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ReLACE: Reinforcement Learning Agent for Counterfactual Explanations of Arbitrary Predictive Models

Oct 22, 2021
Ziheng Chen, Fabrizio Silvestri, Gabriele Tolomei, He Zhu, Jia Wang, Hongshik Ahn

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TENT: Text Classification Based on ENcoding Tree Learning

Oct 05, 2021
Chong Zhang, Junran Wu, He Zhu, Ke Xu

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Intra-Class Uncertainty Loss Function for Classification

Apr 12, 2021
He Zhu, Shan Yu

* Accepted to ICME 2021 

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Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation

Dec 31, 2020
Yichi Zhang, Qingcheng Liao, Lin Yuan, He Zhu, Jiezhen Xing, Jicong Zhang

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FakeSafe: Human Level Data Protection by Disinformation Mapping using Cycle-consistent Adversarial Network

Dec 10, 2020
He Zhu, Dianbo Liu

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Patient similarity: methods and applications

Dec 01, 2020
Leyu Dai, He Zhu, Dianbo Liu

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Robustness to Adversarial Attacks in Learning-Enabled Controllers

Jun 11, 2020
Zikang Xiong, Joe Eappen, He Zhu, Suresh Jagannathan

* 17 pages 

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ART: Abstraction Refinement-Guided Training for Provably Correct Neural Networks

Jul 26, 2019
Xuankang Lin, He Zhu, Roopsha Samanta, Suresh Jagannathan

* acknowledgements 

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An Inductive Synthesis Framework for Verifiable Reinforcement Learning

Jul 16, 2019
He Zhu, Zikang Xiong, Stephen Magill, Suresh Jagannathan

* Published on PLDI 2019 

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Distributed Data Vending on Blockchain

Mar 16, 2018
Jiayu Zhou, Fengyi Tang, He Zhu, Ning Nan, Ziheng Zhou

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