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Yue Zhao

Offline Supervised Learning V.S. Online Direct Policy Optimization: A Comparative Study and A Unified Training Paradigm for Neural Network-Based Optimal Feedback Control

Nov 29, 2022
Yue Zhao, Jiequn Han

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Toward Unsupervised Outlier Model Selection

Nov 03, 2022
Yue Zhao, Sean Zhang, Leman Akoglu

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* ICDM 2022. Code available at https://github.com/yzhao062/ELECT

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Real-time Online Video Detection with Temporal Smoothing Transformers

Sep 19, 2022
Yue Zhao, Philipp Krähenbühl

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* ECCV 2022; Code available at https://github.com/zhaoyue-zephyrus/TeSTra

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Diffusion Models: A Comprehensive Survey of Methods and Applications

Sep 15, 2022
Ling Yang, Zhilong Zhang, Shenda Hong, Runsheng Xu, Yue Zhao, Yingxia Shao, Wentao Zhang, Ming-Hsuan Yang, Bin Cui

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* 33 pages, citing 255 papers, project: https://github.com/YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy

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Towards Unsupervised HPO for Outlier Detection

Aug 24, 2022
Yue Zhao, Leman Akoglu

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Benchmarking Node Outlier Detection on Graphs

Jun 21, 2022
Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu

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* Preprint. Under review. Benchmark available at https://github.com/pygod-team/pygod/tree/main/benchmark

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ADBench: Anomaly Detection Benchmark

Jun 19, 2022
Songqiao Han, Xiyang Hu, Hailiang Huang, Mingqi Jiang, Yue Zhao

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* All authors contribute equally and are listed alphabetically. Code available at https://github.com/Minqi824/ADBench

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