Dr. Zhenghao Chen
B.Eng. H1 (USYD), Ph.D. (USYD)
Vonwiller Research Fellow at The University of Sydney
J03 Building, Darlington NSW 2008
Email: zhenghao.chen@sydney.edu.au
"We know the past but cannot control it. We control the future but cannot know it." --- Claude Shannon 1916 - 2001
Biography
Dr. Zhenghao Chen is a Vonwiller Research Fellow at The University of Sydney. He obtained B.Eng. H1 and Ph.D. at The University of Sydney in 2017 and 2022, respectively. He is also fortunate to intern at Disney Research Switzerland, SenseTime Research, Chinese Academy of Sciences SIAT and CSIRO Data61. He has been awarded Google Australia Prize, Australia RTP International Fellowship, Vonwiller Research Fellowship, and ICCV Doctoral Consortium for his academic merit. His research interests are Machine Learning, Computer Vision and Information Theory and has publications in flagship artificial intelligence conferences and journals such as CVPR, ECCV, MM, AAAI and T-IP. He also acts as the conference program committee for CVPR, ECCV, ICCV, SIGGRAPH, AAAI, IJCAI, MICCAI, MM, the journal reviewer for T-IP, T-CSVT, PR, SPL, ToMM, RCIM, and the Guest Editor for Algorithms, Frontier-in-AI. He is/was a member at DSI@USYD, JC-STEM-Lab@HKU and CGL@ETHZ.
Call for Papers🔥
We are organizing a special issue “Efficient Learning Algorithms With Limited Resources” in Algorithms (Impact Factor: 2.3). The deadline is 1 May 2024. More details can be referred to https://www.mdpi.com/journal/algorithms/special_issues/CF0362657A.
We are organizing a special issue "Learning Efficiently from Limited Resources in the Practical World" in Frontiers in Artificial Intelligence (Impact Factor: 4.0) The Submission Deadline is 1 June 2024. More details can be referred to https://www.frontiersin.org/research-topics/60304/learning-efficiently-from-limited-resources-in-the-practical-world
News
[April, 2024] We are going to organize "1st International Workshop on Efficient Multimedia Computing under Limited Resources" in ACM Multimedia (MM) 2023, at Melbourne, Australia
[Dec, 2023] Our paper "UFDA: Universal Federated Domain Adaptation with Practical Assumption" is accepted by AAAI2024
[Aug, 2023] I serve as Guest Editor for Algorithms
[Aug, 2023] I serve as Guest Editor for Frontiers in Artificial Intelligence
[Aug, 2023] I have been awarded ICCV 2023 Doctoral Consortium
[Jul, 2023] Two papers for Neural Image/Video Compression research are accepted by MM2023
[Jul, 2023] I have been granted "Vonwiller Research Fellowship" by The University of Sydney
[Feb, 2022] I complete the research internship at Disney Research in Zurich, Switzerland and back to The University of Sydney for Postdoctoral Research Associate
[Feb, 2023] Our paper "Neural Vector Fields: Implicit Representation by Explicit Learning" is accepted by CVPR2023
[Feb, 2023] I serve as the lecturer/coordinator for the post-graduate unit ELEC5304 "Intelligent Visual Signal Understanding" at University of Sydney on Semester 1, 2023
[Dec, 2022] I have successfully defended my thesis and been awarded Doctor of Philosophy (Ph.D.) degree from The University of Sydney
[Sep, 2022] I start the research internship at Disney Research in Zurich, Switzerland
[Aug, 2022] I start the Postdoctoral Research Associate at The University of Sydney in Sydney, Australia
[Jul, 2022] Our paper "Improving RGB-D Point Cloud Registration by Learning Multi-scale Local Linear Transformation" is accepted by ECCV2022
[Mar, 2022] I serve as the guest lecturer for the post-graduate unit ELEC5306 "Video Intelligence and Compression" at University of Sydney on Semester 1, 2022
[Mar, 2022] Our paper "LSVC: A Learning-based Stereo Video Compression Framework" is accepted by CVPR2022 with 2 strong accepts and 1 weak accept
[Oct, 2021] Our paper "Exploiting Intra-slice and Inter-slice Redundancy for Learning-based Lossless Volumetric Image Compression" is accepted by IEEE TRANSACTIONS ON IMAGE PROCESSING (T-IP)
Copyright © Dr. Zhenghao Chen