Ye Chen (陈烨)

Ye Chen (陈烨)

PhD student @ SJTU

Brief Bio

Hi, there! This is Ye Chen, a first-year PhD student advised by Prof. Bingbing Ni from School of SEIEE, Shanghai Jiao Tong University. Previously, I received Master and Bachelor degree from the same university with honor, supervised by Prof. Ning Liu and Prof. Bingbing Ni. I have published several papers on leading journals and conferences, e.g., CVPR, ICCV, AAAI, and T-PAMI. My research interest lies in the intersection between Graphics, Computer Vision, and Machine Learning, especially includes 2D/3D AIGC and AI for Physics.

Google Scholar / E-mail / Github

News

[2024/10] I am very honored to be awarded the National PhD Scholarship!
[2024/07] One paper on Stroke Based Rendering is accepted to ACMMM 2024!
[2024/02] Two papers on Image Vectorization and Vector Graphics Generation are accepted to CVPR 2024! See you in Seattle!
[2023/09] Start my PhD journey with Prof. Bingbing Ni!
[2023/07] One paper on Image Vectorization is accepted to ICCV 2023!
[2023/04] Journal version of SSC for unsupervised point cloud learning is publised in T-PAMI!
[2023/03] Obtain master degree with Shanghai Outstanding Graduates from SJTU!
[2021/07] One paper(SSC) on Self-Supervised Point Cloud Learning is accepted to ICCV 2021!

Selected Publications

Towards High-fidelity Artistic Image Vectorization via Texture-Encapsulated Shape Parameterization

Ye Chen, Bingbing Ni, Jinfan Liu, Xiaoyang Huang, Xuanhong Chen.
Published in CVPR, 2024. [Paper]

Vector Graphics Generation via Mutually Impulsed Dual-domain Diffusion

Zhongyin Zhao, Ye Chen, Zhangli Hu, Xuanhong Chen, Bingbing Ni.
Published in CVPR, 2024. [Paper]

Editable Image Geometric Abstraction via Neural Primitive Assembly

Ye Chen, Bingbing Ni, Xuanhong Chen, Zhangli Hu.
Published in ICCV, 2023. [Paper]

Inferring Fluid Dynamics via Inverse Rendering

Jinxian Liu*, Ye Chen*, Bingbing Ni, Jiyao Mao, Zhenbo Yu. (* equal contribution)
Preprint, Arxiv, 2023. [Paper]

Fast Fluid Simulation via Dynamic Multi-Scale Gridding

Jinxian Liu, Ye Chen, Bingbing Ni, Wei Ren, Zhenbo Yu, Xiaoyang Huang.
Published in AAAI, 2023. [Paper]

Learning by Restoring Broken 3D Geometry

Jinxian Liu, Bingbing Ni, Ye Chen, Zhenbo Yu, Hang Wang.
Published in T-PAMI, 2023. [Paper]

Joint Global and Dynamic Pseudo Labeling for Semi-Supervised Point Cloud Sequence Segmentation

Jinxian Liu, Ye Chen, Bingbing Ni, Zhenbo Yu.
Published in T-CSVT, 2023. [Paper]

Shape self-correction for unsupervised point cloud understanding

Ye Chen, Jinxian Liu, Bingbing Ni, Hang Wang, Jiancheng Yang, Ning Liu, Teng Li, Qi Tian.
Published in ICCV, 2021. [Paper]

Self-prediction for joint instance and semantic segmentation of point clouds

Jinxian Liu, Minghui Yu, Bingbing Ni, Ye Chen.
Published in ECCV, 2020. [Paper]

Selected Honors

[2024] National PhD Scholarship (博士生国家奖学金).
[2023] Shanghai Outstanding Graduates (上海市优秀毕业生).
[2022] NRIEE Scholarship (中国电子科技集团莱斯奖学金).
[2020] Shanghai Jiao Tong University Outstanding Graduates.
[2016] Shanghai Jiao Tong University Zhiyuan Honor Class.
[2015] First Prize in the National High School Physics Competition.