Tianqianjin Lin

According to our database, Tianqianjin Lin authored at least 11 papers between 2019 and 2024.

Collaborative distances:

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

2024

Towards human-like perception: Learning structural causal model in heterogeneous graph.

Tianqianjin Lin, Kaisong Song, Zhuoren Jiang, Yangyang Kang, Weikang Yuan, Xurui Li, Changlong Sun, Cui Huang, Xiaozhong Liu

Inf. Process. Manag., March, 2024

LangGFM: A Large Language Model Alone Can be a Powerful Graph Foundation Model.

Tianqianjin Lin, Pengwei Yan, Kaisong Song, Zhuoren Jiang, Yangyang Kang, Jun Lin, Weikang Yuan, Junjie Cao, Changlong Sun, Xiaozhong Liu

CoRR, 2024

Modeling Scholarly Collaboration and Temporal Dynamics in Citation Networks for Impact Prediction.

Pengwei Yan, Yangyang Kang, Zhuoren Jiang, Kaisong Song, Tianqianjin Lin, Changlong Sun, Xiaozhong Liu

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Detecting the Rumor Patterns Integrating Features of User, Content, and the Spreading Structure.

Pengwei Yan, Guo Yu, Zhuoren Jiang, Tianqianjin Lin, Weikang Yuan, Xiaozhong Liu

Proceedings of the Wisdom, Well-Being, Win-Win, 2024

Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights from Multi-Agent Collaboration.

Weikang Yuan, Junjie Cao, Zhuoren Jiang, Yangyang Kang, Jun Lin, Kaisong Song, Tianqianjin Lin, Pengwei Yan, Changlong Sun, Xiaozhong Liu

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

PDAMeta: Meta-Learning Framework with Progressive Data Augmentation for Few-Shot Text Classification.

Xurui Li, Kaisong Song, Tianqianjin Lin, Yangyang Kang, Fubang Zhao, Changlong Sun, Xiaozhong Liu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery.

Pengwei Yan, Kaisong Song, Zhuoren Jiang, Yangyang Kang, Tianqianjin Lin, Changlong Sun, Xiaozhong Liu

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

2023

Deep representation learning of scientific paper reveals its potential scholarly impact.

Zhuoren Jiang, Tianqianjin Lin, Cui Huang

J. Informetrics, February, 2023

STINMatch: Semi-Supervised Semantic-Topological Iteration Network for Financial Risk Detection via News Label Diffusion.

Xurui Li, Yue Qin, Rui Zhu, Tianqianjin Lin, Yongming Fan, Yangyang Kang, Kaisong Song, Fubang Zhao, Changlong Sun, Haixu Tang, Xiaozhong Liu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021

Evaluating Chinese government WeChat official accounts in public service delivery: A user-centered approach.

Tingting Jiang, Ying Wang, Tianqianjin Lin, Lina Shangguan

Gov. Inf. Q., 2021

2019

A clickstream data analysis of users' behavior on a government WeChat official account.

Tingting Jiang, Tianqianjin Lin, Lina Shangguan, Ying Wang

Proceedings of the Information... Anyone, Anywhere, Any Time, Any Way, 2019