Test: Adversarial Testing Framework for Recurrent Neural Network Systems


Nov 11, 2019
Jianmin Guo, Yue Zhao, Xueying Han, Yu Jiang, Jiaguang Sun

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Combining Machine Learning Models using combo Library


Sep 21, 2019
Yue Zhao, Xuejian Wang, Cheng Cheng, Xueying Ding

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* Under Review for AAAI 2020 (demo track) 
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