Dr. Xiaodan Liang is currently an Associate Professor at Sun Yat-sen University. She was a Project Scientist at Carnegie Mellon University, working with Prof. Eric Xing. She focuses on the interpretable and cognitive intelligence and its applications on large-scale visual recognition, automatic machine learning and cross-modality dialogue systems. She has published over 80 cutting-edge papers which have appeared in the most prestigious journals and conferences in the field, Google Citation 6300+. She serves as an Area Chair of ICCV 2019, CVPR 2020 and Tutorial Chair (Organization committee) of CVPR 2021. She has been awarded ACM Chine and CCF Best Doctoral Dissertation Award and Alibaba DAMO Academy Young Fellow (Top10 under 35 in China), ACL 2019 Best Demo paper nomination. She and her collaborators has also published the largest human parsing dataset to advance the research on human understanding and successfully organized four workshops and challenges on CVPR 2017, CVPR 2018, CVPR 2019, CVPR 2020.