1. September 2025 - Cooperative Perception Survey accepted in Proceedings of the IEEE (IF:25.9)
2. August 2025 - One Paper accepted in R-AL
3. July 2025 - EKI-GAN accepted by ICCV 2025 AI City Workshop
4. July 2025 - HeCoFuse and PointCompress3D accepted by ITSC 2025
5. June 2025 - Awarded 2025 UCR Esther F. Hays Graduate Fellowship
6. June 2025 - HeCoFuse ranked 1st in the CVPR 2025 V2X Challenge
7. March 2025 - Sensor Fusion Survey accepted by IV 2025
8. March 2025 - VRU Survey accepted in Applied Sciences
9. January 2025 - Award USDOT Intersection Safety Challenge (Stage 1B) Prize
10. December 2024 - Passed Oral Exam and advanced to PhD candidacy
11. October 2024 - Three papers accepted by TRB 2025 for presentation
12. September 2024 - MappedPillars awarded Best Student Poster Runner-up Award at DSAA 2024
13. July 2024 - RAF-RCNN accepted by ITSC 2024
14. July 2024 - Awarded 2024 UCR Esther F. Hays Graduate Fellowship
15. May 2024 - KI-GAN accepted by CVPR 2024 AI City Workshop
16. May 2024 - FCTR accepted by CVPR 2024 UG2+ Workshop
17. January 2024 - Dilemma Zone Survey accepted by FISTS 2024
18. November 2023 - One Paper accepted by IRC 2023
19. July 2023 - One Paper accepted by ITSC 2023
Research Experience
1. September 2025 - Applied Scientist Intern at Amazon
2. January 2023 - Research Assistant at CE-CERT, ECE, UCR
3. September 2022 - Started Ph.D. studies at the University of California, Riverside (UCR)
4. October 2021 - Started the MSc program in Smart, Connected and Autonomous Vehicles (SCAV) at the University of Warwick
5. October 2022 - Graduated from the University of Warwick with an MSc in SCAV
Education
1. Ph.D. - University of California, Riverside, Department of Electrical and Computer Engineering, 2022-Present. Advisors: Dr. Matthew J. Barth and Dr. Guoyuan Wu.
2. M.S. - University of Warwick, Smart, Connected and Autonomous Vehicles, 2021-2022. Advisor: Dr. Valentina Donzella.
3. B.S. - Communication University of China, 2013-2017.
Background
Research Interests: Autonomous driving perception and planning, particularly in challenging conditions such as vision-based and multi-sensor fusion perception in adverse environments, cooperative perception in V2X systems, trajectory prediction and planning in complex traffic scenarios like congested intersections and yellow-light dilemma zones, as well as personalized autonomous driving and vehicle re-identification.
2. Journal Reviewer: IEEE Transactions on Intelligent Transportation Systems (T-ITS); IEEE Transactions on Intelligent Vehicles (T-IV); IEEE Open Journal of Intelligent Transportation Systems (OJ-ITS); IEEE Open Journal of Vehicular Technology; Transactions on Machine Learning Research; Computer Science; Cybernetics & Systems