Xi (Alex) Chen, PhD

Senior Principal Scientist @ Huawei Noah's Ark Lab, Montreal

Adjunct Professor @ School of CS, McGill Univ.,

Montreal, QC, Canada


Email: xi.chen11 at mcgill dot ca

News

[2022.03] Our paper "Fidora: Robust WiFi-based Indoor Localization via Unsupervised Domain Adaptation" was accepted by Internet of Thing Journal!

[2022.01] Two papers on transfer/continual learning for 5G traffic prediction accepted by ICC 2022!

[2021.11] Our paper "One For All: Traffic Prediction At Heterogeneous 5G Edge With Data-Efficient Transfer Learning" won the best paper award of Globecom 2021 MWN Symposium!

[2021.10] Our paper "DAFI" on domain adaptive Wi-Fi localization accepted by IMWUT/UbiComp!

[2021.09] Joined Huawei Noah's Ark Lab (Montreal) as a senior principal researcher. Building my team now.

[2021.09] Our paper "Generalized Data Weighting via Class-Level Gradient Manipulation" accepted by NeurIPS 2021!

[2021.08] Four papers (on transferrable prediction, adaptive feature boosting, data-efficient RL for load balancing, adversarial weak point identification, respectively) accepted by Globecom 2021!

[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.

Short Bio

Xi Chen is currently a Senior Principle Researcher at Huawei Noah's Ark Lab, Montreal, leading a team on AI/ML applications for networks.

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 AI for communications, 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.


Publications

Conference Papers

Book & Journal Papers

Community Services

  • TPC member of INFOCOM 2022

  • TPC member of ICC 2022

  • TPC member of PerCom 2022

  • TPC member of Globecom 2021

  • 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 for net: Deep ML solutions for intelligent networks (2021-present, Huawei Noah's Ark Lab)

  2. AI-5G: Deep RL solutions for smart 5G networks (2019-2021, Samsung AI Center)

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

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

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

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

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

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

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

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

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

  12. 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!)