Iām now a Research Fellow in College of Computing and Data Science (CCDS) of 
Nanyang Technological University, collaborating with Prof. Weisi Lin. I received my Ph.D. degree at National Engineering Research Center of Visual Technology (NERCVT) , 
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:
- AI for Science:
- AI for Climate Change Forecasting and Time-Series Analysis
- AI for Earth Observation and Remote Sensing
- Computer Vision:
- Complex Occlusion Scene Understanding, Amodal Segmentation
- Vision-Language Models for Visual Reasoning
š Selected Publications
Shape Distribution Matters: Shape-specific Mixture-of-Experts for Amodal Segmentation under Diverse Occlusions
Zhixuan Li, Yujia Liu, Chen Hui, Jeonghaeng Lee, Sanghoon Lee, Weisi Lin
arXiv, 2025
Paper / Bibtex / Project Page
Single Point, Full Mask: Velocity-Guided Level Set Evolution for End-to-End Amodal Segmentation
Zhixuan Li, Yujia Liu, Chen Hui, Chenyue Song, Weisi Lin
arXiv, 2025
Paper / Bibtex / Project Page
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
Unveiling the Invisible: Reasoning Complex Occlusions Amodally with AURA
Zhixuan Li, Hyunse Yoon, Sanghoon Lee, Weisi Lin
International Conference on Computer Vision (ICCV), 2025 (EI, CCF A)
Paper / Bibtex / Project Page
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
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
Q-CLIP: Unleashing the Power of Vision-Language Models for Video Quality Assessment through Unified Cross-Modal Adaptation
Yachun Mi, Yu Li, Yanting Li, Chen Hui, Tong Zhang, Zhixuan Li, Chenyue Song, Wei Yang Bryan Lim, Shaohui Liu
International Conference on Machine Learning (ICML), 2026 (CCF A)
DipGuava: Disentangling Personalized Gaussian Features for 3D Head Avatars from Monocular Video
Jeonghaeng Lee, Seok Keun Choi, Zhixuan Li, Weisi Lin, Sanghoon Lee
AAAI Conference on Artificial Intelligence (AAAI), 2026 (EI, CCF A)
LVPNet: A Latent-variable-based Prediction-driven End-to-end Framework for Lossless Compression of Medical Images
Chenyue Song, Chen Hui, Qing Lin, Wei Zhang, Siqiao Li, Shengping Zhang, Haiqi Zhu, Zhixuan Li, Shaohui Liu, Feng Jiang, Xiang Li
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025 (EI, CCF B)
š 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.
š» 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