Yongcheng Jing
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[Google Scholar][Github]
Biography
I am currently a third-year PhD student at the University of Sydney, fortunately advised by Prof. Xinchao Wang and Prof. Dacheng Tao.
Prior to the University of Sydney,
I received my MS in Computer Science at the Microsoft Visual Perception Laboratory (VIPA) of Zhejiang University (ZJU) and Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies (AZFT),
advised by Prof. Mingli Song and Prof. Yizhou Yu.
Selected Publications
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Yongcheng Jing, Chongbin Yuan, Li Ju, Yiding Yang, Xinchao Wang, Dacheng Tao.
Deep Graph Reprogramming.
In CVPR 2023 (Highlight Presentation, top 2.5%).
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Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao.
Learning Graph Neural Networks for Image Style Transfer.
In ECCV 2022.
[Code]
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Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao.
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks.
In ICCV 2021.
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Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao.
Amalgamating Knowledge from Heterogeneous Graph Neural Networks.
In CVPR 2021 (Oral Presentation).
[Code]
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Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao.
Turning Frequency to Resolution: Video Super-resolution via Event Cameras.
In CVPR 2021.
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Yongcheng Jing, Xiao Liu, Yukang Ding, Xinchao Wang, Errui Ding, Mingli Song, Shilei Wen.
Dynamic Instance Normalization for Arbitrary Style Transfer.
In AAAI 2020 (Oral Presentation).
[Code]
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Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Yizhou Yu, Mingli Song.
Neural Style Transfer: A Review.
In TVCG 2019 (ESI Top 1% Highly Cited; TVCG Popular Article).
[Code]
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Yongcheng Jing, Yang Liu, Yezhou Yang, Zunlei Feng, Yizhou Yu, Dacheng Tao, Mingli Song.
Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields.
In ECCV 2018.
[Code]
Academic Activities
- Journal Reviewer: TPAMI, TIP, SPM, TCYB, TCSVT, PR, TMLR, INS, ...
- Conference Reviewer: CVPR, ICCV, ECCV, ICLR, NeurIPS, ICML, AAAI, IJCAI, KDD, ...
Selected Awards
- Outstanding Intern Award, Alibaba Group and AZFT, 2019
- National Scholarship (top 2%), Ministry of Education of China, 2018
- National Scholarship (top 2%), Ministry of Education of China, 2017
- Early Graduate Honor, SCUT, 2016
Working Experience
- Research Intern, JD Explore Academy, 2020 to 2022
- Research Intern, Baidu Research, 2019
- Algorithm Engineer Intern, Alibaba Group, 2018