Zhixuan Li

Zhixuan Li

I’m now a 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:
    • Climate Change Forecasting and Time-Series Analysis

🔥 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.

arXiv 2025
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BEAT: Balanced Frequency Adaptive Tuning for Long-Term Time-Series Forecasting

Zhixuan Li, Naipeng Chen, Seonghwa Choi, Sanghoon Lee, Weisi Lin

arXiv, 2025

Paper / Bibtex

AAAI 2024
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BLADE: Box-Level Supervised Amodal Segmentation through Directed Expansion

Zhaochen Liu*, Zhixuan Li*, Tingting Jiang

AAAI Conference on Artificial Intelligence (AAAI), 2024 (EI, CCF A)

Paper / Bibtex

TMM 2023
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GIN: Generative INvariant Shape Prior for Amodal Instance Segmentation

Zhixuan Li, Weining Ye, Tingting Jiang, Tiejun Huang

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

Paper / Bibtex

ICCV 2023
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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

International Conference on Computer Vision (ICCV), 2023 (EI, CCF A)

Paper / Bibtex / Project Page

ICASSP 2023
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OAFormer: Learning Occlusion Distinguishable Feature for Amodal Instance Segmentation

Zhixuan Li, Ruohua Shi, Tiejun Huang, Tingting Jiang

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023 (EI, CCF B)

Paper / Bibtex

ECCV 2022
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2D Amodal Instance Segmentation Guided by 3D Shape Prior

Zhixuan Li, Weining Ye, Tingting Jiang, Tiejun Huang

European Conference on Computer Vision (ECCV), 2022 (EI, CCF B)

Paper / Bibtex

ACCV 2024
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VIPNet: Combining Viewpoint Information and Shape Priors for Instant Multi-View 3D Reconstruction

Weining Ye, Zhixuan Li, Tingting Jiang

Asian Conference on Computer Vision (ACCV), 2024 (EI, CCF C)

Paper

Frontiers 2022
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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=3.2, JCR Q2)

Paper

ICTAI 2017
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Using deep learning for community discovery in social networks

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

International Conference on Tools with Artificial Intelligence (ICTAI), 2017 (EI, CCF C)

Paper

🎯 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, ICCV, ECCV, AAAI, ICLR, ACM MM, ICASSP, ICPR

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

Last Update: 31 Jan, 2025