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Fairness-aware Vision Transformer via Debiased Self-Attention


Jan 31, 2023
Yao Qiang, Chengyin Li, Prashant Khanduri, Dongxiao Zhu

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Negative Flux Aggregation to Estimate Feature Attributions


Jan 17, 2023
Xin Li, Deng Pan, Chengyin Li, Yao Qiang, Dongxiao Zhu

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* 9 pages, 4 figures, 1 table 

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Learning Compact Features via In-Training Representation Alignment


Nov 23, 2022
Xin Li, Xiangrui Li, Deng Pan, Yao Qiang, Dongxiao Zhu

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* 11 pages, 4 figures, 6 tables. Accepted for publication by AAAI-23. arXiv admin note: text overlap with arXiv:2002.09917 

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Coupling User Preference with External Rewards to Enable Driver-centered and Resource-aware EV Charging Recommendation


Oct 23, 2022
Chengyin Li, Zheng Dong, Nathan Fisher, Dongxiao Zhu

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* 16 pages, 5 figures. To appear in the Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2022) 

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FocalUNETR: A Focal Transformer for Boundary-aware Segmentation of CT Images


Oct 06, 2022
Chengyin Li, Hassan Bagher-Ebadian, Vikram Goddla, Indrin J. Chetty, Dongxiao Zhu

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* 13 pages, 3 figures, 2 tables 

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Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System


Sep 09, 2022
Xin Li, Yao Qiang, Chengyin Li, Sijia Liu, Dongxiao Zhu

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* AdvML Frontiers workshop at 39th International Conference on Machine Learning (ICML), Baltimore, Maryland, USA, 2022 
* 9 pages, 3 figures 

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Adversarially Robust and Explainable Model Compression with On-Device Personalization for Text Classification


Jan 20, 2021
Yao Qiang, Supriya Tumkur Suresh Kumar, Marco Brocanelli, Dongxiao Zhu

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* 8 pages, 4 figures 

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Adversarially robust and explainable model compression with on-device personalization for NLP applications


Jan 15, 2021
Yao Qiang, Supriya Tumkur Suresh Kumar, Marco Brocanelli, Dongxiao Zhu

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* Need to improve the paper 

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Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints


Dec 14, 2020
Xin Li, Xiangrui Li, Deng Pan, Dongxiao Zhu

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* To appear in the proceedings of Thirty-Five AAAI Conference on Artificial Intelligence (AAAI-21) 

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Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability


Jul 12, 2020
Deng Pan, Xiangrui Li, Xin Li, Dongxiao Zhu

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* IJCAI 2020, pages 2690-2696 
* Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI) 

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