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Chongjun Wang

MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation

Dec 08, 2022
Zhendong Liu, Wenyu Jiang, Min guo, Chongjun Wang

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* 10 pages, 7 figures

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Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models

Jun 22, 2022
Liu Zhendong, Wenyu Jiang, Yi Zhang, Chongjun Wang

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* Submitted for ECML-PKDD 2022 but not accepted

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Tailor Versatile Multi-modal Learning for Multi-label Emotion Recognition

Jan 15, 2022
Yi Zhang, Mingyuan Chen, Jundong Shen, Chongjun Wang

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* To be published in AAAI 2022

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AdaRNN: Adaptive Learning and Forecasting of Time Series

Aug 11, 2021
Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Pan, Tao Qin, Renjun Xu, Chongjun Wang

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* Accepted by CIKM 2021 as a full paper; 10 pages; code at: https://github.com/jindongwang/transferlearning/tree/master/code/deep/adarnn

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