Command and Control Network Modeling and Efficiency Measure Based on Capability Weighted-Node. - Wei Du; Zhong Liu 002; Bao-Xin Xiu; Weiming Zhang 003; Qing Cheng 004 (DASC, 2011)

The analysis interface of dynamic network analysis for networked military organizations. - Jincai Huang 001; Qing Cheng 004; Guangquan Cheng; Zhong Liu 002; Guoli Yang (ICMLC, 2012)

Hierarchical Clustering Based on Hyper-edge Similarity for Community Detection. - Qing Cheng 004; Zhong Liu 002; Jincai Huang 001; Cheng Zhu 002; Yanjun Liu (Web Intelligence, 2012)

Mining research trends with anomaly detection models: the case of social computing research. - Qing Cheng 004; Xin Lu 002; Zhong Liu 002; Jincai Huang 001 (Scientometrics, 2015)

Community detection in hypernetwork via Density-Ordered Tree partition. - Qing Cheng 004; Zhong Liu 002; Jincai Huang 001; Guangquan Cheng (Appl. Math. Comput., 2016)

Crime-GAN: A Context-based Sequence Generative Network for Crime Forecasting with Adversarial Loss. - Guangyin Jin; Qi Wang 005; Xia Zhao; Yanghe Feng; Qing Cheng 004; Jincai Huang 001 (IEEE BigData, 2019)

Analysis of the European stock market's advance response time to COVID-19 based on Pearson correlation Coefficient. - Min Wang 034; Qing Cheng 004; Jincai Huang 001; Guangquan Cheng (ACAI, 2020)

An unsupervised ensemble framework for node anomaly behavior detection in social network. - Qing Cheng 004; Yun Zhou 001; Yanghe Feng; Zhong Liu 002 (Soft Comput., 2020)

GSEN: An ensemble deep learning benchmark model for urban hotspots spatiotemporal prediction. - Guangyin Jin; Hengyu Sha; Yanghe Feng; Qing Cheng 004; Jincai Huang 001 (Neurocomputing, 2021)

Detection of anomalies in key performance indicator data by a convolutional long short-term memory prediction model. - Jie Xie; Qing Cheng 004; Guangquan Cheng; Jincai Huang 001 (CACML, 2022)

GCL: Graph Calibration Loss for Trustworthy Graph Neural Network. - Min Wang 034; Hao Yang 042; Qing Cheng 004 (ACM Multimedia, 2022)

Sketch Input Method Editor: A Comprehensive Dataset and Methodology for Systematic Input Recognition. - Guangming Zhu 001; Siyuan Wang; Qing Cheng 004; Kelong Wu; Hao Li; Liang Zhang 010 (ACM Multimedia, 2023)

Event detection based on the label attention mechanism. - Qing Cheng 004; Yanghui Fu; Jincai Huang 001; Guangquan Cheng; Hang Du (Int. J. Mach. Learn. Cybern., 2023)

Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks. - Min Wang 034; Hao Yang 042; Jincai Huang 001; Qing Cheng 004 (AAAI, 2024)

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)

Coherence mode: Characterizing local graph structural information for temporal knowledge graph. - Yuehang Si; Xingchen Hu; Qing Cheng 004; Xinwang Liu 002; Shixuan Liu; Jincai Huang 001 (Inf. Sci., 2025)

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)