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Tianqianjin Lin
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2020 – today
- 2024
- [j3]Tianqianjin Lin, Kaisong Song, Zhuoren Jiang, Yangyang Kang, Weikang Yuan, Xurui Li, Changlong Sun, Cui Huang, Xiaozhong Liu:
Towards human-like perception: Learning structural causal model in heterogeneous graph. Inf. Process. Manag. 61(2): 103600 (2024) - [c7]Pengwei Yan, Kaisong Song, Zhuoren Jiang, Yangyang Kang, Tianqianjin Lin, Changlong Sun, Xiaozhong Liu:
Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery. AAAI 2024: 9223-9231 - [c6]Xurui Li, Kaisong Song, Tianqianjin Lin, Yangyang Kang, Fubang Zhao, Changlong Sun, Xiaozhong Liu:
PDAMeta: Meta-Learning Framework with Progressive Data Augmentation for Few-Shot Text Classification. LREC/COLING 2024: 12668-12678 - [c5]Weikang Yuan, Junjie Cao, Zhuoren Jiang, Yangyang Kang, Jun Lin, Kaisong Song, Tianqianjin Lin, Pengwei Yan, Changlong Sun, Xiaozhong Liu:
Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights from Multi-Agent Collaboration. EMNLP (Findings) 2024: 7577-7597 - [c4]Pengwei Yan, Guo Yu, Zhuoren Jiang, Tianqianjin Lin, Weikang Yuan, Xiaozhong Liu:
Detecting the Rumor Patterns Integrating Features of User, Content, and the Spreading Structure. iConference (2) 2024: 254-267 - [c3]Pengwei Yan, Yangyang Kang, Zhuoren Jiang, Kaisong Song, Tianqianjin Lin, Changlong Sun, Xiaozhong Liu:
Modeling Scholarly Collaboration and Temporal Dynamics in Citation Networks for Impact Prediction. SIGIR 2024: 2522-2526 - [i4]Weikang Yuan, Junjie Cao, Zhuoren Jiang, Yangyang Kang, Jun Lin, Kaisong Song, Tianqianjin Lin, Pengwei Yan, Changlong Sun, Xiaozhong Liu:
Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights from Multi-Agent Collaboration. CoRR abs/2410.02507 (2024) - [i3]Tianqianjin Lin, Pengwei Yan, Kaisong Song, Zhuoren Jiang, Yangyang Kang, Jun Lin, Weikang Yuan, Junjie Cao, Changlong Sun, Xiaozhong Liu:
LangGFM: A Large Language Model Alone Can be a Powerful Graph Foundation Model. CoRR abs/2410.14961 (2024) - 2023
- [j2]Zhuoren Jiang, Tianqianjin Lin, Cui Huang:
Deep representation learning of scientific paper reveals its potential scholarly impact. J. Informetrics 17(1): 101376 (2023) - [c2]Xurui Li, Yue Qin, Rui Zhu, Tianqianjin Lin, Yongming Fan, Yangyang Kang, Kaisong Song, Fubang Zhao, Changlong Sun, Haixu Tang, Xiaozhong Liu:
STINMatch: Semi-Supervised Semantic-Topological Iteration Network for Financial Risk Detection via News Label Diffusion. EMNLP 2023: 9304-9315 - [i2]Tianqianjin Lin, Kaisong Song, Zhuoren Jiang, Yangyang Kang, Weikang Yuan, Xurui Li, Changlong Sun, Cui Huang, Xiaozhong Liu:
Towards Human-like Perception: Learning Structural Causal Model in Heterogeneous Graph. CoRR abs/2312.05757 (2023) - [i1]Pengwei Yan, Kaisong Song, Zhuoren Jiang, Yangyang Kang, Tianqianjin Lin, Changlong Sun, Xiaozhong Liu:
Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery. CoRR abs/2312.11927 (2023) - 2021
- [j1]Tingting Jiang, Ying Wang, Tianqianjin Lin, Lina Shangguan:
Evaluating Chinese government WeChat official accounts in public service delivery: A user-centered approach. Gov. Inf. Q. 38(1): 101548 (2021)
2010 – 2019
- 2019
- [c1]Tingting Jiang, Tianqianjin Lin, Lina Shangguan, Ying Wang:
A clickstream data analysis of users' behavior on a government WeChat official account. ASIST 2019: 679-681
Coauthor Index
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