I’m now a Postdoctoral Research Fellow in College of Computing and Data Science of Nanyang Technological University, supervised by Prof. Weisi Lin. I received my Ph.D. degree at National Engineering Research Center of Visual Technology, Peking University in 2023, supervised by Prof. Tiejun Huang and Assoc. Prof. Tingting Jiang. I received my B.E. degree from Tianjin University in 2018, supervised by Assoc. Prof. Pengfei Zhu and Prof. Di Jin.

My research interests include Artificial Intelligence, Computer Vision and Deep Learning, especially in the fields of :

• Time-Series Analysis for Climate, Financial and Electricity Data,
• Human Mesh Estimation, Segmentation, and 2D/3D Object Detection.

🔥 News

• 2023.12: One paper is accepted by AAAI 2024
• 2023.09: One paper is accepted by IEEE TMM
• 2023.07: One paper is accepted by ICCV 2023
• 2023.07: Congratulations on obtaining the Ph.D. degree from Peking University
• 2023.02: One paper is accepted by ICASSP 2023
• 2022.07: One paper is accepted by ECCV 2022

📝 Publications

The * means equal contribution.

AAAI 2024

BLADE: Box-Level Supervised Amodal Segmentation through Directed Expansion

Zhaochen Liu*, Zhixuan Li*, Tingting Jiang

AAAI, 2024 (EI, CCF A)

paper / bibtex

TMM 2023

GIN: Generative INvariant Shape Prior for Amodal Instance Segmentation

Zhixuan Li, Weining Ye, Tingting Jiang, Tiejun Huang

IEEE TMM, 2023 (SCI, IF=7.3, JCR Q1, CCF B)

paper / bibtex

ICCV 2023

MUVA: A New Large-Scale Benchmark for Multi-view Amodal Instance Segmentation

in the Shopping Scenario

Zhixuan Li, Weining Ye, Juan Terven, Zachary Bennett, Ying Zheng, Tingting Jiang, Tiejun Huang

ICCV, 2023 (EI, CCF A)

paper / project / bibtex

ICASSP 2023

OAFormer: Learning Occlusion Distinguishable Feature for Amodal Instance Segmentation

Zhixuan Li, Ruohua Shi, Tiejun Huang, Tingting Jiang

ICASSP, 2023 (EI, CCF B)

paper / bibtex

ECCV 2022

2D Amodal Instance Segmentation Guided by 3D Shape Prior

Zhixuan Li, Weining Ye, Tingting Jiang, Tiejun Huang

ECCV, 2022 (EI, CCF B)

paper / bibtex

Frontiers 2022

U-RISC: An Annotated Ultra-High-Resolution Electron Microscopy Dataset Challenging
the Existing Deep Learning Algorithms

Ruohua Shi*, Wenyao Wang*, Zhixuan Li, Liuyuan He, Kaiwen Sheng,
Lei Ma, Kai Du, Tingting Jiang, Tiejun Huang

Frontiers in Computational Neuroscience, 2022 (SCI, IF=3.387)

paper / bibtex

ICTAI 2017

Using Deep Learning for Community Discovery in Social Networks

Di Jin, Meng Ge, Zhixuan Li, Wenhuan Lu, Dongxiao He, Francoise Fogelman-Soulie

ICTAI, 2017 (EI, CCF C)

paper / bibtex

📖 Experience

• 2024.03 - Present: Postdoctoral Research Fellow, College of Computing and Data Science, Nanyang Technological University, Singapore.
• 2018.09 - 2023.07: Doctor of Philosophy, School of Computer Science, Peking University, Beijing, China.
• 2014.09 - 2018.07: Bachelor of Engineering, School of Computer Science, Tianjin University (Outstanding Graduates), Tianjin, China.

💻 Service

• Reviewer for
  • Journal: ACM JATS, JVCI, IEEE TNNLS
  • Conference: ICASSP 2024, CVPR 2024, ACM MM 2024, ECCV 2024

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Contact: zhixuan.li at ntu.edu.sg, zhixuanli520 at gmail.com

Last Update: 3 May, 2024

Thanks for the template of Yi Ren