Homepage of Qingyuan Gong
About Me

I am now working as a Tenure-Track Associate Professor at Fudan University with the Research Institute of Intelligent Complex Systems. My current research interests consist of mobile systems and user behavior modeling in online social networks. I served as the PI of projects funded by National Natural Science Foundation of China (No. 62102094), and Science and Technology Commission of Shanghai Municipality (No. 24692102500).
I received my PhD degree in Computer Science and graduated from Fudan University with honor in Sep. 2020. Before joining the Research Institute of Intelligent Complex Systems, I worked as a Postdoc Researcher at School of Computer Science, Fudan University (Shanghai Super Postdoc Fellowship), and served as the PI of China Postdoctoral Science Foundation (No. 2021M690667, No. 2022T150130).
(
gongqingyuan@fudan dot edu dot cn)
News
- I was awarded the Qingzhi LLM grant from Chinese Information Processing Society of China – Social Media Processing Branch (CIPS – SMP). Thanks for supporting our work about AA-LLM (Article Assistant -LLM), which aims to improve the understanding of research articles and retrieve extraordinary cross-domain ideas.
- My students Shaokui, Yongjie, and Jingwei won the First Prize in the 5th Social Computing Innovative Challenge in China National Conference on Big Data & Social Computing. Cheers to that!
- Our paper was awarded the Most Welcomed Paper Award on China National Conference on Big Data & Social Computing (BDSC), 2025. Big congrats to Shaojie!
- I was awarded First Prize, Shanghai Open Source Innovation Outstanding Achievement Award, 2025, together with Prof. Wei Yang, Prof. Yi Sun, Prof. Pan Hui, and Shaokui.
- I was awarded Excellent Author by Wiley China in December 2024 for contributions in Scientific Innovation.
- Our paper was awarded the Most Welcomed Paper Award on China National Conference on Big Data & Social Computing (BDSC), 2024. Big Congrats to Kebing!
Publication
Refereed Journal / Magazine / Conference Papers:
(* denotes corresponding author, # denotes co-first author)
- Min Gao, Qiongzan Ye, Yangbo Gao, Zhenhua Zhang, Yu Chen, Yupeng Li, Shutong Chen, Qingyuan Gong, Xin Wang, Yang Chen*. Fine-Grained Behavioral Modeling with Graph Neural Networks for Financial Identity Theft Detection. To appear: IEEE Transactions on Network Science and Engineering.
- Shaokui Gu, Yang Zhang, Xiangguo Sun, Shuo Yu, Xu Yuan, Qiang Duan, Fenghua Tong, Qingyuan Gong*. Relational Diversification-based Anti-Mapping for Concealing User Preference. To appear: Tsinghua Science and Technology.
- Shaokui Gu, Yongjie Yin, Qingyuan Gong*, Fenghua Tong, Yipeng Zhou, Qiang Duan and Yang Chen. A Large-Scale Dataset of Interactions Between Weibo Users and Platform-Empowered LLM. Proc. of the 34th ACM International Conference on Information and Knowledge Management (CIKM’25), Resource Track, Seoul, Korea, Nov. 2025. [PDF|Dataset]
- Yule Liu, Zhiyuan Zhong, Yifan Liao, Zhen Sun, Jingyi Zheng, Jiaheng Wei, Qingyuan Gong, Fenghua Tong, Yang Chen, Yang Zhang, Xinlei He. On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing. Proc. of 2025 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’25), Datasets and Benchmarks Track, Toronto, Ontario, Canada, Aug. 2025.
- Qingyuan Gong, Shaokui Gu, Xin Wang, Junjie Yao, Pan Hui, Jar-Der Luo, Xiaoming Fu, Yang Chen*. DeepHole: Identifying Structural Hole Spanners in Online Social Networks using Behavior Embedding. IEEE Transactions on Computational Social Systems, vol. 12, no. 6, pp. 4067-4083, Dec. 2025.
- Bodian Ye, Min Gao, Xiu-Xiu Zhan, Xinlei He, Zi-Ke Zhang, Qingyuan Gong*, Xin Wang, Yang Chen*. EasyHypergraph: an open-source software for fast and memory-saving analysis and learning of higher-order networks. Humanities and Social Sciences Communications, 2025, 12:1291. [PDF] (Nature Portfolio).
- Yongjie Yin, Hui Ruan, Yang Chen, Jiong Chen, Ziyue Li, Xiang Su, Yipeng Zhou, Qingyuan Gong*. Prototypical Clustered Federated Learning for Heart Rate Prediction. Frontiers of Information Technology & Electronic Engineering, Vol. 26, Issue 10, Pages: 1896-1912(2025). [PDF]
- Shaojie Min#, Shaobin Wang#, Yaxiao Luo, Min Gao, Qingyuan Gong*, Yu Xiao,Yang Chen*. FediLive: A Framework for Collecting and Preprocessing Snapshots of Decentralized Online Social Networks. Proc. of the Web Conference (WWW’25), Resource Track, Sydney, Australia, Apr.-May 2025. [PDF|Code]
- Jingjing Qu, Liwei Chen, Hui Zou, Hui Hui, Wen Zheng, Jar-Der Luo, Qingyuan Gong, Yuwei Zhang, Tianyu Wen, Yang Chen*. Joint-Sensemaking, Innovation and Communication Management during Crisis: Evidence from the DCT Applications in China. Big Data & Society, 2024, 11(3). [PDF|WeChat(Swarma)]
- Jiayun Zhang, Qingyuan Gong*, Yang Chen*, Yu Xiao, Xin Wang, and Aaron Yi Ding. Understanding Work Rhythms in Software Development and Their Effects on Technical Performance. IET Software, 2024, Volume 2024, Issue 1, Article ID 8846233. [PDF]
- Min Gao, Zheng Li, Ruichen Li, Chenhao Cui, Xinyuan Chen, Bodian Ye, Yupeng Li, Weiwei Gu, Qingyuan Gong, Xin Wang, Yang Chen*. EasyGraph: A Multifunctional, Cross-Platform and Effective Library for Interdisciplinary Network Analysis. Patterns, 2023, 4(10):100839. (Cell Press) [Paper|Project|Code|WeChat(Cell Press)|WeChat(Swarma)]
- 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. [PDF]
- Yuwei Zhang, Qingyuan Gong, Yang Chen*, Yu Xiao, Xin Wang, Pan Hui, Xiaoming Fu. A Human Mobility Dataset Collected via LBSLab. Data in Brief, 2023, 46:108898. [PDF]
- Wanda Li, Zhiwei Xu, Yi Sun, Qingyuan Gong, Yang Chen*, Aaron Yi Ding, Xin Wang, Pan Hui. DeepPick: A Deep Learning Approach to Unveil Outstanding Users with Public Attainable Features. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, 35(1):291-306. [PDF]
- Qinge Xie, Qingyuan Gong, Xinlei He, Yang Chen*, Xin Wang, Haitao Zheng, Ben Y. Zhao. Trimming Mobile Applications for Bandwidth-Challenged Networks in Developing Regions. IEEE Transactions on Mobile Computing (TMC), 2023, 22(1):556-573. [PDF]
- Jiaqi Wu, Bodian Ye, Qingyuan Gong, Atte Oksanen, Cong Li, Jingjing Qu, Felicia F. Tian, Xiang Li, Yang Chen*. Characterizing and Understanding the Development of Social Computing through DBLP: A Data-Driven Analysis. Journal of Social Computing, 2022, 3(4):287-302. [PDF|WeChat]
- Zihang Lin#, Yuwei Zhang#, Qingyuan Gong*, Yang Chen*, Atte Oksanen, Aaron Yi Ding. Structural Hole Theory in Social Network Analysis: A Review. IEEE Transactions on Computational Social Systems (TCSS), 2022, 9(3):724-739. [PDF]
- Min Gao, Yang Chen*, Qingyuan Gong, Xin Wang, Pan Hui. Understanding Scholar Social Networks: Taking SCHOLAT as An Example. Proc. of the 16th CCF Chinese Conference on Computer Supported Cooperative Work (ChineseCSCW’21), Xiangtan, China, Nov. 2021. [PDF]
- 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. [PDF]
- Qingyuan Gong, Yang Chen*, Xinlei He, Yu Xiao, Pan Hui, Xin Wang, Xiaoming Fu. Cross-Site Prediction on Social Influence for Cold-Start Users in Online Social Networks. ACM Transactions on the Web (TWEB), 2021, 15(2):6:1-6:23. (Selected for oral presentation in the Web Conference 2022) [PDF|Slides(WWW’22)]
- Jiayun Zhang, Yang Chen*, Qingyuan Gong, Xin Wang, Aaron Yi Ding, Yu Xiao, Pan Hui. Understanding the Working Time of Developers in IT Companies in China and the United States. IEEE Software, 2021, 38(2):96-106. [PDF]
- Qingyuan Gong, Jiayun Zhang, Yang Chen*, Qi Li, Yu Xiao, Xin Wang, Pan Hui. Detecting Malicious Accounts in Online Developer Communities Using Deep Learning. Proc. of the 28th ACM International Conference on Information and Knowledge Management (CIKM’19), Beijing, China, Nov. 2019. (Acceptance ratio: 202/1031=19.59%) [PDF]
- Qingyuan Gong, Yang Chen*, Xiaolong Yu, Chao Xu, Zhichun Guo, Yu Xiao, Fehmi Ben Abdesslem, Xin Wang, Pan Hui. Exploring the Power of Social Hub Services. World Wide Web: Internet and Web Information Systems (WWW), 2019, 22(6):2825-2852. [PDF]
- Chenxi Yang, Yang Chen*, Qingyuan Gong, Xinlei He, Yu Xiao, Yuhuan Huang, Xiaoming Fu. Understanding the Behavioral Differences Between American and German Users: A Data-Driven Study. Big Data Mining and Analytics, 2018, 1(4):284-296. [PDF|Slides|WeChat]
- Yixiao Xu, Tao Wang, Qi Li, Qingyuan Gong, Yang Chen, Yong Jiang. A Multi-tab Website Fingerprinting Attack. Proc. of the 2018 Annual Computer Security Applications Conference (ACSAC’18), San Juan, Puerto Rico, USA, Dec. 2018. (Acceptance ratio: 60/299=20.06%) [PDF]
- 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. [PDF|Dataset]
- Qingyuan Gong, Yang Chen*, Xinlei He, Zhou Zhuang, Tianyi Wang, Hong Huang, Xin Wang, Xiaoming Fu. DeepScan: Exploiting Deep Learning for Malicious Account Detection in Location-Based Social Networks. IEEE Communications Magazine, 2018, 56(11):21-27. (2018 IF: 10.356) [PDF|Slides]
Refereed Workshop Papers / Posters / Demos / WiPs:
- Qingyuan Gong, Hui Ruan, Yang Chen*, Xiang Su. CloudyFL: A Cloudlet-Based Federated Learning Framework for Sensing User Behavior Using Wearable Devices. Proc. of the 6th International Workshop on Embedded and Mobile Deep Learning (EMDL’22), co-located with ACM MobiSys 2022, Portland, OR, USA, Jul. 2022. [PDF]
- Qingyuan Gong, Jiayun Zhang, Xin Wang, Yang Chen*. Identifying Structural Hole Spanners in Online Social Networks Using Machine Learning. Proc. of ACM SIGCOMM (SIGCOMM’19), Poster Session, Beijing, China, Aug. 2019. [PDF]
- Qingyuan Gong, Xinlei He, Qinge Xie, Shihan Lin, Guozhen She, Ruiyu Fang, Rui Han, Yang Chen*, Yu Xiao, Xiaoming Fu, Xin Wang. LBSLab: A User Data Collection System in Mobile Environments. Proc. of the International Workshop on Mobile Human Contributions: Opportunities and Challenges (MHC’18), co-located with the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp’18), Singapore, Oct. 2018. [PDF]
- Hao Zhao, Qingyuan Gong, Yang Chen*, Jingrong Chen, Yong Li, Xiaoming Fu. This Place is Swarming: Using a Mobile Social App to Study Human Traffic in Cities. Proc. of 5th International Workshop on Crowd Assisted Sensing, Pervasive Systems and Communications (CASPer’18), co-located with the 16th IEEE International Conference on Pervasive Computing and Communications (PerCom’18), Athens, Greece, Mar. 2018. [PDF|Bibtex]
- Kebing Liu and Qingyuan Gong*. Measurement and Analysis of China’s Fashion Events on Social Media: A Study of Shanghai Fashion Week. Proc. of BDSC 2024, pp.369-383, Harbin, China.
- Qingyuan Gong, Jiaqi Wang, Dongsheng Wei, Jin Wang, Xin Wang. Optimal Node Selection for Data Regeneration in Heterogeneous Distributed Storage Systems. IEEE International Conference on Parallel Processing (ICPP), 2015.
- Xu Zhang, Hai Wang, Qingyuan Gong, Xin Wang. Decluster: A Complex Network Model-Based Data Center Network Topology. The Journal of Supercomputing, 2014, 70(3): 1365-1382.
Publications in Chinese (中文论文):
- 汤家伟, 刘育杉, 高敏, 宫庆媛, 王新, 陈阳*. Cerberus:基于深度学习的跨网站社交网络机器人检测系统. 智能科学与技术学报, 2024, 6(4):482-494. [PDF]
- 王明宇, 宫庆媛*, 瞿晶晶, 王新. 基于机器学习的GitHub企业影响力分析与预测. 智能科学与技术学报, 2023, 5(03):330-342.[PDF]
- 陈阳, 宫庆媛, 王新. 再谈Facebook事件与在线社交网络隐私保护. 中国计算机学会通讯, 2018, 14(5):68-71. [PDF]
Teaching
2025 Spring Frontiers of Social Computing (Selected as “AI-BEST Courses” at Fudan University)
2024 Autumn Online Social Networks
2023 Autumn Online Social Networks
Services
TPC member of ACM WWWW 2026, Systems and Infrastructure for Web, Mobile, and Web of Things
TPC member of ACM CIKM 2025, Full Paper Track and Resource Track
TPC Chair of SocialMeta Workshop 2024, co-located with ACM SenSys’24
TPC memberof ACM CIKM 2024, Short Paper Track
TPC member of IJCAI 2022, IJCAI 2021, IEEE ICCCN 2018
Web Chair of IEEE INFOCOM HotPOST Workshop 2018
Projects
QingyunGo Mobile Application: A WeChat Mini Program
Awards
First Prize, Shanghai Open Source Innovation Outstanding Achievement Award, 2025
Wiley China Excellent Author Program, 2024.12
Grand Prize, Shanghai Open Source Innovation Outstanding Achievement Award, 2023
Third Prize, Shanghai Computer Society Award for Science and Technology, 2021
Rising Star in Social Computing Award by Chinese Association for Artificial Intelligence (CAAI), 2021
Shanghai “Super Postdoc” Fellowship, 2020.9-2022.9
Excellent Graduate of Shanghai, 2020.9
Student Research Contest travel grant of ACM SIGCOMM, 2019.8
Student travel grant of ACM UbiComp, 2018.10
Student travel grant of ACM CoNEXT, 2017.11
Student travel grant of ACM SIGCOMM, 2017.8
First Class Scholarship for Graduate Students, Fudan University, 2015-2017
Google Anita Borg Scholarship, 2014
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