Yunzhi Li

Yunzhi wearing an orange-color t-shirt standing on a bridge in dusk.


Yunzhi Li is a Ph.D. student at Carnegie Mellon University's Human-Computer Interaction Institute, advised by Prof. Patrick A. Carrington. He is also a member of the AXLE Lab. Prior to CMU, he received his M.Sc. from Georgia Institute of Technology and B.Eng. from University of Chinese Academy of Sciences. Over the years, he is fortunate to be able to work with many amazing advisors including Prof. Ashutosh Dhekne, Prof. Feng Tian, Prof. Xiangmin Fan, and Prof. Gregory D. Abowd.

Yunzhi is interested in designing and developing novel computing technologies to better assist and empower users in their everyday lives. His current research interests are Accessibility, Sensing, and Human-Computer Interaction. Please feel free to contact him if you share common research interests. He would be more than happy to collaborate.

Email: yunzhil [at]

Latest News

Mar 31 - Won the annual CoC MS Research Award!
2020 - Sept 17 - Three papers submitted to CHI 2021.
Jul 7 - OptoSense got accepted by IMWUT 2020!
2019 - Aug 19 - My journey at Georgia Tech Begins
Jul 30 - One paper got accepted by CSCW 2019!
Jul 2 - Graduated from UCAS
Jun 28 - One paper was submitted to CSCW 2019
May 24 - Thesis dissertation. Honored for excellent thesis.
May 8 - Finished my Bachelor's Thesis


  • Ph.D. in Human-Computer Interaction, Carnegie Mellon University, 2021 - Now.

  • M.Sc. in Computer Science, Georgia Institute of Technology, 2019 - 2021.

  • B.Eng. in Computer Science and Technology, University of Chinese Academy of Sciences, 2015 - 2019.

  • Exchange Student in Computer Science, Carnegie Mellon University, 2018.



    • Yunzhi Li, Tingyu Cheng, and Ashutosh Dhekne. 2022. Travelogue: Representing Indoor Trajectories as Informative Art. In CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI ’22 Extended Abstracts), April 29-May 5, 2022, New Orleans, LA, USA. ACM, New York, NY, USA, 7 pages.

    • Tingyu Cheng, Bu Li, Yang Zhang, Yunzhi Li, Charles Ramey, Eui Min Jung, Yepu Cui, Sai Ganesh Swaminathan, Youngwook Do, Manos Tentzeris, Gregory D. Abowd, and HyunJoo Oh. 2021. Duco: Autonomous Large-Scale Direct-Circuit-Writing (DCW) on Vertical Everyday Surfaces Using A Scalable Hanging Plotter. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5, 3, Article 92 (Sept 2021), 25 pages. DOI:

    • Dingtian Zhang, Jung Wook Park, Yang Zhang, Yuhui Zhao, Yiyang Wang, Yunzhi Li, Tanvi Bhagwat, Wen-Fang Chou, Xiaojia Jia, Bernard Kippelen, Canek Fuentes-Hernandez, Thad Starner, and Gregory D. Abowd. 2020. OptoSense: Towards Ubiquitous Self-Powered Ambient Light Sensing Surfaces. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4, 3, Article 103 (September 2020), 27 pages. DOI:

    • Yunzhi Li*, Wei Sun*, Feng Tian, Xiangmin Fan, and Hongan Wang. 2019. How Presenters Perceive and React to Audience Flow Prediction In-situ: An Explorative Study of Live Online Lectures. Proc. ACM Hum.-Comput. Interact. 3, CSCW, Article 162 (November 2019), 19 pages.


  • Zhang, Dingtian, Canek Fuentes-Hernandez, Raaghesh Vijayan, Yang Zhang, Yunzhi Li, Jung Wook Park, Yiyang Wang et al. "Flexible computational photodetectors for self-powered activity sensing." npj Flexible Electronics 6, no. 1 (2022): 1-8. DOI: