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2020 – today
- 2024
[j4]Xing Su
, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu:
A Comprehensive Survey on Community Detection With Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4682-4702 (2024)- [c8]Xiaoxiao Ma, Ruikun Li, Fanzhen Liu, Kaize Ding, Jian Yang, Jia Wu:
Graph Anomaly Detection with Few Labels: A Data-Centric Approach. KDD 2024: 2153-2164 - [c7]Jiaqi Dai, Min Jiang, Fanzhen Liu, Ronghua Huang:
Personalized Image Aesthetics Assessment Based on Theme and Personality. KSEM (5) 2024: 224-234 - 2022
- [j3]Fanzhen Liu, Zhao Li, Baokun Wang, Jia Wu, Jian Yang, Jiaming Huang, Yiqing Zhang, Weiqiang Wang, Shan Xue, Surya Nepal, Quan Z. Sheng:
eRiskCom: an e-commerce risky community detection platform. VLDB J. 31(5): 1085-1101 (2022) - [c6]Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal:
DAGAD: Data Augmentation for Graph Anomaly Detection. ICDM 2022: 259-268 - [i3]Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal:
DAGAD: Data Augmentation for Graph Anomaly Detection. CoRR abs/2210.09766 (2022) - 2021
- [i2]Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu:
A Comprehensive Survey on Community Detection with Deep Learning. CoRR abs/2105.12584 (2021) - 2020
- [j2]Sanmin Liu, Shan Xue, Fanzhen Liu, Jieren Cheng, Xiulai Li, Chao Kong, Jia Wu:
Microcluster-Based Incremental Ensemble Learning for Noisy, Nonstationary Data Streams. Complex. 2020: 6147378:1-6147378:12 (2020) - [j1]Fanzhen Liu, Jia Wu, Shan Xue, Chuan Zhou, Jian Yang, Quanzheng Sheng:
Detecting the evolving community structure in dynamic social networks. World Wide Web 23(2): 715-733 (2020) - [c5]Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Jian Yang, Philip S. Yu:
Deep Learning for Community Detection: Progress, Challenges and Opportunities. IJCAI 2020: 4981-4987 - [i1]Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Jian Yang, Philip S. Yu:
Deep Learning for Community Detection: Progress, Challenges and Opportunities. CoRR abs/2005.08225 (2020)
2010 – 2019
- 2019
- [c4]Fanzhen Liu, Jia Wu, Chuan Zhou, Jian Yang:
Evolutionary Community Detection in Dynamic Social Networks. IJCNN 2019: 1-7 - 2017
- [c3]Fanzhen Liu, Jiaqi Zhong, Chen Liu, Chao Gao, Xianghua Li:
A novel strategy of initializing the population size for ant colony optimization algorithms in TSP. ICNC-FSKD 2017: 249-253 - [c2]Zhengpeng Chen, Fanzhen Liu, Chao Gao, Xianghua Li, Zili Zhang:
An Enhanced Particle Swarm Optimization Based on Physarum Model for Community Detection. ICSI (2) 2017: 99-108 - [c1]Fanzhen Liu, Zhengpeng Chen, Yali Cui, Chen Liu, Xianghua Li, Chao Gao:
A hybrid evolutionary algorithm for community detection. WI 2017: 469-475
Coauthor Index
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