Fuzzy adaptive observer and filter backsteppping control for nonlinear systems. - Changying Li; Shaocheng Tong; Yongming Li 002; Tieshan Li (ACC, 2009)

Fuzzy adaptive observer backstepping control for MIMO nonlinear systems. - Shaocheng Tong; Changying Li; Yongming Li 002 (Fuzzy Sets Syst., 2009)

Fuzzy adaptive high-gain-based observer backstepping control for SISO nonlinear systems. - Changying Li; Shaocheng Tong; Wei Wang 036 (Inf. Sci., 2011)

Fuzzy almost disturbance decoupling for MIMO nonlinear uncertain systems based on high-gainobserver. - Changying Li; Wei Wang 036 (Neurocomputing, 2013)

k-Perimeter Coverage Evaluation and Deployment in Wireless Sensor Networks. - Ying Chen; Changying Li; Jiguo Yu; Hongsong Zhu; Yuyan Sun (WASA, 2015)

Monte Carlo simulation of light propagation in healthy and diseased onion bulbs with multiple layers. - Svyatoslav Chugunov; Changying Li (Comput. Electron. Agric., 2015)

mRMR-based feature selection for classification of cotton foreign matter using hyperspectral imaging. - Yu Jiang; Changying Li (Comput. Electron. Agric., 2015)

Parallel implementation of inverse adding-doubling and Monte Carlo multi-layered programs for high performance computing systems with shared and distributed memory. - Svyatoslav Chugunov; Changying Li (Comput. Phys. Commun., 2015)

A Customized Metal Oxide Semiconductor-Based Gas Sensor Array for Onion Quality Evaluation: System Development and Characterization. - Tharun Konduru; Glen C. Rains; Changying Li (Sensors, 2015)

Development of the Second Generation Berry Impact Recording Device (BIRD II). - Rui Xu 018; Changying Li (Sensors, 2015)

High throughput phenotyping of cotton plant height using depth images under field conditions. - Yu Jiang; Changying Li; Andrew H. Paterson (Comput. Electron. Agric., 2016)

Shortwave infrared hyperspectral reflectance imaging for cotton foreign matter classification. - Ruoyu Zhang; Changying Li; Mengyun Zhang; James Rodgers (Comput. Electron. Agric., 2016)

Classification of foreign matter embedded inside cotton lint using short wave infrared (SWIR) hyperspectral transmittance imaging. - Mengyun Zhang; Changying Li; Fuzeng Yang (Comput. Electron. Agric., 2017)

Delay-dependent stability analysis of convection-diffusion equations with delay. - Qifeng Zhang; Changying Li; Hongyu Qin (Int. J. Adv. Media Commun., 2017)

High throughput phenotyping of tomato spot wilt disease in peanuts using unmanned aerial systems and multispectral imaging. - Aaron Patrick; Sara Pelham; Albert Culbreath; C. Corely Holbrook; Ignácio José De Godoy; Changying Li (IEEE Instrum. Meas. Mag., 2017)

High Throughput Phenotyping of Blueberry Bush Morphological Traits Using Unmanned Aerial Systems. - Aaron Patrick; Changying Li (Remote. Sens., 2017)

In-Field High-Throughput Phenotyping of Cotton Plant Height Using LiDAR. - Shangpeng Sun; Changying Li; Andrew H. Paterson (Remote. Sens., 2017)

A Pulsed Thermographic Imaging System for Detection and Identification of Cotton Foreign Matter. - Jesse Kuzy; Changying Li (Sensors, 2017)

Team-based Coverage Control of Moving Sensor Networks with Uncertain Measurements. - Farshid Abbasi; Afshin Mesbahi; Javad Mohammadpour Velni; Changying Li (ACC, 2018)

Data Fusion of Two Hyperspectral Imaging Systems with Complementary Spectral Sensing Ranges for Blueberry Bruising Detection. - Shuxiang Fan; Changying Li; Wenqian Huang; Liping Chen (Sensors, 2018)

Performance Analysis of Full Duplex Modulating Retro-Reflector Free-Space Optical Communications Over Single and Double Gamma-Gamma Fading Channels. - Guowei Yang 004; Changying Li; Jing Li; Hujun Geng; Meihua Bi; Bing Fan; Tianshu Wang (IEEE Trans. Commun., 2018)

Image processing algorithms for infield single cotton boll counting and yield prediction. - Shangpeng Sun; Changying Li; Andrew H. Paterson; Peng W. Chee; Jon S. Robertson (Comput. Electron. Agric., 2019)

Deep Learning Approach for Apple Edge Detection to Remotely Monitor Apple Growth in Orchards. - Dandan Wang; Changying Li; Huaibo Song; Hongting Xiong; Chang Liu; Dongjian He (IEEE Access, 2020)

Instance Segmentation to Estimate Consumption of Corn Ears by Wild Animals for GMO Preference Tests. - Shrinidhi Adke; Karl Haro von Mogel; Yu Jiang; Changying Li (Frontiers Artif. Intell., 2020)

Ground Based Hyperspectral Imaging to Characterize Canopy-Level Photosynthetic Activities. - Yu Jiang; John L. Snider; Changying Li; Glen C. Rains; Andrew H. Paterson (Remote. Sens., 2020)

Simulation of an Autonomous Mobile Robot for LiDAR-Based In-Field Phenotyping and Navigation. - Jawad Iqbal; Rui Xu 018; Shangpeng Sun; Changying Li (Robotics, 2020)

Autonomous Navigation of a Center-Articulated and Hydrostatic Transmission Rover using a Modified Pure Pursuit Algorithm in a Cotton Field. - Kadeghe Goodluck Fue; Wesley Porter; Edward Barnes; Changying Li; Glen C. Rains (Sensors, 2020)

High resolution 3D terrestrial LiDAR for cotton plant main stalk and node detection. - Shangpeng Sun; Changying Li; Peng W. Chee; Andrew H. Paterson; Cheng Meng; Jingyi Zhang 004; Ping Ma 001; Jon S. Robertson; Jeevan Adhikari (Comput. Electron. Agric., 2021)

Development and Testing of a UAV-Based Multi-Sensor System for Plant Phenotyping and Precision Agriculture. - Rui Xu 018; Changying Li; Sergio Bernardes (Remote. Sens., 2021)

Tfcancer: a manually curated database of transcription factors associated with human cancers. - Qingqing Huang; Zhengtang Tan; Yanjing Li; Wenzhu Wang; Mei Lang; Changying Li; Zhiyun Guo (Bioinform., 2021)

Virtual Reality Point Cloud Annotation. - Anton Franzluebbers; Changying Li; Andrew H. Paterson; Kyle Johnsen 001 (VR Workshops, 2022)

Dairy cow lameness detection using a back curvature feature. - Bo Jiang 017; Huaibo Song; Han Wang; Changying Li (Comput. Electron. Agric., 2022)

A deep learning-based web application for segmentation and quantification of blueberry internal bruising. - Xueping Ni; Fumiomi Takeda; Huanyu Jiang; Wei Q. Yang; Seiya Saito; Changying Li (Comput. Electron. Agric., 2022)

Weakly-supervised learning to automatically count cotton flowers from aerial imagery. - Daniel Petti; Changying Li (Comput. Electron. Agric., 2022)

Towards real-time tracking and counting of seedlings with a one-stage detector and optical flow. - Chenjiao Tan; Changying Li; Dongjian He; Huaibo Song (Comput. Electron. Agric., 2022)

Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning. - Yuzhong Chen; Zhenxiang Xiao; Lin Zhao 004; Lu Zhang 050; Haixing Dai; David Weizhong Liu; Zihao Wu 001; Changhe Li; Tuo Zhang; Changying Li; Dajiang Zhu; Tianming Liu 001; et al. (CoRR, 2022)

A modular agricultural robotic system (MARS) for precision farming: Concept and implementation. - Rui Xu 018; Changying Li (J. Field Robotics, 2022)

Supervised and Weakly Supervised Deep Learning for Segmentation and Counting of Cotton Bolls Using Proximal Imagery. - Shrinidhi Adke; Changying Li; Khaled M. Rasheed; Frederick W. Maier (Sensors, 2022)

A 14-b 20-MS/s 78.8 dB-SNDR Energy-Efficient SAR ADC With Background Mismatch Calibration and Noise-Reduction Techniques for Portable Medical Ultrasound Systems. - Yuhua Liang; Changying Li; Shubin Liu; Zhangming Zhu (IEEE Trans. Biomed. Circuits Syst., 2022)

AGI for Agriculture. - Guoyu Lu; Sheng Li 001; Gengchen Mai; Jin Sun 011; Dajiang Zhu; Lilong Chai; Haijian Sun; Xianqiao Wang; Haixing Dai; Ninghao Liu; Rui Xu 018; Daniel Petti; et al. (CoRR, 2023)

SAM for Poultry Science. - Xiao Yang; Haixing Dai; Zihao Wu 001; Ramesh Bist; Sachin Subedi; Jin Sun 011; Guoyu Lu; Changying Li; Tianming Liu 001; Lilong Chai (CoRR, 2023)

Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classification. - Haixing Dai; Lu Zhang 050; Lin Zhao 004; Zihao Wu 001; Zhengliang Liu; David Liu; Xiaowei Yu; Yanjun Lyu; Changying Li; Ninghao Liu; Tianming Liu 001; Dajiang Zhu (CoRR, 2023)

Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges. - Fei Dou; Jin Ye 001; Geng Yuan; Qin Lu 002; Wei Niu 002; Haijian Sun; Le Guan; Guoyu Lu; Gengchen Mai; Ninghao Liu; Jin Lu 001; Zhengliang Liu; et al. (CoRR, 2023)

DT/MARS-CycleGAN: Improved Object Detection for MARS Phenotyping Robot. - David Liu; Zhengkun Li; Zihao Wu 001; Changying Li (CoRR, 2023)

On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applications. - Chenjiao Tan; Qian Cao; Yiwei Li 002; Jielu Zhang; Xiao Yang; Huaqin Zhao; Zihao Wu 001; Zhengliang Liu; Hao Yang 018; Nemin Wu; Tao Tang; Xinyue Ye; et al. (CoRR, 2023)

Targeted advertising with R&D rivalry. - Changying Li; Youping Li; Jianhu Zhang (Math. Soc. Sci., 2023)

Intelligent Soft Robotic Grippers for Agricultural and Food Product Handling: A Brief Review with a Focus on Design and Control. - Yuxuan Liu; Jixin Hou; Changying Li; Xianqiao Wang (Adv. Intell. Syst., 2023)

Anchor-free deep convolutional neural network for tracking and counting cotton seedlings and flowers. - Chenjiao Tan; Changying Li; Dongjian He; Huaibo Song (Comput. Electron. Agric., 2023)

Graph Neural Networks for lightweight plant organ tracking. - Daniel Petti; Ronghang Zhu; Sheng Li 001; Changying Li (Comput. Electron. Agric., 2024)

An innovative segment anything model for precision poultry monitoring. - Xiao Yang; Haixing Dai; Zihao Wu 001; Ramesh Bist; Sachin Subedi; Jin Sun 011; Guoyu Lu; Changying Li; Tianming Liu 001; Lilong Chai (Comput. Electron. Agric., 2024)

A Ground Mobile Robot for Autonomous Terrestrial Laser Scanning-Based Field Phenotyping. - Javier Rodríguez Sánchez; Kyle Johnsen 001; Changying Li (CoRR, 2024)

Apple tree architectural trait phenotyping with organ-level instance segmentation from point cloud. - Lizhi Jiang; Changying Li; Longsheng Fu (Comput. Electron. Agric., 2025)

Cotton3DGaussians: Multiview 3D Gaussian Splatting for boll mapping and plant architecture analysis. - Lizhi Jiang; Jin Sun; Peng W. Chee; Changying Li; Longsheng Fu (Comput. Electron. Agric., 2025)

In-field blueberry fruit phenotyping with a MARS-PhenoBot and customized BerryNet. - Zhengkun Li; Rui Xu 018; Changying Li; Patricio Munoz; Fumiomi Takeda; Bruno Leme (Comput. Electron. Agric., 2025)

A customized density map model and segment anything model for cotton boll number, size, and yield prediction in aerial images. - Chenjiao Tan; Jin Sun 011; Huaibo Song; Changying Li (Comput. Electron. Agric., 2025)

Mask-Guided Vision Transformer for Few-Shot Learning. - Yuzhong Chen; Zhenxiang Xiao; Yi Pan 001; Lin Zhao 004; Haixing Dai; Zihao Wu 001; Changhe Li; Tuo Zhang; Changying Li; Dajiang Zhu; Tianming Liu 001; Xi Jiang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)