Jiapeng Zhu

According to our database, Jiapeng Zhu authored at least 18 papers between 2024 and 2026.

Collaborative distances:

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

2026

Skill is Not One-Size-Fits-All: Model-Aware Skill Alignment for LLM Agents.

Jianxiang Yu, Jiapeng Zhu, Bochen Lin, Qier Cui, Zichen Ding, Xiang Li

CoRR, May, 2026

Skill0.5: Joint Skill Internalization and Utilization for Out-of-Distribution Generalization in Agentic Reinforcement Learning.

Jiapeng Zhu, Jianxiang Yu, Yibo Zhao, Chengcheng Han, Qi Gu, Xunliang Cai, Xiang Li, Weining Qian

CoRR, May, 2026

GRACE: Reinforcement Learning for Grounded Response and Abstention under Contextual Evidence.

Yibo Zhao, Jiapeng Zhu, Zichen Ding, Xiang Li

CoRR, January, 2026

Class-Balanced and fast active learning for graph neural networks via reinforcement learning.

Chengcheng Yu, Jiapeng Zhu, Xiang Li

Knowl. Based Syst., 2026

Human Cognition Inspired RAG with Knowledge Graph for Complex Problem Solving.

Yao Cheng, Yibo Zhao, Jiapeng Zhu, Yao Liu, Xing Sun, Xiang Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

E²GraphRAG: Streamlining Graph-based RAG for High Efficiency and Effectiveness.

Yibo Zhao, Jiapeng Zhu, Ye Guo, Kangkang He, Xiang Li

CoRR, May, 2025

Relation-Aware Graph Foundation Model.

Jianxiang Yu, Jiapeng Zhu, Hao Qian, Ziqi Liu, Zhiqiang Zhang, Xiang Li

CoRR, May, 2025

Adversarial Conservative Alternating Q-Learning for Credit Card Debt Collection.

Wenhui Liu, Jiapeng Zhu, Lyu Ni, Jingyu Bi, Zhijian Wu, Jiajie Long, Mengyao Gao, Dingjiang Huang, Shuigeng Zhou

IEEE Trans. Knowl. Data Eng., April, 2025

Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection.

Long Zeng, Jianxiang Yu, Jiapeng Zhu, Qingsong Zhong, Xiang Li

Proceedings of the ACM on Web Conference 2025, 2025

RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning.

Jiapeng Zhu, Zichen Ding, Jianxiang Yu, Jiaqi Tan, Xiang Li, Weining Qian

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

SEAGraph: Unveiling the Whole Story of Paper Review Comments.

Jianxiang Yu, Jiaqi Tan, Zichen Ding, Jiapeng Zhu, Jiahao Li, Yao Cheng, Qier Cui, Yunshi Lan, Yao Liu, Xiang Li

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

Text Detoxification: Data Efficiency, Semantic Preservation and Model Generalization.

Jing Yu, Yibo Zhao, Jiapeng Zhu, Wenming Shao, Bo Pang, Zhao Zhang, Xiang Li

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

GraphCBAL-Sys: A Class-Balanced Active Learning System for Graphs.

Chengcheng Yu, Wenqian Zhou, Jiahui Wang, Fangshu Chen, Jiapeng Zhu, Xiang Li

Proceedings of the Database Systems for Advanced Applications, 2025

Enhancing LLM-based Hatred and Toxicity Detection with Meta-Toxic Knowledge Graph.

Yibo Zhao, Jiapeng Zhu, Can Xu, Yao Liu, Xiang Li

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

2024

Enhancing LLM-based Hatred and Toxicity Detection with Meta-Toxic Knowledge Graph.

Yibo Zhao, Jiapeng Zhu, Can Xu, Xiang Li

CoRR, 2024

SEAGraph: Unveiling the Whole Story of Paper Review Comments.

Jianxiang Yu, Jiaqi Tan, Zichen Ding, Jiapeng Zhu, Jiahao Li, Yao Cheng, Qier Cui, Yunshi Lan, Xiang Li

CoRR, 2024

Class-Balanced and Reinforced Active Learning on Graphs.

Chengcheng Yu, Jiapeng Zhu, Xiang Li

CoRR, 2024

GraphCBAL: Class-Balanced Active Learning for Graph Neural Networks via Reinforcement Learning.

Chengcheng Yu, Jiapeng Zhu, Xiang Li

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024