Zhi Ruicong (1983.12), professor and doctoral supervisor. Worked at the School of Computer and Communication Engineering, University of Science and Technology Beijing. In 2005, he graduated from the School of Computer Science and Technology of Beijing Jiaotong University, majoring in biomedical engineering, and obtained a bachelor's degree in engineering. In 2010, he graduated from the Institute of Information Science of Beijing Jiaotong University, majoring in signal and information processing with a Ph. From 2016 to 2017, he was a visiting scholar at the School of Computer Science at the University of South Florida in the United States. From 2008 to 2009, he co-trained a Ph.D. in the School of Electrical Engineering at the Royal Swedish Institute of Technology. From 2010 to 2015, he worked in the Sensory Analysis Laboratory of the Institute of Food and Agricultural Standardization, China National Institute of Standardization, as an associate researcher.

The main research direction is computer vision, artificial intelligence and innovative applications in cross-fields. In the aspect of human emotion intelligence analysis, it focuses on the emotion analysis and attribute recognition research of fine facial expressions. The emotion intelligence is innovatively applied to the objective measurement of consumer preferences, and it has been well applied in medical treatment and safety. Presided over the research tasks of the National Natural Science Foundation of China (general), national key research and development special sub-tasks, national defense science and technology innovation projects and other research tasks, as the first/corresponding author in IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Systems, Man, and Cybernetics, Journal of Agricultural and Food Chemistry, Journal of Dairy Science, Journal of Clinical Medicine and other top journals in artificial intelligence and interdisciplinary fields have published more than 70 papers, which have been cited hundreds of times. Obtained more than 20 authorized invention patents, participated in the formulation of 1 international standard, 2 national standards, and edited 3 books. Won the Science and Technology Inspection Award from the General Administration of Quality Supervision, Inspection and Quarantine, the Beijing Municipal Science and Technology Award, and the National Nomination Award for 100 Excellent Doctoral Dissertations. Served as a member of the ISO TC34/SC12 Special Committee, a member of the Beijing Internet of Things Society, a member of the Smart Medical Special Committee of the Artificial Intelligence Society, and a member of the Traffic Video Special Committee of the Chinese Society of Image and Graphics.

• [1] Development of a deep multimodal hedonic recognition database for oral stimuli, Food Quality and Preference, 2020.

  [2] Action unit analysis enhanced facial expression recognition by deep neural network evolution, Neurocomputing, 2020.

  [3] Development of a direct mapping model between hedonic rating and facial responses by dynamic facial expression representation, Food Research International, 2020.

  [4] A comprehensive survey on automatic facial action unit analysis, The Visual Computer, 2020.

  [5] Combining 3D convolutional neural networks with transfer learning by supervised pre-training for facial micro-expression recognition, IEICE Transactions on Information and Systems, 2019.

  [6] Automatic infants' pain assessment by dynamic facial representation: effects of profile view, gestational age, gender, and race, Journal of Clinical Medicine, 2018.

  [7] Correlation between hedonic liking and facial expression measurement using dynamic affective response representation, Food Research International, 2018.

  [8] Asians' facial responsiveness to basic tastes by automated facial expression analysis system, Journal of Food Science, 2017.

  [9] Improving the sensory quality of flavored liquid milk by engaging sensory analysis and consumer preference, Journal of Dairy Science, 2016.

  [10] A framework of establishing standard reference scale of texture by multivariate statistical analysis based on instrumental measurement and sensory evaluation, Journal of Agricultural and Food Chemistry, 2016.

  
  

Independently preside over or participate in dozens of important projects such as the National Natural Science Foundation of China, national key research and development projects, and the AQSIQ technology plan projects.

Host national projects:

"Typical Elements Extraction and Change Detection", National Key R&D Special Subtask (2019-2022)

"Research on the fine dynamic feature description mechanism and automatic recognition technology of facial micro-expression", National Natural Science Foundation of China (2017-2020)

"Food flavor perception and preference influence mechanism and Chinese flavor map construction", a national key research and development special subtask (2017-2020)

"Research on the Objective Measurement Method of Consumer Preference Based on Emotional Cognition", National Natural Science Foundation of China Youth Fund (2013-2015)

Authorized more than 20 national invention patents, and obtained three software copyrights.

The second prize of the 2016 Science and Technology Inspection Award of the General Administration of Quality Supervision, Inspection and Quarantine

2014 Second Prize of Beijing Municipal Science and Technology Award ("Image Processing and Intelligent Analysis Theory and Application")

Nominated for National 100 Excellent Doctoral Dissertations in 2013 ("Research on Facial Expression Recognition Algorithm Based on Spectrogram Theory")

2012 Second Prize of Science and Technology Progress Award of China Business Federation

2011 First Prize of Science and Technology Progress Award of China Business Federation