Wenwu ZHU

Wenwu ZHU is a Professor in the Department of Computer Science and Technology at Tsinghua University. His research interests include multimedia computing and system, big data analysis, and graph representation learning. He has made significant contributions to multimedia cloud computing, including the concept of 'media edge cloud' (MEC) architecture. His work on social-aware multimedia content replication received the ACM Multimedia 2012 best paper award. He has also developed the world's first automated graph representation learning library, AutoGL. ZHU has held various editorial and program committee roles, including Editor-in-Chief of IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Multimedia. He is a Fellow of IEEE, ACM, AAAS, SPIE, and Academia Europaea.

Wenwu Zhu is a Professor in Computer Science at Tsinghua University, specializing in Multimedia Computing and Network Representation. His research focuses on developing advanced techniques for network embedding, graph-based deep learning, and multimedia cloud computing. He has contributed significantly to the field through works such as 'Structural deep network embedding' and 'A survey on network embedding,' which explore methods for representing networks in lower-dimensional spaces. His publications also address challenges in multimedia over wireless networks, including quality of service adaptation and streaming video. Additionally, Zhu has explored disentangled representation learning and social contextual recommendation, highlighting his interdisciplinary approach to solving complex problems in data science and computer networks.