Xiaofeng Liu

Orcid: 0000-0002-4514-2016

Affiliations:
  • Harvard Medical School, Boston, MA, USA
  • Carnegie Mellon University, Pittsburgh, USA (former)
  • Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics, China (former)


According to our database1, Xiaofeng Liu authored at least 96 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Subtype-Aware Dynamic Unsupervised Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Speech motion anomaly detection via cross-modal translation of 4D motion fields from tagged MRI.
CoRR, 2024

Treatment-wise Glioblastoma Survival Inference with Multi-parametric Preoperative MRI.
CoRR, 2024

Disentangled Multimodal Brain MR Image Translation via Transformer-based Modality Infuser.
CoRR, 2024

2023
Source-free domain adaptive segmentation with class-balanced complementary self-training.
Artif. Intell. Medicine, December, 2023

Attentive continuous generative self-training for unsupervised domain adaptive medical image translation.
Medical Image Anal., August, 2023

Noise-Robust Sleep Staging via Adversarial Training With an Auxiliary Model.
IEEE Trans. Biomed. Eng., April, 2023

Inducing semantic hierarchy structure in empirical risk minimization with optimal transport measures.
Neurocomputing, April, 2023

Memory consistent unsupervised off-the-shelf model adaptation for source-relaxed medical image segmentation.
Medical Image Anal., 2023

Posterior Estimation for Dynamic PET imaging using Conditional Variational Inference.
CoRR, 2023

Bias and Fairness in Chatbots: An Overview.
CoRR, 2023

NFI<sub>2</sub>: Learning Noise-Free Illuminance-Interpolator for Unsupervised Low-Light Image Enhancement.
CoRR, 2023

Posterior Estimation Using Deep Learning: A Simulation Study of Compartmental Modeling in Dynamic PET.
CoRR, 2023

Synthesizing audio from tongue motion during speech using tagged MRI via transformer.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Speech Audio Synthesis from Tagged MRI and Non-negative Matrix Factorization via Plastic Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Outlier Robust Disease Classification via Stochastic Confidence Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Successive Subspace Learning for Cardiac Disease Classification with Two-Phase Deformation Fields from Cine MRI.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume Segmentation.
Proceedings of the Information Processing in Medical Imaging, 2023

Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmark.
Proceedings of the Image and Graphics - 12th International Conference, 2023

2022
Wasserstein Loss With Alternative Reinforcement Learning for Severity-Aware Semantic Segmentation.
IEEE Trans. Intell. Transp. Syst., 2022

Brain MR Atlas Construction Using Symmetric Deep Neural Inpainting.
IEEE J. Biomed. Health Informatics, 2022

Interpreting Depression From Question-Wise Long-Term Video Recording of SDS Evaluation.
IEEE J. Biomed. Health Informatics, 2022

VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI.
IEEE J. Biomed. Health Informatics, 2022

Mutual Information Regularized Feature-Level Frankenstein for Discriminative Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Constraining pseudo-label in self-training unsupervised domain adaptation with energy-based model.
Int. J. Intell. Syst., 2022

Unsupervised Domain Adaptation for Segmentation with Black-box Source Model.
CoRR, 2022

Subtype-Aware Dynamic Unsupervised Domain Adaptation.
CoRR, 2022

Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives.
CoRR, 2022

Multimodal fusion diagnosis of depression and anxiety based on CNN-LSTM model.
Comput. Medical Imaging Graph., 2022

Measuring strain in diffusion-weighted data using tagged magnetic resonance imaging.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Unsupervised domain adaptation for segmentation with black-box source model.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Structure-aware unsupervised tagged-to-cine MRI synthesis with self disentanglement.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Variational inference for quantifying inter-observer variability in segmentation of anatomical structures.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

ACT: Semi-supervised Domain-Adaptive Medical Image Segmentation with Asymmetric Co-training.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Tagged-MRI Sequence to Audio Synthesis via Self Residual Attention Guided Heterogeneous Translator.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Self-Semantic Contour Adaptation for Cross Modality Brain Tumor Segmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Cmri2spec: Cine MRI Sequence to Spectrogram Synthesis via A Pairwise Heterogeneous Translator.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Mutual information regularized identity-aware facial expression recognition in compressed video.
Pattern Recognit., 2021

Automated interpretation of congenital heart disease from multi-view echocardiograms.
Medical Image Anal., 2021

Floor-of-the-mouth muscle function analysis using dynamic magnetic resonance imaging.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Generative Self-training for Cross-Domain Unsupervised Tagged-to-Cine MRI Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Dual-Cycle Constrained Bijective Vae-Gan For Tagged-To-Cine Magnetic Resonance Image Synthesis.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

A Unified Conditional Disentanglement Framework For Multimodal Brain Mr Image Translation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk Minimization.
Proceedings of the IEEE International Conference on Acoustics, 2021

Deep 3D-CNN for Depression Diagnosis with Facial Video Recording of Self-Rating Depression Scale Questionnaire.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Segmentation of Cardiac Structures via Successive Subspace Learning with Saab Transform from Cine MRI.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Dependency-Aware Attention Control for Image Set-Based Face Recognition.
IEEE Trans. Inf. Forensics Secur., 2020

Unimodal regularized neuron stick-breaking for ordinal classification.
Neurocomputing, 2020

Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training.
CoRR, 2020

Mutual Information Regularized Identity-aware Facial ExpressionRecognition in Compressed Video.
CoRR, 2020

Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving.
CoRR, 2020

A Real Time Multi-thread Underwater Images Enhancement System<sup>*</sup>.
Proceedings of the International Conference on System Science and Engineering, 2020

Identity-aware Facial Expression Recognition in Compressed Video.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Energy-constrained Self-training for Unsupervised Domain Adaptation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

AUTO3D: Novel View Synthesis Through Unsupervisely Learned Variational Viewpoint and Global 3D Representation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Classification-aware Semi-supervised Domain Adaptation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Image2Audio: Facilitating Semi-supervised Audio Emotion Recognition with Facial Expression Image.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Wasserstein Loss based Deep Object Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Severity-Aware Semantic Segmentation With Reinforced Wasserstein Training.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Symmetric-Constrained Irregular Structure Inpainting for Brain MRI Registration with Tumor Pathology.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Hard negative generation for identity-disentangled facial expression recognition.
Pattern Recognit., 2019

Towards Disentangled Representations for Human Retargeting by Multi-view Learning.
CoRR, 2019

Unimodal-uniform Constrained Wasserstein Training for Medical Diagnosis.
CoRR, 2019

Attention Control with Metric Learning Alignment for Image Set-based Recognition.
CoRR, 2019

Unimodal-Uniform Constrained Wasserstein Training for Medical Diagnosis.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Confidence Regularized Self-Training.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Conservative Wasserstein Training for Pose Estimation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Permutation-Invariant Feature Restructuring for Correlation-Aware Image Set-Based Recognition.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Feature-Level Frankenstein: Eliminating Variations for Discriminative Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Image Inpainting using Block-wise Procedural Training with Annealed Adversarial Counterpart.
CoRR, 2018

Normalized face image generation with perceptron generative adversarial networks.
Proceedings of the IEEE 4th International Conference on Identity, 2018

Data Augmentation via Latent Space Interpolation for Image Classification.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

A joint optimization framework of low-dimensional projection and collaborative representation for discriminative classification.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Contextual-Based Image Inpainting: Infer, Match, and Translate.
Proceedings of the Computer Vision - ECCV 2018, 2018

Ordinal Regression with Neuron Stick-Breaking for Medical Diagnosis.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Dependency-Aware Attention Control for Unconstrained Face Recognition with Image Sets.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Adaptive Deep Metric Learning for Identity-Aware Facial Expression Recognition.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2012
Incompressible Deformation Estimation Algorithm (IDEA) From Tagged MR Images.
IEEE Trans. Medical Imaging, 2012

2011
A deformable surface model based automatic rat brain extraction method.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Shortest Path Refinement for Motion Estimation From Tagged MR Images.
IEEE Trans. Medical Imaging, 2010

2009
Prostate Brachytherapy Seed Reconstruction With Gaussian Blurring and Optimal Coverage Cost.
IEEE Trans. Medical Imaging, 2009

Shortest path refinement For HARP motion tracking.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

Incompressible Cardiac Motion Estimation of the Left Ventricle Using Tagged MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

2008
Prostate Brachytherapy Seed Localization with Gaussian Blurring and Camera Self-calibration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Tomosynthesis-based radioactive seed localization in prostate brachytherapy using modified distance map images.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007
Prostate Implant Reconstruction with Discrete Tomography.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Harp Tracking Refinement Using Seeded Region Growing.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006
Tracking tongue motion in three dimensions using tagged MR image.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006


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