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2020 – today
- 2025
[j9]Zihan Guo
, Xingyu Mu, Chao Chang, Weijie Cheng, Xincheng Tian:
An enhanced framework for small object detection with middle-order interaction and adaptive cross-scale aggregation. Eng. Appl. Artif. Intell. 159: 111730 (2025)- [j8]Xinyu Zhu, Denglu Lu, Yang Wu, Yanqi Lu, Liang He, Yanyun Deng, Xingyu Mu, Wei Fu:
An interpretable machine learning model for predicting bone marrow invasion in patients with lymphoma via 18F-FDG PET/CT: a multicenter study. BMC Medical Informatics Decis. Mak. 25(1): 264 (2025) - [j7]Xingyu Mu, Quanmin Kan, Yong Jiang, Chao Chang, Xincheng Tian, Lelai Zhou, Yongguo Zhao:
3D Vision robot online packing platform for deep reinforcement learning. Robotics Comput. Integr. Manuf. 94: 102941 (2025) - [j6]Chang Chao, Xingyu Mu, Zihan Guo, Yujie Sun, Xincheng Tian, Fang Yong:
IAMF-YOLO: Metal Surface Defect Detection Based on Improved YOLOv8. IEEE Trans. Instrum. Meas. 74: 1-17 (2025) - 2024
- [c2]Shukun Jin, Xingyu Mu:
Wireless sensor health state analysis under perturbation. ICBASE 2024: 799-805 - [i5]Qianwen Xing, Chang Yu, Sining Huang, Qi Zheng, Xingyu Mu, Mengying Sun:
Enhanced Credit Score Prediction Using Ensemble Deep Learning Model. CoRR abs/2410.00256 (2024) - 2023
- [j5]Zhi Liu, Xingyu Mu, Yunhua Lu, Tingting Zhang, Yingli Tian:
Learning transformer-based attention region with multiple scales for occluded person re-identification. Comput. Vis. Image Underst. 229: 103652 (2023) - [j4]Yunhua Lu, Mingzi Jiang, Zhi Liu, Xingyu Mu:
Dual-branch adaptive attention transformer for occluded person re-identification. Image Vis. Comput. 131: 104633 (2023) - [c1]Qianxi Zhang, Gang Wang, Yat Ming Loo, Xinkai Wang, Xiumin Xia, Xingyu Mu:
Analyzing Children's Behaviors Based on AI Recognition Approach to Promote Child-Friendly School-to-Home Street Design. ICCSE (2) 2023: 3-13 - 2022
- [j3]Zhi Liu, Xingyu Mu, Shidu Dong, Yunhua Lu, Mingzi Jiang:
Constructing Adaptive Multi-Scale Feature via Transformer-Aware Patch for Occluded Person Re-Identification. Symmetry 14(7): 1454 (2022) - [j2]Hong Shu, Teng Liu, Xingyu Mu, Dongpu Cao:
Driving Tasks Transfer Using Deep Reinforcement Learning for Decision-Making of Autonomous Vehicles in Unsignalized Intersection. IEEE Trans. Veh. Technol. 71(1): 41-52 (2022) - 2020
- [j1]Jiangdong Liao, Teng Liu, Xiaolin Tang, Xingyu Mu, Bing Huang, Dongpu Cao:
Decision-Making Strategy on Highway for Autonomous Vehicles Using Deep Reinforcement Learning. IEEE Access 8: 177804-177814 (2020) - [i4]Teng Liu, Xingyu Mu, Xiaolin Tang, Bing Huang, Hong Wang, Dongpu Cao:
Dueling Deep Q Network for Highway Decision Making in Autonomous Vehicles: A Case Study. CoRR abs/2007.08343 (2020) - [i3]Jiangdong Liao, Teng Liu, Xiaolin Tang, Xingyu Mu, Bing Huang, Dongpu Cao:
Decision-making Strategy on Highway for Autonomous Vehicles using Deep Reinforcement Learning. CoRR abs/2007.08691 (2020) - [i2]Teng Liu, Bing Huang, Xingyu Mu, Fuqing Zhao, Xiaolin Tang, Dongpu Cao:
A Comparative Analysis of Deep Reinforcement Learning-enabled Freeway Decision-making for Automated Vehicles. CoRR abs/2008.01302 (2020) - [i1]Teng Liu, Xingyu Mu, Bing Huang, Yi Xie, Dongpu Cao:
Driving Tasks Transfer in Deep Reinforcement Learning for Decision-making of Autonomous Vehicles. CoRR abs/2009.03268 (2020)
Coauthor Index
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