Title:
3D Wireless Communication and Sensing with Gaussian Splatting
时间：2026.01.16周五15:00 p.m. - 17:00 p.m.
地点：无线谷1306会议室
Abstract
Recent breakthroughs in neural scene representations have unlocked high-quality 3D reconstruction and photorealistic rendering from real-world data. Among these, 3D Gaussian Splatting (3DGS) has rapidly emerged as a highly expressive and efficient representation, bridging the best of neural rendering with the speed and simplicity of rasterization.
In this talk, I will explore how 3DGS can be harnessed for real-time neural data representation, compression, and streaming, enabling next-generation applications such as 3D teleconferencing, immersive communication, and telepresence. Beyond visual media, I will also present our recent efforts in extending 3DGS to wireless sensing and communication. These interdisciplinary explorations open up exciting frontiers at the intersection of computer vision, graphics, and wireless systems.
Bio:
Jun Zhang received his Ph.D. degree in Electrical and Computer Engineering from the University of Texas at Austin. He is an IEEE Fellow and Clarivate Highly Cited Researcher. He is a Professor in the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology. His research interests include integrated communications and AI, generative AI, and edge AI systems. He is a co-recipient of several best paper awards, including the 2021 Best Survey Paper Award of IEEE Communications Society, the 2019 IEEE Communications Society & Information Theory Society Joint Paper Award, and the 2016 Marconi Prize Paper Award in Wireless Communications. He also received the 2016 IEEE ComSoc Asia-Pacific Best Young Researcher Award. He is an Area Editor of IEEE Transactions on Wireless Communications (leading the area of Machine Learning and Artificial Intelligence) and IEEE Transactions on Machine Learning in Communications and Networking (leading the area of Distributed Learning and AI at the Network Edge).
