Adaptive Transfer Learning on Graph Neural Networks. - Xueting Han; Zhenhuan Huang; Bang An; Jing Bai 010 (KDD, 2021)

Calculation of Position for Odd Numbers to Change Length in Valuated Binary Tree. - Xueting Han; Kongfeng Zhu (ICIIT, 2022)

Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs. - Haozhen Zhang; Xueting Han; Xi Xiao; Jing Bai 010 (CIKM, 2023)

De Boor Algorithm Based NURBS Subdivision in Terms of Arc Length. - Xueting Han; Jihong Yan; Kongfeng Zhu (ICIIT, 2023)

AdapterGNN: Efficient Delta Tuning Improves Generalization Ability in Graph Neural Networks. - Shengrui Li; Xueting Han; Jing Bai 010 (CoRR, 2023)

AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs. - Shengrui Li; Xueting Han; Jing Bai 010 (AAAI, 2024)

Parameter-efficient is not Sufficient: Exploring Parameter, Memory, and Time Efficient Adapter Tuning for Dense Predictions. - Dongshuo Yin; Xueting Han; Bin Li 038; Hao Feng; Jing Bai 010 (ACM Multimedia, 2024)

NutePrune: Efficient Progressive Pruning with Numerous Teachers for Large Language Models. - Shengrui Li; Xueting Han; Jing Bai 010 (CoRR, 2024)

CPL: Critical Plan Step Learning Boosts LLM Generalization in Reasoning Tasks. - Tianlong Wang; Junzhe Chen; Xueting Han; Jing Bai (CoRR, 2024)

BSM: Small but Powerful Biological Sequence Model for Genes and Proteins. - Weixi Xiang; Xueting Han; Xiujuan Chai; Jing Bai (CoRR, 2024)

Personalized Multi-Modal Federated Learning Over Heterogeneous Edge Devices. - Yuxuan Hu; Yixuan Li; Xueting Han; Liang Xin; Xiaoqi Qin; Nan Ma (WCNC, 2025)

Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning. - Liang Chen 001; Xueting Han; Li Shen 008; Jing Bai; Kam-Fai Wong (CoRR, 2025)

ReVeal: Self-Evolving Code Agents via Iterative Generation-Verification. - Yiyang Jin; Kunzhao Xu; Hang Li; Xueting Han; Yanmin Zhou; Cheng Li; Jing Bai (CoRR, 2025)