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2020 – today
- 2025
[c13]Yao Qiang, Chengyin Li, Hui Zhu, Prashant Khanduri, Dongxiao Zhu:
Interpretability-Aware Vision Transformer. IJCNN 2025: 1-8- [c12]Joshua Quintano, Yao Qiang, Huirong Fu:
PA-JJAMA: An LLM Based Intrusion Detection System for CAN Bus Networks. MASS 2025: 682-687 - [c11]Chengyin Li, Rafi Ibn Sultan, Prashant Khanduri, Yao Qiang, Chetty J. Indrin, Dongxiao Zhu:
AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation. WACV 2025: 3570-3580 - [i15]Saleh Zare Zade, Yao Qiang, Xiangyu Zhou, Hui Zhu, Mohammad Amin Roshani, Prashant Khanduri, Dongxiao Zhu:
Automatic Calibration for Membership Inference Attack on Large Language Models. CoRR abs/2505.03392 (2025) - [i14]Xiangyu Zhou, Yao Qiang, Saleh Zare Zade, Douglas Zytko, Prashant Khanduri, Dongxiao Zhu:
Not All Tokens Are Meant to Be Forgotten. CoRR abs/2506.03142 (2025) - 2024
- [c10]Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan:
Prompt Perturbation Consistency Learning for Robust Language Models. EACL (Findings) 2024: 1357-1370 - [c9]Yao Qiang
, Chengyin Li, Prashant Khanduri, Dongxiao Zhu:
Fairness-Aware Vision Transformer via Debiased Self-Attention. ECCV (37) 2024: 358-376 - [c8]Mona Zamiri, Yao Qiang, Fedor Nikolaev, Dongxiao Zhu, Alexander Kotov:
Benchmark and Neural Architecture for Conversational Entity Retrieval from a Knowledge Graph. WWW 2024: 1519-1528 - [i13]Yao Qiang, Xiangyu Zhou, Saleh Zare Zade, Mohammad Amin Roshani, Douglas Zytko, Dongxiao Zhu:
Learning to Poison Large Language Models During Instruction Tuning. CoRR abs/2402.13459 (2024) - [i12]Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan:
Prompt Perturbation Consistency Learning for Robust Language Models. CoRR abs/2402.15833 (2024) - [i11]Mohammad Amin Roshani, Xiangyu Zhou, Yao Qiang, Srinivasan Suresh, Steve Hicks, Usha Sethuraman, Dongxiao Zhu:
Generative LLM Powered Conversational AI Application for Personalized Risk Assessment: A Case Study in COVID-19. CoRR abs/2409.15027 (2024) - 2023
- [c7]Xin Li, Xiangrui Li, Deng Pan, Yao Qiang, Dongxiao Zhu:
Learning Compact Features via In-Training Representation Alignment. AAAI 2023: 8675-8683 - [c6]Xin Li, Deng Pan, Chengyin Li, Yao Qiang, Dongxiao Zhu:
Negative Flux Aggregation to Estimate Feature Attributions. IJCAI 2023: 446-454 - [c5]Chengyin Li, Yao Qiang, Rafi Ibn Sultan, Hassan Bagher-Ebadian, Prashant Khanduri, Indrin J. Chetty, Dongxiao Zhu:
FocalUNETR: A Focal Transformer for Boundary-Aware Prostate Segmentation Using CT Images. MICCAI (3) 2023: 592-602 - [i10]Xin Li, Deng Pan, Chengyin Li, Yao Qiang, Dongxiao Zhu:
Negative Flux Aggregation to Estimate Feature Attributions. CoRR abs/2301.06989 (2023) - [i9]Yao Qiang, Chengyin Li, Prashant Khanduri, Dongxiao Zhu:
Fairness-aware Vision Transformer via Debiased Self-Attention. CoRR abs/2301.13803 (2023) - [i8]Chengyin Li, Prashant Khanduri, Yao Qiang, Rafi Ibn Sultan, Indrin J. Chetty, Dongxiao Zhu:
Auto-Prompting SAM for Mobile Friendly 3D Medical Image Segmentation. CoRR abs/2308.14936 (2023) - [i7]Yao Qiang, Chengyin Li, Prashant Khanduri, Dongxiao Zhu:
Interpretability-Aware Vision Transformer. CoRR abs/2309.08035 (2023) - [i6]Yao Qiang, Xiangyu Zhou, Dongxiao Zhu:
Hijacking Large Language Models via Adversarial In-Context Learning. CoRR abs/2311.09948 (2023) - [i5]Prashant Khanduri, Chengyin Li, Rafi Ibn Sultan, Yao Qiang, Jörg Kliewer, Dongxiao Zhu:
FedDRO: Federated Compositional Optimization for Distributionally Robust Learning. CoRR abs/2311.12652 (2023) - 2022
- [c4]Yao Qiang, Chengyin Li, Marco Brocanelli, Dongxiao Zhu:
Counterfactual Interpolation Augmentation (CIA): A Unified Approach to Enhance Fairness and Explainability of DNN. IJCAI 2022: 732-739 - [c3]Yao Qiang, Supriya Tumkur Suresh Kumar, Marco Brocanelli, Dongxiao Zhu:
Tiny RNN Model with Certified Robustness for Text Classification. IJCNN 2022: 1-8 - [c2]Yao Qiang, Deng Pan, Chengyin Li, Xin Li, Rhongho Jang, Dongxiao Zhu:
AttCAT: Explaining Transformers via Attentive Class Activation Tokens. NeurIPS 2022 - [i4]Xin Li, Yao Qiang, Chengyin Li, Sijia Liu, Dongxiao Zhu:
Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System. CoRR abs/2209.04326 (2022) - [i3]Xin Li, Xiangrui Li, Deng Pan, Yao Qiang, Dongxiao Zhu:
Learning Compact Features via In-Training Representation Alignment. CoRR abs/2211.13332 (2022) - 2021
- [i2]Yao Qiang, Supriya Tumkur Suresh Kumar, Marco Brocanelli, Dongxiao Zhu:
Adversarially Robust and Explainable Model Compression with On-Device Personalization for Text Classification. CoRR abs/2101.05624 (2021) - 2020
- [c1]Yao Qiang, Xin Li, Dongxiao Zhu:
Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach. IJCNN 2020: 1-8 - [i1]Yao Qiang, Xin Li, Dongxiao Zhu:
Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach. CoRR abs/2003.09986 (2020)
Coauthor Index
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