Shenggong Ji, Ph.D., Computer Science

Email: shenggongji@163.com

Google Scholar

Dr. Shenggong Ji is currently a Senior Researcher in Tencent. He got his Ph.D. degree in Computer Science from Southwest Jiaotong University, supervised by Prof. Tianrui Li and Yu Zheng. His main research interests include intelligent urban resource optimization, influence maximization on social networks, spatio-temporal data mining, deep reinforcement learning, etc. He has published more than 10 papers on top journals (e.g. PNAS, IEEE TKDE, ACM IMWUT) and top conferences (e.g. WWW, UbiComp). He was a visiting Ph.D. student in Nanyang Technological University and was a research intern in Microsoft Research Asia and JD.

Work and Intern Experiences

• Senior Researcher, Interative Entertainment Group, Tencent Inc., Jul 2020 - Present

• Research Intern, JD Intelligent Cities Research Lab, JD Group Inc., Jan 2018 - May 2019

• Research Intern, Urban Computing Group, Microsoft Research Asia, Aug 2016 - Dec 2017

• Research Intern, Urban Computing Group, Microsoft Research Asia, Jan 2015 - Aug 2015

Education Background

• Ph.D., Southwest Jiaotong University, Sep 2015 – Jun 2020

  • Computer Science, School of Information Science and Technology

  • Advisors: Dr. Tianrui Li and Dr. Yu Zheng

• Visiting Ph.D. Student, Nanyang Technological University, Singapore, Oct 2019 - March 2020

  • Computer Science, School of Computer Science and Engineering

  • Advisor: Dr. Bo AN

• B.S., Southwest Jiaotong University, Sep 2011 – Jun 2015

  • Information and Computing Science, School of Mathematics

News

• 2020.12: One paper on participant recruitment in mobile crowd sensing is accepted by Chinese Journal of Computers (in Chinese).

• 2020.12: Receive Excellent Doctoral Dissertation Award of Southwest Jiaotong University.

• 2020.09: Receive Excellent Doctoral Dissertation Award of ACM Chengdu.

• 2020.07: Join Tencent as a Senior Researcher.

• 2020.06: Get Ph.D. degree in Computer Science from Southwest Jiaotong University.

• 2019.10: Visit Nanyang Technological University, Singapore; work with Dr. Bo AN.

• 2019.04: One paper on data-driven dynamic ambulance redeployment is accepted by TKDE.

• 2019.01: One paper on take-out food delivery task grouping is accepted by WWW 2019.

• 2019.01: One paper on DRL-based dynamic ambulance redeployment is accepted by IMWUT/UbiComp 2019.

• 2018.05: One paper on finding the most influential spreaders in social networks is accepted by PNAS.

Publications

• Shenggong Ji, Yu Zheng, Zhaoyuan Wang, Tianrui Li. Look-ahead search- and voting-based dynamic participant recruitment in mobile crowd sensing (in Chinese: 基于前向搜索和投票的移动群智感知动态用户招募方法). Chinese Journal of Computers (计算机学报), 2020.

• Shenggong Ji, Zhaoyuan Wang, Tianrui Li, Yu Zheng. Spatio-temporal feature fusion for dynamic taxi route recommendation via deep reinforcement learning. Knowledge-Based Systems (KBS), 2020. PDF

• Shenggong Ji, Yu Zheng, Zhaoyuan Wang, Tianrui Li. Alleviating Users’ Pain of Waiting: Effective Task Grouping for Online-to-Offline Food Delivery Services. In Proceedings of the 2019 World Wide Web Conference (WWW 2019), 2019. PDF PPT

• Shenggong Ji, Yu Zheng, Zhaoyuan Wang, Tianrui Li. A Deep Reinforcement Learning-Enabled Dynamic Redeployment System for Mobile Ambulances. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp 2019), 2019. PDF CODE PPT

• Shenggong Ji, Yu Zheng, Wenjun Wang, Tianrui Li. Real-Time Ambulance Redeployment: A Data-Driven Approach. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019. PDF

• Shenggong Ji, Yu Zheng, Tianrui Li. Urban Sensing Based on Human Mobility. In Proceedings of the 18th ACM International Conference on Ubiquitous Computing (UbiComp 2016), 2016. PDF PPT

• Shenggong Ji, Linyuan Lü, Chi Ho Yeung,Yanqing Hu. Effective spreading from multiple leaders identified by percolation in the susceptible-infected-recovered (SIR) model. New Journal of Physics (NJP), 2017. PDF

• Yanqing Hu, Shenggong Ji, Yuliang Jin, Ling Feng, H. Eugene Stanley, Shlomo Havlin. Local structure can identify and quantify influential global spreaders in large scale social networks. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2018. (Equal Contribution). Main Supp

• Yuhong Li, Yu Zheng, Shenggong Ji, Wenjun Wang, Leong Hou U, Zhiguo Gong. Location selection for ambulance stations: a data-driven approach. Proceedings of the 23rd ACM International Conference on Advances in Geographical Information Systems (GIS 2015), 2015. PDF

• Chong Wu, Shenggong Ji, Rui Zhang, Liujun Chen, Jiawei Chen, Xiaobin Li and Yanqing Hu. Multiple Hybrid Phase Transition: Bootstrap Percolation on Complex Networks with Communities. Europhysics Letters (EPL), 2014. PDF

• Zhaoyuan Wang, Junbo Zhang, Shenggong Ji, Chuishi Meng, Tianrui Li, Yu Zheng. Predicting and ranking box office revenue of movies based on big data. Information Fusion. 2020.

• Zhaoyuan Wang, Chuishi Meng, Shenggong Ji, Tianrui Li, Yu Zheng. Food package suggestion system based on multi-objective optimization: A case study on a real-world restaurant. Applied Soft Computing. 2020.

Reviewers

• ACM Transactions on Knowledge Discovery from Data (TKDD)

• IEEE Transactions on Mobile Computing (TMC)

• ACM Transactions on Intelligent Systems and Technology (TIST)

• IEEE Transactions on Big Data (TBD)

• Online Social Networks and Media (OSNEM)

• Annals of Operations Research (ANOR)

Awards

• Excellent Doctoral Dissertation Award of Southwest Jiaotong University, 2020

• Excellent Doctoral Dissertation Award of ACM Chengdu, 2020

• Graduate Si Shi Yang Hua Medal of SWJTU (Top 1/1000), 2019

• Graduate National Scholarship, 2019

• China Scholarship Council Scholarships, 2019

• SCF Best Student Paper, 2017

• Graduate National Scholarship, 2017

• Undergraduate Si Shi Yang Hua Medal of SWJTU (Top 1/1000), 2015

• Excellent University Graduates in Sichuan Province, 2015

• First Prize in Mathematics Competition of Chinese College Students (Preliminary), 2013