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As of February 2020, I got my Ph.D. from the ECE Department at the University of Texas at Austin. I am fortunate to be advised by Prof. Sriram Vishwanath. My next stop is Qualcomm, with a focus on 5G nR. I got my BS degree in 2014 from Shanghai Jiao Tong University, advised by Prof. Xinbing Wang. My research interests are on Information Theory, Coding Theory, Signal Processing, and Machine Learning including the part intersected with but not limited to Information/Coding Theory/Signal Processing. More generally, I'm interested in the extent to which things can be figured out. Email: yitaochen AT utexas DOT edu, Resume , LinkedIn |
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Publications
MIMO Full Duplex Radios with Deep Learning
Yitao Chen, Rejesh Mishra, Daniel Schwartz, and Sriram Vishwanath
IEEE International Conference on Communications Workshops (ICC Workshop - FDCFWN), 2020
Collision Detection in Dense Wi-Fi Networks using Self-Interference Cancellation
Rejesh Mishra, Yitao Chen, Ian Roberts, and Sriram Vishwanath
IEEE International Conference on Communications Workshops (ICC Workshop - FDCFWN), 2020
From Centralized to Decentralized Coded Caching
Yitao Chen, Karthikeyan Shanmugam, Alex Dimakis
On Arxiv Full version
On the Key Generation Rate of Physically Unclonable Functions
Yitao Chen, Muryong Kim and Sriram Vishwanath
On Arxiv Full version
Reconciling selfish routing with social good
Soumya Basu, Ger Yang, Thanasis Lianeas, Evdokia Nikolova, and Yitao Chen
International Symposium on Algorithmic Game Theory (SAGT), 2017. [arxiv]
Approximate Capacity of a Class of Partially Connected Interference Channels
Muryong Kim, Yitao Chen, and Sriram Vishwanath
International Symposium on Information Theory (ISIT), 2017. [arxiv]
Index-coded retransmission for OFDMA downlink
Muryong Kim, Yitao Chen, Michael Borokhovich and Sriram Vishwanath
IEEE Globecom, 2016.
Secrecy capacity scaling of large-scale cognitive networks
Yitao Chen, Jinbei Zhang, Xinbing Wang, Xiaohua Tian, Weijie Wu, Fan Wu, and Chee Wei Tan
International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2014.
Teaching Experiences
Teaching Assistant, EE381K (Information Theory), UT-Austin, Spring 2018.
Teaching Assistant, EE351K (Probability and Random Process), UT-Austin, Fall 2017.
Teaching Assistant, EE381K (Information Theory), UT-Austin, Spring 2017.