Ruoxuan Feng

According to our database, Ruoxuan Feng authored at least 9 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

MGIPF: Multi-Granularity Interest Prediction Framework for Personalized Recommendation.

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

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Wenke Xia, Ruoxuan Feng, Dong Wang, Di Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Diagnosing and Re-learning for Balanced Multimodal Learning.

Yake Wei, Siwei Li, Ruoxuan Feng, Di Hu

Proceedings of the Computer Vision - ECCV 2024, 2024

Enhancing Multimodal Cooperation via Sample-Level Modality Valuation.

Yake Wei, Ruoxuan Feng, Zihe Wang, Di Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Ruoxuan Feng, Di Hu, Wenke Ma, Xuelong Li

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

Enhancing Multi-modal Cooperation via Fine-grained Modality Valuation.

Yake Wei, Ruoxuan Feng, Zihe Wang, Di Hu

CoRR, 2023

Revisiting Pre-training in Audio-Visual Learning.

Ruoxuan Feng, Wenke Xia, Di Hu

CoRR, 2023

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

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

Proceedings of the IEEE International Conference on Acoustics, 2023