I am currently working on algorithms for autonomous driving at NVIDIA. Before joined NVIDIA, I was a Ph.D. candidate at WINLAB/ECE, Rutgers University, supervised by Prof. Yanyong Zhang. Also, I closely worked with Dr. Richard E. Howard during my Ph.D. study. Before coming to Rutgers University, I studied Information Engineering at Southeast University as an undergraduate student. My research interest is focused on Smart Health, Unobtrusive Sensing, Signal Processing and Machine Learning.
(11/2018) Our paper, “Hetero-Edge: Orchestration of Real-time Vision Applications on Heterogeneous Edge Clouds ", is accepted to IEEE INFOCOM 2019.
(10/2018) I finished my dissertation defense!
(10/2018) I officially joined NVIDIA as a R&D engineer working on the Autonomous Driving project.
(09/2018) Our poster, “Poster Abstract: Enabling Concurrent IoT Transmissions in Distributed C-RAN ”, is accepted to ACM SenSys 2018.
(07/2018) Our paper, “Continuous Low-Power Ammonia Monitoring Using Long Short-Term Memory Neural Networks”, is accepted to ACM SenSys 2018.
(07/2018) I received Rutgers ECE Research Development Award.
(03/2018) I will join NVIDIA and keep working on the Autonomous Driving project.
(01/2018) I received Rutgers University Merit Grad Scholars Award.
(12/2017) I received Rutgers ECE Research Excellence Award.
(12/2017) I received Rutgers Graduate School Conference Travel Award.
(12/2017) Our paper, “VVRRM: Vehicular Vibration-based Heart RR-Interval Monitoring System”, is accepted to ACM HotMobile 2018.
(09/2017) I started my deep learning internship at NVIDIA, working with brilliant people from the Autonomous Driving team in Holmdel, NJ.
(08/2017) Our paper, “Monitoring a Person's Heart Rate and Respiratory Rate During Sleep on a Shared Bed Using Geophones”, is accepted to ACM SenSys 2017.