Jianxiang Yu

According to our database, Jianxiang Yu authored at least 25 papers between 2023 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

APEX: Academic Poster Editing Agentic Expert.

Chengxin Shi, Qinnan Cai, Zeyuan Chen, Long Zeng, Yibo Zhao, Jing Yu, Jianxiang Yu, Xiang Li

CoRR, January, 2026

2025

Breaking the Cloak! Unveiling Chinese Cloaked Toxicity with Homophone Graph and Toxic Lexicon.

Xuchen Ma, Jianxiang Yu, Wenming Shao, Bo Pang, 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

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

Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes.

Yige Zhao, Jianxiang Yu, Yao Cheng, Chengcheng Yu, Yiding Liu, Xiang Li, Shuaiqiang Wang

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

Can Large Language Models Act as Ensembler for Multi-GNNs?

Hanqi Duan, Yao Cheng, Jianxiang Yu, Yao Liu, Xiang Li

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

Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs.

Jianxiang Yu, Yuxiang Ren, Chenghua Gong, Jiaqi Tan, Xiang Li, Xuecang Zhang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Heterogeneous Graph Contrastive Learning With Meta-Path Contexts and Adaptively Weighted Negative Samples.

Jianxiang Yu, Qingqing Ge, Xiang Li, Aoying Zhou

IEEE Trans. Knowl. Data Eng., October, 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

Can Large Language Models Act as Ensembler for Multi-GNNs?

Hanqi Duan, Yao Cheng, Jianxiang Yu, Xiang Li

CoRR, 2024

Boosting Graph Foundation Model from Structural Perspective.

Yao Cheng, Yige Zhao, Jianxiang Yu, Xiang Li

CoRR, 2024

Improving Graph Out-of-distribution Generalization on Real-world Data.

Can Xu, Yao Cheng, Jianxiang Yu, Haosen Wang, Jingsong Lv, Xiang Li

CoRR, 2024

Towards Learning from Graphs with Heterophily: Progress and Future.

Chenghua Gong, Yao Cheng, Jianxiang Yu, Can Xu, Caihua Shan, Siqiang Luo, Xiang Li

CoRR, 2024

Self-pro: A Self-prompt and Tuning Framework for Graph Neural Networks.

Chenghua Gong, Xiang Li, Jianxiang Yu, Yao Cheng, Jiaqi Tan, Chengcheng Yu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis.

Jianxiang Yu, Zichen Ding, Jiaqi Tan, Kangyang Luo, Zhenmin Weng, Chenghua Gong, Long Zeng, Renjing Cui, Chengcheng Han, Qiushi Sun, Zhiyong Wu, Yunshi Lan, Xiang Li

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

2023

Self-supervised Heterogeneous Graph Variational Autoencoders.

Yige Zhao, Jianxiang Yu, Yao Cheng, Chengcheng Yu, Yiding Liu, Xiang Li, Shuaiqiang Wang

CoRR, 2023

Resist Label Noise with PGM for Graph Neural Networks.

Qingqing Ge, Jianxiang Yu, Zeyuan Zhao, Xiang Li

CoRR, 2023

Prompt Tuning for Multi-View Graph Contrastive Learning.

Chenghua Gong, Xiang Li, Jianxiang Yu, Cheng Yao, Jiaqi Tan, Chengcheng Yu, Dawei Yin

CoRR, 2023

Empower Text-Attributed Graphs Learning with Large Language Models (LLMs).

Jianxiang Yu, Yuxiang Ren, Chenghua Gong, Jiaqi Tan, Xiang Li, Xuecang Zhang

CoRR, 2023

Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Weighted Negative Samples.

Jianxiang Yu, Xiang Li

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Context-Aware Session-Based Recommendation with Graph Neural Networks.

Zhihui Zhang, Jianxiang Yu, Xiang Li

Proceedings of the IEEE International Conference on Knowledge Graph, 2023