An Erratum on the Multiproduct Network Equilibrium Model. - Yunan Wu; T. C. E. Cheng (Oper. Res., 2011)

Super Efficiency of Multicriterion Network Equilibrium Model and Vector Variational Inequality. - Yunan Wu; Yuchen Peng; Long Peng; Ling Xu (J. Optim. Theory Appl., 2012)

Phonetic category activation drives dimension-based adaptive tuning in speech perception. - Yunan Wu; Lori L. Holt (CogSci, 2018)

Behavioral and electrophysiological evidence of incidental learning, generalization and retention of speech categories from continuous speech. - Yunan Wu; Lori L. Holt; Ran Liu 008; Sung-joo Lim (CogSci, 2018)

A Comparison of 1-D and 2-D Deep Convolutional Neural Networks in ECG Classification. - Yunan Wu; Feng Yang; Ying Liu; Xuefan Zha; Shaofeng Yuan (CoRR, 2018)

A Survey of Tuning Parameter Selection for High-dimensional Regression. - Yunan Wu; Lan Wang (CoRR, 2019)

Go-selfies: A Fast Selfies Background Removal Method Using ResU-Net Deep Learning. - Yunan Wu (EUSIPCO, 2020)

Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes. - Emanuel A. Azcona; Pierre Besson; Yunan Wu; Arjun Punjabi; Adam Martersteck; Amil Dravid; Todd B. Parrish; S. Kathleen Bandt; Aggelos K. Katsaggelos (ShapeMI@MICCAI, 2020)

Combining Attention-Based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection. - Yunan Wu; Arne Schmidt 005; Enrique Hernández-Sánchez; Rafael Molina 001; Aggelos K. Katsaggelos (MICCAI (2), 2021)

Investigating the Potential of Auxiliary-Classifier Gans for Image Classification in Low Data Regimes. - Amil Dravid; Florian Schiffers; Yunan Wu; Oliver Cossairt; Aggelos K. Katsaggelos (ICASSP, 2022)

Reconstruction of Resting State FMRI Using LSTM Variational Auto-Encoder on Subcortical Surface to Detect Epilepsy. - Yunan Wu; Pierre Besson; Emanuel A. Azcona; S. Kathleen Bandt; Todd B. Parrish; Aggelos K. Katsaggelos (ISBI, 2022)

A deep learning fusion model with evidence-based confidence level analysis for differentiation of malignant and benign breast tumors using dynamic contrast enhanced MRI. - Yunan Wu; Jing Wu; Yuting Dou; Nicholas Rubert; Yi Wang; Jie Deng (Biomed. Signal Process. Control., 2022)

Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection. - Miguel López-Pérez; Arne Schmidt 005; Yunan Wu; Rafael Molina 001; Aggelos K. Katsaggelos (Comput. Methods Programs Biomed., 2022)

Can Deep Learning Assist Automatic Identification of Layered Pigments From XRF Data? - Bingjie Xu; Yunan Wu; Pengxiao Hao; Marc Vermeulen; Alicia McGeachy; Kate Smith 001; Katherine Eremin; Georgina Rayner; Giovanni Verri; Florian Willomitzer; Matthias Alfeld; Jack Tumblin; et al. (CoRR, 2022)

Usformer: A Light Neural Network for Left Atrium Segmentation of 3D LGE MRI. - Hui Lin; Santiago Lopez Tapia; Florian Schiffers; Yunan Wu; Huili Yang; Nikolay Iakovlev; Bradley D. Allen; Ryan Avery; Daniel C. Lee 002; Daniel Kim 002; Aggelos K. Katsaggelos (EUSIPCO, 2023)

Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection. - Yunan Wu; Francisco M. Castro-Macías; Pablo Morales-Álvarez; Rafael Molina 001; Aggelos K. Katsaggelos (MICCAI (5), 2023)

Cognitive and Emotional Monitoring with Inexpensive Wrist-Worn Consumer-Grade Wearables. - Yunan Wu; Roxana Valdez; Clifton Forlines (PerCom Workshops, 2023)

DeepCOVID-Fuse: A Multi-modality Deep Learning Model Fusing Chest X-Radiographs and Clinical Variables to Predict COVID-19 Risk Levels. - Yunan Wu; Amil Dravid; Ramsey Michael Wehbe; Aggelos K. Katsaggelos (CoRR, 2023)

The ART of Transfer Learning: An Adaptive and Robust Pipeline. - Boxiang Wang; Yunan Wu; Chenglong Ye (CoRR, 2023)

Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave Glitches. - Yi Li; Yunan Wu; Aggelos K. Katsaggelos (CVPR Workshops, 2024)

Sm: enhanced localization in Multiple Instance Learning for medical imaging classification. - Francisco M. Castro-Macías; Pablo Morales-Alvarez; Yunan Wu; Rafael Molina 001; Aggelos K. Katsaggelos (NeurIPS, 2024)

Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection. - Francisco M. Castro-Macías; Pablo Morales-Álvarez; Yunan Wu; Rafael Molina 001; Aggelos K. Katsaggelos (Artif. Intell., 2024)

An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance learning in CT hemorrhage detection. - Jose Pérez-Cano; Yunan Wu; Arne Schmidt 005; Miguel López-Pérez; Pablo Morales-Álvarez; Rafael Molina 001; Aggelos K. Katsaggelos (Expert Syst. Appl., 2024)

Arbitrary style transformation algorithm based on multi-scale fusion and compressed attention in art and design. - Yunan Wu; Haitao Zhang (Intell. Decis. Technol., 2024)

A deep learning method for predicting the COVID-19 ICU patient outcome fusing X-rays, respiratory sounds, and ICU parameters. - Yunan Wu; Bruno Miguel Machado Rocha; Evangelos Kaimakamis; Grigorios-Aris Cheimariotis; Georgios Petmezas; Evangelos Chatzis; Vassilis Kilintzis; Leandros Stefanopoulos; Diogo Pessoa; Alda Marques; Paulo Carvalho 001; Rui Pedro Paiva; et al. (Expert Syst. Appl., 2024)

Probabilistic smooth attention for deep multiple instance learning in medical imaging. - Francisco M. Castro-Macías; Pablo Morales-Álvarez; Yunan Wu; Rafael Molina 001; Aggelos K. Katsaggelos (Pattern Recognit., 2026)