Xinyu Mu

According to our database, Xinyu Mu authored at least 10 papers between 2023 and 2026.

Collaborative distances:

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

2026

OmniRAG-Agent: Agentic Omnimodal Reasoning for Low-Resource Long Audio-Video Question Answering.

Yifan Zhu, Xinyu Mu, Tao Feng, Zhonghong Ou, Yuning Gong, Haoran Luo

CoRR, February, 2026

Refinement-Guided Critique Learning: A Framework for Training Critique Models.

Chao Xiang, Junhao Zheng, Xinyu Mu, Tianshu Yu, Li Zhang, Chuxiong Sun, Lijuan Shi, Feng Wang, Mingchuan Yang

Inf. Fusion, 2026

2025

ConceptFlow: Hierarchical and Fine-grained Concept-Based Explanation for Convolutional Neural Networks.

Xinyu Mu, Hui Dou, Furao Shen, Jian Zhao

CoRR, September, 2025

KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search.

Haoran Luo, Haihong E, Yikai Guo, Qika Lin, Xiaobao Wu, Xinyu Mu, Wenhao Liu, Meina Song, Yifan Zhu, Anh Tuan Luu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

SAMDiffusion: Semantic Segmentation with Diffusion Model and Segmentation Anything Model.

Yihao Wang, Xinyu Mu, Peixiang Liu, Zihao Zhang, Zhiyi Wang, Xiaoming Huang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Training Language Model to Critique for Better Refinement.

Tianshu Yu, Chao Xiang, Mingchuan Yang, Pei Ke, Bosi Wen, Cunxiang Wang, Jiale Cheng, Li Zhang, Xinyu Mu, Chuxiong Sun, Minlie Huang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Decision-Making for Autonomous Vehicles in Random Task Scenarios at Unsignalized Intersection Using Deep Reinforcement Learning.

Wenxuan Xiao, Yuyou Yang, Xinyu Mu, Yi Xie, Xiaolin Tang, Dongpu Cao, Teng Liu

IEEE Trans. Veh. Technol., June, 2024

Power generation device based on spring oscillator system.

Wenchao Xue, Zhiming Liu, Xinyu Mu, Tao Zhang

IEICE Electron. Express, 2024

Explaining Model Overfitting in CNNs via GMM Clustering.

Hui Dou, Xinyu Mu, Mengjun Yi, Feng Han, Jian Zhao, Furao Shen

CoRR, 2024

2023

Understanding neural network through neuron level visualization.

Hui Dou, Furao Shen, Jian Zhao, Xinyu Mu

Neural Networks, November, 2023