Haoning Wu 「吴浩宁」
I am currently a 3rd-year PhD candidate of MediaBrain
at Shanghai Jiao Tong University (SJTU), advised by Prof. Weidi Xie and Prof. Ya Zhang.
Previously, I received my B.S. degree in EE (IEEE Pilot Class) also from SJTU in June 2022.
I'm generally interested in multi-modal learning, especially generative
models, AI4Sports, and AI4Science.
My ultimate goal is to build AGI that aggregates multiple modalities including vision, language, and audio.
I'm always eager to communicate and cooperate, so feel free to contact me!!!
Email: haoningwu3639 at gmail.com WeChat: haoningwu_
Email  / 
CV  / 
Google Scholar
 / 
Github  / 
Zhihu  / 
LinkedIn
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Preprints
* denotes equal contribution, and
† denotes corresponding author.
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MRGen: Segmentation Data Engine for Underrepresented MRI Modalities
Haoning Wu*, Ziheng Zhao*,
Ya Zhang, Yanfeng Wang†,
Weidi Xie†
arXiv, 2024. (NEW)
project page
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arXiv
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code
In this work, we establish a novel paradigm for generative models in medical applications:
controllably synthesizing data for underrepresented modalities.
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Publications
* denotes equal contribution, and
† denotes corresponding author.
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Towards Universal Soccer Video Understanding
Jiayuan Rao*, Haoning Wu*, Hao Jiang, Ya Zhang, Yanfeng Wang†, Weidi Xie†
CVPR, 2025. (NEW)
project page
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arXiv
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code
In this work, we present the first visual-language foundation model tailored for soccer video
understanding, which can be applied various downstream tasks.
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MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation
without
Further Tuning
Haoning Wu*, Shaocheng Shen*, Qiang Hu, Xiaoyun Zhang†, Ya Zhang, Yanfeng Wang
WACV, 2025. (NEW)
project page
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arXiv
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code
In this work, we propose a tuning-free strategy to extend the higher-resolution image
generation
capabilities of existing diffusion models.
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MatchTime: Towards Automatic Soccer Game Commentary Generation
Jiayuan Rao*, Haoning Wu*, Chang Liu, Yanfeng Wang†, Weidi Xie†
EMNLP, 2024. (Oral Presentation)
(NEW)
project page
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arXiv
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code
In this work, we focus on building an visual-language model for automatic soccer game
commentary generation.
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Intelligent Grimm - Open-ended Visual Storytelling via Latent Diffusion
Models
Chang Liu*, Haoning Wu*,
Yujie Zhong, Xiaoyun Zhang, Yanfeng Wang†, Weidi Xie†
CVPR, 2024. (NEW)
project page
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arXiv
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code
In this work, we focus on the task of generating a series of coherent image sequence
based on a given storyline, denoted as open-ended visual storytelling.
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NeRF-SDP: Efficient Generalizable Neural Radiance Field with Scene
Depth
Perception
Qiuwen Wang, Shuai
Guo,
Haoning Wu, Rong Xie, Li Song†, Wenjun
Zhang
ACM Multimedia Asia, 2023. (Oral
Presentation)
paper
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code
In this work, we propose a novel framework, termed as NeRF-SDP, to address the
challenge of balancing rendering speed and quality in generalizable NeRF.
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Boost Video Frame Interpolation via Simple Motion Adaptation
Haoning Wu, Xiaoyun
Zhang†, Weidi Xie, Ya Zhang, Yanfeng Wang†
BMVC, 2023. (Oral
Presentation)
project page
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arXiv
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code
In this work, we propose a novel optimization-based VFI method that can
adapt to
unseen motions at test time and boost existing pre-trained models.
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LAR-SR: A Local Autoregressive Model for Image
Super-Resolution
Baisong Guo*, Xiaoyun
Zhang*†, Haoning Wu, Yu Wang, Ya Zhang, Yanfeng
Wang†
CVPR, 2022.
paper
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code
We propose a novel approach called LAR-SR for super-resolution based on
a
Local AutoRegessive module,
which achieves superior performance compared with other generative models
for
SR.
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Computer Vision and Pattern Recognition (CVPR 2023, 2024, 2025)
International Conference on Computer Vision (ICCV 2023, 2025)
European Conference on Computer Vision (ECCV 2024)
ACM Multimedia (ACM MM 2024, 2025)
British Machine Vision Conference (BMVC 2024) (Outstanding Reviewer)
AAAI Conference on Artificial Intelligence (AAAI 2025)
Association for Computational Linguistics - Student Research Workshop
(ACL-SRW 2025)
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[2024] BMVC 2024
Outstanding Reviewer
[2021] China National Scholarship (for Undergraduates)
[2021] School Scholarship B Prize
[2020] School Scholarship C Prize
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Updated in December. 2024
Thanks Jon Barron for this
amazing
website template.
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