CV/Bio

Download my latest Curriculum Vitae

Education

• Ph.D. Student in Information Science, School of Computing and Information Science, Cornell University, Advisor: Professor Cheng Zhang, Jun. 2021 - Aug. 2026 (Expected)
• B.S. in Information Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University (SJTU), Sept. 2016 - Jul. 2020
  • Overall GPA: 91.41/100 (Rank 3/158)
  • Major GPA: 91.16/100 (Rank 5/158)
  • Relevant Courses: Calculus (89), Linear Algebra (90), Thinking and Approach of Programming (93), Discrete Mathematics (96), Probability and Statistics (96), Data Structure (93), ARM Embedded Systems and its Experiments (96), Computer Network (90), Principles and Experiments of Communications (99), Digital Signal Processing (AI) (92), Fundamentals of Communication Circuits (99), Machine Learning (AI) (93), Intelligent Internet of Things (96)
• Summer Intern in Electrical and Computer Engineering, Carnegie Mellon University (CMU), Supervisor: Professor Swarun Kumar, Jul. 2019 - Sept. 2019
  • Proposed TagAttack, a system that builds the first near-field MIMO technique which can largely extend the NFC communication and designed a bunch of MIMO coils which consist of printed circuit copper and capacitors.
  • Submitted a paper based on the NFC project to the journal IPSN 2021.
  • Click here to see a poster summarizing my work at CMU.
• Senior High School at Jiangsu Suzhou Experimental Middle School, Sept. 2013 - Jun. 2016.
  • Ranked Second of Senior High School in National College Entrance Examination
  • Granted Merit Student Award of Jiangsu Province

Publications

QLEC: A Machine-Learning-Based Energy-Efficient Clustering Algorithm to Prolong Network Lifespan for IoT in High-Dimensional Space

Ke Li, Haowei Huang, Xiaofeng Gao, Fan Wu, and Guihai Chen. 2019. QLEC: A Machine-Learning-Based Energy-Efficient Clustering Algorithm to Prolong Network Lifespan for IoT in High-Dimensional Space. In Proceedings of the 48th International Conference on Parallel Processing (ICPP). Association for Computing Machinery, New York, NY, USA, Article 105, 1–10.

A Constant Factor Approximation for d-Hop Connected Dominating Set in 3-Dimensional Wireless Network

K. Li, X. Gao, F. Wu and G. Chen, "A Constant Factor Approximation for d -Hop Connected Dominating Set in Three-Dimensional Wireless Networks," in IEEE Transactions on Wireless Communications, vol. 18, no. 9, pp. 4357-4367, Sept. 2019.

Locating Everyday Objects using NFC Textiles

Jingxian Wang (Co-Primary), Junbo Zhang (Co-Primary), Ke Li, Chengfeng Pan, Carmel Majidi, and Swarun Kumar. 2021. Locating Everyday Objects using NFC Textiles. In Proceedings of the 20th International Conference on Information Processing in Sensor Networks (co-located with CPS-IoT Week 2021) (IPSN). Association for Computing Machinery, New York, NY, USA, 15–30.

EarIO: A Low-power Acoustic Sensing Earable for Continuously Tracking Detailed Facial Movements

Ke Li, Ruidong Zhang, Bo Liang, François Guimbretière, and Cheng Zhang. 2022. EarIO: A Low-power Acoustic Sensing Earable for Continuously Tracking Detailed Facial Movements. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6, 2, Article 62 (July 2022), 24 pages.

EchoSpeech: Continuous Silent Speech Recognition on Minimally-obtrusive Eyewear Powered by Acoustic Sensing

Ruidong Zhang, Ke Li, Yihong Hao, Yufan Wang, Zhengnan Lai, François Guimbretière, and Cheng Zhang. 2023. EchoSpeech: Continuous Silent Speech Recognition on Minimally-obtrusive Eyewear Powered by Acoustic Sensing. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI). Association for Computing Machinery, New York, NY, USA, Article 852, 1–18.

PoseSonic: 3D Upper Body Pose Estimation Through Egocentric Acoustic Sensing on Smartglasses

Saif Mahmud, Ke Li, Guilin Hu, Hao Chen, Richard Jin, Ruidong Zhang, François Guimbretière, and Cheng Zhang. 2023. PoseSonic: 3D Upper Body Pose Estimation Through Egocentric Acoustic Sensing on Smartglasses. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7, 3, Article 111 (September 2023), 28 pages.

EchoNose: Sensing Mouth, Breathing and Tongue Gestures inside Oral Cavity using a Non-contact Nose Interface

Rujia Sun, Xiaohe Zhou, Benjamin Steeper, Ruidong Zhang, Sicheng Yin, Ke Li, Shengzhang Wu, Sam Tilsen, Francois Guimbretiere, and Cheng Zhang. 2023. EchoNose: Sensing Mouth, Breathing and Tongue Gestures inside Oral Cavity using a Non-contact Nose Interface. In Proceedings of the 2023 ACM International Symposium on Wearable Computers (ISWC). Association for Computing Machinery, New York, NY, USA, 22–26.

HPSpeech: Silent Speech Interface for Commodity Headphones

Ruidong Zhang, Hao Chen, Devansh Agarwal, Richard Jin, Ke Li, François Guimbretière, and Cheng Zhang. 2023. HPSpeech: Silent Speech Interface for Commodity Headphones. In Proceedings of the 2023 ACM International Symposium on Wearable Computers (ISWC). Association for Computing Machinery, New York, NY, USA, 60–65.

EchoWrist: Continuous Hand Pose Tracking and Hand-Object Interaction Recognition Using Low-Power Active Acoustic Sensing On a Wristband

Chi-Jung Lee (Co-Primary), Ruidong Zhang (Co-Primary), Devansh Agarwal, Tianhong Catherine Yu, Vipin Gunda, Oliver Lopez, James Kim, Sicheng Yin, Boao Dong, Ke Li, Mose Sakashita, Francois Guimbretiere, and Cheng Zhang. 2024. EchoWrist: Continuous Hand Pose Tracking and Hand-Object Interaction Recognition Using Low-Power Active Acoustic Sensing On a Wristband. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (CHI). Association for Computing Machinery, New York, NY, USA, Article 403, 1–21.

EyeEcho: Continuous and Low-power Facial Expression Tracking on Glasses

Ke Li, Ruidong Zhang, Siyuan Chen, Boao Chen, Mose Sakashita, Francois Guimbretiere, and Cheng Zhang. 2024. EyeEcho: Continuous and Low-power Facial Expression Tracking on Glasses. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (CHI). Association for Computing Machinery, New York, NY, USA, Article 319, 1–24.

GazeTrak: Exploring Acoustic-based Eye Tracking on a Glass Frame

Ke Li, Ruidong Zhang, Boao Chen, Siyuan Chen, Sicheng Yin, Saif Mahmud, Qikang Liang, Francois Guimbretiere, and Cheng Zhang. 2024. GazeTrak: Exploring Acoustic-based Eye Tracking on a Glass Frame. In Proceedings of the 30th Annual International Conference on Mobile Computing and Networking (ACM MobiCom). Association for Computing Machinery, New York, NY, USA, 497–512.

AI-Powered Eyewear for Routine Facial Expression Analysis in Parkinson’s Disease: Study Design and Goals

H Y. Ooi, C. Zhang, K. Li, J. Narins, H. Sarva. AI-Powered Eyewear for Routine Facial Expression Analysis in Parkinson’s Disease: Study design and goals. Mov Disord. 2024; 39 (suppl 1).

EchoGuide: Active Acoustic Guidance for LLM-Based Eating Event Analysis from Egocentric Videos

Vineet Parikh, Saif Mahmud, Devansh Agarwal, Ke Li, François Guimbretière, and Cheng Zhang. 2024. EchoGuide: Active Acoustic Guidance for LLM-Based Eating Event Analysis from Egocentric Videos. In Proceedings of the 2024 ACM International Symposium on Wearable Computers (ISWC). Association for Computing Machinery, New York, NY, USA, 40–47.

Ring-a-Pose: A Ring for Continuous Hand Pose Tracking

Tianhong Catherine Yu, Guilin Hu, Ruidong Zhang, Hyunchul Lim, Saif Mahmud, Chi-Jung Lee, Ke Li, Devansh Agarwal, Shuyang Nie, Jinseok Oh, François Guimbretière, and Cheng Zhang. 2024. Ring-a-Pose: A Ring for Continuous Hand Pose Tracking. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8, 4, Article 189 (November 2024), 30 pages.

ActSonic: Recognizing Everyday Activities from Inaudible Acoustic Waves Around the Body

Saif Mahmud, Vineet Parikh, Qikang Liang, Ke Li, Ruidong Zhang, Ashwin Ajit, Vipin Gunda, Devansh Agarwal, François Guimbretière, and Cheng Zhang. 2024. ActSonic: Recognizing Everyday Activities from Inaudible Acoustic Waves Around the Body. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8, 4, Article 183 (November 2024), 32 pages.

SonicID: User Identification on Smart Glasses with Acoustic Sensing

Ke Li, Devansh Agarwal, Ruidong Zhang, Vipin Gunda, Tianjun Mo, Saif Mahmud, Boao Chen, François Guimbretière, and Cheng Zhang. 2024. SonicID: User Identification on Smart Glasses with Acoustic Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8, 4, Article 169 (November 2024), 27 pages.

Research & Contests

• Design and Implementation of Broadcast Mechanism in Large-Scale Internet of Things, Undergraduate Thesis at SJTU, Supervisor: Prof. Xiaohua Tian, Sept. 2019 – Jun. 2020
  • Designed and implemented the first parallel downlink scheme for backscatter communication.
  • Proposed the parallel communication and control system under the broadcast mechanism in large-scale Internet of Things.
  • Verified the feasibility of my design on Keysight ADS, a simulation software, and on a PCB-based prototype.
  • Click here to see my undergraduate thesis (in Chinese with two English abstracts).
• A Fast Approximation for SVC-Based Adaptive Streaming Network in D2D Communications, Research Assistant at Shanghai Key Laboratory of Scalable Computing and Systems, SJTU, Supervisor: Prof. Xiaofeng Gao, Apr. 2018 - Jun. 2019
  • Designed an efficient service scheme transmitting Scalable Video Coding-based Adaptive Streaming (SVC-AS) in D2D communications; Proposed a fast D2D Multimedia Transmission Scheme based on the Minimum-Degree Spanning Tree (MDST) algorithm with an acceptable running time.
  • Evaluated the performance and efficiency of the scheme using a real-world dataset based on NS2, where it outperformed the baseline scheme FlashLinQ in all areas.
• Crowdsourcing Task Assignment Strategy and Optimization Based on Social Network, The 18th Innovation and Practice Plan for Undergraduates of SJTU, Supervisor: Prof. Xiaofeng Gao, Nov. 2018 - Dec. 2019
  • Optimized the task assignment scheme in spatial crowdsourcing and proposed efficient truth inference algorithms.
  • Measured the fairness of the whole system using Jain’s Fairness Index after a preliminary experiment.
  • Processed the data and conducted experiments on online crowdsourcing platforms.
• DREAM: An Ecological Game to Grow and Migrate Three Dragons, American Mathematical Contest in Modeling, Meritorious Winner (Top 6%), Team leader, Jan. 2019.
  • Devised Dragon-Raising Ecology and Annual Migration (DREAM) model to describe the biological features of dragons, and calculate energy expenditures and ecological requirements for raising three dragons.
  • In Dragon-Raising Ecology model, Logistic Model, Fourier Law of Heat Conduction, Maxwell’s Velocity Distribution Law, and other well-proved theories were employed to construct the foundations of our model. Meanwhile, Markov Chain was hired to calculate the probability of dragons in resting, flying, fighting, and death state. Combining Dragon-Raising Ecology model with analogy method and modest estimation, we obtained energy expenditures of weight growth, basic metabolism, temperature maintaining and evaporation energy dissipation.
  • Applied Thin Airfoil Theory to calculating energy of flying energy dissipation in Annual Migration model. Adopting the integrity of our DREAM model, we further calculated total energy expenditures, caloric intake as well as the size of area and community required to support dragons.
  • Click here to see our MCM paper.
• Modeling Trends of Global Languages and Location Options for New Offices, American Mathematical Contest in Modeling, Meritorious Winner (Top 10%), Team leader, Feb. 2018.
  • Designed a Speaker Prediction Model that used study time of a language in a country to predict the distribution and numbers of various language speakers over time in different countries, based on the 10,000-Hour Rule.
  • Proposed a Location Selection Model to provide location options for new offices using the Analytic Hierarchy Process and optimized the options with the Genetic Algorithm.
  • Click here to see our MCM paper.
• Development of Immersion Stereometric Manipulation Replacement Robot, The 32nd Participation in Research Program of SJTU, Apr. 2017 - Oct.2017
  • Designed binocular stereo glasses to observe the remote scene; Controlled the robot with a handle and gloves.
  • Received an A grade as the team leader and best performer in the project.
  • Click here to see our final report (in Chinese).

Technical skills

• Programming Language
  • C / C++, Python, Java
• Platforms and Tools
  • MATLAB, NS2, LaTeX, LabVIEW

English proficiency

• TOEFL: 108
  • Reading 30, Listening 26, Speaking 23, Writing 29
• GRE: 321
  • V152 Q169+AW4