Yao Qiang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 21

Top Topics

Neural Architecture

Sentiment Analysis

Entity Retrieval

Top Venues

Publications

Mona Zamiri, Yao Qiang, Fedor Nikolaev, Dongxiao Zhu, Alexander Kotov
Benchmark and Neural Architecture for Conversational Entity Retrieval from a Knowledge Graph. WWW (2024)
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)
Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan
Prompt Perturbation Consistency Learning for Robust Language Models. CoRR (2024)
Yao Qiang, Xiangyu Zhou, Saleh Zare Zade, Mohammad Amin Roshani, Douglas Zytko, Dongxiao Zhu
Learning to Poison Large Language Models During Instruction Tuning. CoRR (2024)
Xin Li, Deng Pan, Chengyin Li, Yao Qiang, Dongxiao Zhu
Negative Flux Aggregation to Estimate Feature Attributions. IJCAI (2023)
Xin Li, Xiangrui Li, Deng Pan, Yao Qiang, Dongxiao Zhu
Learning Compact Features via In-Training Representation Alignment. AAAI (2023)
Yao Qiang, Chengyin Li, Prashant Khanduri, Dongxiao Zhu
Fairness-aware Vision Transformer via Debiased Self-Attention. CoRR (2023)
Prashant Khanduri, Chengyin Li, Rafi Ibn Sultan, Yao Qiang, Jörg Kliewer, Dongxiao Zhu
FedDRO: Federated Compositional Optimization for Distributionally Robust Learning. CoRR (2023)
Xin Li, Deng Pan, Chengyin Li, Yao Qiang, Dongxiao Zhu
Negative Flux Aggregation to Estimate Feature Attributions. CoRR (2023)
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)
Yao Qiang, Xiangyu Zhou, Dongxiao Zhu
Hijacking Large Language Models via Adversarial In-Context Learning. CoRR (2023)
Yao Qiang, Chengyin Li, Prashant Khanduri, Dongxiao Zhu
Interpretability-Aware Vision Transformer. CoRR (2023)
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 (2023)
Yao Qiang, Supriya Tumkur Suresh Kumar, Marco Brocanelli, Dongxiao Zhu
Tiny RNN Model with Certified Robustness for Text Classification. IJCNN (2022)
Yao Qiang, Deng Pan, Chengyin Li, Xin Li, Rhongho Jang, Dongxiao Zhu
AttCAT: Explaining Transformers via Attentive Class Activation Tokens. NeurIPS (2022)
Yao Qiang, Chengyin Li, Marco Brocanelli, Dongxiao Zhu
Counterfactual Interpolation Augmentation (CIA): A Unified Approach to Enhance Fairness and Explainability of DNN. IJCAI (2022)
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 (2022)
Xin Li, Xiangrui Li, Deng Pan, Yao Qiang, Dongxiao Zhu
Learning Compact Features via In-Training Representation Alignment. CoRR (2022)
Yao Qiang, Supriya Tumkur Suresh Kumar, Marco Brocanelli, Dongxiao Zhu
Adversarially Robust and Explainable Model Compression with On-Device Personalization for Text Classification. CoRR (2021)
Yao Qiang, Xin Li, Dongxiao Zhu
Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach. CoRR (2020)
Yao Qiang, Xin Li, Dongxiao Zhu
Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach. IJCNN (2020)