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Finding Representative Interpretations on Convolutional Neural Networks


Aug 17, 2021
Peter Cho-Ho Lam, Lingyang Chu, Maxim Torgonskiy, Jian Pei, Yong Zhang, Lanjun Wang

* Accepted by ICCV 2021 (http://iccv2021.thecvf.com/home) | A python notebook of the proposed method can be found in https://marketplace.huaweicloud.com/markets/aihub/notebook/detail/?id=b19bdf12-2863-44dc-8cd8-3843c4f9c1f8 

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Robust Counterfactual Explanations on Graph Neural Networks


Jul 16, 2021
Mohit Bajaj, Lingyang Chu, Zi Yu Xue, Jian Pei, Lanjun Wang, Peter Cho-Ho Lam, Yong Zhang


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Perception Improvement for Free: Exploring Imperceptible Black-box Adversarial Attacks on Image Classification


Oct 30, 2020
Yongwei Wang, Mingquan Feng, Rabab Ward, Z. Jane Wang, Lanjun Wang


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Personalized Federated Learning: An Attentive Collaboration Approach


Jul 07, 2020
Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang

* Under review 

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Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution


Jun 17, 2019
Zicun Cong, Lingyang Chu, Lanjun Wang, Xia Hu, Jian Pei


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Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution


Feb 17, 2018
Lingyang Chu, Xia Hu, Juhua Hu, Lanjun Wang, Jian Pei

* Under review of KDD 2018 

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Characterizing Driving Styles with Deep Learning


Oct 08, 2016
Weishan Dong, Jian Li, Renjie Yao, Changsheng Li, Ting Yuan, Lanjun Wang


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