Iā€™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

šŸ“ Selected Publications

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Unveiling the Invisible: Reasoning Complex Occlusions Amodally with AURA

Zhixuan Li, Hyunse Yoon, Sanghoon Lee, Weisi Lin

arXiv, 2025

Paper / Bibtex / Project Page

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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 / Project Page

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BLADE: Box-Level Supervised Amodal Segmentation through Directed Expansion

Zhaochen Liu*, Zhixuan Li*, Tingting Jiang (* Equal Contribution)

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

Paper / Bibtex

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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

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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

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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 / Project Page

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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

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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 / Bibtex

šŸŽÆ 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.

šŸ“– 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.

šŸ’» Service

Journal Reviewer

  • IEEE TNNLS, IEEE TCSVT, ACM JATS, JVCI, IMAVIS

Conference Reviewer

  • CVPR, ICCV, ECCV, AAAI, ICLR, ACM MM, ICASSP, ICPR

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