MLISE 2025

Prof. Weijia Jia

Distinguished Member of CCF

Beijing Normal University at Zhuhai, China

Weijia Jia is currently a Chair Professor and Director of the Joint AI and Future Networking Research Institute of Beijing Normal University (BNU, Zhuhai) and United International College (UIC), Zhuhai, Guangdong, China. He also serves as the VP for Research at UIC China. Before joining BNU/UIC, he served as the Deputy Director of the State Kay Laboratory of Internet of Things for Smart City at the University of Macau and Zhiyuan Chair Professor at Shanghai Jiaotong University, PR China. He received his BSc/MSc degrees from Center South University, China in 1982 and 1984, and his a PhD degree from Polytechnic Faculty of Mons, Belgium in 1993, all in computer science. Between 1993 to 1995, he joined the German National Research Center for Information Science (GMD) in Bonn (St. Augustine) as a research fellow. From 1995 to 2013, he served at the City University of Hong Kong as a professor. His contributions have been recognized for the research of optimal network routing and deployment, vertex cover, anycast and multicast protocols, sensors networking, knowledge relation extractions, NLP, and intelligent edge computing. He has over 600 publications in prestigious international journals/conferences, including papers, books, and book chapters. He has received the best product awards from the International Science & Tech. Expo (Shenzhen) in 2011/2012 the 1st Prize of Scientific Research Awards from the Ministry of Education of China in 2017 and many provincial science and tech awards. He has served as an area editor for various prestige international journals, chair, and PC member/keynote speaker for many top international conferences. He is the Fellow of IEEE and the Distinguished Member of CCF.

Prof. Yinqiang Zheng

Foreign Fellow, The Engineering Academy of Japan

The University of Tokyo, Shenzhen, Japan

Artificial Intelligence Research Center, The University of Tokyo, where he leads the Optical Sensing and Camera System (OSCARS) laboratory. Professor Zheng integrates artificial intelligence with optical imaging, proposing innovative interdisciplinary concepts such as “Optics for Better AI” and “AI for Best Optics.” He has developed pioneering equipment including the world’s first variable-frequency array-based photoacoustic 3D vascular imaging system and a microscopic fluorescence spectrophotometer. He has served as an area chair for major international conferences such as ICLR, NeurIPS, CVPR, ICCV, and ACM MM. His contributions have been recognized with the Konica Minolta Imaging Science Award and the Funai Academic Award, and in April 2025, he was elected as a Foreign Fellow of the Engineering Academy of Japan.

Speech Title: 

AI-driven Automatic Design

Abstract: 

This talk will cover our recent researches on utilizing deep learning to optimize the design of physical structures, as to as to maximize the performance of a specific computer vision task under various practical constraints. Three typical examples, including filter response design to maximize the performance of spectral reconstruction, illumination multiplexing to boost the NIR-to-RGB translation accuracy, texture design to improve the recognition accuracy under adversarial imaging conditions, will be introduced, and future directions on AI-human collaborative design will be discussed.