Xing Su 苏醒

Biography

I am a research fellow at CICO (Global 500). I received my PhD degree in Artificial Intelligence from School of Computing, Macquarie University, Australia, supervised by Prof Jian Yang and Dr Jia Wu. I received my M.E. degree in Computer Science from Lanzhou University, China, in 2020. My current research interests include data mining and artificial intelligence, specializing in industrial equipment anomaly detection and collaborative multi-agent systems [Google Scholar].

Research Interests

Time-series and Graph-structured Data Mining and Analysis
Industrial Equipment Anomaly Detection
Industry-Specific Large Language Model
Collaborative Multi-Agent Systems
Misinformation Detection
Community Detection
Social Network Analysis
Deep Learning

Publications

[1] Xing Su, Jian Yang, Jia Wu, Zitai Qiu. Hy-DeFake: Hypergraph neural networks for detecting fake news in online social networks. Neural Networks, 2025.
[2] Xing Su, Jian Yang, Jia Wu, Zitai Qiu. Debunking Fake News in Online Social Networks Without Text Analysis. ICDM 2024. [Code]
[3] Xing Su, Yuchen Zhang, Jian Yang, Jia Wu. Emotion Graph Augmentation for Detecting Fake News in Online Social Networks. ADMA 2024.
[4] Zitai Qiu, Jia Wu, Jian Yang, Xing Su, Charu C Aggarwal. Heterogeneous Social Event Detection via Hyperbolic Graph Representations. IEEE Transactions on Big Data, 2024.
[5] Yuchen Zhang, Xing Su, Jia Wu, Jian Yang, Hao Fan, Xiaochuan Zheng. EmoKnow: Emotion-and Knowledge-Oriented Model for COVID-19 Fake News Detection. ADMA 2023.
[6] Xing Su, Jian Yang, Jia Wu, Yuchen Zhang. Mining User-aware Multi-Relations for Fake News Detection in Large Scale Online Social Networks. WSDM 2023. [Code]
[7] Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cecile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu. A Comprehensive Survey on Community Detection with Deep Learning. IEEE TNNLS (early access). [GitHub repository]
[8] Haijuan Yang, Jianjun Cheng*, Xing Su, Wenbo Zhang, Shiyan Zhao, Xiaoyun Chen. A Spiderweb Model for Community Detection in Dynamic Networks. Applied Intelligence, 2021, 51(7): 5157-5188.
[9] Xing Su, Jianjun Cheng*, Haijuan Yang, Mingwei Leng, Wenbo Zhang, Xiaoyun Chen. IncNSA: Detecting Communities Incrementally from Time-evolving Networks based on Node Similarity. International Journal of Modern Physics C, vol. 31(07), pages 1-19, 2020. [Code]
[10] Jianjun Cheng*, Wenbo Zhang, Haijuan Yang, Xing Su, Tao Ma, Xiaoyun Chen. A Seed-Expanding Method Based on TOPSIS for Community Detection in Complex Networks. Complexity, Vol. 2020, Article ID 9017239, 2020.
[11] Jianjun Cheng*, Xing Su, Haijuan Yang, Longjie Li, Jingming Zhang, Shiyan Zhao, Xiaoyun Chen. Neighbour Similarity Based Agglomerative Method for Community Detection in Networks. Complexity, vol. 2019, Article ID 8292485, 2019. [Code]
[12] Haijuan Yang, Jianjun Cheng*, Mingwei Leng, Xing Su, Wenbo Zhang, Xiaoyun Chen. Detecting Communities from Networks based on Their Intrinsic Properties. International Journal of Modern Physics C, vol. 30(12), pages 1-24, 2019.
[13] Jianjun Cheng*, Shiyan Zhao, Haijuan Yang, Jingming Zhang, Xing Su, Xiaoyun Chen. Detecting communities from networks using an improved self-organizing map. International Journal of Modern Physics C, vol. 30(06), pages 1-22, 2019.

Academic Service

Journal Reviewer

Neurocomputing
Neural Networks
Neural Processing Letters
ACM Transactions on Knowledge Discovery from Data
Journal of Network and Computer Applications
Transactions on Emerging Topics in Computing
New Generation Computing
PLOS ONE

Conference Reviewer

International Joint Conference on Neural Networks(IJCNN) 2022
The ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2021

Awards

Joint China Scholarship Council - Macquarie University Research Excellence Scholarship, 2020.
Excellent Graduate of LZU, 2020.
Merit Postgraduate of LZU, 2019.
Master’s Scholarship of LZU, 2017-2019.

Contact

Email: xing.su2@hdr.mq.edu.au