3D localization of circular feature in 2D image and application to food volume estimation. - Wenyan Jia; Yaofeng Yue; John D. Fernstrom; Zhengnan Zhang; Yongquan Yang; Mingui Sun (EMBC, 2012)

A Novel Implementation of a Hash Function Based on XML DOM Parser. - Dandan Yang; Zhiqiang Wei 002; Yongquan Yang (CyberC, 2015)

Research on SQLite Database Encryption Technology in Instant Messaging Based on Android Platform. - Aite Zhao; Zhiqiang Wei 002; Yongquan Yang (IScIDE (2), 2015)

Online education performance prediction via time-related features. - Bowei Hong; Zhiqiang Wei 002; Yongquan Yang (ICIS, 2017)

Research on Chinese Named Entity Recognition in the Marine Field. - Xiaojuan Cao; Yongquan Yang (ACAI, 2018)

Collaborative strategy for visual object tracking. - Yongquan Yang; Ning Chen; Shenlu Jiang (Multim. Tools Appl., 2018)

A two-Layer Cascading method for dropout Prediction in MOOC. - Bowei Hong; Zhiqiang Wei 002; Yongquan Yang (Mechatron. Syst. Control., 2019)

Explorations on visual localization from active to passive. - Yongquan Yang; Yang Wu 001; Ning Chen (Multim. Tools Appl., 2019)

Food Volume Estimation Based on Reference. - Yuanyuan Liu; Jianqiang Lai; Wenjie Sun; Zhiqiang Wei 002; Ailing Liu; Weiyan Gong; Yongquan Yang (ICIAI, 2020)

Moderately supervised learning: definition and framework. - Yongquan Yang; Zhongxi Zheng (CoRR, 2020)

Handling Noisy Labels via One-Step Abductive Multi-Target Learning. - Yongquan Yang; Yiming Yang; Jie Chen; Jiayi Zheng; Zhongxi Zheng (CoRR, 2020)

FTBME: feature transferring based multi-model ensemble. - Yongquan Yang; Haijun Lv; Ning Chen; Yang Wu 001; Zhongxi Zheng (Multim. Tools Appl., 2020)

Detecting helicobacter pylori in whole slide images via weakly supervised multi-task learning. - Yongquan Yang; Yiming Yang; Yong Yuan; Jiayi Zheng; Zhongxi Zheng (Multim. Tools Appl., 2020)

Discussion of Ensemble Learning under the Era of Deep Learning. - Yongquan Yang; Haijun Lv (CoRR, 2021)

One-Step Abductive Multi-Target Learning with Diverse Noisy Samples. - Yongquan Yang (CoRR, 2021)

Logical Assessment Formula and its Principles for Evaluations without Accurate Ground-Truth Labels. - Yongquan Yang (CoRR, 2021)

Accelerating DES and AES Algorithms for a Heterogeneous Many-core Processor. - Biao Xing; Dandan Wang; Yongquan Yang; Zhiqiang Wei 002; Jiajing Wu; Cuihua He (Int. J. Parallel Program., 2021)

Local minima found in the subparameter space can be effective for ensembles of deep convolutional neural networks. - Yongquan Yang; Haijun Lv; Ning Chen; Yang Wu 001; Jiayi Zheng; Zhongxi Zheng (Pattern Recognit., 2021)

One-Step Abductive Multi-Target Learning with Diverse Noisy Label Samples. - Yongquan Yang (CoRR, 2022)

Cloud Task Scheduling Based on Proximal Policy Optimization Algorithm for Lowering Energy Consumption of Data Center. - Yongquan Yang; Cuihua He; Bo Yin; Zhiqiang Wei 002; Bowei Hong (KSII Trans. Internet Inf. Syst., 2022)

Few-Shot Object Detection Using Multimodal Sensor Systems of Unmanned Surface Vehicles. - Bowei Hong; Yuandong Zhou; Huacheng Qin; Zhiqiang Wei 002; Hao Liu 045; Yongquan Yang (Sensors, 2022)

Experts' cognition-driven safe noisy labels learning for precise segmentation of residual tumor in breast cancer. - Yongquan Yang; Jie Chen; Yani Wei; Mohammad Alobaidi; Hong Bu (CoRR, 2023)

Experts' cognition-driven ensemble deep learning for external validation of predicting pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer. - Yongquan Yang; Fengling Li; Yani Wei; Yuanyuan Zhao; Jing Fu; Xiuli Xiao; Hong Bu (CoRR, 2023)

Validation of the Practicability of Logical Assessment Formula for Evaluations with Inaccurate Ground-Truth Labels. - Yongquan Yang; Hong Bu (CoRR, 2023)

A Survey on ensemble learning under the era of deep learning. - Yongquan Yang; Haijun Lv; Ning Chen (Artif. Intell. Rev., 2023)

Exponential distance transform maps for cell localization. - Bo Li 128; Jie Chen; Hang Yi; Min Feng; Yongquan Yang; Qikui Zhu; Hong Bu (Eng. Appl. Artif. Intell., 2024)

One-step abductive multi-target learning with diverse noisy samples and its application to tumour segmentation for breast cancer. - Yongquan Yang; Fengling Li; Yani Wei; Jie Chen; Ning Chen; Mohammad Alobaidi; Hong Bu (Expert Syst. Appl., 2024)

Difference-Deformable Convolution With Pseudo Scale Instance Map for Cell Localization. - Chengyang Zhang; Jie Chen; Bo Li 128; Min Feng; Yongquan Yang; Qikui Zhu; Hong Bu (IEEE J. Biomed. Health Informatics, 2024)

Moderately supervised learning: definition, framework and generality. - Yongquan Yang (Artif. Intell. Rev., 2024)

Logical assessment formula and its principles for evaluations with inaccurate ground-truth labels. - Yongquan Yang (Knowl. Inf. Syst., 2024)

Handling noisy labels via one-step abductive multi-target learning and its application to helicobacter pylori segmentation. - Yongquan Yang; Yiming Yang; Jie Chen; Jiayi Zheng; Zhongxi Zheng (Multim. Tools Appl., 2024)

ZoomViT: an observation behavior-based fine-grained recognition scheme. - Zhipeng Ma; Yongquan Yang; Haicheng Wang; Lei Huang 010; Zhiqiang Wei 002 (Neural Comput. Appl., 2024)

An entity alignment approach coupling NGBoost and SHAP for constructing spatio-temporal evolution knowledge graph from historical atlases. - Yongquan Yang; Min Cao; Dehui Kong; Xue Hu; Xueying Zhang; Min Chen 008 (Int. J. Geogr. Inf. Sci., 2024)

GEUKE: A geographic entities uniformly explicit knowledge embedding model. - Yongquan Yang; Dehui Kong; Min Cao; Min Chen 008 (Trans. GIS, 2024)