Xi (Alex) Chen, PhD

Staff AI Researcher @ Samsung AI

Adjunct Professor @ School of CS, McGill Univ.,

Montreal, QC, Canada

Email: alex.chen1 at samsung dot com

or xi.chen11 at mcgill dot ca


[2021.01] A paper on HRL for 5G load balancing accepted by ICC 2021!

[2021.01] A paper on UWB for mmWave beam alignment accepted by ICC 2021!

[2021.01] Appointed as an Adjunct Professor by the School of Computer Science, McGill Univ.

[2020.12] Serving as a TPC member of ICDCS 2021 ML on or for Distributed Systems track.

[2020.09] Serving as a TPC member of ICC 2021 ML for Comm. track.

[2020.07] Our paper PresSense was accepted by IROS 2020!

[2020.06] Served as a TPC member of GlobeCom 2020 ML for Comm. track.

[2020.03] Gave an invited talk @ Centech, titled "When ML meets WiFi- Robust Device-Free Indoor Localization".

[2020.01] Our paper FiDo was accepted by WWW 2020 (19% acceptance ratio)! Thank you all to the co-authors!

Short Bio

Xi Chen is currently a Staff AI Researcher at Samsung AI Center- Montreal, working on AI for 5G and beyond, prediction, AI-IoT, smart home, and device-free localization.

He also serves as an adjunct professor at School of Computer Science, McGill University.

His experience and passion lie in a wide range of AI domains, including 5G and beyond, prediction, smart IoT, WiFi sensing, NLP, self-driving, smart homes, smart systems, vehicle-to-everything, etc.

He achieved his PhD degree at School of Computer Science, McGill University. He received both M.Eng. and B.S. degrees from Department of Electronic Engineering, Shanghai Jiao Tong University.


Conference Papers

Book & Journal Papers

Community Services

  • TPC member of ICDCS 2021, ML on or for Distributed Systems Track.

  • TPC member of ICC 2021, ML for Communication Track.

  • TPC member of GLOBECOM 2020, ML for Communication Track.

  • Publicity Chair of IWQoS 2020.

  • Local Chair of the 2019 CPS-IoT week.

Projects involved

  1. AI-5G: Deep RL solutions for smart 5G networks (2019-present, Samsung AI Center)

  2. AI-IOT: Deep ML solutions for smart IoT and indoor localization (2019-present, Samsung AI Center)

  3. NLP: Deep NLP solutions for voice control on automobiles and IoT devices (2017-2019, Nuance Communication Inc.)

  4. DSRC: Performance enhancement of vehicular communications (Dedicated Short Range Communication and mobile Wi-Fi) (2012 - 2017, McGill and General Motors);

  5. Wi-Fi on wheels: Mobile Wi-Fi APs for In-vehicle Infotainment (2013 - 2017, McGill and General Motors);

  6. Aerial: Device-free human activity recognition via wireless signals (2015 - 2017, Tandemlaunch, Aerial.ai and McGill);

  7. Electric Vehicles: Optimization of energy-efficient EVs (2014 - 2017, CPS lab, McGill);

  8. Cloud Energy: Energy/cost management for cloud computing systems in smart grid (2012 - 2015, CPS lab, McGill);

  9. Skysensor: Real-time virtual link scheduling in AFDX network (2012 - 2013, McGill and Sponsors);

  10. Limited feedback design of LTE/LTE-A system (2009-2012, SJTU and Sharp Co.);

  11. Capacity scaling in mobile Ad Hoc network (2011-2012, SJTU).

Testbeds and demos

VSmart is a DSRC-enabled smart vehicle testbed established at CPS Lab, McGill University, and is partially supported by General Motors Company. (Testbed website, YouTube videos and slides)

Aerial can tell who you are, where you are and what you are doing, even if you don't carry any wearable devices, smartphones, nor cameras. As long as there are standard Wi-Fi signals in the air, aerial is good to go. (Check our Project website and YouTube video to see the magic!)