Likun Cai is a first-year Ph.D. student in Electrical and Computer Engineering at the University of Toronto researching neural compression and learning under Prof. Ashish Khisti. With nine years of experience across academic and industry research roles, Likun has contributed to vision-language pre-training, open-vocabulary object detection, large-scale dataset construction, and unsupervised image segmentation at organizations including AWS, Xiaohongshu, Tencent, and ShanghaiTech. Their work blends theory (bi-level optimization) and practical systems (BigDetection dataset and mobile makeup transfer pipelines), showing a knack for turning research ideas into reusable datasets and applied models. Actively seeking internships and research collaborations, Likun brings multidisciplinary training from ShanghaiTech, Xidian, and prior PhD work at Fudan, and a unique focus on compressing learned representations for efficient vision and ML systems.
9 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at ShanghaiTech University
PhD student, Computer Sicence, PhD student, Computer Sicence at Fudan University
Bachelor's degree, Spatial Information and Digital Technology, Bachelor's degree, Spatial Information and Digital Technology at Xidian University
PhD Student, Electrical and Computer Engineering, PhD Student, Electrical and Computer Engineering at University of Toronto
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Likun Cai - Doctoral Student at University of Toronto