Mengchu Zhou
Ph.D. & Dist. Professor, Fellow of IEEE, IFAC, AAAS, CAA and NAI
New Jersey Institute of Technology
MengChu Zhou received his B.S. degree in Control Engineering from Nanjing University of Science and Technology, Nanjing, China in 1983, M.S. degree in Automatic Control from Beijing Institute of Technology, Beijing, China in 1986, and Ph. D. degree in Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, NY in 1990. He joined the Department of Electrical and Computer Engineering, New Jersey Institute of Technology in 1990, and is now a Distinguished Professor. His interests are in intelligent automation, robotics, Petri nets, Internet of Things, edge/cloud computing, AI, and big data analytics. He has over 1400 publications including 19 books, over 900 journal papers including over 700 IEEE Transactions papers, 32 patents and 32 book-chapters. He is a recipient of Excellence in Research Prize and Medal from NJIT, Humboldt Research Award for US Senior Scientists from Alexander von Humboldt Foundation, and Franklin V. Taylor Memorial Award and the Norbert Wiener Award from IEEE Systems, Man, and Cybernetics Society, and Edison Patent Award from the Research & Development Council of New Jersey. He is Fellow of IEEE, International Federation of Automatic Control (IFAC), American Association for the Advancement of Science (AAAS), Chinese Association of Automation (CAA) and National Academy of Inventors (NAI).
Existing studies on knowledge distillation focus on teacher-centered methods, in which the teacher network is trained according to its own standards before transferring the learned knowledge to a student one. However, due to differences in network structure between teacher and student ones, the knowledge learned by the former may not be truly desired by the latter. Inspired by human educational wisdom, we propose a Student-Centered Distillation (SCD) method that enables the teacher network to adjust its knowledge transfer according to the student’s true needs. We implement it based on human educational wisdom. The teacher network identifies and learns the knowledge desired by the student network on the validation set, and then transfers it to the latter through the training set. To address the problems of current deficiency knowledge, hard sample learning and knowledge forgetting faced by a student network in the learning process, we introduce and improve Proportional-Integral-Derivative (PID) algorithms from the field of control systems to make them effective in identifying the current knowledge required by the student network. Furthermore, we propose a curriculum learning-based fuzzy strategy and apply it to the proposed PID control algorithm, such that the student network can actively pay attention to the learning of challenging samples. Experimental results show that SCD outperforms existing teacher-centered ones in image processing tasks.
Mengchu Zhou
Ph.D. & Dist. Professor, Fellow of IEEE, IFAC, AAAS, CAA and NAI
New Jersey Institute of Technology
MengChu Zhou received his B.S. degree in Control Engineering from Nanjing University of Science and Technology, Nanjing, China in 1983, M.S. degree in Automatic Control from Beijing Institute of Technology, Beijing, China in 1986, and Ph. D. degree in Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, NY in 1990. He joined the Department of Electrical and Computer Engineering, New Jersey Institute of Technology in 1990, and is now a Distinguished Professor. His interests are in intelligent automation, robotics, Petri nets, Internet of Things, edge/cloud computing, AI, and big data analytics. He has over 1400 publications including 19 books, over 900 journal papers including over 700 IEEE Transactions papers, 32 patents and 32 book-chapters. He is a recipient of Excellence in Research Prize and Medal from NJIT, Humboldt Research Award for US Senior Scientists from Alexander von Humboldt Foundation, and Franklin V. Taylor Memorial Award and the Norbert Wiener Award from IEEE Systems, Man, and Cybernetics Society, and Edison Patent Award from the Research & Development Council of New Jersey. He is Fellow of IEEE, International Federation of Automatic Control (IFAC), American Association for the Advancement of Science (AAAS), Chinese Association of Automation (CAA) and National Academy of Inventors (NAI).
Existing studies on knowledge distillation focus on teacher-centered methods, in which the teacher network is trained according to its own standards before transferring the learned knowledge to a student one. However, due to differences in network structure between teacher and student ones, the knowledge learned by the former may not be truly desired by the latter. Inspired by human educational wisdom, we propose a Student-Centered Distillation (SCD) method that enables the teacher network to adjust its knowledge transfer according to the student’s true needs. We implement it based on human educational wisdom. The teacher network identifies and learns the knowledge desired by the student network on the validation set, and then transfers it to the latter through the training set. To address the problems of current deficiency knowledge, hard sample learning and knowledge forgetting faced by a student network in the learning process, we introduce and improve Proportional-Integral-Derivative (PID) algorithms from the field of control systems to make them effective in identifying the current knowledge required by the student network. Furthermore, we propose a curriculum learning-based fuzzy strategy and apply it to the proposed PID control algorithm, such that the student network can actively pay attention to the learning of challenging samples. Experimental results show that SCD outperforms existing teacher-centered ones in image processing tasks.
Hiroshi Ishiguro
Professor of Department of Systems Innovation, Osaka University Visiting director of ATR Hiroshi Ishiguro Laboratories
Hiroshi Ishiguro received a Ph. D. from Osaka University, Japan in 1991. He is currently Professor of Department of Systems Innovation at Osaka University, Visiting Director of Hiroshi Ishiguro Laboratories at the Advanced Telecommunications Research Institute (ATR), Project Manager of MOONSHOT R&D Project, Thematic Project Producer of EXPO 2025 Osaka, Kansai, Japan, and CEO of AVITA, Inc. His research interests are interactive robotics, avatar, and android science. Geminoid is an avatar android that is a copy of himself. In 2011, he won the Osaka Cultural Award. In 2015, he received the Prize for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology. He was also awarded the Sheikh Mohammed Bin Rashid Al Maktoum Knowledge Award in Dubai in 2015. Tateisi Award in 2020, and honorary doctorate of Aarhus university in 2021.
In this lecture, the speaker will introduce the technologies of autonomous robots and avatars (teleoperated robots and CG characters) that he has developed, and discuss how the avatar technology will change the world.
It is important to enable people with various backgrounds and values, such as those who need to care for or raise children or the elderly, to participate in diverse activities according to their own lifestyles, and to realize a society in which people are free from the constraints of body, brain, space, and time. Avatar is the realization of such a society.
The speaker is engaged in research, development, and business with the aim of enabling anyone to freely and remotely control multiple avatars and participate in diverse work, educational, medical, and everyday social activities without having to go to the field.
Hiroshi Ishiguro
Professor of Department of Systems Innovation, Osaka University Visiting director of ATR Hiroshi Ishiguro Laboratories
Hiroshi Ishiguro received a Ph. D. from Osaka University, Japan in 1991. He is currently Professor of Department of Systems Innovation at Osaka University, Visiting Director of Hiroshi Ishiguro Laboratories at the Advanced Telecommunications Research Institute (ATR), Project Manager of MOONSHOT R&D Project, Thematic Project Producer of EXPO 2025 Osaka, Kansai, Japan, and CEO of AVITA, Inc. His research interests are interactive robotics, avatar, and android science. Geminoid is an avatar android that is a copy of himself. In 2011, he won the Osaka Cultural Award. In 2015, he received the Prize for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology. He was also awarded the Sheikh Mohammed Bin Rashid Al Maktoum Knowledge Award in Dubai in 2015. Tateisi Award in 2020, and honorary doctorate of Aarhus university in 2021.
In this lecture, the speaker will introduce the technologies of autonomous robots and avatars (teleoperated robots and CG characters) that he has developed, and discuss how the avatar technology will change the world.
It is important to enable people with various backgrounds and values, such as those who need to care for or raise children or the elderly, to participate in diverse activities according to their own lifestyles, and to realize a society in which people are free from the constraints of body, brain, space, and time. Avatar is the realization of such a society.
The speaker is engaged in research, development, and business with the aim of enabling anyone to freely and remotely control multiple avatars and participate in diverse work, educational, medical, and everyday social activities without having to go to the field.
@ Copyright - IEEE SMC 2025
Terms & Conditions lEEE Privacy Policy
@ Copyright - IEEE SMC 2026
