Jiaqi Tan

According to our database, Jiaqi Tan authored at least 8 papers between 2023 and 2025.

Collaborative distances:

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

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

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

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

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

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