| COVID-MobileXpert: On-device COVID-19 patient triage and follow-up using chest X-rays X Li, C Li, D Zhu 2020 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2020 | 148* | 2020 |
| Deep learning protocol for improved photoacoustic brain imaging R Manwar, X Li, S Mahmoodkalayeh, E Asano, D Zhu, K Avanaki Journal of biophotonics 13 (10), e202000212, 2020 | 71 | 2020 |
| Covid-xpert: An ai powered population screening of covid-19 cases using chest radiography images X Li, D Zhu | 60 | 2020 |
| Robust detection of adversarial attacks on medical images X Li, D Zhu 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1154-1158, 2020 | 55 | 2020 |
| Explainable recommendation via interpretable feature mapping and evaluation of explainability D Pan, X Li, X Li, D Zhu arXiv preprint arXiv:2007.06133, 2020 | 49 | 2020 |
| Explaining deep neural network models with adversarial gradient integration D Pan, X Li, D Zhu Thirtieth International Joint Conference on Artificial Intelligence (IJCAI), 2021 | 36 | 2021 |
| Defending against adversarial attacks on medical imaging AI system, classification or detection? X Li, D Pan, D Zhu 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1677-1681, 2021 | 33 | 2021 |
| Attcat: Explaining transformers via attentive class activation tokens Y Qiang, D Pan, C Li, X Li, R Jang, D Zhu Advances in neural information processing systems 35, 5052-5064, 2022 | 25 | 2022 |
| Vispi: Automatic visual perception and interpretation of chest x-rays X Li, R Cao, D Zhu arXiv preprint arXiv:1906.05190, 2019 | 25 | 2019 |
| On the learning property of logistic and softmax losses for deep neural networks X Li, X Li, D Pan, D Zhu Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4739-4746, 2020 | 23 | 2020 |
| Improving adversarial robustness via probabilistically compact loss with logit constraints X Li, X Li, D Pan, D Zhu Proceedings of the AAAI conference on artificial intelligence 35 (10), 8482-8490, 2021 | 18 | 2021 |
| Toward tag-free aspect based sentiment analysis: A multiple attention network approach Y Qiang, X Li, D Zhu 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 17 | 2020 |
| An uncertainty‐aware deep learning architecture with outlier mitigation for prostate gland segmentation in radiotherapy treatment planning X Li, H Bagher‐Ebadian, S Gardner, J Kim, M Elshaikh, B Movsas, D Zhu, ... Medical physics 50 (1), 311-322, 2023 | 11 | 2023 |
| Negative Flux Aggregation to Estimate Feature Attributions X Li, D Pan, C Li, Y Qiang, D Zhu IJCAI-2023, 2023 | 4 | 2023 |
| Learning Compact Features via In-training Representation Alignment X Li, X Li, D Pan, Y Qiang, D Zhu Proceedings of the AAAI Conference on Artificial Intelligence, 37(7), 8675-8683., 2023 | 4 | 2023 |
| Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection T Doan, X Li, S Behpour, W He, L Gou, L Ren AAAI-2024, 2023 | 4 | 2023 |
| Improved photoacoustic brain imaging using a deep learning protocol R Manwar, X Li, S Mahmoodkalayeh, E Asano, D Zhu, K Avanaki Photons Plus Ultrasound: Imaging and Sensing 2021 11642, 282-288, 2021 | 4 | 2021 |
| GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients S Behpour, T Doan, X Li, W He, L Gou, L Ren NeurIPS-2023, 2023 | 2 | 2023 |
| Adaptive Coherent Weighted Averaging Algorithm for Enhancement of Photoacoustic Tomography Images R Manwar, X Li, K Kratkiewicz, D Zhu, K Avanaki Journal of Biophotonics, e202300103, 2023 | 2 | 2023 |
| Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System X Li, Y Qiang, C Li, S Liu, D Zhu AdvML Frontiers workshop at 39th ICML, 2022 | 2 | 2022 |
Dongxiao ZhuProfessor of Computer Science, Wayne State UniversityVerified email at wayne.edu
