Summary
Qiushi Yang is a research scientist and soon-to-be PhD graduate in computer vision at City University of Hong Kong with eight years of experience bridging academic research and industry R&D. His work spans image recognition, segmentation, medical AI, trajectory prediction for autonomous driving, and video generation, with measurable gains such as large improvements in trajectory prediction metrics and an 88% cancer classification result from novel 1D-CNN models. He has interned and researched at leading labs including DAMO Academy, Meituan, Horizon Robotics and Westlake University, and now contributes to video generation and reinforcement learning at Alibaba Cloud’s Tongyi Lab. Qiushi also has hands-on experience in early-stage AI and semiconductor investing, giving him a rare combination of technical depth and market insight useful for algorithm, quant, or VC roles. Colleagues describe him as a practical innovator who pairs novel model ideas with production-minded evaluation and data augmentation techniques.
8 years of coding experience
2 years of employment as a software developer
Bachelor's Degree, Telecommunications Engineering, Bachelor's Degree, Telecommunications Engineering at 东北大学
PhD Student, Computer Vision, PhD Student, Computer Vision at City University of Hong Kong
Chinese, English