ABOUT
I am an Assistant Professor in the John Hopcroft center and EECS department at Shanghai Jiao Tong University (SJTU). My research interests focus on mobile sensing, cyber-physical systems, and related topics on security and privacy.
At SJTU, I lead CyPhy (cyber-physical) team. We build practical and secure technologies for tackling real-world challenges in various domains, particularly transportation and healthcare. Some of our recent works were featured in public media (e.g., Sohu). You can also find our latest demos here.
Before joining SJTU as faculty, I obtained my Ph.D. (2020) in Computer Science and Engineering and M.S. (2015) in Electrical Engineering, all from the University of Michigan, Ann Arbor. I received my B.S. from SJTU in 2013.
I teached CS1501 (Thinking and Methodology in Programming, 程序设计思想与方法) in fall 2021. This document (in Chinese) organized principles for learning C++ for beginners.
Recent News
- Mar. 2022, Enabling Software-defined PHY for Backscatter Networks is acctected by MobiSys 2022, congrats to the team!
- Jul. 2021, I will be serving in the TPC for MobiCom 2022.
- May 2021, Our magnetic tracking paper got accepted by MobiCom 2021! Congratulations to the team!
- Jan. 2021, One paper on authenticating drivers using batteries is accepted by ACM UbiComp.
- Sept. 2020, I will serve as a publicity chair of MobiHoc 2021. The CFP will be out soon. Stay tuned!
- Dec. 2019, I defended my Ph.D. thesis!
Thesis Works at a Glance
I recently obtained my Ph.D., worked closely with Prof. Kang G. Shin of the Real-Time Computing Lab (RTCL). Much of my thesis work focuses on empowering the next-generation transportation ecosystem that is comprised of vehicles, environment, and humans. The synergy of my thesis works is illustrated in the corresponding figure. My research investigated ubiquitous sensing, vehicular system, and wireless communication. These three elements are cornerstones for tackling real-world challenges on our roads.

CyPhy Research Team
At CyPhy, we build new technologies for addressing real-world problems. Exemplary usage scenarios fall in smart transportation and at-home healthcare. I am fortunate to work with the following talents. Their motivation and curiosity to explore the unknown are the eternal driving forces of our team.
Graduate Students and Mentees
Alumni





Publications
MagX: Wearable, Untethered Hands Tracking with Passive Magnets
MobiCom 2021We proposed MagX, the first untethered and mobile magnetic tracking platform for fine-grained hand tracking. Exemplary applications includes AR/VR interaction and face-touching detection.
Paper| Code| Slides| Website
Authenticating Drivers Using Automotive Batteries
UbiComp 2021This work presented B-Auth, a vehicle battery-based driver authentication platform. We discovered the connection between battery voltage with the driver's behavior, e.g., braking, acceleration, using wipers, etc.
Paper
LibreCAN: Automated CAN Message Translator
CCS 2019LibreCAN can be used for automated translation of in-vehicle data, thus making the data flow in cars "transparent" to developers. In the future, we may be able to build apps on cars as easy as developing apps on smartphones!
Paper | Website
TurnsMap: Enhancing Traffic Safety with Crowdsensing and Deep Learning
UbiComp 2019This work presents TurnsMap, an IoT + AI framework for automatically detecting if a left turn is safe, e.g., whether it has protection for left-turning cars. Democratizing this information can help assure traffic safety for various transportation applications, e.g., navigation and ride-sharing apps.
Paper | Website | Slides
Mobile IMUs Reveal Driver's Identity from Vehicle Turns
ArXiv Preprint, 2017This work presents Dri-Fi, a solution that enables automotive apps to identify the person behind-the-wheel by only using mobile sensors. The capability of identifying driver is essential for personalized service/assistance for the driver and his/her designated parties, thus can benefit various automotive apps
Paper
Locating and Tracking BLE Beacons with Smartphones
CoNEXT, 2017LocBLE is able to locate specific location of any surrounding Bluetooth low energy (BLE) beacons by justing using your smartphone. Comparing to existing coarse-grained BLE ranging applications, LocBLE is capable of enabling various use cases in Internet-of-Things. This is a collaborative work with Hewlett Packard Labs during my internship.
Paper | Demo | Slides
Invisible Sensing of Vehicle Steering with Smartphones
MobiSys, 2015This work introduced a vehicle steering detection middleware called V-Sense which can run on commodity smartphones without additional sensors or infrastructure support.
Paper | Demo | Slides
Vulnerability and Protection of Channel State Information in Multiuser MIMO Networks
CCS, 2014This work investigated vulnerability in MU-MIMO. Focus on plaintext feedback of estimated channel state information (CSI) from clients to the APs. We have found a malicious user could use sniff attack power attack by utilizing the vulnerability in existing CSI feed scheme.
Paper