Prof. Yingqian Zhang
School of Information and Science Technology at Xiamen University Tan Kah Kee College, China
Title: Watermarking Technology for Deep Learning Intellectual Property Protections
Yingqian Zhang is currently a Professor in the School of Information and Science Technology at Xiamen University Tan Kah Kee College, China. He received the B.S. degree in computer application in 2002, the M.E. degree in computer application in 2006, and the Ph.D. degree in computer application in 2015, from Dalian University of Technology, Dalian, China. His recent research interests include chaotic secure communication, AI security, and AI paintings. He has published more than 40 papers in refereed journals.
Deep learning (DL) has widely applied in many industrial fields. The cost of a DL model includes data collection and labeling, algorithm design, training, professional experts’ efforts within high-performance computers. However, to duplicate a DL model is as easy as to copy a file. How do you prove the ownership of your DL models? This report concerns Intellectual Property protections technology for DL models. This topic presents an overview of DL models watermarking technology and security factors. Focusing on the security of DL models watermarking, a novel DL model watermarking mechanism shows significant meanings on the Intellectual Property Protections of intelligent entities in our society.
Assoc. Prof. Xin Liu
School of Information and Communication Engineering at Dalian University of Technology, China
Title: Wireless Power Transfer（WPT）for Wireless Communications in Smart City
Xin Liu is currently an Associate Professor in the School of Information and Communication Engineering at Dalian University of Technology, China. He received the B.S. degree in communication engineering in 2006, the M.E. degree in information and communication engineering in 2008, and the Ph.D. degree in information and communication engineering in 2012, from Harbin Institute of Technology, Harbin, China. From Jun. 2012 to Jun. 2013, Xin Liu did postdoctoral research in Nanyang Technological University, Singapore. His recent research interests include Cognitive Radio, Energy Harvesting, and Cloud Computing. He has published more than 50 papers in refereed journals and international conferences. Dr. Liu is a Senior member of the IEEE. He served as a technical program committee (TPC) chair for MLICOM and CHINACOM, he served as a TPC member for many conferences, e.g., Globecom, VTC, WCSP.
Due to the great power consumption, small battery capacity and mobility requirements, etc., the development and application of battery-powered communication devices are facing with unprecedented technical challenges. As a novel pattern of energization, the wireless power transfer (WPT) offers a band new way to the energy acquisition for electric-driven devices, thus alleviating the over-dependence on the battery. This topic presents an overview of WPT techniques with emphasis on working mechanisms, technical challenges, metamaterials, and classical applications in wireless communications. Focusing on WPT systems, this topic elaborates on current major research topics and discusses about future development trends in wireless communications. This novel energy transmission mechanism shows significant meanings on the pervasive application of renewable energies in our daily life.