Yao Qiang - RankMe

33 papers A* 6A 2B 4Journal 16Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Not All Tokens Are Meant to Be Forgotten. AAAI Xiangyu Zhou, Yao Qiang, Saleh Zare Zade, Douglas Zytko, Prashant Khanduri, Dongxiao Zhu
2026	J	`jnl`	RAG-X: Systematic Diagnosis of Retrieval-Augmented Generation for Medical Question Answering. CoRR Aswini Sivakumar, Vijayan Sugumaran, Yao Qiang
2025	A	`conf`	AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation. WACV Chengyin Li, Rafi Ibn Sultan, Prashant Khanduri, Yao Qiang, Chetty J. Indrin, Dongxiao Zhu
2025	A	`conf`	Automatic Calibration for Membership Inference Attack on Large Language Models. ECAI Saleh Zare Zade, Yao Qiang, Xiangyu Zhou, Hui Zhu, Mohammad Amin Roshani, Prashant Khanduri, Dongxiao Zhu
2025	J	`jnl`	Automatic Calibration for Membership Inference Attack on Large Language Models. CoRR Saleh Zare Zade, Yao Qiang, Xiangyu Zhou, Hui Zhu, Mohammad Amin Roshani, Prashant Khanduri, Dongxiao Zhu
2025	—	`conf`	FinFraud-LLM: Exploring Large Language Models for Financial Fraud Detection. ICDM (Workshops) Johnson Chen, Joshua Quintano, Yao Qiang
2025	B	`conf`	Interpretability-Aware Vision Transformer. IJCNN Yao Qiang, Chengyin Li, Hui Zhu, Prashant Khanduri, Dongxiao Zhu
2025	J	`jnl`	Not All Tokens Are Meant to Be Forgotten. CoRR Xiangyu Zhou, Yao Qiang, Saleh Zare Zade, Douglas Zytko, Prashant Khanduri, Dongxiao Zhu
2025	B	`conf`	PA-JJAMA: An LLM Based Intrusion Detection System for CAN Bus Networks. MASS Joshua Quintano, Yao Qiang, Huirong Fu
2025	—	`conf`	PubMedRAG: Retrieval-Augmented Generation for Biomedical Question Answering. ICDM (Workshops) Hamsini Gupta, Aswini Sivakumar, Huirong Fu, Yao Qiang
2024	A*	`conf`	Benchmark and Neural Architecture for Conversational Entity Retrieval from a Knowledge Graph. WWW Mona Zamiri, Yao Qiang, Fedor Nikolaev, Dongxiao Zhu, Alexander Kotov
2024	—	`conf`	Fairness-Aware Vision Transformer via Debiased Self-Attention. ECCV (37) Yao Qiang, Chengyin Li, Prashant Khanduri, Dongxiao Zhu
2024	J	`jnl`	Generative LLM Powered Conversational AI Application for Personalized Risk Assessment: A Case Study in COVID-19. CoRR Mohammad Amin Roshani, Xiangyu Zhou, Yao Qiang, Srinivasan Suresh, Steve Hicks, Usha Sethuraman, Dongxiao Zhu
2024	J	`jnl`	Learning to Poison Large Language Models During Instruction Tuning. CoRR Yao Qiang, Xiangyu Zhou, Saleh Zare Zade, Mohammad Amin Roshani, Douglas Zytko, Dongxiao Zhu
2024	—	`conf`	Prompt Perturbation Consistency Learning for Robust Language Models. EACL (Findings) Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan
2024	J	`jnl`	Prompt Perturbation Consistency Learning for Robust Language Models. CoRR Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan
2023	J	`jnl`	Auto-Prompting SAM for Mobile Friendly 3D Medical Image Segmentation. CoRR Chengyin Li, Prashant Khanduri, Yao Qiang, Rafi Ibn Sultan, Indrin J. Chetty, Dongxiao Zhu
2023	J	`jnl`	Fairness-aware Vision Transformer via Debiased Self-Attention. CoRR Yao Qiang, Chengyin Li, Prashant Khanduri, Dongxiao Zhu
2023	J	`jnl`	FedDRO: Federated Compositional Optimization for Distributionally Robust Learning. CoRR Prashant Khanduri, Chengyin Li, Rafi Ibn Sultan, Yao Qiang, Jörg Kliewer, Dongxiao Zhu
2023	—	`conf`	FocalUNETR: A Focal Transformer for Boundary-Aware Prostate Segmentation Using CT Images. MICCAI (3) Chengyin Li, Yao Qiang, Rafi Ibn Sultan, Hassan Bagher-Ebadian, Prashant Khanduri, Indrin J. Chetty, Dongxiao Zhu
2023	J	`jnl`	Hijacking Large Language Models via Adversarial In-Context Learning. CoRR Yao Qiang, Xiangyu Zhou, Dongxiao Zhu
2023	J	`jnl`	Interpretability-Aware Vision Transformer. CoRR Yao Qiang, Chengyin Li, Prashant Khanduri, Dongxiao Zhu
2023	A*	`conf`	Learning Compact Features via In-Training Representation Alignment. AAAI Xin Li, Xiangrui Li, Deng Pan, Yao Qiang, Dongxiao Zhu
2023	A*	`conf`	Negative Flux Aggregation to Estimate Feature Attributions. IJCAI Xin Li, Deng Pan, Chengyin Li, Yao Qiang, Dongxiao Zhu
2023	J	`jnl`	Negative Flux Aggregation to Estimate Feature Attributions. CoRR Xin Li, Deng Pan, Chengyin Li, Yao Qiang, Dongxiao Zhu
2022	A*	`conf`	AttCAT: Explaining Transformers via Attentive Class Activation Tokens. NeurIPS Yao Qiang, Deng Pan, Chengyin Li, Xin Li, Rhongho Jang, Dongxiao Zhu
2022	A*	`conf`	Counterfactual Interpolation Augmentation (CIA): A Unified Approach to Enhance Fairness and Explainability of DNN. IJCAI Yao Qiang, Chengyin Li, Marco Brocanelli, Dongxiao Zhu
2022	J	`jnl`	Learning Compact Features via In-Training Representation Alignment. CoRR Xin Li, Xiangrui Li, Deng Pan, Yao Qiang, Dongxiao Zhu
2022	J	`jnl`	Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System. CoRR Xin Li, Yao Qiang, Chengyin Li, Sijia Liu, Dongxiao Zhu
2022	B	`conf`	Tiny RNN Model with Certified Robustness for Text Classification. IJCNN Yao Qiang, Supriya Tumkur Suresh Kumar, Marco Brocanelli, Dongxiao Zhu
2021	J	`jnl`	Adversarially Robust and Explainable Model Compression with On-Device Personalization for Text Classification. CoRR Yao Qiang, Supriya Tumkur Suresh Kumar, Marco Brocanelli, Dongxiao Zhu
2020	B	`conf`	Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach. IJCNN Yao Qiang, Xin Li, Dongxiao Zhu
2020	J	`jnl`	Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach. CoRR Yao Qiang, Xin Li, Dongxiao Zhu