Liyao Xiang

About Me

I am an assistant professor at John Hopcroft Center for Computer Science of Shanghai Jiao Tong University since September 2018. I am also a faculty member of Intelligent Internet of Things (IIOT) Research Center. I obtained my Ph.D. and master's degrees in Department of Electrical and Computer Engineering at University of Toronto, respectively in 2018 and 2015. My advisor is Prof. Baochun Li. I received the B.S. degree from the Department of Electronic Engineering at Shanghai Jiao Tong University in 2012.

In my graduate studies, I focused on designing an indoor localization system based on crowd intelligence as well as privacy-preserving deep learning. My current research interests cover the intersected areas of security, privacy, machine learning, and mobile computing. Topics include adversarial learning, privacy analysis in data mining, mobile systems and applications, mobile cloud computing. Particularly, I am interested in identifying fundamental security and privacy threats in machine learning systems, and designing practical countermeasures.

Prospective Students

I am always looking for self-motivated students who are interested in pursuing a master's or Ph.D. degrees in the broad areas of machine learning, security, privacy, and mobile computing. Please send me an email if you are interested.

Students

Ph.D. Students: Jungang Yang, Haohua Duan, Shiming Wang

Master Students: Shuang Zhang, Weiting Li

Undergraduate Alumni: Lingdong Wang, Shufan Wang

Teaching

Spring 2019, 2020: EE226 Big Data Mining

Fall 2019: CS149 Data Structure and Algorithms

Journal Articles

Liyao Xiang*; Tzu-Yin Tai; Baochun Li; Bo Li; ‘‘Tack: Learning Towards Contextual and Ephemeral Indoor Localization With Crowdsourcing," in IEEE Journal on Selected Areas in Communications (JSAC), Special Issue on Human-In-The-Loop Mobile Networks, vol. 35, no. 4, pp. 863-879, April 2017. Slides.

Conference and Workshop Proceedings

Weiting Li; Liyao Xiang*; Zhou Zhou; Feng Peng; Privacy Budgeting for Growing Machine Learning Datasets, in Proc. IEEE International Conference on Computer Communications (INFOCOM), Virtual, May 10-13, 2021. (CCF-A)

Liyao Xiang*; Lingdong Wang; Shufan Wang; Baochun Li; ‘‘Achieving Consensus in Privacy-Preserving Decentralized Learning," in Proc. IEEE International Conference on Distributed Computing Systems (ICDCS), Singapore, July 8 - 10, 2020.

Lingdong Wang; Liyao Xiang*; Jiayu Xu; Jiaju Chen; Xing Zhao; Dixi Yao; Xinbing Wang; Baochun Li; ‘‘Context-Aware Deep Model Compression for Edge Cloud Computing," in Proc. IEEE International Conference on Distributed Computing Systems (ICDCS), Singapore, July 8 - 10, 2020.

Liyao Xiang; Hao Zhang; Haotian Ma; Yifan Zhang; Jie Ren; Quanshi Zhang*; ‘‘Interpretable Complex-Valued Neural Networks for Privacy Protection," in Proc. International Conference on Learning Representations (ICLR), Addis Ababa, Ethiopia, April 26-30, 2020.

Liyao Xiang*; Jingbo Yang; Baochun Li; ‘‘Differentially-Private Deep Learning from an Optimization Perspective, in Proc. IEEE International Conference on Computer Communications (INFOCOM), Paris, France, April 29-May 2, 2019. Slides (CCF-A)

Liyao Xiang*; Baochun Li; Bo Li; ‘‘Privacy-Preserving Inference in Crowdsourcing Systems," in Proc. IEEE Conference on Communications and Network Security (IEEE CNS), Las Vegas, NV, October 9-11, 2017. Slides.

Liyao Xiang*; Baochun Li; Bo Li; ‘‘Coalition Formation towards Energy-Efficient Collaborative Mobile Computing," in Proc. International Conference on Computer Communications and Networks (ICCCN 2015), Las Vegas, NV, August 3-6, 2015. Slides.

Liyao Xiang*; Shiwen Ye; Yuan Feng; Baochun Li; Bo Li; ‘‘Ready, Set, Go: Coalesced Offloading from Mobile Devices to the Cloud," in Proc. IEEE International Conference on Computer Communications (INFOCOM 2014). Acceptance ratio: 19%. Slides.

Liyao Xiang*; Gaofei Sun; Jing Liu; Xinbing Wang; Li Li; ‘‘A Discriminatory Pricing Double Auction for Spectrum Allocation," in Proc. IEEE Wireless Communications and Networking Conference (WCNC 2012).

Grants

国家自然科学基金委青年基金项目，61902245，移动端深度学习系统中的隐私保护研究，2020.01-2022.12，主持

CCF-蚂蚁科研基金项目，CCF-AFSGRF20200007，多方数据共享场景下的隐私保护机制研究，2020.11.1-2021.10.31，25万元，主持

上海市科委扬帆计划项目，19YF1424500，深度学习应用中的个人数据隐私保护研究，2019.05-2022.04，主持

Professional Services

TPC for poster/demo session of INFOCOM 2019, IEEE MASS 2019, IEEE GLOBECOM 2019, IEEE CIC ICCC 2019.

Reviewer for Journal Manuscript Submissions: IEEE Transactions on Mobile Computing, IEEE Transactions on Services Computing, Multimedia Systems Springer Journals

Reviewer for Conference Manuscript Submissions: ACM CoNEXT, ACM SIGMETRICS, ACM MobiCom, ACM Multimedia, ACM MMSys, ACM NOSSDAV, IEEE ICNP, IEEE ICDCS, IEEE IWQoS, IEEE SECON, IEEE MASS, IEEE GLOBECOM, IEEE ICC, IEEE IC2E, IEEE NetCod, IEEE CNS.