Zhi Li    李志

Short Bio

Zhi Li is now a PhD Student in Department of Computer Science at Stony Brook University starting from 2018. He received his M.E. degree in Computer Science in Mar 2017 under the supervision of Prof. Jianhui Zhang, and B.E. degree in Computer Science in Jun 2014 both at Hangzhou Dianzi University.

Research Interest

Machine Learning, Game Theory, Algorithms, Mobile Applications

Honor & Awards

  • Outstanding Graduate Student in Zhejiang Province, 2017
  • Outstanding Graduate Student in Hangzhou Dianzi University, 2017
  • National Scholarship for Graduate Student (11/304, ranked 1st), 2016
  • Nokia Scholarship for Graduate Student (2/147), 2015
  • National Scholarship for Graduate Student (10/283, ranked 7th), 2015
  • The First Prize Academic Scholarship, Hangzhou Dianzi University (Top 10%), 2015 - 2016


Conference papers:

  1. Jianhui Zhang, Pengqian Lu, Zhi Li, Jiayu Gan. "Distributed Trip Selection Game for Public Bike System with Crowdsourcing". In the IEEE Conference on Computer Communications (INFOCOM'18). Honolulu, HI, USA. Apr 15 - 19, 2018. [pdf]
  2. Zhi Li, Jianhui Zhang, Jiayu Gan, Pengqian Lu, Fei Lin. "Large-Scale Trip Planning for Bike-Sharing Systems". In 14th IEEE International Conference on Mobile Adhoc and Sensor Systems (MASS’17), Orlando, FL, USA. Oct 22 - 25, 2017. [pdf]
  3. Jianhui Zhang, Zhi Li, Xiaojun Lin, Feilong Jiang. "Composite Task Selection with Heterogeneous Crowdsourcing". In 14th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON’17), San Diego, CA, USA. Jun 12 - 14, 2017. [pdf]
  4. Jianhui Zhang, Mengmeng Wang, Zhi Li. "Stochastic Duty Cycling for Heterogenous Energy Harvesting Networks". In the 34th IEEE International Performance Computing and Communications Conference (IPCCC’15), Nanjing, China. Dec 14 - 16, 2015. [pdf] [ slides]

Journal papers:

  1. Jianhui Zhang, Siwen Zheng, Tianhao Zhang, Mengmeng Wang, Zhi Li. "Charge-aware Duty Cycling Methods for Wireless Systems under Energy Harvesting Heterogeneity". ACM Transactions on Sensor Networks, 2019. Accepted, to appear.
  2. Zhi Li, Jianhui Zhang, Jiayu Gan, Pengqian Lu, Zhigang Gao, Wanzeng Kong. "Large-Scale Trip Planning for Bike-Sharing Systems". Pervasive and Mobile Computing, 54: 16 - 28, 2019. DOI:10.1016/j.pmcj.2019.01.007. [IF: 2.974] [pdf]
  3. Wei Li, Jianhui Zhang, Feilong Jiang, Zhi Li, Chong Xu. "Asynchronous Neighbor Discovery with Unreliable Link in Wireless Mobile Networks". Peer-to-Peer Networking and Applications, 2018, DOI:10.1007/s12083-018-0672-y. [IF: 1.514] [pdf]
  4. Zhi Li, Jianhui Zhang, Xingfa Shen, Jin Fan. "Prediction Based Indoor Fire Escaping Routing with Wireless Sensor Network". Peer-to-Peer Networking and Applications, 10(3): 697 - 707, 2017. [IF: 1.0] [pdf]
  5. Jianhui Zhang, Zhi Li, Shaojie Tang. "Value of Information Aware Opportunistic Duty Cycling in Solar Harvesting Sensor Networks". IEEE Transactions on Industrial Informatics (TII), 12(1): 348 - 360, 2016. [IF: 4.708] [ pdf]
  6. Jianhui Zhang, Zhi Li, Feng Xia, Shaojie Tang, Xingfa Shen, Bei Zhao. "Cooperative Scheduling for Adaptive Duty Cycling in Asynchronous Sensor Networks". The Computer Journal, 58(6): 1267 - 1279, 2014. [IF: 0.787] [pdf]

Research Projects

  • Crowdsourcing Based Bike-Sharing System, 2016 - 2018

    Bike-Sharing System (BSS) is a convenient service deployed in many big cities to alleviate the last-mile problem. The explosion of users in BSS causes imbalance of resources in the system and inconvenience of bike utilization for user. Now, it is quite often that some users are not able to borrow or return bikes from or to stations because of the serious imbalance of resources in BSS.

    To tackle the problem, we built a mobile crowdsourcing platform to collect real-time bike resources information at bike stations by crowdsourcing to provide users more accurate information of bike stations nearby. It also provides users the full bike utilization guidance, which composes of three segments: from user's start point to a start station, from the start station to a target station and from the target station to user’s terminal point.

    Related papers are published in the IEEE INFOCOM'18, IEEE SECON'17 [pdf], IEEE MASS'17 [pdf].

  • Internet of Things Based Fire Escaping System, 2014 - 2018

    Fire hazard puts health of millions at risk and results in billions of loss all around the world every year. When fire hazard occurs in a building, especially the building with complex structure, people in the building are unable to find the feasible or better escaping route without guidance so that the precious surviving time is wasted, which causes unnecessary injury or death. Therefore, a fire escaping system that provides real time fire and routing information during fire escaping can help people escape as fast and safe as possible.

    In this work, we design a fire spread prediction based fire escaping route planning approach for people. We design a smartphone based neighbor discovery method so that the crowd information could be considered in fire escaping route planning. We also build a network of TelosB nodes, Android smartphones and Arduino suite (Arduino Mega 2560, XBee and Wifi Bee).

    Related paper is published in PPNA [pdf].

Professional Activities

  • Reviewer for IEEE Transactions on Industrial Informatics
  • Reviewer for Theoretical Computer Science
  • Reviewer for Computer Networks
  • Reviewer for the International Journal of Ad Hoc and Ubiquitous Computing
  • Reviewer for The Computer Journal

Teaching Experience

  • TA for CSE 548 Analysis of Algorithms, Sep 2019 - Dec 2019
  • TA for CSE 216 Programming Abstractions, Feb 2019 - May 2019
  • TA for CSE 214 Data Structures, Sep 2018 - Dec 2018
  • TA for Java Programming, Sep 2015 - May 2016