Hi! I am Qi Fang. First-year @ MScAC, University of Toronto.
My research enthusiasm lies in Computer Vision, AI
Security, and Robotics. I am particularly interested in achieving
robust robot perception, e.g. under the conditions of adverse
weather and adversarial attacks.
"We proposed a novel probability-guaranteed sampling method inspired by RANSAC to achieve a trust-worthy group of benign agents, outperforming adversarial training Method by 73%."
"We validated a key indicator of relative position between the ego vehicle and surrounding vehicles having important effects on take-over performance and driving safety."
Tasks: Design, develop, and test autonomous driving strategies for DiDi’s level-4 robotaxis to optimize the design of algorithms, data
science models, and autonomous features in terms of their reliability, safety, and efficiency
Xpeng Motors, Guangzhou, China (Jan. 2021 - Mar. 2021) Test Engineering Intern
Tasks: Research, quality assurance, user testing, evaluation and optimization of XPeng’s Valet Parking Assist (VPA) feature
Tsinghua University, Beijing, China (Sept. 2020 - Jan. 2021) Research Intern Supervisor: Prof. Wenjun Wang
Research Topics: Human factors and ergonomics in conditional automated driving. -> AHFE 2021 Paper
Beijing University of Posts and Telecommunications, Beijing, China (Sept. 2018 - Jun. 2023) Bachelor of Engineering
Computer Science and Technology
Major Courses: Operating System / Database System / Discrete Mathematics / Machine Learning / Data Structures / Compilers / Computer Networks
Misc
1. You can call me Qi[tʃiː].
2. I am really into math rock. Come to listen to my favorite math rock bands Elephant Gym and Shanghai Qiutian.
3. Red pandas are super cute! Check out their fluffy moments:
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4. I have 10yrs+ experiences in DIY and maintenance of PC hardware. I could help with many hardware or software issues. Check out my DIY PCs and Macs:
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5. I love exploring around and capturing moments. Check out some random photos by me:
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