Yao Qiang

According to our database, Yao Qiang authored at least 17 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Learning to Poison Large Language Models During Instruction Tuning.

Yao Qiang, Xiangyu Zhou, Saleh Zare Zade, Mohammad Amin Roshani, Douglas Zytko, Dongxiao Zhu

CoRR, 2024

Benchmark and Neural Architecture for Conversational Entity Retrieval from a Knowledge Graph.

Mona Zamiri, Yao Qiang, Fedor Nikolaev, Dongxiao Zhu, Alexander Kotov

Proceedings of the ACM on Web Conference 2024, 2024

Prompt Perturbation Consistency Learning for Robust Language Models.

Yao Qiang, Subhrangshu Nandi, Ninareh Mehrabi, Greg Ver Steeg, Anoop Kumar, Anna Rumshisky, Aram Galstyan

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

FedDRO: Federated Compositional Optimization for Distributionally Robust Learning.

Prashant Khanduri, Chengyin Li, Rafi Ibn Sultan, Yao Qiang, Jörg Kliewer, Dongxiao Zhu

CoRR, 2023

Hijacking Large Language Models via Adversarial In-Context Learning.

Yao Qiang, Xiangyu Zhou, Dongxiao Zhu

CoRR, 2023

Interpretability-Aware Vision Transformer.

Yao Qiang, Chengyin Li, Prashant Khanduri, Dongxiao Zhu

CoRR, 2023

Auto-Prompting SAM for Mobile Friendly 3D Medical Image Segmentation.

Chengyin Li, Prashant Khanduri, Yao Qiang, Rafi Ibn Sultan, Indrin J. Chetty, Dongxiao Zhu

CoRR, 2023

Fairness-aware Vision Transformer via Debiased Self-Attention.

Yao Qiang, Chengyin Li, Prashant Khanduri, Dongxiao Zhu

CoRR, 2023

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Negative Flux Aggregation to Estimate Feature Attributions.

Xin Li, Deng Pan, Chengyin Li, Yao Qiang, Dongxiao Zhu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Learning Compact Features via In-Training Representation Alignment.

Xin Li, Xiangrui Li, Deng Pan, Yao Qiang, Dongxiao Zhu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System.

Xin Li, Yao Qiang, Chengyin Li, Sijia Liu, Dongxiao Zhu

CoRR, 2022

AttCAT: Explaining Transformers via Attentive Class Activation Tokens.

Yao Qiang, Deng Pan, Chengyin Li, Xin Li, Rhongho Jang, Dongxiao Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Tiny RNN Model with Certified Robustness for Text Classification.

Yao Qiang, Supriya Tumkur Suresh Kumar, Marco Brocanelli, Dongxiao Zhu

Proceedings of the International Joint Conference on Neural Networks, 2022

Counterfactual Interpolation Augmentation (CIA): A Unified Approach to Enhance Fairness and Explainability of DNN.

Yao Qiang, Chengyin Li, Marco Brocanelli, Dongxiao Zhu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Adversarially Robust and Explainable Model Compression with On-Device Personalization for Text Classification.

Yao Qiang, Supriya Tumkur Suresh Kumar, Marco Brocanelli, Dongxiao Zhu

CoRR, 2021

2020

Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach.

Yao Qiang, Xin Li, Dongxiao Zhu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020