Jiaxin Ding

Jiaxin Ding

Tenure-Track Associate Professor

Shanghai Jiao Tong University

Biography

Perspective Students

  • I am always looking for self-motivated students who are interested in pursuing master’s or Ph.D. degrees in the areas of data mining, privacy, algorithm design, reinforcement learning, and Internet of Things. Please feel free to send me an email if you are interested.

Group Members

  • Ph.D.: Fan Xu, Shiqing Gao
  • Master: Shichuan Xi, Jiaqi Zhai, Bowen Zhang, Kailong Wu, Haochen Han

Interests

  • Spatio-temporal Data Mining
  • Data Privacy Protection
  • Reinforcement Learning
  • Internet of Things

Education

  • Ph.D. in Computer Science, 2012-2018

    Stony Brook University

  • B.S. in Artificial Intelligence, 2008-2012

    Peking University

  • B.A. in Economics(double major), 2009-2012

    Peking University

Publications

  • Jiaxin Ding, Shichuan Xi, Kailong Wu, Pan Liu, Xinbing Wang, Chenghu Zhou, “Analyzing Sensitive Information Leakage in Trajectory Embedding Models”, Proceedings of International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2022), 2022.
  • Jiaxin Ding, Bowen Zhang, Xinbing Wang, Chenghu Zhou, “TSNE: Trajectory Similarity Network Embedding”, Proceedings of International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2022), 2022.
  • Jiaxin Ding, Abhirup Ghosh, Rik Sarkar, Jie Gao, “Publishing Asynchronous Event Times with Pufferfish Privacy”, Proceedings of International Conference on Distributed Computing in Sensor Systems, 2022.
  • Jianzhi Tang, Luoyi Fu, Jiaxin Ding, Xinbing Wang, Guihai Chen, “Connectivity Maintenance in Uncertain Networks under Adversarial Attack”, Proceedings of IEEE International Conference on Computer Communications (INFOCOM 2022), 2022.
  • Haonan Zhang, Luoyi Fu, Jiaxin Ding, Feilong Tang, Yao Xiao, Xinbing Wang, Guihai Chen, Chenghu Zhou, “Maximizing the Spread of Effective Informationv in Social Networks”, IEEE Transactions on Knowledge and Data Engineering, 2021.
  • Yongshuai Liu, Jiaxin Ding, Zhi-Li Zhang, Xin Liu, “CLARA: A Constrained Reinforcement Learning Based Resource Allocation Framework for Network Slicing”, Proceedings of IEEE Big Data 2021.
  • Yuanjie Li, Esha Datta, Jiaxin Ding, Ness B. Shroff, Liu Xin, “Can Online Learning Increase the Reliability of Extreme Mobility Management?”, Proceedings of IEEE/ACM 29th International Symposium on Quality of Service (IWQOS 2021), 2021.
  • Haotian Wang, Abhirup Ghosh, Jiaxin Ding, Rik Sarkar, Jie Gao, “Heterogeneous interventions reduce the spread of COVID-19 in simulations on real mobility data”, Scientific Reports, 2021.
  • Abhirup Ghosh*, Jiaxin Ding*, Rik Sarkar, Jie Gao, “Differentially Private Range Counting in Planar Graphs for Spatial Sensing”, Proceedings of IEEE International Conference on Computer Communications (INFOCOM 2020), 2020.
  • Yongshuai Liu, Jiaxin Ding, Xin Liu, “IPO: Interior-point Policy Optimization under Constraints”, the 34th AAAI Conference on Artificial Intelligence (AAAI 2020), 2020.
  • Boris Aronov, Alon Efrat, Ming Li, Jie Gao, Joseph S. B. Mitchell, Valentin Polishchuk, Boyang Wang, Hanyu Quan, Jiaxin Ding, “Are Friends of My Friends Too Social? Limitations of Location Privacy in a Socially-Connected World”, Proceedings of ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2018), 2018.
  • Jiaxin Ding, Chien-chun Ni, Jie Gao, “Fighting Statistic Re-identification in Human Trajectory Publication”, Proceedings of ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2017), 2017.
  • Jiaxin Ding, Chien-chun Ni, Mengyu Zhou, Jie Gao, “MinHash Hierarchy for Privacy Preserving Trajectory Sensing and Query”, Proceedings of ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN'17), 2017.
  • Su Jia, Xin Jin, Golnaz Ghasemiesfeh, Jiaxin Ding, Jie Gao, “Competitive Analysis for Online Scheduling in Software-Defined Optical WAN”, Proceedings of IEEE International Conference on Computer Communications (INFOCOM'17), 2017.
  • Jiaxin Ding, Jie Gao, Hui Xiong, “Understanding and Modelling Information Dissemination Patterns in Vehicle-to-Vehicle Networks”, Proceedings of ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2015), 2015.
  • Xiaotian Yin , Chien-Chun Ni , Jiaxin Ding , Wei Han , Dengpan Zhou, Jie Gao, Xianfeng Gu, “Decentralized Human Trajectories Tracking Using Hodge Decomposition in Sensor Networks”, Proceedings of ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2015), 2015.

Courses

  • CS3319 Foundations of Data Science (2022 Spring, 2023 Spring)
  • CS0501 Data Sctructure (2021 Spring, 2022 Spring, 2023 Spring)
  • EE226 Big Data Mining (2021 Spring)
  • CS248 Big Data Processing (2020 Fall)

Contact

  • jiaxinding_at_sjtu.edu.cn
  • 1-203 SEIEE Building, 800 Dongchuan Road, Shanghai, 200240