Satellite Telemetry Data Anomaly Detection Using Causal Network and Feature-Attention-Based LSTM. - Zefan Zeng; Guang Jin; Chi Xu; Siya Chen; Zhelong Zeng; Lu Zhang (IEEE Trans. Instrum. Meas., 2022)

Extracting Events Using Spans Enhanced with Trigger-Argument Interaction. - Chi Xu; Zefan Zeng; Jiashun Duan; Qi Qi; Xin Zhang (ISKE, 2023)

Aligning the Representation of Knowledge Graph and Large Language Model for Causal Question Answering. - Zefan Zeng; Qing Cheng 004; Xingchen Hu; Zhong Liu 002; Jingke Shen; Yahao Zhang (IEEE Big Data, 2024)

A Survey of Event Causality Identification: Principles, Taxonomy, Challenges, and Assessment. - Qing Cheng 004; Zefan Zeng; Xingchen Hu; Yuehang Si; Zhong Liu 002 (CoRR, 2024)

RuMER-RL: A hybrid framework for sparse knowledge graph explainable reasoning. - Zefan Zeng; Qing Cheng 004; Yuehang Si; Zhong Liu 002 (Inf. Sci., 2024)

KoSEL: Knowledge subgraph enhanced large language model for medical question answering. - Zefan Zeng; Qing Cheng 004; Xingchen Hu; Yan Zhuang; Xinwang Liu 002; Kunlun He; Zhong Liu 002 (Knowl. Based Syst., 2025)

Zero-Shot Event Causality Identification via Multi-source Evidence Fuzzy Aggregation with Large Language Models. - Zefan Zeng; Xingchen Hu; Qing Cheng 004; Weiping Ding 001; Wentao Li 004; Zhong Liu 002 (CoRR, 2025)

T3DM: Test-Time Training-Guided Distribution Shift Modelling for Temporal Knowledge Graph Reasoning. - Yuehang Si; Zefan Zeng; Jincai Huang 001; Qing Cheng 004 (CoRR, 2025)