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Chenrui Wu
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Journal Articles
- 2024
- [j10]Shiqing Wu, Jialin Tao, Chenrui Wu, Long Chen:
Low-overlap point cloud registration algorithm based on coupled iteration. Vis. Comput. 40(5): 3151-3162 (2024) - 2023
- [j9]Chenrui Wu, Yifei Zhu, Rongyu Zhang, Yun Chen, Fangxin Wang, Shuguang Cui:
FedAB: Truthful Federated Learning With Auction-Based Combinatorial Multi-Armed Bandit. IEEE Internet Things J. 10(17): 15159-15170 (2023) - [j8]Rongyu Zhang, Yun Chen, Chenrui Wu, Fangxin Wang, Jiangchuan Liu:
Optimizing Efficient Personalized Federated Learning with Hypernetworks at Edge. IEEE Netw. 37(4): 120-126 (2023) - [j7]Chenrui Wu, Long Chen, Shenglong Wang, Han Yang, Junjie Jiang:
Geometric-aware dense matching network for 6D pose estimation of objects from RGB-D images. Pattern Recognit. 137: 109293 (2023) - [j6]Junjie Jiang, Zaixing He, Xinyue Zhao, Shuyou Zhang, Chenrui Wu, Yang Wang:
REG-Net: Improving 6DoF Object Pose Estimation With 2D Keypoint Long-Short-Range-Aware Registration. IEEE Trans. Ind. Informatics 19(1): 328-338 (2023) - 2022
- [j5]Junjie Jiang, Zaixing He, Xinyue Zhao, Shuyou Zhang, Chenrui Wu, Yang Wang:
MLFNet: Monocular lifting fusion network for 6DoF texture-less object pose estimation. Neurocomputing 504: 16-29 (2022) - [j4]Long Chen, Han Yang, Chenrui Wu, Shiqing Wu:
MP6D: An RGB-D Dataset for Metal Parts' 6D Pose Estimation. IEEE Robotics Autom. Lett. 7(3): 5912-5919 (2022) - [j3]Chenrui Wu, Long Chen, Zaixing He, Junjie Jiang:
Pseudo-Siamese Graph Matching Network for Textureless Objects' 6-D Pose Estimation. IEEE Trans. Ind. Electron. 69(3): 2718-2727 (2022) - 2020
- [j2]Zaixing He, Zhiwei Jiang, Xinyue Zhao, Shuyou Zhang, Chenrui Wu:
Sparse Template-Based 6-D Pose Estimation of Metal Parts Using a Monocular Camera. IEEE Trans. Ind. Electron. 67(1): 390-401 (2020) - 2019
- [j1]Zaixing He, Chenrui Wu, Shuyou Zhang, Xinyue Zhao:
Moment-Based 2.5-D Visual Servoing for Textureless Planar Part Grasping. IEEE Trans. Ind. Electron. 66(10): 7821-7830 (2019)
Conference and Workshop Papers
- 2024
- [c4]Chenrui Wu, Haishuai Wang, Xiang Zhang, Zhen Fang, Jiajun Bu:
Spatio-temporal Heterogeneous Federated Learning for Time Series Classification with Multi-view Orthogonal Training. ACM Multimedia 2024: 2613-2622 - 2023
- [c3]Rongyu Zhang, Yun Chen, Chenrui Wu, Fangxin Wang:
Cluster-driven GNN-based Federated Recommendation with Biased Message Dropout. ICME 2023: 594-599 - [c2]Chenrui Wu, Zexi Li, Fangxin Wang, Chao Wu:
Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients. ICME 2023: 660-665 - 2017
- [c1]Xiaojian Liu, Chenrui Wu, Lemiao Qiu, Yang Wang, Shuyou Zhang:
A geometric errors analysis method integrated clamping error and wear out error over working space. CASE 2017: 656-661
Informal and Other Publications
- 2024
- [i3]Rongyu Zhang, Yun Chen, Chenrui Wu, Fangxin Wang, Bo Li:
Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Data. CoRR abs/2405.06413 (2024) - [i2]Boyu Fan, Chenrui Wu, Xiang Su, Pan Hui:
FedTSA: A Cluster-based Two-Stage Aggregation Method for Model-heterogeneous Federated Learning. CoRR abs/2407.05098 (2024) - 2023
- [i1]Chenrui Wu, Zexi Li, Fangxin Wang, Chao Wu:
Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients. CoRR abs/2304.02892 (2023)
Coauthor Index
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