Yongcheng Jing

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

• Yongcheng Jing, Chongbin Yuan, Li Ju, Yiding Yang, Xinchao Wang, Dacheng Tao. Deep Graph Reprogramming. In CVPR 2023 (Highlight Presentation, top 2.5%).
• 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]
• Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao. Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks. In ICCV 2021.
• Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao. Amalgamating Knowledge from Heterogeneous Graph Neural Networks. In CVPR 2021 (Oral Presentation). [Code]
• Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao. Turning Frequency to Resolution: Video Super-resolution via Event Cameras. In CVPR 2021.
• 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]
• 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]
• 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