Shuangzhi Li
Summary
Diligent [Desired Position] with solid foundation in research methodologies and data analysis. Effectively contributed to multiple research projects, showcasing keen eye for detail and problem-solving abilities. Demonstrated strong collaboration and critical thinking skills in both independent and team-driven environments.
Overview
8
8
years of professional experience
Work History
Graduate Research Assistant
University of Alberta
09.2021 - Current
- Studying 3D object detection in real-world applications, proposed a benchmark for evaluating the robustness of different detection models against common corruptions (Rain, Noise, Signal Missing, etc.)
- Studying robustness enhancement in 3D object detection, proposed a domain generalization method to adapt detection models to novel point clouds with various scanning densities.
- Studying the behavior of 3D object detection models encountering novel object classes.
- Supervised by Prof. Xingyu Li
Teacher Helper
University of Alberta
09.2021 - 05.2026
- As an lab instructor, Delivered oral instruction and technical guidance during lab sessions; trained and coordinated lab TAs to ensure effective lab execution.
- Graded lab reports and homework assignments; proctored final exams and maintained grading consistency.
- Provided timely support to students via office hours and online platforms, enhancing their understanding of course material.
Graduate Research Assistant
Beijing University of Posts and Telecommunications
09.2018 - 06.2021
- Studying simultaneous localization and mapping (SALM), implemented a Visual-SLAM system with a positioning error of < 1m (w/o vision loop) and 0.3m (w/ vision loop).
- Studying multi-source information fusion, designed a fusion system for heterogeneous sensors (e.g., V-SLAM, IMU, GPS, barometer) for seamless indoor-outdoor positioning.
- Supervised by Prof. Zhongliang Deng
Undergraduate Research Assistant
Beijing University of Posts and Telecommunications
01.2018 - 06.2018
- Studying GPS signal processing, proposed a cycle-slip algorithm to detect and remove outliers in GPS observation.
- Supervised by Prof. Lu Yin
Education
PhD - Electrical and Computer Engineering
University of Alberta
Edmonton, AB04-2026
Master of Engineer (M.Eng.) - School of Electronic Engineering
Beijing University of Posts and Telecommunications (BUPT)
06.2021
Skills
- Languages & Frameworks: Python, C, PyTorch, MMDetection3D, Open3D, OpenCV
- 3D Vision & Geometry: 3D object detection, point cloud processing, geometric transformations, BEV representation, Multi-modal fusion
- Model Development**: training/debugging, loss design, data augmentation, experiment tracking
- Tools & Engineering: Git, VS Code, Jupyter, Linux, SLURM
- Research & Problem Solving: Academic research, literature review, analytical thinking
- Soft Skills: Teamwork and collaboration, self-motivation, independent learning
Awards
Recruitment Scholarship, University of Alberta in 2021, National Scholarship for Postgraduates, China in 2020, 4×First-Class and 2×Third-Class Academic Scholarships, BUPT from 2015 to 2020, 1st Prize (as team leader) in the National Undergraduate Electronic Design Contest, China in 2017, Meritorious Winner (as team leader) in the Mathematical Contest in Modeling, international in 2017, 2nd Prize in the National Mathematics Competition, China in 2015, 3rd Prize in the Physics Competition of College Students in Some Areas of China in 2015, 2nd Prize in the BUPT Physics Competition, BUPT in 2015
Publications
- [C] Shuangzhi Li, Lei Ma, and Xingyu Li. From Dataset to Real-world Application: General 3D Object Detection via Few-shot Learning. (In preparation) In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2025.
- [C] Shuangzhi Li, Lei Ma, and Xingyu Li. Domain Generalization of 3D Object Detection by Density-Resampling. In European Conference on Computer Vision (ECCV), October 2024.
- [C] Nico Schiavone, Jingyi Wang, Shuangzhi Li, Roger Zemp, and Xingyu Li. MyriadAL: Active Few Shot Learning for Histopathology. In 2024 IEEE Conference on Artificial Intelligence (CAI), June 2024.
- [J] Shuangzhi Li, Zhijie Wang, Felix Juefei-Xu, Qing Guo, Xingyu Li, and Lei Ma. Common corruption robustness of point cloud detectors: Benchmark and enhancement. In IEEE Transactions on Multimedia, 2023.
- [J] Shuangzhi Li, Zhongliang Deng, Yanxu Liu, and Enwen Hu. A novel simultaneous calibration and localization algorithm framework for indoor scenarios. In IEEE Access, vol. 8, pp. 180100-180112, 2020.
- [J] Lu Yin, Shuangzhi Li, Zhongliang Deng, and Di Zhu. A novel cycle slips detection model for the high precision positioning. In IEEE Access, vol 7, pp. 24041-24050, 2019.
Timeline
Teacher Helper
University of Alberta
09.2021 - 05.2026
Graduate Research Assistant
University of Alberta
09.2021 - Current
Graduate Research Assistant
Beijing University of Posts and Telecommunications
09.2018 - 06.2021
Undergraduate Research Assistant
Beijing University of Posts and Telecommunications
01.2018 - 06.2018
Master of Engineer (M.Eng.) - School of Electronic Engineering
Beijing University of Posts and Telecommunications (BUPT)
PhD - Electrical and Computer Engineering
University of Alberta
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