MMCosine: Multi-Modal Cosine Loss Towards Balanced Audio-Visual Fine-Grained Learning. - Ruize Xu; Ruoxuan Feng; Shi-Xiong Zhang 001; Di Hu 001 (ICASSP, 2023)

Revisiting Pre-training in Audio-Visual Learning. - Ruoxuan Feng; Wenke Xia; Di Hu 001 (CoRR, 2023)

Enhancing Multi-modal Cooperation via Fine-grained Modality Valuation. - Yake Wei; Ruoxuan Feng; Zihe Wang 001; Di Hu 001 (CoRR, 2023)

Play to the Score: Stage-Guided Dynamic Multi-Sensory Fusion for Robotic Manipulation. - Ruoxuan Feng; Di Hu 001; Wenke Ma; Xuelong Li 001 (CoRL, 2024)

Enhancing Multimodal Cooperation via Sample-Level Modality Valuation. - Yake Wei; Ruoxuan Feng; Zihe Wang 001; Di Hu 001 (CVPR, 2024)

Diagnosing and Re-learning for Balanced Multimodal Learning. - Yake Wei; Siwei Li; Ruoxuan Feng; Di Hu 001 (ECCV (64), 2024)

Phoenix: A Motion-based Self-Reflection Framework for Fine-grained Robotic Action Correction. - Wenke Xia; Ruoxuan Feng; Dong Wang 028; Di Hu 001 (CVPR, 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 001 (ICLR, 2025)

MGIPF: Multi-Granularity Interest Prediction Framework for Personalized Recommendation. - Ruoxuan Feng; Zhen Tian 001; Qiushi Peng; Jiaxin Mao; Wayne Xin Zhao; Di Hu 001; Changwang Zhang (SIGIR, 2025)