Zhidan Liu (刘志丹) is currently an Associate Professor (tenured) in College of Computer Science and Software Engineering, Shenzhen University. He received the B.E. degree in Computer Science and Technology from Northeastern University in June 2009, and the Ph.D. degree in Computer Science and Technology from Zhejiang University in September 2014. Before joining Shenzhen University, he was a postdoctoral research fellow in the School of Computer Science and Engineering, Nanyang Technological University, Singapore, where he worked in the Wireless And Networked Distributed Sensing (WANDS) group with Prof. Mo Li. He is now heading the Big Data and Urban Computing (BDUC) research group in Shenzhen University. He is a member of IEEE, ACM, and CCF.

Please find my CV here. 访问中文版主页.

Research Interests:

Internet of Things, Urban Computing, Mobile Computing, Crowdsourcing, Big Data Analytics

Recruitment: We are looking for talented and self-motivated students with a strong background in Computer Science. Our IoT research center has opening positions for Associate Researcher and PosDoc. Please drop me an email with your resume if you are interested in our group.

Recent News:

  • 2022.09 - Our paper “Data-Driven Pick-Up Location Recommendation for Ride-Hailing Services” has been accepted by IEEE Transactions on Mobile Computing. Congrats to Hongquan and Guofeng. 🎉
  • 2022.09 - Our paper “DeepGPS: Deep Learning Enhanced GPS Positioning in Urban Canyons” has been accepted by IEEE Transactions on Mobile Computing. Congrats to Jiancong and Xiaowen. 🎉
  • 2022.09 - Our paper “Radar: Adversarial Driving Style Representation Learning with Data Augmentation” has been accepted by IEEE Transactions on Mobile Computing. Congrats to Junhong and Jinye. 🎉
  • 2022.06 - Promoted to Associate Professor with tenure! 🤪
  • 2022.05 - Invited to serve on the TPC of IEEE ICPADS 2022. Please consider submitting.
  • 2022.04 - Our paper “Adaptive Client Clustering for Efficient Federated Learning over Non-IID and Imbalanced Datac” has been accepted by IEEE Transactions on Big Data. Congrats to Biyao.
  • 2022.02 - Our paper “Adaptive Clustered Federated Learning for Heterogeneous Data in Edge Computing” has been accepted by Mobile Networks and Applications. Congrats to Biyao.
  • 2021.12 - Our paper “A Spatial Structure Matching Algorithm for Large Spatial-Textual Datasets” (in Chinese) has been accepted by Chinese Journal of Computers/计算机学报. Congrats to Weixin.
  • 2021.11 - Invited to serve on the TPC of ACM KDD 2022. Please consider submitting.
  • 2021.11 - Our paper “Data-Driven Targeted Advertising Recommendation System for Outdoor Billboard” has been accepted by ACM TIST.
  • 2021.09 - We are organizing a special session SS2: Cooperative and Integrated Mobility Solutions in Transportation and Logistics at IEEE CSCWD 2022. Please consider submitting.
  • 2021.08 - Invited to serve on the TPC of ACM WSDM 2022. Please consider submitting.
  • 2021.08 - Our paper “mT-Share: A Mobility-Aware Dynamic Taxi Ridesharing System” has been accepted by IEEE IOTJ. Congrats to Zengyang and Jiangzhou.
  • 2021.06 - Invited to serve as Local Chair of EAI ICECI 2021. Please consider submitting.
  • 2021.05 - Our book “Mobility Data-Driven Urban Traffic Monitoring” is published online now.
  • 2021.03 - Invited to serve on the TPC of IEEE MASS 2021. Please consider submitting.
  • 2021.03 - Invited to serve on the TPC of IEEE ICDCS 2021 (Demo/Poster track). Please consider submitting.
  • 2021.01 - Our paper “Exploiting Multi-Source Data for Adversarial Driving Style Representation Learning” has been accepted by DASFAA. Congrats to Junhong and Zengyang.