Social Action Tracking via Noise Tolerant Time-varying Factor Graphs
Chenhao Tan, Jie Tang, Jimeng Sun, Quan Lin, Fengjiao Wang. The 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. KDD 2010.
CV
Education
- B.S. in GitHub, GitHub University, 2012
- M.S. in Jekyll, GitHub University, 2014
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
Work experience
- Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
- Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
Why Checkins: Exploring User Motivation on Location Based Social Networks
Fengjiao Wang, Guan Wang, Shuyang Lin, Philip S. Yu. The 14th IEEE International Conference on Data Mining Workshop. ICDM 2014 Workshop.
When and Where: Predicting Human Movements Based on Social Spatial-Temporal Events
Ning Yang, Xiangnan Kong, Fengjiao Wang, Philip S. Yu. 2014 SIAM International Conference on Data Mining. SDM 2014.
Steering Information Diffusion Dynamically against User Attention Limitation
Shuyang Lin, Qingbo Hu, Fengjiao Wang, Philip S. Yu. The 14th IEEE International Conference on Data Mining. ICDM 2014.
Defending against User Identity Linkage Attack across Multiple Online Social Networks
Yilin Shen, Fengjiao Wang, Hongxia Jin. The 23rd international conference on World Wide Web companion. WWW Companion 2014.
Concurrent Goal-oriented Co-clustering Generation in Social Networks
Fengjiao Wang, Guan Wang, Shuyang Lin, Philip S. Yu. The 9th IEEE International Conference on Semantic Computing. ICSC 2015.
Collaborative Co-clustering across Multiple Social Media
Fengjiao Wang, Shuyang Lin, Philip S. Yu. The 17th IEEE International Conference on Mobile Data Management. MDM 2016.
Steering Information Diffusion Dynamically against User Attention Limitation
Xiao Pan, Jiawei Zhang, Fengjiao Wang, Philip S. Yu. 2016 IEEE International Conference on Big Data. BigData 2016.
Deep and Broad Learning on Content-Aware POI Recommendation
Fengjiao Wang, Yongzhi Qu, Lei Zheng, Chun-Ta Lu, Philip S. Yu. The 3rd IEEE International Conference on Collaboration and Internet Computing. CIC 2017.
Collective Geographical Embedding for Geolocating Social Network Users
Fengjiao Wang, Chun-Ta Lu, Yongzhi Qu, Philip S. Yu. THE 21TH Pacific-Asia Conference on Knowledge Discovery and Data Mining. PAKDD 2017.
PER: A Probabilistic Attentional Model for Personalized Text Recommendations
Lei Zheng, Yixue Wang, Lifang He, Sihong Xie, Fengjiao Wang, Philip S. Yu. 2018 IEEE International Conference on Big Data. BigData 2018.
Image Generation Via Minimizing Fréchet Distance in Discriminator Feature Space
Khoa D. Doan, Saurav Manchanda, Fengjiao Wang, S. Sathiya Keerthi, Avradeep Bhowmik, Chandan K. Reddy. ArXiv 2020. ArXiv 2020.
Extracting Social Events for Learning Better Information Diffusion Models
Shuyang Lin, Fengjiao Wang, Qingbo Hu, Philip S. Yu. The Nineteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. KDD 2013.
Talks
Talk 1 on Relevant Topic in Your Field
Talk at UC San Francisco, Department of Testing, San Francisco, California
Tutorial 1 on Relevant Topic in Your Field
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk 2 on Relevant Topic in Your Field
Talk at London School of Testing, London, UK
Conference Proceeding talk 3 on Relevant Topic in Your Field
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
Teaching
Service and leadership
- Currently signed in to 43 different slack teams