About Me

Hengyuan Zhang is a Ph.D. student at the CSE Department of UCSD. He is a member of the Autonomous Vehicle Laboratory with Prof. Henrik I. Christensen. He earned his master’s degree in Intelligent Systems, Robotics and Control at the ECE Department of UCSD and Bachelor’s degree in Automation at Nanjing University. His research is in online mapping and sensor fusion in Autonomous Driving. He is part of the founding team in the Autonomous Vehicle Lab and has worked on semantic mapping, online mapping, LiDAR based detection, tracking and lidar-camera fusion for object tracking at AVL. He is excited about using robotics technologies to make human lives better.

Experience

[2020.9 - present] University of California San Diego, San Diego, US
Ph.D. in Computer Science and Engineering (supervisor: Henrik I. Christensen)
Autonomous Vehicle Laboratory

[2023.6 - 2023.9] Bosch Corporate Research, Sunnyvale, US
3D Perception and Deep Learning Intern

[2018.9 - 2020.6] University of California San Diego, San Diego, US
M.S. in Electrical and Computer Engineering, Track: Intelligent Systems, Robotics and Control

[2014.9 - 2018.6] Nanjing University, Nanjing, China
B.Eng. in Management and Engineering, Major: Automation

Publications

1. Ranganatha N.*, Zhang H.*, Venkatramani S., Liao, J., and Christensen H. SemVecNet: Online Vector Map Generation through Sensor-Configuration-Agnostic Semantic Mapping, 2024 IEEE Intelligent Vehicles Symposium (IV), Jeju, Korea, 2024.
2. Paz, D., Zhang, H., Xiang, H., Liang, A., and Christensen, H.I. Conditional Generative Models for Dynamic Trajectory Generation and Urban Driving. Sensors 2023, 23, 6764.
3. Zhang, H.*, Venkatramani S.*, Paz, D., Li, Q., Xiang, H., and Christensen, H.. Probabilistic Semantic Mapping for Autonomous Driving in Urban Environments, Sensors 2023, Special Issue in “Advanced Sensing Techniques for Autonomous Vehicles and Advanced Driver Assistance Systems (ADAS)”.
4. Zhang, H.*, Liao, J.*, Paz, D., Christensen, H. Robust Human Identity Anonymization using Pose Estimation. International Conference on Automation Science and Engineering (CASE) 2022.
5. Christensen, H., Paz, D., Zhang, H., Meyer, D., Xiang, H., Han, Y., Liu, Y., Liang, A., Zhong, Z., and Tang, S., Autonomous Vehicles for Micro-mobility. In Autonomous Intelligent Systems (Nov 2021).
6. Paz, D., Zhang, H., and Christensen, H. TridentNet: A Conditional Generative Model for Dynamic Trajectory Generation. In Intelligent Autonomous Systems (Singapore, June 2021)
7. Paz, D.*, Zhang, H.*, Li, Q.*, Xiang, H.*, and Christensen, H. Probabilistic Semantic Mapping for Urban Autonomous Driving Applications. In Intelligent Robots and Systems (Las Vegas, US, October 2020)
8. Paz, D., Lai, P.-J., Harish, S., Zhang, H., Chan, N., Hu, C., Binnani, S., and Christensen, H. Lessons learned from deploying autonomous vehicles at UC San Diego. In Field and Service Robotics (Tokyo, JP, August 2019)

Awards

1. CSE Best Poster Award in Jacobs School of Engineering Research Expo 2024 (with Narayanan Elavathur Ranganatha, Shashank Venkatramani, Jing-Yan Liao)
2. Best Overall Poster Award in Jacobs School of Engineering Research Expo 2021 (with David Paz)
3. IAS-16 Best Paper Award (with David Paz)
4. Qualcomm Innovation Fellowship 2020 North America (7% of all applications from selected top universities, with Dominique Meyer)

Services

1. Academic Event Chair at RoboGrads 2023-2024
   • hosts Feed the Intellect (FTI) series student research presentation and social
   • started and host RoboShare series mini workshop
   • host Contextual Robotics Institute (CRI) seminar speaker lunch with grad students
   • help organize volunteers, demos, tours for CRI Robotics Forum and Open House, US Robotics Roadmap Meeting, RoboSoft 2024 UCSD Tour, Town & Gown Tour etc
2. Teaching Assistant for CSE 276A Fall 2022
   • Assisted 90 graduate students learning and implementing vision-based feedback control, SLAM and planning algorithms on Qualcomm RB5 controlled Mbot Mega mobile robots
3. Volunteer for creating MyCSPhD, a website discusses Whether, Why, and How to Get a Ph.D. in Computer Science.

Homepage Thanks to Hugo

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