Ruoxuan Feng

According to our database, Ruoxuan Feng authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

AnyTouch 2: General Optical Tactile Representation Learning For Dynamic Tactile Perception.

Ruoxuan Feng, Yuxuan Zhou, Siyu Mei, Dongzhan Zhou, Pengwei Wang, Shaowei Cui, Bin Fang, Guocai Yao, Di Hu

CoRR, February, 2026

2025

RoboCOIN: An Open-Sourced Bimanual Robotic Data COllection for INtegrated Manipulation.

Shihan Wu, Xuecheng Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang Yang, You Liu, Ruoxuan Feng, Runtian Xu, Lei Zhang, Denghang Huang, Chenghao Jin, Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang, Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie, Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian, Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong, He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang, Yonghua Lin, Zhongyuan Wang, Guocai Yao

CoRR, November, 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