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Shan Zeng
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2020 – today
- 2024
- [j39]Zhiguang Yang, Hanqin Qin
, Shan Zeng
DGFusion: A Novel Infrared and Visible Image Fusion Method Based on Diffusion and Generative Adversarial Networks. IEEE Access 12: 147051-147064 (2024) - [j38]Ke Yang, Shan Zeng, Dhanjoo N. Ghista, Xin Hu, Site Lv, Kelvin Kian Loong Wong:
Automated cardiac vortex ring identification and characterization based on Recurrent All-Pairs Field Transforms and Lagrangian Averaged Vorticity Deviation. Comput. Biol. Medicine 179: 108836 (2024) - [j37]Weijian Liu, Shan Zeng, Xuegeng Chen:
Design and experiment of spiral step cleaning device for ratooning rice based on CFD-DEM coupling. Comput. Electron. Agric. 224: 109207 (2024) - [j36]Xiangyang Zhang
Leveraging large-scale genetic data to assess the causal impact of COVID-19 on multisystemic diseases. J. Big Data 11(1): 129 (2024) - [j35]Shan Zeng
Soft Multiprototype Clustering Algorithm via Two-Layer Semi-NMF. IEEE Trans. Fuzzy Syst. 32(4): 1615-1629 (2024) - [c22]Bing Li, Shan Zeng, Chunxia Zhou, Hao Li, Huanjun Hu, Wei Tao, Zurun Wang:
Evaluation of Ionospheric Information Derived from Spaceborne Synthetic Aperture Radar: A Case Study in the Polar Region. IGARSS 2024: 11153-11156 - 2023
- [j34]Yongting Liu, Jiayao Ma, Xinwen Wang, Ping Liu, Changjing Cai, Ying Han, Shan Zeng, Ziyang Feng, Hong Shen
Lipophagy-related gene RAB7A is involved in immune regulation and malignant progression in hepatocellular carcinoma. Comput. Biol. Medicine 158: 106862 (2023) - [j33]Shan Zeng, Haiyang Zhang, Yulong Chen, Zhongyin Sheng, Zhen Kang, Hao Li:
Swgan: A new algorithm of adhesive rice image segmentation based on improved generative adversarial networks. Comput. Electron. Agric. 213: 108226 (2023) - [j32]Xiaoyue Tang, Shan Zeng, Fang Yu, Wei Yu, Zhongyin Sheng, Zhen Kang:
Self-supervised anomaly pattern detection for large scale industrial data. Neurocomputing 515: 1-12 (2023) - [j31]Sheng Ye, Weihua Liu, Shan Zeng, Guiju Wu, Liangyan Chen, Huaqing Lai
SY-Net: A Rice Seed Instance Segmentation Method Based on a Six-Layer Feature Fusion Network and a Parallel Prediction Head Structure. Sensors 23(13): 6194 (2023) - [j30]Shan Zeng
A Sparse Framework for Robust Possibilistic K-Subspace Clustering. IEEE Trans. Fuzzy Syst. 31(4): 1124-1138 (2023) - [j29]Junbo Zhou
A Novel Spatial-Spectral Pyramid Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j28]Tingting Liao
Deep Metric Learning for K Nearest Neighbor Classification. IEEE Trans. Knowl. Data Eng. 35(1): 264-275 (2023) - [c21]Weiqiang Yang, Shan Zeng, Chaoxian Liu, Hao Li, Zhen Kang:
RSF-SSD: An Improved SSD Algorithm Based on Multi-level Feature Enhancement. BICS 2023: 123-132 - [i2]Zijie Fang, Yihan Liu, Yifeng Wang, Xiangyang Zhang, Yang Chen, Changjing Cai, Yiyang Lin, Ying Han, Zhi Wang, Shan Zeng, Hong Shen, Jun Tan, Yongbing Zhang:
Deep Learning Predicts Biomarker Status and Discovers Related Histomorphology Characteristics for Low-Grade Glioma. CoRR abs/2310.07464 (2023) - 2022
- [j27]Zhiguang Yang, Shan Zeng:
TPFusion: Texture Preserving Fusion of Infrared and Visible Images via Dense Networks. Entropy 24(2): 294 (2022) - [j26]Yixiao Gao
Analyzing and Optimizing Packet Corruption in RDMA Network. J. Comput. Sci. Technol. 37(4): 743-762 (2022) - [j25]Junbo Zhou, Shan Zeng, Zuyin Xiao, Jinbo Zhou, Hao Li
An Enhanced Spectral Fusion 3D CNN Model for Hyperspectral Image Classification. Remote. Sens. 14(21): 5334 (2022) - [j24]Zhen Kang, Tianchen Huang, Shan Zeng, Hao Li
A Method for Detection of Corn Kernel Mildew Based on Co-Clustering Algorithm with Hyperspectral Image Technology. Sensors 22(14): 5333 (2022) - [j23]Yaqin Li, Binbin Han, Shan Zeng, Shengyong Xu, Cao Yuan
End-to-End Point Cloud Completion Network with Attention Mechanism. Sensors 22(17): 6439 (2022) - [c20]Hengzhi Chen, Xiaofeng Wu
Multi-Scale Attention based Transformer U-NET for Change Detection. IGARSS 2022: 1067-1070 - [c19]Jun Bai
FedEWA: Federated Learning with Elastic Weighted Averaging. IJCNN 2022: 1-8 - 2021
- [j22]Hao Li
Pairwise Elastic Net Representation-Based Classification for Hyperspectral Image Classification. Entropy 23(8): 956 (2021) - [j21]Weihua Liu, Shan Zeng, Guiju Wu, Hao Li
Rice Seed Purity Identification Technology Using Hyperspectral Image with LASSO Logistic Regression Model. Sensors 21(13): 4384 (2021) - [j20]Shan Zeng
Kernelized Mahalanobis Distance for Fuzzy Clustering. IEEE Trans. Fuzzy Syst. 29(10): 3103-3117 (2021) - [c18]Zhizhuang Li, Haiyang Hu, Zhipeng Xia, Jianping Zhang, Xiaoli Li, Zisihan Wang, Xiaoke Huang, Shan Zeng, Beixu Qiu:
Exercise Recommendation Method Based on Machine Learning. ICALT 2021: 50-52 - [c17]Shan Zeng, Yan Qiao, SiWei Zhang, Jie Li, NaiQi Wu, Bin Liu:
Minimization of Product Transportation and Temporary Storage Costs for Home Appliances Manufacturing Factories. ICNSC 2021: 1-6 - [c16]Bowen Xin, Shan Zeng, Xiuying Wang:
Self-Supervised Deep Correlational Multi-View Clustering. IJCNN 2021: 1-8 - [i1]Kun Hu, Zhiyong Wang, Guy R. Y. Coleman, Asher Bender, Tingting Yao, Shan Zeng, Dezhen Song, Arnold W. Schumann, Michael J. Walsh:
Deep Learning Techniques for In-Crop Weed Identification: A Review. CoRR abs/2103.14872 (2021) - 2020
- [j19]Kun Hu, Guy R. Y. Coleman, Shan Zeng, Zhiyong Wang, Michael J. Walsh
Graph weeds net: A graph-based deep learning method for weed recognition. Comput. Electron. Agric. 174: 105520 (2020) - [j18]Weihua Liu
Paddy variety identification using hyperspectral imagery under non-ideal illumination conditions. Int. J. Wavelets Multiresolution Inf. Process. 18(5): 2050036:1-2050036:20 (2020)
2010 – 2019
- 2019
- [j17]Shan Zeng
Multiple Kernel-Based Discriminant Analysis via Support Vectors for Dimension Reduction. IEEE Access 7: 35418-35430 (2019) - [j16]Shan Zeng
Regularized Fuzzy Discriminant Analysis for Hyperspectral Image Classification With Noisy Labels. IEEE Access 7: 108125-108136 (2019) - [j15]Zhou Li, Xiaolei Li, Zhijun Zhu, Shan Zeng, Yanyan Wang, Yongjian Wang
Signal Analysis of Electrocardiogram and Statistical Evaluation of Myocardial Enzyme in the Diagnosis and Treatment of Patients With Pneumonia. IEEE Access 7: 113751-113759 (2019) - [j14]Shan Zeng, Zhiyong Wang, Rui Huang, Ling Chen, David Feng
A study on multi-kernel intuitionistic fuzzy C-means clustering with multiple attributes. Neurocomputing 335: 59-71 (2019) - 2018
- [j13]Shan Zeng
Hyperspectral Image Classification With Global-Local Discriminant Analysis and Spatial-Spectral Context. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(12): 5005-5018 (2018) - [j12]Shan Zeng
A Unified Collaborative Multikernel Fuzzy Clustering for Multiview Data. IEEE Trans. Fuzzy Syst. 26(3): 1671-1687 (2018) - [c15]Xiuying Wang
Collaborative learning based feature adaption model with applications on MRI prostate boundary delineation. ISBI 2018: 809-812 - 2017
- [j11]Shan Zeng, Ling Chen, Liang Jiang, Chongjun Gao:
Hyperspectral imaging technique based on Geodesic K-medoids clustering and Gabor wavelets for pork quality evaluation. Int. J. Wavelets Multiresolution Inf. Process. 15(6): 1750066:1-1750066:22 (2017) - [j10]Yuntao Qian
Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 55(3): 1776-1792 (2017) - [c14]Jingyu Ji, Shaohui Mei, Xiao Liu, Xu Li, Shan Zeng, Zhiyong Wang:
Exploring Kernel Based Spatial Context for CNN Based Hyperspectral Image Classification. DICTA 2017: 1-7 - [c13]Taolin Jin, Hui Cui, Shan Zeng, Xiuying Wang
Learning Deep Spatial Lung Features by 3D Convolutional Neural Network for Early Cancer Detection. DICTA 2017: 1-6 - [c12]Xiuying Wang
Multi-view collaborative segmentation for prostate MRI images. EMBC 2017: 3529-3532 - [c11]Shan Zeng, Jun Bai, Liang Jiang, Zhen Kang:
Multiple kernel fuzzy discriminant analysis for hyperspectral imaging classification. FUZZ-IEEE 2017: 1-6 - 2016
- [j9]Shan Zeng, Rui Huang, Haibing Wang, Zhen Kang:
Image retrieval using spatiograms of colors quantized by Gaussian Mixture Models. Neurocomputing 171: 673-684 (2016) - [j8]Fazhi Qi, Hongmei Zhang, Hanwen Zhang, Zhihui Sun, Shan Zeng, Mingshan Xia:
MANET网络中基于队列长度的逐跳AC自适应调整机制 (Queue Length Based Per-hop AC Self Adaptation for MANET). 计算机科学 43(3): 84-88 (2016) - [c10]Shuo Liu, Kang Zhou, Shan Zeng, Huaqing Qi, Tingfang Wu:
An Image Threshold Segmentation Algorithm with Hybrid Evolutionary Mechanisms Based on Membrane Computing. BIC-TA (1) 2016: 85-94 - [c9]Shuo Liu, Kang Zhou, Shan Zeng, Huaqing Qi, Xing Chen:
An Improvement of Small Universal Spiking Neural P Systems with Anti-Spikes. BIC-TA (1) 2016: 226-236 - [c8]Jiangrong Liu, Kang Zhou, Shan Zeng, Huaqing Qi, Bosheng Song, Tingfang Wu:
Improved Multi-step Iterative Algorithms for the Fixed Points of Strongly Pseudo-Contractive Mappings. BIC-TA (2) 2016: 489-496 - 2015
- [j7]Shan Zeng, Gang Chen, Fazhi Qi:
软件定义网络性能研究 (Survey on Performance of Software Defined Networking). 计算机科学 42(Z6): 243-248 (2015) - 2014
- [j6]Shan Zeng, Xiaojun Tong, Nong Sang:
Study on multi-center fuzzy C-means algorithm based on transitive closure and spectral clustering. Appl. Soft Comput. 16: 89-101 (2014) - [j5]Shan Zeng, Rui Huang, Zhen Kang, Nong Sang:
Image segmentation using spectral clustering of Gaussian mixture models. Neurocomputing 144: 346-356 (2014) - [c7]Shan Zeng, Jun Bai, Rui Huang:
Image retrieval based on color-spatial histograms. ICSAI 2014: 780-784 - [c6]Shan Zeng, Fan Zhou, Ruomei Wang, Xiaonan Luo:
Probabilistic Model for Virtual Garment Modeling. IGTA 2014: 203-212 - 2013
- [j4]Shan Zeng, Xiaojun Tong, Nong Sang, Rui Huang:
A study on semi-supervised FCM algorithm. Knowl. Inf. Syst. 35(3): 585-612 (2013) - 2011
- [c5]Rubing Bai, Shan Zeng, Qingqing Zhang, Wenjian Yu:
An efficient solver for statistical capacitance extraction considering random process variations. ASICON 2011: 566-569 - [c4]Gang Hu, Wenjian Yu, Hao Zhuang, Shan Zeng:
Efficient floating random walk algorithm for interconnect capacitance extraction considering multiple dielectrics. ASICON 2011: 834-837 - [c3]Binjie Song, Shan Zeng, Yuchun Ma, Ning Xu, Yu Wang:
Tree-Based Partitioning Approach for Network-on-Chip Synthesis. CAD/Graphics 2011: 465-470 - 2010
- [j3]Shan Zeng, Wenjian Yu, Xianlong Hong, Chung-Kuan Cheng:
Efficient Power Network Analysis with Modeling of Inductive Effects. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 93-A(6): 1196-1203 (2010)
2000 – 2009
- 2009
- [j2]Shan Zeng, Wenjian Yu, Jin Shi, Xianlong Hong, Chung-Kuan Cheng:
Efficient Partial Reluctance Extraction for Large-Scale Regular Power Grid Structures. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 92-A(6): 1476-1484 (2009) - [c2]Shan Zeng, Wenjian Yu, Wanping Zhang, Jian Wang, Xianlong Hong, Chung-Kuan Cheng:
Efficient power network analysis with complete inductive modeling. ISQED 2009: 770-775 - 2007
- [j1]Zhuoyuan Li, Xianlong Hong, Qiang Zhou, Shan Zeng, Jinian Bian, Wenjian Yu, Hannah Honghua Yang, Vijay Pitchumani, Chung-Kuan Cheng:
Efficient Thermal via Planning Approach and Its Application in 3-D Floorplanning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 26(4): 645-658 (2007) - 2006
- [c1]Zhuoyuan Li, Xianlong Hong, Qiang Zhou, Shan Zeng, Jinian Bian, Hannah Honghua Yang, Vijay Pitchumani, Chung-Kuan Cheng:
Integrating dynamic thermal via planning with 3D floorplanning algorithm. ISPD 2006: 178-185
Coauthor Index
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last updated on 2024-11-07 21:28 CET by the dblp team
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