A clickstream data analysis of users' behavior on a government WeChat official account. - Tingting Jiang 002; Tianqianjin Lin; Lina Shangguan; Ying Wang 052 (ASIST, 2019)

Evaluating Chinese government WeChat official accounts in public service delivery: A user-centered approach. - Tingting Jiang 002; Ying Wang 052; Tianqianjin Lin; Lina Shangguan (Gov. Inf. Q., 2021)

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 (EMNLP, 2023)

Deep representation learning of scientific paper reveals its potential scholarly impact. - Zhuoren Jiang; Tianqianjin Lin; Cui Huang (J. Informetrics, 2023)

Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery. - Pengwei Yan; Kaisong Song; Zhuoren Jiang; Yangyang Kang; Tianqianjin Lin; Changlong Sun; Xiaozhong Liu (AAAI, 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 (LREC/COLING, 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 (EMNLP (Findings), 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 (iConference (2), 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 (SIGIR, 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)

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., 2024)

Unraveling and Mitigating Endogenous Task-oriented Spurious Correlations in Ego-graphs via Automated Counterfactual Contrastive Learning. - Tianqianjin Lin; Yangyang Kang; Zhuoren Jiang; Kaisong Song; Kun Kuang; Changlong Sun; Cui Huang; Xiaozhong Liu (Expert Syst. Appl., 2025)

Preserving high-order ego-centric topological patterns in node representation in heterogeneous graph. - Tianqianjin Lin; Yangyang Kang; Zhuoren Jiang; Kaisong Song; Xurui Li; Hongsong Li; Jiawei Liu 002; Changlong Sun; Cui Huang; Xiaozhong Liu (Knowl. Based Syst., 2025)