Image Based Place Recognition and Lidar Validation for Vehicle Localization. - Yongliang Qiao; Cindy Cappelle; Yassine Ruichek (MICAI (1), 2014)

Place Recognition Based Visual Localization Using LBP Feature and SVM. - Yongliang Qiao; Cindy Cappelle; Yassine Ruichek (MICAI (2), 2015)

Visual Localization Using Sequence Matching Based on Multi-feature Combination. - Yongliang Qiao; Cindy Cappelle; Yassine Ruichek (ACIVS, 2016)

Visual localization based on sequence matching using ConvNet features. - Yongliang Qiao; Cindy Cappelle; Yassine Ruichek; Fadi Dornaika (IECON, 2016)

Visual Localization Based on Place Recognition Using Multi-feature Combination (D- lambda λ LBP++HOG). - Yongliang Qiao; Cindy Cappelle; Tao Yang 035; Yassine Ruichek (ACIVS, 2017)

Visual Localization by Place Recognition Based on Multifeature (D-λLBP++HOG). - Yongliang Qiao; Zhao Zhang (J. Sensors, 2017)

Visual Localization across Seasons Using Sequence Matching Based on Multi-Feature Combination. - Yongliang Qiao; Cindy Cappelle; Yassine Ruichek (Sensors, 2017)

Corrigendum to "Visual Localization by Place Recognition Based on Multifeature (D-λLBP++HOG)". - Yongliang Qiao; Cindy Cappelle; Yassine Ruichek; Zhao Zhang (J. Sensors, 2018)

Cattle segmentation and contour extraction based on Mask R-CNN for precision livestock farming. - Yongliang Qiao; Matthew Truman; Salah Sukkarieh (Comput. Electron. Agric., 2019)

ConvNet and LSH-Based Visual Localization Using Localized Sequence Matching. - Yongliang Qiao; Cindy Cappelle; Yassine Ruichek; Tao Yang 035 (Sensors, 2019)

BiLSTM-based Individual Cattle Identification for Automated Precision Livestock Farming. - Yongliang Qiao; Daobilige Su; He Kong; Salah Sukkarieh; Sabrina Lomax; Cameron E. F. Clark (CASE, 2020)

Data Augmentation for Deep Learning based Cattle Segmentation in Precision Livestock Farming. - Yongliang Qiao; Daobilige Su; He Kong; Salah Sukkarieh; Sabrina Lomax; Cameron E. F. Clark (CASE, 2020)

Filtering for systems subject to unknown inputs without a priori initial information. - He Kong; Mao Shan; Daobilige Su; Yongliang Qiao; Abdullah Al-Azzawi; Salah Sukkarieh (Autom., 2020)

CNN feature based graph convolutional network for weed and crop recognition in smart farming. - Honghua Jiang; Chuanyin Zhang; Yongliang Qiao; Zhao Zhang; Wenjing Zhang; Changqing Song (Comput. Electron. Agric., 2020)

Intelligent perception for cattle monitoring: A review for cattle identification, body condition score evaluation, and weight estimation. - Yongliang Qiao; He Kong; Cameron E. F. Clark; Sabrina Lomax; Daobilige Su; Stuart Eiffert; Salah Sukkarieh (Comput. Electron. Agric., 2021)

Data augmentation for deep learning based semantic segmentation and crop-weed classification in agricultural robotics. - Daobilige Su; He Kong; Yongliang Qiao; Salah Sukkarieh (Comput. Electron. Agric., 2021)

Long-Term Changes in the Unique and Largest Seagrass Meadows in the Bohai Sea (China) Using Satellite (1974-2019) and Sonar Data: Implication for Conservation and Restoration. - Shaochun Xu; Shuai Xu; Yi Zhou; Shidong Yue; Xiaomei Zhang 001; Ruiting Gu; Yu Zhang; Yongliang Qiao; Mingjie Liu (Remote. Sens., 2021)

Deep Learning-Based Autonomous Cow Detection for Smart Livestock Farming. - Yongliang Qiao; Yangyang Guo; Dongjian He (GPC, 2022)

CEKD: Cross ensemble knowledge distillation for augmented fine-grained data. - Ke Zhang 029; Jin Fan; Shaoli Huang; Yongliang Qiao; Xiaofeng Yu; Feiwei Qin (Appl. Intell., 2022)

Automated aerial animal detection when spatial resolution conditions are varied. - Jasper Brown; Yongliang Qiao; Cameron E. F. Clark; Sabrina Lomax; Khalid Rafique; Salah Sukkarieh (Comput. Electron. Agric., 2022)

An improved YOLOv5-based vegetable disease detection method. - Jiawei Li; Yongliang Qiao; Sha Liu; Jiaheng Zhang; Zhenchao Yang; Meili Wang (Comput. Electron. Agric., 2022)

C3D-ConvLSTM based cow behaviour classification using video data for precision livestock farming. - Yongliang Qiao; Yangyang Guo; Keping Yu; Dongjian He (Comput. Electron. Agric., 2022)

The Research Progress of Vision-Based Artificial Intelligence in Smart Pig Farming. - Shunli Wang 006; Honghua Jiang; Yongliang Qiao; Shuzhen Jiang; Huaiqin Lin; Qian Sun (Sensors, 2022)

One-Shot Learning-Based Animal Video Segmentation. - Tengfei Xue; Yongliang Qiao; He Kong; Daobilige Su; Shirui Pan; Khalid Rafique; Salah Sukkarieh (IEEE Trans. Ind. Informatics, 2022)

Knowledge-aware Graph Transformer for Pedestrian Trajectory Prediction. - Yu Liu; Yuexin Zhang; Kunming Li; Yongliang Qiao; Stewart Worrall 002; Youfu Li 001; He Kong (ITSC, 2023)

Cattle body detection based on YOLOv5-ASFF for precision livestock farming. - Yongliang Qiao; Yangyang Guo; Dongjian He (Comput. Electron. Agric., 2023)

Enhanced LiteHRNet based sheep weight estimation using RGB-D images. - Chong He; Yongliang Qiao; Rui Mao 012; Mei Li; Meili Wang (Comput. Electron. Agric., 2023)

Fusing vegetation index and ridge segmentation for robust vision based autonomous navigation of agricultural robots in vegetable farms. - Shuo Wang 014; Daobilige Su; Yiyu Jiang; Yu Tan; Yongliang Qiao; Shenghui Yang; Yuliang Feng; Nan Hu (Comput. Electron. Agric., 2023)

Vision-Based Cow Tracking and Feeding Monitoring for Autonomous Livestock Farming: The YOLOv5s-CA+DeepSORT-Vision Transformer. - Yangyang Guo; Wenhao Hong 001; Jiaxin Wu; Xiaoping Huang; Yongliang Qiao; He Kong (IEEE Robotics Autom. Mag., 2023)

CropFinder: AI-based Detection and Tracking of Crops for Precision Agriculture. - Savini Abayaratne; Daobilige Su; Yongliang Qiao (ISIE, 2024)

A framework for automatic analysis of sheep ruminating behavior based on keypoint detection. - Haotian Zhang; Yuan Ma; Yinghan Shi; Yongliang Qiao; Meili Wang (M2VIP, 2024)

Data Augmentation Guided Decouple Knowledge Distillation for Low-Resolution Fine-Grained Image Classification. - Haotian Zhang; Yongliang Qiao; Meili Wang (PRCV (4), 2024)

A study on an accurate modeling for distinguishing nitrogen, phosphorous and potassium status in summer maize using in situ canopy hyperspectral data. - Di Lin; Yue Chen; Yongliang Qiao; Ding Qin; Yuhong Miao; Kai Sheng; Lantao Li; Yilun Wang (Comput. Electron. Agric., 2024)

Segmentation and tracking of vegetable plants by exploiting vegetable shape feature for precision spray of agricultural robots. - Nan Hu; Daobilige Su; Shuo Wang; Xuechang Wang; Huiyu Zhong; Zimeng Wang; Yongliang Qiao; Yu Tan (J. Field Robotics, 2024)

Contrastive Graph Similarity Networks. - Luzhi Wang; Yizhen Zheng; Di Jin 001; Fuyi Li; Yongliang Qiao; Shirui Pan (ACM Trans. Web, 2024)

Guest Editorial of the Special Section on Physical Safety and Security for Outdoor Electronic Devices. - Lei Shu 001; Han-Chieh Chao; Gerhard P. Hancke 002; Ye Liu 004; Yongliang Qiao; Yuli Yang (IEEE Trans. Consumer Electron., 2024)

Dynamic Quadruple Optimization Based Transfer Learning for Animal Biometric Identification. - Cheng Shang; Bo Jin; Feiyu Zhang; Chong He; Xubo Yang; Yongliang Qiao; Meili Wang (CSCWD, 2025)

Development of a six-axis force sensor system for paddy field walking wheel to construct load spectrum model for fatigue life analysis. - Miao Su; Zhihao Zeng; Jianfei He; Yongliang Qiao; Weiqing Jia; Ziyou Guo; Wenneng Zhong; Zuncheng Fan; Yizheng Dai; York Huang; Zaiman Wang (Comput. Electron. Agric., 2025)

Improved GAF and Siamese network based fresh waxy corn kernel force prediction using hyperspectral data. - Hengyi Wang; Jun Fu; Qiankun Fu; Yang Li; Yongliang Qiao; Xiaotan Liu (Comput. Electron. Agric., 2025)

Global sensitivity analyses prior to parameter calibration significantly improves prediction quality. - Chunhu Wang; Matthew Tom Harrison; Hamish Brown; Yongliang Qiao; Xiaogang Yin; Rui Yang; Yunbo Zhang; Meixue Zhou; Ke Liu (Comput. Electron. Agric., 2025)

One-stage keypoint detection network for end-to-end cow body measurement. - Guangyuan Yang; Yongliang Qiao; Hongxing Deng; Javen Qinfeng Shi; Huaibo Song (Eng. Appl. Artif. Intell., 2025)