Qi She

Qi Qi is currently the Applied Algorithm Leader at ByteDance, focusing on business integrity. With a strong background in statistical machine learning and deep learning, they have led projects involving human-robot interaction models and developed ranking and recommendation systems for Douyin/TikTok. Previously, Qi served as a senior research scientist at Intel Labs China and held a visiting research scholar position at Princeton University, where they worked on advanced algorithms for neural data. They have also contributed to the field as an organizer of the IROS 2019 Lifelong Robotic Vision Challenge and as the competition chair for the CVPR 2020/2021 workshops on continual learning in computer vision.