Sponsor
Organizing Commitee
Li Zhang received the Ph.D. degree in Computer Science from the Institute of Computing Technology, Chinese Academy of Sciences, in 2009. She is currently the Lead of the Multimedia Lab at Bytedance Inc., San Diego. Previously, she held research roles at Qualcomm Inc. and Peking University. Dr. Zhang’s research interests include 2D/3D image and video coding, processing, and transmission. She has made extensive contributions to major international standards, including H.266/VVC, AVS, IEEE 1857, MPEG G-PCC, JPEG AI, and the 3D extensions of HEVC. She has co-chaired multiple ad hoc groups and core experiments, served as an Editor for AVS, and was the Main Editor of the Software Test Model for 3DV. Her contributions have been recognized with multiple Certificates of Appreciation from the IEEE Standards Association. She has authored over 600 adopted standardization proposals, holds more than 900 granted U.S. patents, and has published over 180 technical papers in journals, conferences, and book chapters. Her work has earned multiple accolades, including Best Paper at ISCAS 2022, Top 15 Best Paper at ICME 2025, and Top 10 Best Paper at IEEE PCS 2021. She has also led teams to 1st place in international challenges such as CVPR CLIC, CVPR NTIRE, and ECCV AIM. Dr. Zhang serves as an Associate Editor for the IEEE Transactions on Circuits and Systems for Video Technology and is a member of the IEEE Multimedia Signal Processing Technical Committee (2025–2027). She is Senior Program Committee for AAAI 2026, Area Chair for ICME 2025, TPC for ICIP 2025 workshop, Sponsorship Co-Chair for MMSP 2024, and Industrial Liaison Chair for PCS 2024. She actively organizes special sessions and grand challenges at leading international conferences and was a panelist in the DCC 2025 discussion on “The Future of Video Coding”.
Jizheng Xu received a Ph.D. degree in electrical engineering from Shanghai Jiaotong University, China in 2011. He joined Microsoft Research Asia in 2003 and served as a Research Manager and joined ByteDance multimedia lab as a Research Scientist in 2018. He has authored and co-authored over 140 refereed conference and journal refereed papers. His research interests include image and visual signal representation, image/video compression and communication, computer vision, and deep learning. He has been an active contributor to ISO/MPEG and ITU-T video coding standards, including H.264/AVC, H.265/HEVC, and VVC/H.266. He initiated the screen content coding in H.265/HEVC and was a major technical contributor. He chaired and co-chaired the ad-hoc group of exploration on wavelet video coding in MPEG, and various technical ad-hoc groups in JCT-VC, e.g., on screen content coding, on parsing robustness, on lossless coding. He was an Associate Editor for the IEEE Transactions on Circuits and Systems for Video Technology from 2018 to 2020. He served as a Guest Editor for the special issue on Screen Content Video Coding and Applications of the IEEE Journal on Emerging and Selected Topics in Circuits and Systems in 2016. He co-organized and co-chaired special sessions on scalable video coding, directional transform, high-quality video coding at various conferences.
Kai Zhang received the B.S. degree in computer science from Nankai University, Tianjin, China, in 2004. In 2011, he received the Ph.D. degree in computer science from the Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China. From 2011 to 2012, he worked as a researcher in Tencent Inc. Beijing, China. From 2012 to 2016, he worked as a team manager in Mediatek Inc. Beijing, China, leading a research team to propose novel technologies to emerging video coding standards. From 2016 to 2018, he worked in Qualcomm Inc. San Diego, CA, still focusing on video coding standardization. Now, he is leading the standardization team in Bytedance Inc. San Diego, CA. Dr. Zhang’ research interests include video/image compression, coding, processing and communication, especially video coding standardization. From 2006, he has contributed more than 500 proposals to JVT, VCEG, JCT-VC, JCT-3V, JVET and AVS, covering many important aspects of major standards such as H.264/AVC, HEVC, 3D-HEVC, VVC and AVS-1,2,3. He has 800+ granted or pending U.S. patents applications. Most of these patents are essential to popular video coding standards. During the development of VVC, Dr. Zhang co-chaired several core experiments and branch of groups. Currently, Dr. Zhang serves as a coordinator of the reference software known as ECM in JVET, to explore video coding technologies beyond VVC. Dr. Zhang has co-authored 100+ papers and reviewed 80+ papers on top-tier journals/conferences. He was a TPC member for VCIP 2018 and DCC 2024. He was an organizer of the Grand Challenge on Neural Network-based Video Coding in ISCAS 2022/2023/2024. Now he is the AE of IEEE T-CSVT and IET-IP.
Yue Li received a B.S. and Ph.D. degrees in electronic engineering from the University of Science and Technology of China, Hefei, China, in 2014 and 2019, respectively. He is currently a Research Scientist with Bytedance Multimedia Lab, San Diego, CA, USA. His research interests include image/video coding and processing. He has authored 50+ neural network-based standardization contributions to the Versatile Video Coding (VVC). He has authored/co-authored 25+ papers on well-known journals/conferences such as T-IP, T-CSVT, CSUR, ICIP, ICME, DCC, etc. He also serves as a reviewer for those journals/conferences.
Junru Li received a B.S. degree in telecommunication engineering from Shandong University, Jinan, China, in 2015 and a Ph.D. degree in computer applied technology from Peking University, Beijing, China, in 2021. In 2019, he joined the Department of Computer Science, City University of Hong Kong, as a Research Assistant. He is currently doing research work on image/video coding as a Research Scientist in Bytedance Inc., San Diego. He has been actively participating in the development of VVC and AVS3 standards and contributed over 120+ proposals to JVET, IEEE 1857, and AVS. He served/serves as ad-hoc group co-chairs, software coordinators, and core experiment coordinators for JVET and AVS. He has authored 30+ articles in journals and conferences on video coding, such as TIP, TCSVT, CVPR, and DCC. His research interests include data compression, image/video coding, and multimedia signal processing.
Operations Committee
Wei Jiang