He is an active researcher in adversarial machine learning, deep learning and computer vision and has published over 50 papers at top conferences including ICML, ICLR, CVPR, ICCV, AAAI and IJCAI.
Researcher at Cambridge University and UK Key Laboratory of Intelligent Information Processing, full member of JSAI Artificial Intelligence Society, IEEE member, SIGIR member, CAAI member, and member of China Artificial Intelligence Society. AAA1 International Society for Artificial Intelligence. Member of ACM, member of China-Britain Artificial Intelligence Association, ACM CAAI, member of China-Britain Artificial Intelligence Association, Japan Deep Learning Association
Engaged in biometric identification research at Cambridge University, MIT University and Google headquarters in the United States, and served as a core R&D member of the Google Abacus project. The main research directions are computer vision and pattern recognition, intelligent biological perception and medical image analysis. Published more than 50 academic papers in authoritative international journals and conferences in IEEE TPAMI / TIP / TIFS / TBIOM, CVPR, ECCV, NeurIPS, MICCAI and other fields, with more than 2,500 Google Scholar citations (H-Index: 24); There are more than 10 national key research and development sub-projects, key sub-projects of funds, general funds, foreign cooperation and enterprise cooperation of the National Academy of Sciences. The research results have won FG2019 and ICCV2017 apparent age recognition competition, ICMI2018 face video focus analysis, and NIST related awards.
Lead the artificial intelligence department, and the vice president leads the artificial intelligence product center. He delivered the first fully functional DMS, smart sensing system and many other AI products in a production car. He was a researcher at Microsoft Research in Washington State, USA. His professional interests lie in the broad areas of computer vision, imaging systems, human behavior understanding and biometrics, and autonomous driving. Received Research Council Discovery Researcher Award 2018, Institute of Electronics (IEEE) Outstanding Doctoral Dissertation Award 2018, Real World Recognition (RLQ) from Low Quality Images and Video at ICCV 2019, Presented at CVPR 2019 Workshops for learning in person (LIP). Mainly in the application of machine learning techniques to solve computer vision problems such as object detection and semantic segmentation.
Special visiting associate professor at Kyoto University, Japan. From 2017 to 2019, he was a special researcher in the major industry-university-research integration project of the Ministry of Education, Culture, Sports, Science and Technology in the field of public security at Kyoto University, Japan. The International Robot and Vision Joint Research Laboratory jointly established with CMU is a special assistant professor and the actual head of the laboratory. He has deeply participated in or presided over more than 10 national and international cooperation projects (including 973, 863, major research projects of the National Fund Committee, major projects of the Ministry of Education, Culture, Sports, Science and Technology's science and technology strategy promotion funds, etc.) Projects, key projects, and the Ministry of Education, Culture, Sports, Science and Technology's research funding youth project, Japan-UK bilateral cooperation projects, Microsoft Research Asia-funded projects, etc.), and published more than 60 English papers (including more than 10 top conference papers).