Summary
Chia-che Chang is a Technical Manager with 11 years of experience specializing in generative models, uncertainty-aware deep learning, edge-efficient models, and image signal processing. Based in Hsinchu, Taiwan, he has driven low-latency, ultra-low-power AI features for mobile imaging—leading inventions like AI-MUB (motion unblur), AI-AF (auto-focus), and real-time AI-AWB—while contributing system designs that moved research into production. His work spans top-tier conferences (ICLR, CVPR, BMVC, ICCV, ECCV) and multiple patents, reflecting a rare combination of academic rigor and product impact. Known for squeezing high-level vision tasks (segmentation, detection) into resource-constrained edge devices, he blends systems thinking with novel model design to deliver practical, deployable AI.
11 years of coding experience
7 years of employment as a software developer
學士, Information Technology, 前10%, 學士, Information Technology, 前10% at 國立暨南國際大學
碩士, Information Technology, 碩士, Information Technology at 國立清華大學