Qi Yu

American Society for Photogrammetry and Remote Sensing — United States

Computer Science · Physical Sciences

9h-index615citations21works2.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Machine Learning and ELM(8), Neural Networks and Applications(6), Face and Expression Recognition(5), Advanced Neural Network Applications(4), Financial Distress and Bankruptcy Prediction(3)

Publications21 total

Semantic Segmentation of Remote Sensing Images: An Improved U-Net Based Approach for Natural Resource Elements Identification
2025
Can artificial intelligence mitigate corporate fraud? Exploring the influence of institutional cross-holdings and financial misallocation
Pacific-Basin Finance Journal·2025· 4 cited
Salt dome identification using incremental semi-supervised learning and unsupervised learning-based label generation
Journal of Applied Geophysics·2024· 2 cited
Giant panda age recognition based on a facial image deep learning system
Ecology and Evolution·2022· 9 citedOpen Access
Ages of giant panda can be accurately predicted using facial images and machine learning
Ecological Informatics·2022· 9 citedOpen Access
DSSA: Dual-Side Sparse Systolic Array Architecture for Accelerating Convolutional Neural Network Training
2022· 2 cited
A Compact Soft Ordinal Regression Network for Age Estimation
2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)·2021· 3 cited
Evaluating performance of AI operators using roofline model
Applied Intelligence·2021· 7 cited
L1CAM Overexpression Promotes Tumor Progression Through Recruitment of Regulatory T Cells in Esophageal Carcinoma
SSRN Electronic Journal·2020· 2 citedOpen Access
Immunogenicity and protective efficacy of DMT liposome-adjuvanted tuberculosis subunit CTT3H vaccine
Human Vaccines & Immunotherapeutics·2015· 21 citedOpen Access
Extreme learning machine towards dynamic model hypothesis in fish ethology research
Neurocomputing·2013· 54 cited
Ensemble delta test-extreme learning machine (DT-ELM) for regression
Neurocomputing·2013· 39 cited
Bankruptcy prediction using Extreme Learning Machine and financial expertise
Neurocomputing·2013· 142 cited
Fast Face Recognition Via Sparse Coding and Extreme Learning Machine
Cognitive Computation·2013· 57 cited
Regularized extreme learning machine for regression with missing data
Neurocomputing·2012· 118 cited
A Feasible Nonconvex Relaxation Approach to Feature Selection
Proceedings of the AAAI Conference on Artificial Intelligence·2011· 99 citedOpen Access
Ensembles of Local Linear Models for Bankruptcy Analysis and Prediction
2011· 15 cited
OP-KNN: Method and Applications
Advances in Artificial Neural Systems·2010· 6 citedOpen Access
OPELM and OPKNN in long-term prediction of time series using projected input data
Neurocomputing·2010· 22 cited
Ensembles of Locally Linear Models: Application to Bankruptcy Prediction.
DMIN·2010· 2 cited
page 1 of 2Next →

Frequent Co-authors

Yoan Miché(10), Éric Séverin(8), Amaury Lendasse(7), Mark van Heeswijk(4), Emil Eirola(3), Rui Nian(3), Hang-Xing Zang(3), Bo He(2), Antti Sorjamaa(2), Laura Kainulainen(2), Han Su(2), Rong Hou(2), Mengnan He(2), Zhengbo Chen(2), Feng Guo(2), Zuoning Chen(2), Cuixia Gao(1), Naiyan Wang(1), Zhihua Zhang(1), Dongxun Xu(1)