Hi! I’m Ruoxuan Feng (冯若轩, E-mail: fengruoxuan@ruc.edu.cn). I am a third-year master student and will continue pursuing a Ph.D. in GeWu-Lab at Gaoling School of Artificial Intelligence, Renmin University of China. I am advised by Prof. Di Hu. I received my bachelor’s degree from College of Computer Science and Electronic Engineering, Hunan University in 2023. Now my research interests focus on multi-modal emboided AI, enabling robots to perceive and interact with the physical world through vision, audition, touch, and force sensing. If you are interested in my research, please email me at fengruoxuan@ruc.edu.cn.

🔥 News

  • 2025.04:  🎉🎉 One paper accepted by SIGIR, thanks to all co-authors!
  • 2025.02:  🎉🎉 One paper accepted by CVPR, thanks to all co-authors!
  • 2025.01:  🎉🎉 One paper accepted by ICLR, thanks to all co-authors!
  • 2024.09:  🎉🎉 One paper accepted by CoRL, thanks to all co-authors!
  • 2024.07:  🎉🎉 One paper accepted by ECCV, thanks to all co-authors!
  • 2024.02:  🎉🎉 One paper accepted by CVPR, thanks to all co-authors!
  • 2023.02:  🎉🎉 One paper accepted by ICASSP, thanks to all co-authors!

📝 Publications

CVPR 2025
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Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction

Wenke Xia, Ruoxuan Feng, Dong Wang, Di Hu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2025

[Paper] | [Code] | [Project]

ICLR 2025
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AnyTouch: Learning Unified Static-Dynamic Representation across Multiple Visuo-tactile Sensors

Ruoxuan Feng, Jiangyu Hu, Wenke Xia, Tianci Gao, Ao Shen, Yuhao Sun, Bin Fang, Di Hu

International Conference on Learning Representations (ICLR) 2025

[Paper] | [Code] | [Project]

CoRL 2024
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Play to the Score: Stage-Guided Dynamic Multi-Sensory Fusion for Robotic Manipulation

Oral Presentation

Ruoxuan Feng, Di Hu, Wenke Ma, Xuelong Li

Conference on Robot Learning (CoRL) 2024

[Paper] | [Code] | [Project]

SIGIR 2025
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MGIPF: Multi-Granularity Interest Prediction Framework for Personalized Recommendation

Ruoxuan Feng*, Zhen Tian*, Qiushi Peng, Jiaxin Mao, Xin Zhao, Di Hu, Changwang Zhang

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2025

[Paper] | [Code]

ECCV 2024
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Diagnosing and Re-learning for Balanced Multimodal Learning

Yake Wei, Siwei Li, Ruoxuan Feng, Di Hu

European Conference on Computer Vision (ECCV) 2024

[Paper] | [Code]

CVPR 2024
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Enhancing Multimodal Cooperation via Sample-level Modality Valuation

Yake Wei, Ruoxuan Feng, Zihe Wang, Di Hu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024

[Paper] | [Code]

ICASSP 2023
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MMCosine: Multi-Modal Cosine Loss Towards Balanced Audio-Visual Fine-Grained Learning

Ruize Xu, Ruoxuan Feng, Shi-xiong Zhang, Di Hu

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

[Paper] | [Code] | [Project]

📝 Preprint

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Revisiting Pre-training in Audio-Visual Learning

Ruoxuan Feng, Wenke Xia, Di Hu

arXiv 2302.03533

[Paper] | [Code]

💻 Internships

  • 2025.05 - now, Beijing Academy of Artificial Intelligence (BAAI), Beijing.

📖 Educations

  • 2023.09 - now, Master, Gaoling School of Artificial Intelligence, Renmin University of China.
  • 2019.09 - 2023.06, Undergraduate, College of Computer Science and Electronic Engineering, Hunan University.

🎖 Honors and Awards

  • 2023.06 Outstanding graduate of Hunan University.
  • 2020.12 National Scholarship.