| 2026 | AAAI | Not All Tokens Are Meant to Be Forgotten. | Xiangyu Zhou, Yao Qiang, Saleh Zare Zade, Douglas Zytko, Prashant Khanduri, Dongxiao Zhu |
| 2025 | ECAI | Automatic Calibration for Membership Inference Attack on Large Language Models. | Saleh Zare Zade, Yao Qiang, Xiangyu Zhou, Hui Zhu, Mohammad Amin Roshani, Prashant Khanduri, Dongxiao Zhu |
| 2025 | ICDM | FinFraud-LLM: Exploring Large Language Models for Financial Fraud Detection. | Johnson Chen, Joshua Quintano, Yao Qiang |
| 2025 | ICDM | PubMedRAG: Retrieval-Augmented Generation for Biomedical Question Answering. | Hamsini Gupta, Aswini Sivakumar, Huirong Fu, Yao Qiang |
| 2025 | IJCNN | Interpretability-Aware Vision Transformer. | Yao Qiang, Chengyin Li, Hui Zhu, Prashant Khanduri, Dongxiao Zhu |
| 2025 | MASS | PA-JJAMA: An LLM Based Intrusion Detection System for CAN Bus Networks. | Joshua Quintano, Yao Qiang, Huirong Fu |
| 2025 | WACV | AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation. | Chengyin Li, Rafi Ibn Sultan, Prashant Khanduri, Yao Qiang, Chetty J. Indrin, Dongxiao Zhu |
| 2024 | EACL | Prompt Perturbation Consistency Learning for Robust Language Models. | Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan |
| 2024 | ECCV | Fairness-Aware Vision Transformer via Debiased Self-Attention. | Yao Qiang, Chengyin Li, Prashant Khanduri, Dongxiao Zhu |
| 2024 | WWW | Benchmark and Neural Architecture for Conversational Entity Retrieval from a Knowledge Graph. | Mona Zamiri, Yao Qiang, Fedor Nikolaev, Dongxiao Zhu, Alexander Kotov |
| 2023 | AAAI | Learning Compact Features via In-Training Representation Alignment. | Xin Li, Xiangrui Li, Deng Pan, Yao Qiang, Dongxiao Zhu |
| 2023 | IJCAI | Negative Flux Aggregation to Estimate Feature Attributions. | Xin Li, Deng Pan, Chengyin Li, Yao Qiang, Dongxiao Zhu |
| 2023 | MICCAI | FocalUNETR: A Focal Transformer for Boundary-Aware Prostate Segmentation Using CT Images. | Chengyin Li, Yao Qiang, Rafi Ibn Sultan, Hassan Bagher-Ebadian, Prashant Khanduri, Indrin J. Chetty, Dongxiao Zhu |
| 2022 | IJCAI | Counterfactual Interpolation Augmentation (CIA): A Unified Approach to Enhance Fairness and Explainability of DNN. | Yao Qiang, Chengyin Li, Marco Brocanelli, Dongxiao Zhu |
| 2022 | IJCNN | Tiny RNN Model with Certified Robustness for Text Classification. | Yao Qiang, Supriya Tumkur Suresh Kumar, Marco Brocanelli, Dongxiao Zhu |
| 2020 | IJCNN | Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach. | Yao Qiang, Xin Li, Dongxiao Zhu |