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Generative Causal Explanations for Graph Neural Networks


Apr 14, 2021
Wanyu Lin, Hao Lan, Baochun Li

* 10 pages 

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Towards Assessment of Randomized Smoothing Mechanisms for Certifying Adversarial Robustness


Jun 07, 2020
Tianhang Zheng, Di Wang, Baochun Li, Jinhui Xu

* Correct the some details of the theorems and proofs 

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Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition


Jun 06, 2020
Tianhang Zheng, Sheng Liu, Changyou Chen, Junsong Yuan, Baochun Li, Kui Ren


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Towards Assessment of Randomized Mechanisms for Certifying Adversarial Robustness


May 27, 2020
Tianhang Zheng, Di Wang, Baochun Li, Jinhui Xu

* Refine the proofs, and add more theorems and experiments 

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Shoestring: Graph-Based Semi-Supervised Learning with Severely Limited Labeled Data


Oct 28, 2019
Wanyu Lin, Zhaolin Gao, Baochun Li

* 8 pages, 3 figures, source code will be released soon 

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Fast Distributed Deep Learning via Worker-adaptive Batch Sizing


Jun 07, 2018
Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li


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