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 Prof. Pengfei Zhu and Prof. Di Jin.

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

• Computer Vision:
  • Complex Occlusion Scene Understanding, Amodal Segmentation
• AI for Science:
  • Time-Series Analysis for Climate, Financial and Electricity Data
  • Climate Change Forecasting

🔥 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

📝 Selected 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 / Bibtex / Project Page

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

🎯 Projects

• Awesome Mixture-of-Experts list: Github Link
  • This project is a collection of papers and codes about Mixture-of-Experts. We hope to provide a comprehensive and up-to-date resource for researchers and practitioners in this field.

📖 Experience

• 2024.03 - Present: 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
  • Journals: IEEE TNNLS, IEEE TCSVT, ACM JATS, JVCI
  • Conferences: CVPR, ECCV, AAAI, ICLR, ACM MM, ICASSP, ICPR

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

Last Update: 10 August, 2024