SiMFy: A Simple Yet Effective Approach for Temporal Knowledge Graph Reasoning. - Zhengtao Liu; Lei Tan; Mengfan Li 001; Yao Wan 001; Hai Jin 001; Xuanhua Shi (EMNLP (Findings), 2023)

Hyperbolic Hypergraph Neural Networks for Multi-Relational Knowledge Hypergraph Representation. - Mengfan Li 001; Xuanhua Shi; Chenqi Qiao; Teng Zhang 001; Hai Jin 001 (CoRR, 2024)

RE-SEGNN: recurrent semantic evidence-aware graph neural network for temporal knowledge graph forecasting. - Wenyu Cai; Mengfan Li 001; Xuanhua Shi; Yuanxin Fan; Quntao Zhu; Hai Jin 001 (Sci. China Inf. Sci., 2025)

Text-augmented long-term relation dependency learning for knowledge graph representation. - Quntao Zhu; Mengfan Li 001; Yuanjun Gao; Yao Wan 001; Xuanhua Shi; Hai Jin 001 (High Confid. Comput., 2025)

E2CNN: entity-type-enriched cascaded neural network for Chinese financial relation extraction. - Mengfan Li 001; Xuanhua Shi; Chenqi Qiao; Xiao Huang; Weihao Wang; Yao Wan 001; Teng Zhang 001; Hai Jin 001 (Frontiers Comput. Sci., 2025)

RecToM: A Benchmark for Evaluating Machine Theory of Mind in LLM-based Conversational Recommender Systems. - Mengfan Li 001; Xuanhua Shi; Yang Deng 002 (AAAI, 2026)

CoSToM: Causal-oriented Steering for Intrinsic Theory-of-Mind Alignment in Large Language Models. - Mengfan Li 001; Xuanhua Shi; Yang Deng 002 (ACL (1), 2026)

CoSToM:Causal-oriented Steering for Intrinsic Theory-of-Mind Alignment in Large Language Models. - Mengfan Li 001; Xuanhua Shi; Yang Deng 002 (CoRR, 2026)