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2020 – today
- 2024
[j8]Mingwei Fang
, Zhiping Tan, Yu Tang, Weizhao Chen, Huasheng Huang, Sathian Dananjayan, Yong He, Shaoming Luo:
Pest-ConFormer: A hybrid CNN-Transformer architecture for large-scale multi-class crop pest recognition. Expert Syst. Appl. 255: 124833 (2024)- [c16]Weizhao Chen, Jiawang Wan, Fangwen Ye, Ran Wang, Cheng Xu:
QMARL: A Quantum Multi-Agent Reinforcement Learning Framework for Swarm Robots Navigation. ICASSP Workshops 2024: 388-392 - 2022
- [j7]Yu Tang, Jinfei Zhao, Huasheng Huang, Jiajun Zhuang, Zhiping Tan, Chaojun Hou, Weizhao Chen, Jinchang Ren:
Multiscale voting mechanism for rice leaf disease recognition under natural field conditions. Int. J. Intell. Syst. 37(12): 12169-12191 (2022) - [j6]Huasheng Huang, Yu Tang, Zhiping Tan, Jiajun Zhuang, Chaojun Hou, Weizhao Chen, Jinchang Ren:
Object-Based Attention Mechanism for Color Calibration of UAV Remote Sensing Images in Precision Agriculture. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [c15]Jiawang Wan, Cheng Xu, Weizhao Chen, Xiaotong Zhang:
Diversity-preserving quantum-enhanced particle filter for abrupt-motion tracking. ICC 2022: 3263-3268 - [c14]Wenbai Chen, Guohong Yi, Huixiang Liu, Qili Chen, Weizhao Chen, Peiliang Wu:
Fast classification of indoor functional areas based on a pre-trained lightweight network. ICDIS 2022: 344-349 - 2021
- [j5]Wenbai Chen, Chang Liu, Weizhao Chen, Huixiang Liu, Qili Chen, Peiliang Wu:
A Prediction Method for the RUL of Equipment for Missing Data. Complex. 2021: 2122655:1-2122655:10 (2021) - [j4]Wenbai Chen, Chao He, Weizhao Chen, Qili Chen, Peiliang Wu:
A New Semantic-Based Tool Detection Method for Robots. Int. J. Comput. Commun. Control 16(2) (2021) - [c13]Zexin Jiang, Hang Ma, Wenbai Chen, Weizhao Chen, Tianxu Tong, Xibao Wu:
Research on Pedestrian Re-identification Method Based on Visual Attention Mechanism. CCIS 2021: 305-309 - 2020
- [j3]Weizhao Chen, Zhijing Yang, Jinchang Ren, Jiang-Zhong Cao, Nian Cai, Huimin Zhao, Peter W. T. Yuen:
MIMN-DPP: Maximum-information and minimum-noise determinantal point processes for unsupervised hyperspectral band selection. Pattern Recognit. 102: 107213 (2020) - [c12]Weizhao Chen, Wenbai Chen, Chao He, Nan Liu, Peiliang Wu, Haobin Shi:
Research on Classification and Detection System of Common Household Tools for Home Service Robot. ICSSE 2020: 1-5
2010 – 2019
- 2019
- [j2]Weizhao Chen, Zhijing Yang, Faxian Cao, Yijun Yan, Meilin Wang, Chunmei Qing, Yongqiang Cheng:
Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images. IET Image Process. 13(2): 299-306 (2019) - [j1]Faxian Cao, Zhijing Yang, Jinchang Ren, Weizhao Chen, Guojun Han, Yuzhen Shen:
Local Block Multilayer Sparse Extreme Learning Machine for Effective Feature Extraction and Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 57(8): 5580-5594 (2019) - [c11]Ximing Li, Weizhao Chen, Yubin Guo, Sha Ma, Qiong Huang:
Secure, Efficient and Searchable File System on Distributed Clouds. ICPCSEE (2) 2019: 246-266 - [c10]Zixuan Huang, Yuan Chang, Weizhao Chen, Qiwei Shen, Jianxin Liao:
ResidualDenseNetwork: A Simple Approach for Video Person Identification. ACM Multimedia 2019: 2521-2525 - [c9]Yuan Chang, Zixuan Huang, Weizhao Chen, Qiwei Shen:
Gastrointestinal Tract Diseases Detection with Deep Attention Neural Network. ACM Multimedia 2019: 2568-2572 - 2018
- [c8]Zhijing Yang, Weizhao Chen, Yijun Yan, Faxian Cao, Nian Cai:
Unsupervised Hyperspectral Band Selection Based on Maximum Information Entropy and Determinantal Point Process. BICS 2018: 352-361 - [c7]Zhijing Yang, Faxian Cao, Jaime Zabalza, Weizhao Chen, Jiang-Zhong Cao:
Spectral and Spatial Kernel Extreme Learning Machine for Hyperspectral Image Classification. BICS 2018: 394-401 - [c6]Liang Bao, Xin Liu, Weizhao Chen:
Learning-based Automatic Parameter Tuning for Big Data Analytics Frameworks. IEEE BigData 2018: 181-190 - [c5]Ximing Li, Weizhao Chen, Yubin Guo, Senyang Zhang, Qiong Huang:
Secure File Storage System Among Distributed Public Clouds. ICCCS (3) 2018: 277-289 - [c4]Liang Bao, Chase Q. Wu, Haiyang Qi, Weizhao Chen, Xin Zhang, Weina Han, Wei Wei, En Tail, Hao Wang, Jiahao Zhai, Xiang Chen:
LAS: Logical-Block Affinity Scheduling in Big Data Analytics Systems. INFOCOM 2018: 522-530 - [i1]Liang Bao, Xin Liu, Weizhao Chen:
Learning-based Automatic Parameter Tuning for Big Data Analytics Frameworks. CoRR abs/1808.06008 (2018) - 2017
- [c3]Liang Bao, Shanshan Wu, Weizhao Chen, Zisheng Zhu, Fan Yi:
Trajectory outlier detection based on partition-and-detection framework. ICNC-FSKD 2017: 1978-1983 - [c2]Shanshan Wu, Liang Bao, Zisheng Zhu, Fan Yi, Weizhao Chen:
Storage and retrieval of massive heterogeneous IoT data based on hybrid storage. ICNC-FSKD 2017: 2982-2987 - [c1]Faxian Cao, Zhijing Yang, Mengying Jiang, Weizhao Chen, Qiuliang Ye, Wing-Kuen Ling:
Spectral-Spatial Classification of Hyperspectral Image Using Extreme Learning Machine and Loopy Belief Propagation. iThings/GreenCom/CPSCom/SmartData 2017: 1061-1064
Coauthor Index
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