Yang Tang
Title: Perception and Decision-Making in Autonomous Intelligent Systems
Abstract: In this talk, we will review our recent advances in perception and decision-making in autonomous intelligent systems. We will first report our results in unsupervised depth estimation via deep learning in dynamic environment. Then, we will show our results adapted to different extreme conditions like night, rainy night and snow days. After giving our results in perception of complex environment, we will also present our results in decision-making of UAV for aggressive flight and collision avoidance. Finally, some concluding remarks will be provided.
Biography: Yang Tang received the B.S. and Ph.D. degrees in electrical engineering from Donghua University, Shanghai, China, in 2006 and 2010, respectively. From 2008 to 2010, he was a Research Associate with The Hong Kong Polytechnic University, Hong Kong. From 2011 to 2015, he was a Post-Doctoral Researcher with the Humboldt University of Berlin, Berlin, Germany, and with the Potsdam Institute for Climate Impact Research, Potsdam, Germany. Since 2015, he has been a Professor with the East China University of Science and Technology, Shanghai. His current research interests include distributed estimation/control/optimization, cyber-physical systems, hybrid dynamical systems, computer vision, reinforcement learning and their applications.
Prof. Tang was a recipient of the Alexander von Humboldt Fellowship and has been the ISI Highly Cited Researchers Award by Clarivate Analytics from 2017. He is a Senior Board Member of Scientific Reports, an Associate Editor of IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Transactions on Circuits and Systems I: Regular Papers and IEEE Systems Journal, etc.
Abstract: In this talk, we will review our recent advances in perception and decision-making in autonomous intelligent systems. We will first report our results in unsupervised depth estimation via deep learning in dynamic environment. Then, we will show our results adapted to different extreme conditions like night, rainy night and snow days. After giving our results in perception of complex environment, we will also present our results in decision-making of UAV for aggressive flight and collision avoidance. Finally, some concluding remarks will be provided.
Biography: Yang Tang received the B.S. and Ph.D. degrees in electrical engineering from Donghua University, Shanghai, China, in 2006 and 2010, respectively. From 2008 to 2010, he was a Research Associate with The Hong Kong Polytechnic University, Hong Kong. From 2011 to 2015, he was a Post-Doctoral Researcher with the Humboldt University of Berlin, Berlin, Germany, and with the Potsdam Institute for Climate Impact Research, Potsdam, Germany. Since 2015, he has been a Professor with the East China University of Science and Technology, Shanghai. His current research interests include distributed estimation/control/optimization, cyber-physical systems, hybrid dynamical systems, computer vision, reinforcement learning and their applications.
Prof. Tang was a recipient of the Alexander von Humboldt Fellowship and has been the ISI Highly Cited Researchers Award by Clarivate Analytics from 2017. He is a Senior Board Member of Scientific Reports, an Associate Editor of IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Transactions on Circuits and Systems I: Regular Papers and IEEE Systems Journal, etc.