Zigeng Chen
About Me
I am a first-year Ph.D. student at xML LAB @ National University of Singapore, advised by professor Xinchao Wang. Before joining the xML Lab, I earned my Bachelor’s degree in Communication Engineering from Soochow University and my Master’s degree in Electrical Engineering from the National University of Singapore. My current research interests focus on Efficient Generative AI.
Research Interests
- Efficient AI: model compression, model acceleration, distributed computing.
- Generative Model: diffusion models, large language models, mutimodal models.
- Low-level Vision: computational photography, super-resolution.
News
- [Feb. 2025] One first-auther paper about efficient visual auto-regressive modeling is accepted to CVPR 2025.
- [Sep. 2024] One first-auther paper about distributed acceleration of diffusion model is accepted to NeurIPS 2024.
- [Sep. 2024] One first-auther paper about SAM compression is accepted to NeurIPS 2024.
- [April. 2024] One first-auther paper about learnable ISP is accepted to IJCAI 2024.
Publications
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Arixv
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CVPR
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025). -
NeurIPS
The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024). -
NeurIPS
The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024). -
IJCAI
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI-24).
Services
Conference Reviewers
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) IEEE/CVF International Conference on Computer Vision (ICCV) The International Conference on Machine Learning (ICML) The Neural Information Processing Systems (NeurIPS)
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