A novel strategy of initializing the population size for ant colony optimization algorithms in TSP. - Fanzhen Liu; Jiaqi Zhong; Chen Liu; Chao Gao; Xianghua Li (ICNC-FSKD, 2017)

An Enhanced Particle Swarm Optimization Based on Physarum Model for Community Detection. - Zhengpeng Chen; Fanzhen Liu; Chao Gao; Xianghua Li; Zili Zhang 001 (ICSI (2), 2017)

A hybrid evolutionary algorithm for community detection. - Fanzhen Liu; Zhengpeng Chen; Yali Cui; Chen Liu; Xianghua Li; Chao Gao (WI, 2017)

Evolutionary Community Detection in Dynamic Social Networks. - Fanzhen Liu; Jia Wu 001; Chuan Zhou 001; Jian Yang 001 (IJCNN, 2019)

Deep Learning for Community Detection: Progress, Challenges and Opportunities. - Fanzhen Liu; Shan Xue 001; Jia Wu 001; Chuan Zhou 001; Wenbin Hu 001; Cécile Paris; Surya Nepal; Jian Yang 001; Philip S. Yu (IJCAI, 2020)

Microcluster-Based Incremental Ensemble Learning for Noisy, Nonstationary Data Streams. - Sanmin Liu; Shan Xue 001; Fanzhen Liu; Jieren Cheng; Xiulai Li; Chao Kong; Jia Wu 001 (Complex., 2020)

Detecting the evolving community structure in dynamic social networks. - Fanzhen Liu; Jia Wu 001; Shan Xue 001; Chuan Zhou 001; Jian Yang 001; Quanzheng Sheng (World Wide Web, 2020)

DAGAD: Data Augmentation for Graph Anomaly Detection. - Fanzhen Liu; Xiaoxiao Ma 002; Jia Wu 001; Jian Yang 001; Shan Xue 001; Amin Beheshti; Chuan Zhou 001; Hao Peng 001; Quan Z. Sheng; Charu C. Aggarwal (ICDM, 2022)

eRiskCom: an e-commerce risky community detection platform. - Fanzhen Liu; Zhao Li 007; Baokun Wang; Jia Wu 001; Jian Yang 001; Jiaming Huang; Yiqing Zhang; Weiqiang Wang; Shan Xue 001; Surya Nepal; Quan Z. Sheng (VLDB J., 2022)

Graph Anomaly Detection with Few Labels: A Data-Centric Approach. - Xiaoxiao Ma 002; Ruikun Li 001; Fanzhen Liu; Kaize Ding; Jian Yang 001; Jia Wu 001 (KDD, 2024)

Personalized Image Aesthetics Assessment Based on Theme and Personality. - Jiaqi Dai; Min Jiang; Fanzhen Liu; Ronghua Huang (KSEM (5), 2024)

A Comprehensive Survey on Community Detection With Deep Learning. - Xing Su 006; Shan Xue 001; Fanzhen Liu; Jia Wu 001; Jian Yang 001; Chuan Zhou 001; Wenbin Hu 001; Cécile Paris; Surya Nepal; Di Jin 001; Quan Z. Sheng; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Rethinking Unsupervised Graph Anomaly Detection With Deep Learning: Residuals and Objectives. - Xiaoxiao Ma 002; Fanzhen Liu; Jia Wu 001; Jian Yang 001; Shan Xue 001; Quan Z. Sheng (IEEE Trans. Knowl. Data Eng., 2025)

GCFL: A Gradient Correction-based Federated Learning Framework for Privacy-preserving CPSS. - Jiayi Wan; Xiang Zhu; Fanzhen Liu; Wei Fan; Xiaolong Xu (CoRR, 2025)