Xueting Han

According to our database, Xueting Han authored at least 18 papers between 2021 and 2026.

Collaborative distances:

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

2026

Response-G1: Explicit Scene Graph Modeling for Proactive Streaming Video Understanding.

Ke Ma, Jiaqi Tang, Bin Guo, Xueting Han, Ruonan Xu, Qingfeng He, Ziheng Wang, Xu Wang, Qifeng Chen, Zhiwen Yu, Yunhao Liu

CoRR, May, 2026

Response-G1: Explicit Scene Graph Modeling for Proactive Streaming Video Understanding.

Ke Ma, Jiaqi Tang, Bin Guo, Xueting Han, Ruonan Xu, Qingfeng He, Ziheng Wang, Xu Wang, Qifeng Chen, Zhiwen Yu, Yunhao Liu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

EEPO: Exploration-Enhanced Policy Optimization via Sample-Then-Forget.

Liang Chen, Xueting Han, Qizhou Wang, Bo Han, Jing Bai, Hinrich Schütze, Kam-Fai Wong

CoRR, October, 2025

Beyond Two-Stage Training: Cooperative SFT and RL for LLM Reasoning.

Liang Chen, Xueting Han, Li Shen, Jing Bai, Kam-Fai Wong

CoRR, September, 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, June, 2025

Personalized Multi-Modal Federated Learning Over Heterogeneous Edge Devices.

Yuxuan Hu, Yixuan Li, Xueting Han, Liang Xin, Xiaoqi Qin, Nan Ma

Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025

Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning.

Liang Chen, Xueting Han, Li Shen, Jing Bai, Kam-Fai Wong

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Teaching LLMs to Plan, Not Just Solve: Plan Learning Boosts LLMs Generalization in Reasoning Tasks.

Tianlong Wang, Junzhe Chen, Weibin Liao, Xueting Han, Jing Bai

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

BSM: Small but Powerful Biological Sequence Model for Genes and Proteins.

Weixi Xiang, Xueting Han, Xiujuan Chai, Jing Bai

CoRR, 2024

CPL: Critical Plan Step Learning Boosts LLM Generalization in Reasoning Tasks.

Tianlong Wang, Junzhe Chen, Xueting Han, Jing Bai

CoRR, 2024

NutePrune: Efficient Progressive Pruning with Numerous Teachers for Large Language Models.

Shengrui Li, Xueting Han, Jing Bai

CoRR, 2024

Parameter-efficient is not Sufficient: Exploring Parameter, Memory, and Time Efficient Adapter Tuning for Dense Predictions.

Dongshuo Yin, Xueting Han, Bin Li, Hao Feng, Jing Bai

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs.

Shengrui Li, Xueting Han, Jing Bai

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

AdapterGNN: Efficient Delta Tuning Improves Generalization Ability in Graph Neural Networks.

Shengrui Li, Xueting Han, Jing Bai

CoRR, 2023

De Boor Algorithm Based NURBS Subdivision in Terms of Arc Length.

Xueting Han, Jihong Yan, Kongfeng Zhu

Proceedings of the 2023 8th International Conference on Intelligent Information Technology, 2023

Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs.

Haozhen Zhang, Xueting Han, Xi Xiao, Jing Bai

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Calculation of Position for Odd Numbers to Change Length in Valuated Binary Tree.

Xueting Han, Kongfeng Zhu

Proceedings of the ICIIT 2022: 7th International Conference on Intelligent Information Technology, Foshan, China, February 25, 2022

2021

Adaptive Transfer Learning on Graph Neural Networks.

Xueting Han, Zhenhuan Huang, Bang An, Jing Bai

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021