A SVM-Based Text Classification System for Knowledge Organization Method of Crop Cultivation. - Laiqing Ji; Xinrong Cheng; Li Kang; Daoliang Li; Daiyi Li; Kaiyi Wang; Yingyi Chen (CCTA (1), 2011)

A Bayesian Based Search and Classification System for Product Information of Agricultural Logistics Information Technology. - Dandan Li; Daoliang Li; Yingyi Chen; Li Li; Xiangyang Qin; Yongjun Zheng (CCTA (1), 2011)

A Collision Detection-Based Wandering Method for Equipment Deploy Scene in Land Reclamation Area of Mining Dump. - Juncheng Ma; Daoliang Li; Yingyi Chen; Li Li; Fei Gao; Lingxian Zhang (CCTA (1), 2011)

ODORactor: a web server for deciphering olfactory coding. - Xinyi Liu 003; Xubo Su; Fei Wang 012; Zhimin Huang; Qi Wang; Zhen Li; Ruina Zhang; Lifang Wu; Yi Pan; Yingyi Chen; Hanyi Zhuang; Guoqiang Chen; et al. (Bioinform., 2011)

Assessment for soil improvement benefit of land rehabilitation in dump areas. - Yingyi Chen; Dandan Li; Daoliang Li; Xing Wu; Yongjun Zheng (Math. Comput. Model., 2011)

ASD: a comprehensive database of allosteric proteins and modulators. - Zhimin Huang; Liang Zhu; Yan Cao; Geng Wu; Xinyi Liu 003; Yingyi Chen; Qi Wang; Ting Shi; Yaxue Zhao; Yuefei Wang; Weihua Li 005; Yixue Li; et al. (Nucleic Acids Res., 2011)

A Monitoring System Based On Environment Indicator Technology For Land Rehabilitation In Coal Mine Dump Areas. - Yingyi Chen; Yuan Wang; Daoliang Li; Xing Wu (Intell. Autom. Soft Comput., 2012)

Application of GPS & GPRS Technology to Field Data Acquisition in Coal Mine Dump Area. - Yingyi Chen; Xing Wu; Daoliang Li; Liang Yong; Dandan Li (Intell. Autom. Soft Comput., 2012)

A Hybrid Registration Approach of Remote Sensing Images for Land Consolidation. - Li Li; Yingyi Chen; Hongju Gao; Daoliang Li (Intell. Autom. Soft Comput., 2012)

Insights into the Role of Magnesium Triad in myo-Inositol Monophosphatase: Metal Mechanism, Substrate Binding, and Lithium Therapy. - Shaoyong Lu; Wenkang Huang; Xiaobai Li; Zhimin Huang; Xinyi Liu 003; Yingyi Chen; Ting Shi; Jian Zhang 037 (J. Chem. Inf. Model., 2012)

Design of the Unmanned Area Fetching Trolley. - Xuelun Hu; Licai Zhang; Yaoguang Wei; Yingyi Chen (CCTA (2), 2013)

Dissolved Oxygen Prediction Model Which Based on Fuzzy Neural Network. - Yalin Liu; Yaoguang Wei; Yingyi Chen (CCTA (2), 2013)

Intelligent Ammonia-Nitrogen Sensor Which Based on Ammonia Electrode. - Fan Zhang; Yaoguang Wei; Yingyi Chen; Chunhong Liu (CCTA (2), 2013)

Color Image Segmentation in RGB Color Space Based on Color Saliency. - Chen Zhang; Wenzhu Yang; Zhaohai Liu; Daoliang Li; Yingyi Chen; Zhenbo Li (CCTA (1), 2013)

An ontology-based knowledge representation and implement method for crop cultivation standard. - Daiyi Li; Li Kang; Xinrong Cheng; Daoliang Li; Laiqing Ji; Kaiyi Wang; Yingyi Chen (Math. Comput. Model., 2013)

System Design of Online Monitoring and Controlling System Based on Zigbee in Greenhouse. - Fengmei Li; Yaoguang Wei; Yingyi Chen; Xu Zhang (CCTA, 2014)

A hybrid WA-CPSO-LSSVR model for dissolved oxygen content prediction in crab culture. - Shuangyin Liu; Longqin Xu; Yu Jiang; Daoliang Li; Yingyi Chen; Zhenbo Li (Eng. Appl. Artif. Intell., 2014)

Quick and Automatic Generation Method for the Evaluation Report of the Small Hydropower Substitute Fuel Project. - Yingyi Chen; Jiani Xue; HuiHui Yu; Jing Xu; Zhumi Zhen; Xingyue Tu; Zhijie Ma; Yun Zhao; Yanzhong Liu (CCTA (1), 2015)

Aquaculture Access Control Model in Intelligent Monitoring and Management System Based on Group/Role. - Qiyu Zhang; Yingyi Chen; Zhumi Zhen; Jing Xu; Ling Zhu; Liangliang Gao; Yanzhong Liu (CCTA (1), 2015)

An Intelligent Optical Dissolved Oxygen Measurement Method Based on a Fluorescent Quenching Mechanism. - Fengmei Li; Yaoguang Wei; Yingyi Chen; Daoliang Li; Xu Zhang (Sensors, 2015)

Prediction of the temperature in a Chinese solar greenhouse based on LSSVM optimized by improved PSO. - HuiHui Yu; Yingyi Chen; Shahbaz Gul Hassan; Daoliang Li (Comput. Electron. Agric., 2016)

Application of Fault Tree Analysis and Fuzzy Neural Networks to Fault Diagnosis in the Internet of Things (IoT) for Aquaculture. - Yingyi Chen; Zhumi Zhen; HuiHui Yu; Jing Xu (Sensors, 2017)

A Review of Turbidity Detection Based on Computer Vision. - Yeqi Liu; Yingyi Chen; Xiaomin Fang (IEEE Access, 2018)

Real time expert system for anomaly detection of aerators based on computer vision technology and existing surveillance cameras. - Yeqi Liu; Yingyi Chen; HuiHui Yu; Xiaomin Fang; Chuanyang Gong (CoRR, 2018)

Applications of Recurrent Neural Networks in Environmental Factor Forecasting: A Review. - Yingyi Chen; Qianqian Cheng; Yanjun Cheng; Hao Yang; HuiHui Yu (Neural Comput., 2018)

Attention-based recurrent neural networks for accurate short-term and long-term dissolved oxygen prediction. - Yeqi Liu; Qian Zhang; Lihua Song; Yingyi Chen (Comput. Electron. Agric., 2019)

DSTP-RNN: a dual-stage two-phase attention-based recurrent neural networks for long-term and multivariate time series prediction. - Yeqi Liu; Chuanyang Gong; Ling Yang; Yingyi Chen (CoRR, 2019)

Two-stage Best-scored Random Forest for Large-scale Regression. - Hanyuan Hang; Yingyi Chen; Johan A. K. Suykens (CoRR, 2019)

Generalizing Random Fourier Features via Generalized Measures. - Fanghui Liu 001; Xiaolin Huang; Yingyi Chen; Johan A. K. Suykens (CoRR, 2020)

DSTP-RNN: A dual-stage two-phase attention-based recurrent neural network for long-term and multivariate time series prediction. - Yeqi Liu; Chuanyang Gong; Ling Yang; Yingyi Chen (Expert Syst. Appl., 2020)

A real time expert system for anomaly detection of aerators based on computer vision and surveillance cameras. - Yeqi Liu; HuiHui Yu; Chuanyang Gong; Yingyi Chen (J. Vis. Commun. Image Represent., 2020)

Unraveling allosteric landscapes of allosterome with ASD. - Xinyi Liu 003; Shaoyong Lu; Kun Song 003; Qiancheng Shen; Duan Ni; Qian Li; Xinheng He; Hao Zhang; Qi Wang; Yingyi Chen; Xinyi Li; Jing Wu; et al. (Nucleic Acids Res., 2020)

Applications of Deep Learning for Dense Scenes Analysis in Agriculture: A Review. - Qian Zhang; Yeqi Liu; Chuanyang Gong; Yingyi Chen; HuiHui Yu (Sensors, 2020)

Fast Learning in Reproducing Kernel Krein Spaces via Signed Measures. - Fanghui Liu 001; Xiaolin Huang; Yingyi Chen; Johan A. K. Suykens (AISTATS, 2021)

Boosting Co-Teaching With Compression Regularization for Label Noise. - Yingyi Chen; Xi Shen 001; Shell Xu Hu; Johan A. K. Suykens (CVPR Workshops, 2021)

Estimating the aquatic-plant area on a pond surface using a hue-saturation-component combination and an improved Otsu method. - Yuxing Fan; Yingyi Chen; Xin Chen; Hongxu Zhang; Chunhong Liu; Qingling Duan (Comput. Electron. Agric., 2021)

A dual attention network based on efficientNet-B2 for short-term fish school feeding behavior analysis in aquaculture. - Ling Yang; HuiHui Yu; Yuelan Cheng; Siyuan Mei; Yanqing Duan; Daoliang Li; Yingyi Chen (Comput. Electron. Agric., 2021)

Automatic Detection of Peeled Shrimp Based on Image Enhancement and Convolutional Neural Networks. - HuiHui Yu; Xiong Liu; Hanxiang Qin; Ling Yang; Yingyi Chen (ICCAI, 2022)

Recent advances of target tracking applications in aquaculture with emphasis on fish. - Yupeng Mei; Boyang Sun; Daoliang Li; HuiHui Yu; Hanxiang Qin; Huihui Liu; Ni Yan; Yingyi Chen (Comput. Electron. Agric., 2022)

Unsupervised adversarial domain adaptation based on interpolation image for fish detection in aquaculture. - Tengyun Zhao; Zhencai Shen; Hui Zou; Ping Zhong 003; Yingyi Chen (Comput. Electron. Agric., 2022)

Block-based multi-view classification via view-based L2, p sparse representation and adaptive view fusion. - Zhi Wang 019; Qiang Lin; Yingyi Chen; Ping Zhong 003 (Eng. Appl. Artif. Intell., 2022)

Double information preserving canonical correlation analysis. - Hongjie Zhang; Junyan Tan; Jinxin Zhang; Yingyi Chen; Ling Jing (Eng. Appl. Artif. Intell., 2022)

Unified feature extraction framework based on contrastive learning. - Hongjie Zhang; Wenwen Qiang; Jinxin Zhang; Yingyi Chen; Ling Jing (Knowl. Based Syst., 2022)

Feature extraction framework based on contrastive learning with adaptive positive and negative samples. - Hongjie Zhang; Siyu Zhao; Wenwen Qiang; Yingyi Chen; Ling Jing (Neural Networks, 2022)

Supervised multi-view classification via the sparse learning joint the weighted elastic loss. - Qiang Lin; Zhi Wang 019; Yingyi Chen; Ping Zhong 003 (Signal Process., 2022)

Retargeted multi-view classification via structured sparse learning. - Zhi Wang 019; Zhencai Shen; Hui Zou; Ping Zhong 003; Yingyi Chen (Signal Process., 2022)

A recurrent network based on active learning for the assessment of fish feeding status. - Qingchen Kong; Rongxiang Du; Qingling Duan; Yuquan Zhang; Yingyi Chen; Daoliang Li; Chen Xu; Wensheng Li; Chunhong Liu (Comput. Electron. Agric., 2022)

Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation. - Yingyi Chen; Qinghua Tao; Francesco Tonin; Johan A. K. Suykens (NeurIPS, 2023)

An Automatic Detection and Counting Method for Fish Lateral Line Scales of Underwater Fish Based on Improved YOLOv5. - Huihui Yu; Zimao Wang; Hanxiang Qin; Yingyi Chen (IEEE Access, 2023)

Deep Learning on Image Stitching With Multi-viewpoint Images: A Survey. - Ni Yan; Yupeng Mei; Ling Xu; Huihui Yu; Boyang Sun; Zimao Wang; Yingyi Chen (Neural Process. Lett., 2023)

Probability-Based Graph Embedding Cross-Domain and Class Discriminative Feature Learning for Domain Adaptation. - Wenxu Wang 002; Zhencai Shen; Daoliang Li; Ping Zhong 003; Yingyi Chen (IEEE Trans. Image Process., 2023)

Jigsaw-ViT: Learning jigsaw puzzles in vision transformer. - Yingyi Chen; Xi Shen 001; Yahui Liu; Qinghua Tao; Johan A. K. Suykens (Pattern Recognit. Lett., 2023)

A BlendMask-VoVNetV2 method for quantifying fish school feeding behavior in industrial aquaculture. - Ling Yang; Yingyi Chen; Tao Shen; Huihui Yu; Daoliang Li (Comput. Electron. Agric., 2023)

A method for detecting uneaten feed based on improved YOLOv5. - Chen Xu; Zhiyong Wang; Rongxiang Du; Yachao Li; Daoliang Li; Yingyi Chen; Wensheng Li; Chunhong Liu (Comput. Electron. Agric., 2023)

Query-support semantic correlation mining for few-shot segmentation. - Ji Shao; Bo Gong; Kanyuan Dai; Daoliang Li; Ling Jing; Yingyi Chen (Eng. Appl. Artif. Intell., 2023)

SURE: SUrvey REcipes for Building Reliable and Robust Deep Networks. - Yuting Li; Yingyi Chen; Xuanlong Yu; Dexiong Chen; Xi Shen 001 (CVPR, 2024)

Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes. - Yingyi Chen; Qinghua Tao; Francesco Tonin; Johan A. K. Suykens (ICML, 2024)

Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method. - Qinghua Tao; Francesco Tonin; Alex Lambert; Yingyi Chen; Panagiotis Patrinos; Johan A. K. Suykens (ICML, 2024)

TSD: Random feature query design for transformer-based shrimp detector. - Bo Gong; Ling Jing; Yingyi Chen (Comput. Electron. Agric., 2024)

RTHEN: Unsupervised deep homography estimation based on dynamic attention for repetitive texture image stitching. - Ni Yan; Yupeng Mei; Tian Yang; Huihui Yu; Yingyi Chen (Displays, 2024)

Cycle association prototype network for few-shot semantic segmentation. - Zhuangzhuang Hao; Ji Shao; Bo Gong; Jingwen Yang; Ling Jing; Yingyi Chen (Eng. Appl. Artif. Intell., 2024)

Relaxed multi-view discriminant analysis. - Hongjie Zhang; Junyan Tan; Yingyi Chen; Ling Jing; Jinxin Zhang (Eng. Appl. Artif. Intell., 2024)

SED-RCNN-BE: A SE-Dual channel RCNN network optimized binocular estimation model for automatic size estimation of free swimming fish in aquaculture. - Huihui Yu; Hexiang Song; Ling Xu; Daoliang Li; Yingyi Chen (Expert Syst. Appl., 2024)

SiamFCA: A new fish single object tracking method based on siamese network with coordinate attention in aquaculture. - Yupeng Mei; Ni Yan; Hanxiang Qin; Tian Yang; Yingyi Chen (Comput. Electron. Agric., 2024)

Compressing Features for Learning With Noisy Labels. - Yingyi Chen; Shell Xu Hu; Xi Shen 001; Chunrong Ai; Johan A. K. Suykens (IEEE Trans. Neural Networks Learn. Syst., 2024)

Digital Twin for Aquaponics Factory: Analysis, Opportunities, and Research Challenges. - Ling Xu; Huihui Yu; Hanxiang Qin; Yingqian Chai; Ni Yan; Daoliang Li; Yingyi Chen (IEEE Trans. Ind. Informatics, 2024)

TCH: A novel multi-view dimensionality reduction method based on triple contrastive heads. - Hongjie Zhang; Ruojin Zhou; Siyu Zhao; Ling Jing; Yingyi Chen (Neural Networks, 2025)

A review of deep learning-based stereo vision techniques for phenotype feature and behavioral analysis of fish in aquaculture. - Yaxuan Zhao; Hanxiang Qin; Ling Xu; Huihui Yu; Yingyi Chen (Artif. Intell. Rev., 2025)

Research advances on fish feeding behavior recognition and intensity quantification methods in aquaculture. - Shulong Zhang; Daoliang Li; Jiayin Zhao; Mingyuan Yao; Yingyi Chen; Yukang Huo; Xiao Liu; Haihua Wang (CoRR, 2025)

Heterogeneous Domain Adaptation With Generalized Similarity and Dissimilarity Regularization. - Yuqing Chen; Zhencai Shen; Daoliang Li; Ping Zhong 003; Yingyi Chen (IEEE Trans. Neural Networks Learn. Syst., 2025)