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A Review of Federated Learning in Energy Systems


Aug 20, 2022
Xu Cheng, Chendan Li, Xiufeng Liu


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Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification


Aug 18, 2022
Quanshi Zhang, Xu Cheng, Yilan Chen, Zhefan Rao


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Proving Common Mechanisms Shared by Twelve Methods of Boosting Adversarial Transferability


Jul 24, 2022
Quanshi Zhang, Xin Wang, Jie Ren, Xu Cheng, Shuyun Lin, Yisen Wang, Xiangming Zhu


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Masked Autoencoders for Generic Event Boundary Detection CVPR'2022 Kinetics-GEBD Challenge


Jun 17, 2022
Rui He, Yuanxi Sun, Youzeng Li, Zuwei Huang, Feng Hu, Xu Cheng, Jie Tang


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Why Adversarial Training of ReLU Networks Is Difficult?


May 30, 2022
Xu Cheng, Hao Zhang, Yue Xin, Wen Shen, Jie Ren, Quanshi Zhang


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GRAND+: Scalable Graph Random Neural Networks


Mar 12, 2022
Wenzheng Feng, Yuxiao Dong, Tinglin Huang, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, Jie Tang

* 11 pages, WWW 2022 

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Flexible-Modal Face Anti-Spoofing: A Benchmark


Feb 16, 2022
Zitong Yu, Chenxu Zhao, Kevin H. M. Cheng, Xu Cheng, Guoying Zhao


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Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings


Jan 14, 2022
Ningyu Zhang, Xin Xie, Xiang Chen, Shumin Deng, Chuanqi Tan, Fei Huang, Xu Cheng, Huajun Chen

* Work in progress 

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A Unified Game-Theoretic Interpretation of Adversarial Robustness


Nov 08, 2021
Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Yiting Chen, Xu Cheng, Xin Wang, Meng Zhou, Jie Shi, Quanshi Zhang

* the previous version is arXiv:2103.07364, but I mistakenly apply a new ID for the paper 

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