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 senior member of CCF, a member of IEEE and ACM.

Please find my CV here. 访问中文版主页.

Research Interests:

Internet of Things, Urban Computing, Intelligent Transportation, Mobile Computing, 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:

  • 2023.11 - Our paper “Greta: Towards A General Roadside Unit Deployment Framework” has been accepted by IEEE Transactions on Mobile Computing. Congrats to Xianjing. 🎉
  • 2023.11 - Our paper “An Optimized Lossless Graph Summarization for Large-Scale Graphs” has been accepted by IEEE ICPADS 2023. Congrats to Meiquan.
  • 2023.11 - Our paper “Towards Hierarchical Clustered Federated Learning with Model Stability on Mobile Devices” has been accepted by IEEE Transactions on Mobile Computing. Congrats to Biyao. 🎉
  • 2023.10 - Selected to be the executive member of CCF Intelligent Transportation Division. 🤪
  • 2023.10 - Selected to be the executive member of CCF TCIoT. 🤪
  • 2023.07 - Invited to serve on the TPC of IEEE ICPADS 2023. Please consider submitting.
  • 2023.06 - Selected to be CCF Senior Member! 🤪
  • 2023.04 - Selected to be the executive member of ACM SIGSpatial China. 🤪
  • 2022.09 - Selected to be the executive member of CCF TCPC.
  • 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 be 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.