Integrating dynamic thermal via planning with 3D floorplanning algorithm. - Zhuoyuan Li 003; Xianlong Hong; Qiang Zhou 001; Shan Zeng; Jinian Bian; Hannah Honghua Yang; Vijay Pitchumani; Chung-Kuan Cheng (ISPD, 2006)

Efficient Thermal via Planning Approach and Its Application in 3-D Floorplanning. - Zhuoyuan Li 003; Xianlong Hong; Qiang Zhou 001; Shan Zeng; Jinian Bian; Wenjian Yu; Hannah Honghua Yang; Vijay Pitchumani; Chung-Kuan Cheng (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2007)

Efficient power network analysis with complete inductive modeling. - Shan Zeng; Wenjian Yu; Wanping Zhang; Jian Wang; Xianlong Hong; Chung-Kuan Cheng (ISQED, 2009)

Efficient Partial Reluctance Extraction for Large-Scale Regular Power Grid Structures. - Shan Zeng; Wenjian Yu; Jin Shi; Xianlong Hong; Chung-Kuan Cheng (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2009)

Efficient Power Network Analysis with Modeling of Inductive Effects. - Shan Zeng; Wenjian Yu; Xianlong Hong; Chung-Kuan Cheng (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2010)

An efficient solver for statistical capacitance extraction considering random process variations. - Rubing Bai; Shan Zeng; Qingqing Zhang; Wenjian Yu (ASICON, 2011)

Efficient floating random walk algorithm for interconnect capacitance extraction considering multiple dielectrics. - Gang Hu; Wenjian Yu; Hao Zhuang 001; Shan Zeng (ASICON, 2011)

Tree-Based Partitioning Approach for Network-on-Chip Synthesis. - Binjie Song; Shan Zeng; Yuchun Ma; Ning Xu 006; Yu Wang 002 (CAD/Graphics, 2011)

A study on semi-supervised FCM algorithm. - Shan Zeng; Xiaojun Tong; Nong Sang; Rui Huang 001 (Knowl. Inf. Syst., 2013)

Image retrieval based on color-spatial histograms. - Shan Zeng; Jun Bai; Rui Huang 001 (ICSAI, 2014)

Probabilistic Model for Virtual Garment Modeling. - Shan Zeng; Fan Zhou 001; Ruomei Wang 001; Xiaonan Luo (IGTA, 2014)

Study on multi-center fuzzy C-means algorithm based on transitive closure and spectral clustering. - Shan Zeng; Xiaojun Tong; Nong Sang (Appl. Soft Comput., 2014)

Image segmentation using spectral clustering of Gaussian mixture models. - Shan Zeng; Rui Huang 001; Zhen Kang; Nong Sang (Neurocomputing, 2014)

软件定义网络性能研究 (Survey on Performance of Software Defined Networking). - Shan Zeng; Gang Chen; Fazhi Qi (计算机科学, 2015)

An Improvement of Small Universal Spiking Neural P Systems with Anti-Spikes. - Shuo Liu; Kang Zhou 005; Shan Zeng; Huaqing Qi; Xing Chen (BIC-TA (1), 2016)

Improved Multi-step Iterative Algorithms for the Fixed Points of Strongly Pseudo-Contractive Mappings. - Jiangrong Liu; Kang Zhou 005; Shan Zeng; Huaqing Qi; Bosheng Song; Tingfang Wu (BIC-TA (2), 2016)

An Image Threshold Segmentation Algorithm with Hybrid Evolutionary Mechanisms Based on Membrane Computing. - Shuo Liu; Kang Zhou 005; Shan Zeng; Huaqing Qi; Tingfang Wu (BIC-TA (1), 2016)

Image retrieval using spatiograms of colors quantized by Gaussian Mixture Models. - Shan Zeng; Rui Huang 001; Haibing Wang; Zhen Kang (Neurocomputing, 2016)

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). - Fazhi Qi; Hongmei Zhang; Hanwen Zhang 001; Zhihui Sun; Shan Zeng; Mingshan Xia (计算机科学, 2016)

Exploring Kernel Based Spatial Context for CNN Based Hyperspectral Image Classification. - Jingyu Ji; Shaohui Mei; Xiao Liu; Xu Li 010; Shan Zeng; Zhiyong Wang 001 (DICTA, 2017)

Learning Deep Spatial Lung Features by 3D Convolutional Neural Network for Early Cancer Detection. - Taolin Jin; Hui Cui 002; Shan Zeng; Xiuying Wang 001 (DICTA, 2017)

Multi-view collaborative segmentation for prostate MRI images. - Xiuying Wang 001; Wensi Tang; Hui Cui 002; Shan Zeng; David Dagan Feng; Michael J. Fulham (EMBC, 2017)

Multiple kernel fuzzy discriminant analysis for hyperspectral imaging classification. - Shan Zeng; Jun Bai; Liang Jiang; Zhen Kang (FUZZ-IEEE, 2017)

Hyperspectral imaging technique based on Geodesic K-medoids clustering and Gabor wavelets for pork quality evaluation. - Shan Zeng; Ling Chen; Liang Jiang; Chongjun Gao (Int. J. Wavelets Multiresolution Inf. Process., 2017)

Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery. - Yuntao Qian; Fengchao Xiong; Shan Zeng; Jun Zhou 001; Yuan Yan Tang (IEEE Trans. Geosci. Remote. Sens., 2017)

Collaborative learning based feature adaption model with applications on MRI prostate boundary delineation. - Xiuying Wang 001; Hui Cui 002; Chaojie Zheng; Shan Zeng; Wensi Tang; Peng Gong; Dagan Feng 001 (ISBI, 2018)

Hyperspectral Image Classification With Global-Local Discriminant Analysis and Spatial-Spectral Context. - Shan Zeng; Zhiyong Wang 001; Chongjun Gao; Zhen Kang; Dagan Feng 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

A Unified Collaborative Multikernel Fuzzy Clustering for Multiview Data. - Shan Zeng; Xiuying Wang 001; Hui Cui 002; Chaojie Zheng; David Dagan Feng (IEEE Trans. Fuzzy Syst., 2018)

Signal Analysis of Electrocardiogram and Statistical Evaluation of Myocardial Enzyme in the Diagnosis and Treatment of Patients With Pneumonia. - Zhou Li 004; Xiaolei Li; Zhijun Zhu; Shan Zeng; Yanyan Wang; Yongjian Wang; Aimin Li (IEEE Access, 2019)

Regularized Fuzzy Discriminant Analysis for Hyperspectral Image Classification With Noisy Labels. - Shan Zeng; Xiangjun Duan; Hao Li 034; Zuyin Xiao; Zhiyong Wang 001; David Feng 003 (IEEE Access, 2019)

Multiple Kernel-Based Discriminant Analysis via Support Vectors for Dimension Reduction. - Shan Zeng; Chongjun Gao; Xiuying Wang 001; Liang Jiang; Dagan Feng 001 (IEEE Access, 2019)

A study on multi-kernel intuitionistic fuzzy C-means clustering with multiple attributes. - Shan Zeng; Zhiyong Wang 001; Rui Huang 001; Ling Chen; David Feng 003 (Neurocomputing, 2019)

Graph weeds net: A graph-based deep learning method for weed recognition. - Kun Hu; Guy R. Y. Coleman; Shan Zeng; Zhiyong Wang 001; Michael J. Walsh (Comput. Electron. Agric., 2020)

Paddy variety identification using hyperspectral imagery under non-ideal illumination conditions. - Weihua Liu; Shan Zeng; Hao Li 034; Zuyin Xiao; Xin Huang; Haohui Jiang (Int. J. Wavelets Multiresolution Inf. Process., 2020)

Exercise Recommendation Method Based on Machine Learning. - Zhizhuang Li; Haiyang Hu; Zhipeng Xia; Jianping Zhang; Xiaoli Li; Zisihan Wang; Xiaoke Huang; Shan Zeng; Beixu Qiu (ICALT, 2021)

Minimization of Product Transportation and Temporary Storage Costs for Home Appliances Manufacturing Factories. - Shan Zeng; Yan Qiao; SiWei Zhang; Jie Li; NaiQi Wu; Bin Liu (ICNSC, 2021)

Self-Supervised Deep Correlational Multi-View Clustering. - Bowen Xin; Shan Zeng; Xiuying Wang 001 (IJCNN, 2021)

Deep Learning Techniques for In-Crop Weed Identification: A Review. - Kun Hu; Zhiyong Wang 001; Guy R. Y. Coleman; Asher Bender; Tingting Yao; Shan Zeng; Dezhen Song; Arnold W. Schumann; Michael J. Walsh (CoRR, 2021)

Pairwise Elastic Net Representation-Based Classification for Hyperspectral Image Classification. - Hao Li 034; Yuanshu Zhang; Yong Ma 001; Xiaoguang Mei; Shan Zeng; Yaqin Li (Entropy, 2021)

Rice Seed Purity Identification Technology Using Hyperspectral Image with LASSO Logistic Regression Model. - Weihua Liu; Shan Zeng; Guiju Wu; Hao Li 034; Feifei Chen (Sensors, 2021)

Kernelized Mahalanobis Distance for Fuzzy Clustering. - Shan Zeng; Xiuying Wang 001; Xiangjun Duan; Sen Zeng; Zuyin Xiao; David Feng 003 (IEEE Trans. Fuzzy Syst., 2021)

Multi-Scale Attention based Transformer U-NET for Change Detection. - Hengzhi Chen; Xiaofeng Wu 001; Shan Zeng; Zhiyong Wang 001 (IGARSS, 2022)

FedEWA: Federated Learning with Elastic Weighted Averaging. - Jun Bai; Atul Sajjanhar; Yong Xiang 001; Xiaojun Tong; Shan Zeng (IJCNN, 2022)

TPFusion: Texture Preserving Fusion of Infrared and Visible Images via Dense Networks. - Zhiguang Yang; Shan Zeng (Entropy, 2022)

Analyzing and Optimizing Packet Corruption in RDMA Network. - Yixiao Gao; Chen Tian 001; Wei Chen; Duo-Xing Li; Jian Yan 010; Yuan-Yuan Gong; Bing-Quan Wang; Tao Wu; Lei Han; Fa-Zhi Qi; Shan Zeng; Wan-Chun Dou; et al. (J. Comput. Sci. Technol., 2022)

An Enhanced Spectral Fusion 3D CNN Model for Hyperspectral Image Classification. - Junbo Zhou; Shan Zeng; Zuyin Xiao; Jinbo Zhou; Hao Li 034; Zhen Kang (Remote. Sens., 2022)

A Method for Detection of Corn Kernel Mildew Based on Co-Clustering Algorithm with Hyperspectral Image Technology. - Zhen Kang; Tianchen Huang; Shan Zeng; Hao Li 034; Lei Dong; Chaofan Zhang (Sensors, 2022)

End-to-End Point Cloud Completion Network with Attention Mechanism. - Yaqin Li; Binbin Han; Shan Zeng; Shengyong Xu; Cao Yuan (Sensors, 2022)

RSF-SSD: An Improved SSD Algorithm Based on Multi-level Feature Enhancement. - Weiqiang Yang; Shan Zeng; Chaoxian Liu; Hao Li; Zhen Kang (BICS, 2023)

Deep Learning Predicts Biomarker Status and Discovers Related Histomorphology Characteristics for Low-Grade Glioma. - Zijie Fang; Yihan Liu; Yifeng Wang 001; Xiangyang Zhang; Yang Chen 036; Changjing Cai; Yiyang Lin; Ying Han; Zhi Wang 001; Shan Zeng; Hong Shen; Jun Tan; et al. (CoRR, 2023)

Self-supervised anomaly pattern detection for large scale industrial data. - Xiaoyue Tang; Shan Zeng; Fang Yu; Wei Yu; Zhongyin Sheng; Zhen Kang (Neurocomputing, 2023)

A Novel Spatial-Spectral Pyramid Network for Hyperspectral Image Classification. - Junbo Zhou; Shan Zeng; Guoqiang Gao; Yulong Chen; Yuanyan Tang (IEEE Trans. Geosci. Remote. Sens., 2023)

Deep Metric Learning for K Nearest Neighbor Classification. - Tingting Liao; Zhen Lei 001; Tianqing Zhu; Shan Zeng; Yaqin Li; Cao Yuan (IEEE Trans. Knowl. Data Eng., 2023)

A Sparse Framework for Robust Possibilistic K-Subspace Clustering. - Shan Zeng; Xiangjun Duan; Hao Li 034; Jun Bai; Yuanyan Tang; Zhiyong Wang 001 (IEEE Trans. Fuzzy Syst., 2023)

Lipophagy-related gene RAB7A is involved in immune regulation and malignant progression in hepatocellular carcinoma. - Yongting Liu; Jiayao Ma; Xinwen Wang; Ping Liu; Changjing Cai; Ying Han; Shan Zeng; Ziyang Feng; Hong Shen (Comput. Biol. Medicine, 2023)

SY-Net: A Rice Seed Instance Segmentation Method Based on a Six-Layer Feature Fusion Network and a Parallel Prediction Head Structure. - Sheng Ye; Weihua Liu; Shan Zeng; Guiju Wu; Liangyan Chen; Huaqing Lai; Zi Yan (Sensors, 2023)

Swgan: A new algorithm of adhesive rice image segmentation based on improved generative adversarial networks. - Shan Zeng; Haiyang Zhang; Yulong Chen; Zhongyin Sheng; Zhen Kang; Hao Li (Comput. Electron. Agric., 2023)

Evaluation of Ionospheric Information Derived from Spaceborne Synthetic Aperture Radar: A Case Study in the Polar Region. - Bing Li; Shan Zeng; Chunxia Zhou; Hao Li; Huanjun Hu; Wei Tao; Zurun Wang (IGARSS, 2024)

DGFusion: A Novel Infrared and Visible Image Fusion Method Based on Diffusion and Generative Adversarial Networks. - Zhiguang Yang; Hanqin Qin; Shan Zeng; Bing Li; Yuanyan Tang (IEEE Access, 2024)

Automated cardiac vortex ring identification and characterization based on Recurrent All-Pairs Field Transforms and Lagrangian Averaged Vorticity Deviation. - Ke Yang; Shan Zeng; Dhanjoo N. Ghista; Xin Hu; Site Lv; Kelvin Kian Loong Wong (Comput. Biol. Medicine, 2024)

Design and experiment of spiral step cleaning device for ratooning rice based on CFD-DEM coupling. - Weijian Liu; Shan Zeng; Xuegeng Chen (Comput. Electron. Agric., 2024)

Soft Multiprototype Clustering Algorithm via Two-Layer Semi-NMF. - Shan Zeng; Xiangjun Duan; Jun Bai; Wei Tao; Kun Hu; Yuanyan Tang (IEEE Trans. Fuzzy Syst., 2024)

Leveraging large-scale genetic data to assess the causal impact of COVID-19 on multisystemic diseases. - Xiangyang Zhang; Zhaohui Jiang; Jiayao Ma; Yaru Qi; Yin Li; Yan Zhang; Yihan Liu; Chaochao Wei; Yihong Chen; Ping Liu; Yinghui Peng; Jun Tan; et al. (J. Big Data, 2024)

A lightweight pineapple detection network based on YOLOv7-tiny for agricultural robot system. - Jiehao Li; Chenglin Li; Shan Zeng; Xiwen Luo; C. L. Philip Chen; Chenguang Yang 001 (Comput. Electron. Agric., 2025)

A lightweight palm fruit detection network for harvesting equipment integrates binocular depth matching. - Jiehao Li; Tao Zhang 103; Qunfei Luo; Shan Zeng; Xiwen Luo; C. L. Philip Chen; Chenguang Yang 001 (Comput. Electron. Agric., 2025)

Pixel-Level and Global Similarity-Based Adversarial Autoencoder Network for Hyperspectral Unmixing. - Wei Tao; Haiyang Zhang; Shan Zeng; Long Wang; Chaoxian Liu; Bing Li (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Non-IID Free Federated Learning With Fuzzy Optimization for Consumer Electronics Systems. - Jun Bai; Di Wu 050; Shan Zeng; Yao Zhao; Youyang Qu; Shui Yu 001 (IEEE Trans. Consumer Electron., 2025)