Relative Position and Map Networks in Few-shot Learning for Image Classification. - Zhiyu Xue; Zhenshan Xie; Zheng Xing; Lixin Duan (CVPR Workshops, 2020)

Region Comparison Network for Interpretable Few-shot Image Classification. - Zhiyu Xue; Lixin Duan; Wen Li 001; Lin Chen 021; Jiebo Luo 001 (CoRR, 2020)

SACT: A New Model of Covert Communication Based on SDN. - Leyi Shi; Yuxiao Song; Zhiyu Xue; Yihao Liu; Honglong Chen (Sensors, 2020)

Differentially Private Pairwise Learning Revisited. - Zhiyu Xue; Shaoyang Yang; Mengdi Huai; Di Wang 015 (IJCAI, 2021)

PAC-tuning: Fine-tuning Pre-trained Language Models with PAC-driven Perturbed Gradient Descent. - Guangliang Liu; Zhiyu Xue; Xitong Zhang; Kristen Marie Johnson; Rongrong Wang (EMNLP, 2023)

Group AdaBoost with Fairness Constraint. - Zhiyu Xue (SDM, 2023)

PAC-tuning: Fine-tuning Pretrained Language Models with PAC-driven Perturbed Gradient Descent. - Guangliang Liu; Zhiyu Xue; Xitong Zhang; Kristen Marie Johnson; Rongrong Wang (CoRR, 2023)

Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness. - Guangliang Liu; Milad Afshari; Xitong Zhang; Zhiyu Xue; Avrajit Ghosh; Bidhan Bashyal; Rongrong Wang; Kristen Marie Johnson (ACL (Findings), 2024)

Exploring Minimally Sufficient Representation in Active Learning through Label-Irrelevant Patch Augmentation. - Zhiyu Xue; Yinlong Dai; Qi Lei (CPAL, 2024)

Initialization Matters for Adversarial Transfer Learning. - Andong Hua; Jindong Gu; Zhiyu Xue; Nicholas Carlini; Eric Wong 001; Yao Qin 001 (CVPR, 2024)

On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept. - Guangliang Liu; Haitao Mao; Bochuan Cao; Zhiyu Xue; Kristen Marie Johnson; Jiliang Tang; Rongrong Wang (CoRR, 2024)

Conflict-Aware Adversarial Training. - Zhiyu Xue; Haohan Wang; Yao Qin 001; Ramtin Pedarsani (CoRR, 2024)

Smaller Large Language Models Can Do Moral Self-Correction. - Guangliang Liu; Zhiyu Xue; Rongrong Wang; Kristen Marie Johnson (CoRR, 2024)

No Free Lunch for Defending Against Prefilling Attack by In-Context Learning. - Zhiyu Xue; Guangliang Liu; Bocheng Chen; Kristen Marie Johnson; Ramtin Pedarsani (CoRR, 2024)

Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models. - Sajjad Ghiasvand; Yifan Yang; Zhiyu Xue; Mahnoosh Alizadeh; Zheng Zhang; Ramtin Pedarsani (ACL (Findings), 2025)

Enhancing the Safety of Medical Vision-Language Models by Synthetic Demonstrations. - Zhiyu Xue; Reza Abbasi-Asl; Ramtin Pedarsani (CoRR, 2025)