Biography

I am currently a Research Professor of the College of Computer Science and Technology, Zhejiang University. I received the Ph.D. degree in computer science from Zhejiang University in 2017, under the supervision of Prof. Gang Pan. I visited the Human-Computer Interaction Institute at Carnegie Mellon University as a visiting PhD student from September 2015 to September 2016, working with Prof. Anind K. Dey. I was a Postdoctoral Research Fellow of the College of Computer Science and Technology, Zhejiang University, from June 2017 to January 2021, working with Prof. Gang Pan. I won the Best Paper Award of ACM UbiComp’16.

News

2023/07: Our paper "Narcolepsy Diagnosis with Sleep Stage Features Using PSG Recordings“ is accepted by IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE). This is our first BCI-related work. Congratulations to Jiquan.

2022/11: Our paper "Loan Fraud Users Detection in Online Lending Leveraging Multiple Data Views“ is accepted by AAAI 2023.

2022/4: Our paper "Rapid Earthquake Magnitude Estimation Using Deep Learning“ is accepted by IEEE IJCNN 2022.

2021/11: Our paper "T-Detector: A Trajectory based Pre-trained Model for Game Bot Detection in MMORPGs“ is accepted by IEEE ICDE 2022.

2021/08: Our paper "What are More Important for Aftershocks Spatial Distribution Prediction, Features or Models? A Case Study in China" is accepted by Journal of Seismology.

2021/02: Our paper "User Profiling from Their Smartphone Applications （利用智能手机Apps的用户画像）" is published by Communications of the CCF (中国计算机学会通讯).

2021/01: Our paper "Player Behavior Modeling for Enhancing Role-Playing Game Engagement" is accepted by IEEE Transactions on Computational Social Systems.

Publications

1. Sha Zhao, Julian Ramos, Jianrong Tao, Ziwen Jiang, Shijian Li, Zhaohui Wu, Gang Pan, and Anind Dey. Discovering Different Kinds of Smartphone Users Through Their Application Usage Behaviors. The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016) [Best Paper Award] (the first one in China) (CCF Rank: A) Full paper

2. Jiquan Wang, Sha Zhao^*, Yangxuan Zhou, Haiteng Jiang, Zhenghe Yu, Tao Li, Shijian Li, and Gang Pan. Narcolepsy Diagnosis with Sleep Stage Features Using PSG Recordings. IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), 2023

3. Sha Zhao, Yongrui Huang, Ling Chen, Chunping Wang, Shijian Li, Lei Chen, and Gang Pan. Loan Fraud Users Detection in Online Lending Leveraging Multiple Data Views. AAAI 2023 (CCF Rank: A)

4. Sha Zhao, Zhiling Luo, Ziwen Jiang, Haiyan Wang, Feng Xu, Shijian Li, Jianwei Yin, and Gang Pan. AppUsage2Vec: Modeling Smartphone App Usage for Prediction. The 35th IEEE International Conference on Data Engineering (ICDE2019) (CCF Rank: A) Full paper

5. Sha Zhao, Gang Pan, Jianrong Tao, Zhiling Luo, Shijian Li, and Zhaohui Wu. Understanding Smartphone Users from Installed App Lists Using Boolean Matrix Factorization. IEEE Transactions on Cybernetics，2022 (IF = 11.079) (JCR Section I) (ZJU Top) Full paper

6. Sha Zhao, Yizhi Xu, Xiaojuan Ma, Ziwen Jiang, Zhiling Luo, Shijian Li, Laurence T. Yang, Anind Dey, and Gang Pan. Gender Profiling from a Single Snapshot of Apps Installed on a Smartphone: An Empirical Study. IEEE Transactions on Industrial Informatics, 2019 (IF = 9.112) (JCR Section I) Full paper

7. Zhiling Luo, Yinghua Cui, Sha Zhao^*, and Jianwei Yin^*. g-Inspector: Recurrent Attention Model on Graph. IEEE Transactions on Knowledge and Data Engineering Computing (TKDE), 2020 (CCF Rank: A) (IF=4.935) Full paper

8. Sha Zhao, Junwei Fang, Shiwei Zhao, Runze Wu, Jianrong Tao, Shijian Li, and Gang Pan. T-Detector: A Trajectory based Pre-trained Model for Game Bot Detection in MMORPGs. The 38th IEEE International Conference on Data Engineering (ICDE2022) (CCF Rank: A)

9. Sha Zhao, Shijian Li, Julian Ramos, Zhiling Luo, Ziwen Jiang, Anind Dey, and Gang Pan. User Profiling from Their Use of Smartphone Applications: A Survey. Pervasive and Mobile Computing, 2019 (IF = 2.725) Full paper

10. Sha Zhao, Yizhi Xu, Zhiling Luo, Jianrong Tao, Shijian Li, Changjie Fan, and Gang Pan. Player Behavior Modeling for Enhancing Role-Playing Game Engagement. IEEE Transactions on Computational Social Systems, 2021 Full paper

11. Sha Zhao, Yizhi Xu, Zhiling Luo, Jie Liu, Jindong Song, Shijian Li, and Gang Pan. Mining User Attributes Using Large-scale APP lists of Smartphones. IEEE SYSTEMS JOURNAL, 2017 (IF = 3.987) (JCR Section II) Full paper

12. 赵莎, 李石坚, 潘纲. 利用智能手机Apps的用户画像. 中国计算机学会, 2021, 17 (2). Full paper

13. Sha Zhao, Julian Ramos, Jianrong Tao, Ziwen Jiang, Shijian Li, Zhaohui Wu, Gang Pan, and Anind Dey. Who Are the Smartphone Users? -- Identifying User Groups with Apps Usage Behaviors. ACM SIGMOBILE Mobile Computing and Communications Review, 2017 Full paper

14. Sha Zhao, Zhe Zhao, Runhe Huang, Zhiling Luo, Shijian Li, Jianrong Tao, Shiwei Cheng, Jing Fan, and Gang Pan. Discovering Individual Life Style from Anonymized WiFi Scan Lists on Smartphones. IEEE Access, 2019 (IF = 3.745) (JCR Section II) Full paper

15. Sha Zhao, Feng Xu, Yizhi Xu, Xiaojuan Ma, Zhiling Luo, Shijian Li, Anind Dey, and Gang Pan. Investigating Smartphone User Differences in Their Application Usage Behaviors: An Empirical Study. CCF Transactions on Pervasive Computing and Interaction, 2019 Full paper

16.Sha Zhao, Haiyan Wang, Yan Xue, Yilin Wang, Shijian Li, Jie Liu, and Gang Pan. What are More Important for Aftershocks Spatial Distribution Prediction, Features or Models? A Case Study in China. Journal of Seismology, 2021

17. Binbin Zhou, Sha Zhao, Longbiao Chen, Shijian Li, Zhaohui Wu, Gang Pan. Forecasting Price Trend of Bulk Commodities Leveraging Cross-domain Open Data Fusion. ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2019 (IF = 2.672) (JCR Section II) Full paper

18. Sha Zhao, Yizhi Xu, Zhiling Luo, Jianrong Tao, Shijian Li, Changjie Fan, and Gang Pan. Rapid Earthquake Magnitude Estimation Using Deep Learning. The 2022 International Joint Conference on Neural Networks (IJCNN 2022), 2022 (CCF Rank: C)presentation videos

19. Sha Zhao, Zhe Zhao, Yifan Zhao, Runhe Huang, Shijian Li, and Gang Pan. Discovering People's Life Patterns from Anonymized WiFi Scanlists. The 11th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2014) (CCF Rank: C) Full paper

20. Sha Zhao, Yifan Zhao, Zhiling Luo, Runhe Huang, Shijian Li, and Gang Pan. Characterizing a User from Large-scale Smartphone-sensed Data. ACM Workshop on The 2017 International Joint Conference on Pervasive and Ubiquitous Computing (UbiMI 2017) Full paper

21. Sha Zhao, Feng Xu, Zhiling Luo, Shijian Li, and Gang Pan. Demographic Attributes Prediction Through App Usage Behaviors on Smartphones. ACM Workshop on The 2018 International Joint Conference on Pervasive and Ubiquitous Computing (AppLens 2018) Full paper

22. Gang Pan, Zhiwen Yu, Sha Zhao ^*, Anind K. Dey. Proposal for Workshop on AppLens: Mining and Learning from Smartphone Apps for Users. Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers.

23. Sha Zhao, Yong Li, Sasu Tarkoma, Zhiwen Yu, Anind K. Dey, Gang Pan. AppLens 2019: The 2nd International Workshop on Mining and Learning from Smartphone Apps for Users. Proceedings of the 2019 ACM International Joint Conference and 2019 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers.

24. Binbin Zhou, Longbiao Chen, Sha Zhao, Shijian Li, Zengwei Zheng, and Gang Pan. Unsupervised domain adaptation for crime risk prediction across cities. IEEE Transactions on Computational Social Systems (TCSS), 2022

25. Fangxun Zhou, Binbin Zhou, Sha Zhao, and Gang Pan. DeepOffence: a Recurrent Network based Approach for Crime. CCF Transactions on Pervasive Computing and Interaction, 2022

26. Jianrong Tao, Jianshi Lin, Shize Zhang, Sha Zhao, Runze Wu, Changjie Fan, and Peng Cui. MVAN: Multi-view Attention Networks for Real Money Trading Detection in Online Games. (ACM SIGKDD 2019) (CCF Rank: A)

27. Pengfei Li, Hua Lu, Nattiya Kanhabua, Sha Zhao, and Gang Pan. Location Inference for Non-geotagged Tweets in User Timelines. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019 (CCF Rank: A) (IF=4.935)

28. Zengwei Zheng, Lifei Shi, Sha Zhao, Jianmin Hou, Lin Sun, Lin Dong, Yi Fang, Jie Liu, Shijian Li, and Gang Pan. Generating Phone-quality Records to Train Machine Learning Models for Smartphone-based Earthquake Early Warning. Journal of Seismology, 2021

29. Binbin Zhou, Longbiao Chen, Fangxun Zhou, Shijian Li, Sha Zhao, Sajal K. Das, and Gang Pan. ESCORT: Fine-grained Urban Crime Risk Inference Leveraging Heterogeneous Open Data with Application to Risk-aware Route Recommendation. IEEE Systems Journal, 2020 (IF=3.987)

30. Binbin Zhou, Longbiao Chen, Fangxun Zhou, Shijian Li, Sha Zhao, and Gang Pan. Spatio-temporal Analysis of Urban Crime Leveraging Multisource Crowdsensed Data. Personal and Ubiquitous Computing (PUC), 2020 (IF=2)

31. Binbin Zhou, Longbiao Chen, Sha Zhao, Fangxun Zhou, Shijian Li, and Gang Pan. Dynamic road crime risk prediction with urban open data. Frontiers Computing Science, 2022, 16(3), 161609

32. Binbin Zhou, Longbiao Chen, Sha Zhao, Shijian Li, Zengwei Zheng, and Gang Pan. Unsupervised Domain Adaptation for Crime Risk Prediction Across Cities. IEEE Transactions on Computational Social Systems (TCSS), 2022

33. Zengwei Zheng, Mingxuan Zhou, Yuanyi Chen, Meimei Huo, Lin Sun, Sha Zhao, and Dan Chen. A Fused Method of Machine Learning and Dynamic Time Warping for Road Anomalies Detection. IEEE Transactions on Intelligent Transportation Systems (TITS), 2020 (IF=6.319)

34. Jianrong Tao, Yu Xiong, Shiwei Zhao, Runze Wu, Xudong Shen, Tangjie Lyu, Changjie Fan, Zhipeng Hu, Sha Zhao, and Gang Pan. Explainable AI for Cheating Detection and Churn Prediction in Online Games. IEEE Transactions on Games, 2022 (IF=1.851)

35. 孙霖, 王跻权, 石利飞, 侯建民, 赵莎, 刘杰, 董霖, 郑增威. 基于智能手机MEMS的地震早期预警决策方法研究. 传感技术学报, 2021

36. Jianrong Tao, Linxia Gong, Changjie Fan, Longbiao Chen, Dezhi Ye and Sha Zhao. GMTL: A GART Based Multi-task Learning Model for Multi-Social-Temporal Prediction in Online Games. The 28th ACM International Conference on Information and Knowledge Management (CIKM 2019) (CCF Rank: B)

37. Chao Chen, Flora Salim, Luis Moreira-Matias, and Sha Zhao. Special issue on vehicles as sensing devices: from observations to actionable insights. Journal of Ambient Intelligence and Humanized Computing

38. Yu Chen, Zhiling Luo, Sha Zhao, Ying Li, and Jianwei Yin. Adversarial Attacks on Graphs by Adding Fake Nodes. AAAI Workshop on Deep Learning on Graphs: Methodologies and Applications (DLGMA'20)

39. Sha Zhao, Longbiao Chen, Shijian Li, and Gang Pan. iCPS-Car: An Intelligent Cyber-Physical System for Smart Automobiles. 2013 IEEE International Conference on Cyber, Physical and Social Computing (CPSCom 2013), 818-825. Full paper

40. Sha Zhao, Shijian Li, Gang Pan, and Hong Li. Design and Implementation of a driving simulation environment. 2011 Chinese Conference on Pervasive Computing (PCC 2011) [in Chinese]

41. Yang Xu, Shijian Li, Sha Zhao, and Gang Pan. A Novel Telematics Framework Based on Driving Behavior. 2013 Chinese Conference on Pervasive Computing (PCC 2013) [in Chinese]

42. Longbiao Chen, Yaochun Li, Zeming Zhegn, Li Zhang, Dan He, Xiaolong Li, Sha Zhao, Shijian Li, and Gang Pan. WaterLady: A Case Study for Connecting Physical Devices into Social Networks. The 9th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2012) (CCF Rank: C) Full paper

Projects

1. National Key R&D Program of China, 2018-2021

2. National Natural Science Foundation of China (NSFC), Young Scientist Fund, 2019-2021

3. China Postdoctoral Science Foundation (Special), 2018-2020

4. China Postdoctoral Science Foundation (First class), 2017-2020

Activities

ACM UbiComp 2019 Tutorial: Smartphone App Usage, Understanding, Modelling, And Prediction(September, 9, 2019, London, UK)

ACM UbiComp 2019 Workshop: AppLens 2019 (September, 9, 2019, London, UK) (Two datasets openning)

ACM UbiComp 2018 Workshop: AppLens 2018 (October 8, 2018, Singapore)

We organized a workshop "AppLens-Mining and Learning from Smartphones Apps for Users", in conjunction with the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing. More details can be seen at the AppLens2018 website.

Smartphone applications (abbr. apps) are ubiquitous in our daily life. Abundant apps provide useful services in almost every aspect of modern life. Easy to download and often free, apps can be fun and convenient for playing games, getting turn-by-turn directions, and accessing news, books, weather, and more. Apps on smartphones can be considered as the entry point to access everyday life services such as communication, shopping, navigation, and entertainment. Since a smartphone is linked to an individual user, apps in smartphones can sense users' behavior and activities.

Researchers can use smartphone apps to record users' personal history data, and use the data to analyze apps and understand users. In this workshop (AppLens 2018), we bring researchers together with an interest in understanding users from their use of smartphone apps (e.g., interests, personality, and life routines), discovering cultural and social phenomenon (e.g., social event detection) through analyzing app usage, recognizing app usage behaviors (e.g., app overuse detection), and studying smartphone apps (e.g., app categorization and app popularity prediction). We want researchers to share their experiences, success and frustrations on conducting research in such topics so as to capture a state-of-art on theories, models, and methodologies that cope with these challenges. This workshop will include paper sessions, invited talks, a panel session, and Best paper award.