Kechen Liu
Email: kl3469@columbia.edu
I am a senior undergraduate student at Columbia University majoring in Computer Science, with a strong foundation in wireless sensing, mobile computing, and computer networks. My research interests intersect wireless security, IoT, and HCI, with an emerging focus on integrating deep learning models with mobile and resource-constrained devices.
Through research internships and collaborative projects, I have developed expertise in applying computational methods to real-world challenges, from biometric authentication to mobile microrobotics.
At Columbia, I was fortunate enough to work with Prof. Xia Zhou, Prof. Gil Zussman, and Prof. Eugene Wu.
I am applying for Ph.D. programs starting Fall 2025, exploring the area of mobile systems and wireless communication.
Selected Projects
Simulated In-the-Wild Dataset for NIR Palm Vein Recognition
At Mobile X Lab under Prof. Xia Zhou, I developed data collection protocols for 100 participants, designed quality metrics for NIR palm vein images, and benchmarked models like ResNet18 and ViT-B/16. I introduced metrics such as Friction Rate to evaluate robustness and privacy and analyzed demographic biases.
Phaser: Laser Power Delivery for Mobile Microrobots
At Mobile X Lab with Prof. Xia Zhou, I developed a wireless laser power delivery system using a MEMS mirror and event camera, achieving 91% optical throughput and enhancing microrobot mobility.
Development of a 140 GHz Channel Sounder for ISAC
At Wimnet Lab with Prof. Gil Zussman, I integrated a 140 GHz sounder with LiDAR and camera systems, optimized data filtering, and conducted urban measurement campaigns in NYC. This work demonstrated applications for smart city traffic monitoring and is being prepared for publication.
Earable Camera System for Pedestrian Safety
At LION Lab under Prof. Hongzi Zhu, I developed 3D object detection and depth estimation algorithms for mobile devices, reducing alert inaccuracies significantly with low latency and power consumption.
Xiaofeng Yan, Kechen Liu, Abhilash Venkatesh, Cathy Zhang, Salvatore J. Stolfo, and Xia Zhou. Simulated In-the-Wild: A Labeled Dataset for Near-Infrared Palm Vein Recognition in Challenging Conditions. Under submission to CVPR 2025.
Charles J. Carver, Hadleigh Schwartz, Toma Itagaki, Zachary Englhardt, Kechen Liu, Megan Graciela Nauli Manik, Chun-Cheng Chang, Vikram Iyer, Brian Plancher, and Xia Zhou. Set Phasers to Stun: Beaming Power and Control to Mobile Microrobots with Laser Light. Under submission to IEEE Transactions on Robotics (T-RO).
Charles J. Carver, Toma Itagaki, Kechen Liu, Megan G. N. Manik, Zachary Englhardt, Vikram Iyer, and Xia Zhou. Demonstration of Laser Power Delivery for Mobile Microrobots. Presented at DroNet @ MobiSys 2024.
Haonan Wang, Eugene Wu, Kechen Liu, and Jiaxiang Liu. DynoClass: A Dynamic Table-Class Detection System Without the Need for Predefined Ontologies. Presented at TRL @ NeurIPS 2024.
Zezhou Huang, Shuo Zhang, Kechen Liu, and Eugene Wu. Data-Centric Text-to-SQL with Large Language Models. Presented at TRL @ NeurIPS 2024.
Yurong Zhong, Kechen Liu, Shangce Gao, and Xin Luo. Alternating-Direction-Method of Multipliers-Based Adaptive Non-Negative Latent Factor Analysis. Published in IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2024.
Li Wan, Kechen Liu, Hanan Abdullah Mengash, Nuha Alruwais, Mesfer Al Duhayyim, and K. Venkatachalam. Deep Learning-Based Photoplethysmography Biometric Authentication for Continuous User Verification. Published in Applied Soft Computing, 2024.
Selected Publication
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Mobile X Lab, Columbia University (2023 ¨C Present)
Worked on projects involving NIR palm vein recognition and laser power delivery systems for microrobots.
Wimnet Lab, Columbia University (2024)
Developed a 140 GHz channel sounder integrated with LiDAR and camera systems.
LION Lab, Shanghai Jiao Tong University (2022 ¨C Present)
Focused on real-time hazard detection using earable camera systems.