Prof. Lu Bao-liang and Prof. Lu Cewu Elected in Elsevier's "Highly Cited Chinese Researchers" of 2021

Released Time: 2022-04-16

Recently, Elsevier released the list of "Highly Cited Chinese Researcher" of 2021.There were 4,701 "highly cited Chinese scholars" from 523 universities, enterprises and scientific research institutions, covering 10 academic fields and 84 first-class disciplines of the Ministry of Education. Prof. Lu Bao-liang and Prof. Lu Cewu from the Department of Computer Science and Engineering of SJTU were selected into the list.


Lu Bao-liang

Lu Bao-liang is now a tenure professor and PhD supervisor at the CS Department of SJTU and Guang Ci Professor at SJTU-affiliated Ruijin Hospital of SJTU. He is an IEEE Fellow. He works as the director of the Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering, executive director of Qingyuan Research Institute of SJTU, co-director of SJTU-affiliated Ruijin Hospital’s Brain-Computer Interface and Neuromodulation Center, and director of Ruijin Hospital Encephalopathy Center-miHoYo Joint Lab. He is the editorial board member of IEEE Transactions on Affective Computing, Journal of Neural Engineering, IEEE Transaction on Cognitive and Developmental Systems, Pattern Recognition and Artificial Intelligence, and Chinese Journal of Intelligent Science and Technology. He won the best paper award of 2021 IEEE Transactions on Affective Computing and 2018 IEEE Transactions on Autonomous Mental Development. He was awarded the natural science first prize of the 2020 Wu Wenjun AI Science & Technology Award. His research is mainly on brain-like computing theory and model, deep learning, emotion AI, affective brain-computer interface and its application in the diagnosis and treatment of affective disorder diseases.


Lu Cewu

Lu Cewu is a professor and PhD supervisor at the CS Department of SJTU. He was selected into the High-Level Overseas Young Talents Program in 2016, recognized as one of the top 35 innovators under the age of 35 in China by MIT Technology Review in 2018, and awarded Qiushi Outstanding Young Scholar Prize in 2019. He has published more than 100 papers as first or corresponding author at Nature, Nature-Intelligence, TPAMI and other high-level journals and conferences. He is the reviewer for Science and area chair of CVPR, ICCV, ECCV and IROS. His research interest includes computer vision and machine learning.


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