| 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 | 49 | 2022 |
| Hijacking large language models via adversarial in-context learning Y Qiang, X Zhou, SZ Zade, P Khanduri, D Zhu arXiv preprint arXiv:2311.09948, 2023 | 30 | 2023 |
| Auto-prompting sam for mobile friendly 3d medical image segmentation C Li, P Khanduri, Y Qiang, RI Sultan, I Chetty, D Zhu arXiv preprint arXiv:2308.14936 2, 2023 | 26 | 2023 |
| 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 | 20 | 2020 |
| Counterfactual Interpolation Augmentation (CIA): A Unified Approach to Enhance Fairness and Explainability of DNN. Y Qiang, C Li, M Brocanelli, D Zhu IJCAI, 732-739, 2022 | 18 | 2022 |
| Learning to poison large language models during instruction tuning Y Qiang, X Zhou, SZ Zade, MA Roshani, D Zytko, D Zhu arXiv preprint arXiv:2402.13459, 2024 | 17 | 2024 |
| Tiny rnn model with certified robustness for text classification Y Qiang, STS Kumar, M Brocanelli, D Zhu 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 13 | 2022 |
| Interpretability-aware vision transformer Y Qiang, C Li, P Khanduri, D Zhu arXiv preprint arXiv:2309.08035, 2023 | 12 | 2023 |
| FocalUNETR: A Focal Transformer for Boundary-aware Prostate Segmentation using CT Images Chengyin Li, Yao Qiang, Rafi Lbn Sultan, Hassan Bagher-Ebadian, Prashant ... MICCAI(2023) International Conference on Medical Image Computing and …, 2023 | 12* | 2023 |
| Prompt perturbation consistency learning for robust language models Y Qiang, S Nandi, N Mehrabi, GV Steeg, A Kumar, A Rumshisky, ... Findings of the Association for Computational Linguistics: EACL 2024, 1357–1370, 2024 | 9 | 2024 |
| Fairness-aware vision transformer via debiased self-attention Y Qiang, C Li, P Khanduri, D Zhu European Conference on Computer Vision (ECCV), 2024 | 9 | 2024 |
| Negative flux aggregation to estimate feature attributions X Li, D Pan, C Li, Y Qiang, D Zhu arXiv preprint arXiv:2301.06989, 2023 | 7 | 2023 |
| Learning compact features via in-training representation alignment X Li, X Li, D Pan, Y Qiang, D Zhu arXiv preprint arXiv:2211.13332, 2022 | 6 | 2022 |
| 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 arXiv preprint arXiv:2209.04326, 2022 | 5 | 2022 |
| Generative LLM powered conversational AI application for personalized risk assessment: A case study in COVID-19 MA Roshani, X Zhou, Y Qiang, S Suresh, S Hicks, U Sethuraman, D Zhu arXiv preprint arXiv:2409.15027, 2024 | 3 | 2024 |
| Benchmark and Neural Architecture for Conversational Entity Retrieval from a Knowledge Graph M Zamiri, Y Qiang, F Nikolaev, D Zhu, A Kotov Proceedings of the ACM on Web Conference 2024, 1519-1528, 2024 | 2 | 2024 |
| Hijacking Large Language Models via Adversarial In-Context Learning Y Qiang Wayne State University, 2024 | 1 | 2024 |
| Designing for Reliability: Algorithmic and Applied Perspectives On Trustworthy Artificial Intelligence Y Qiang Wayne State University, Detroit, 2024 | | 2024 |
| FedDRO: Federated Compositional Optimization for Distributionally Robust Learning P Khanduri, C Li, RI Sultan, Y Qiang, J Kliewer, D Zhu arXiv preprint arXiv:2311.12652, 2023 | | 2023 |
| Proximal Compositional Optimization for Distributionally Robust Learning P Khanduri, C Li, RI Sultan, Y Qiang, J Kliewer, D Zhu The Second Workshop on New Frontiers in Adversarial Machine Learning, 2023 | | 2023 |
Dongxiao ZhuProfessor of Computer Science, Wayne State Universitywayne.edu üzerinde doğrulanmış e-posta adresine sahip