| Gong Qingyuan Associate Principal Investigator, Master Supervisor Research Institute of Intelligent Complex Systems, Fudan University |
Biography
Qingyuan Gong received her doctor’s degree in 2020 from School of Computer Science, Fudan University and continued her postdoctoral research work at the school from 2020 to 2022. Since 2022, she has worked as a Tenure-Track Associate Researcher in Research Institute of Intelligent Complex Systems, Fudan University. She focuses on big data research on user behavior analysis in online social networks.
Research Interests
social computing, complex networking, malicious user detection, deep learning
Representative Publications
1. Qingyuan Gong, Yushan Liu, Jiayun Zhang, Yang Chen, Qi Li, Yu Xiao, Xin Wang, Pan Hui:Detecting Malicious Accounts in Online Developer Communities Using Deep Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, 35(10): 10633-10649.
2. Qingyuan Gong, Yang Chen, Xinlei He, Yu Xiao, Pan Hui, Xin Wang and Xiaoming Fu. Cross-Site Prediction on Social Influence for Cold-Start Users in Emerging Online Social Networks. ACM Transactions on the Web (TWEB), 2021, 15(2):6:1-6:23.
3. Xinlei He, Qingyuan Gong, Yang Chen, Yang Zhang, Xin Wang, Xiaoming Fu. DatingSec: Detecting Malicious Accounts in Dating Apps Using a Content-Based Attention Network. IEEE Transactions on Dependable and Secure Computing (TDSC), 2021, 18(5): 2193-2208.
4. Xinlei He, Qingyuan Gong, Yang Chen, Yang Zhang, Xin Wang, Xiaoming Fu. DatingSec: Detecting Malicious Accounts in Dating Apps Using a Content-Based Attention Network. IEEE Transactions on Dependable and Secure Computing (TDSC), 2021, 18(5): 2193-2208.
5. Qingyuan Gong, Yang Chen, Jiyao Hu, Qiang Cao, Pan Hui, Xin Wang. Understanding Cross-site Linking in Online Social Networks. ACM Transactions on the Web (TWEB), 2018, 12(4):25:1-25:29.
