Yiheng Tu

Orcid: 0000-0002-3495-9549

According to our database1, Yiheng Tu authored at least 24 papers between 2013 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
A Simple Approach to Automated Spectral Clustering.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
The role of negative emotions in sex differences in pain sensitivity.
NeuroImage, 2021

How expectations of pain elicited by consciously and unconsciously perceived cues unfold over time.
NeuroImage, 2021

Perturbing fMRI brain dynamics using transcranial direct current stimulation.
NeuroImage, 2021

EGGS: Eigen-Gap Guided Search Making Subspace Clustering Easy.
CoRR, 2021

2020
Characterizing the analgesic effects of real and imagined acupuncture using functional and structure MRI.
NeuroImage, 2020

2019
Identifying inter-individual differences in pain threshold using brain connectome: a test-retest reproducible study.
NeuroImage, 2019

A neural mechanism of direct and observational conditioning for placebo and nocebo responses.
NeuroImage, 2019

Decreased structural connectivity and resting-state brain activity in the lateral occipital cortex is associated with social communication deficits in boys with autism spectrum disorder.
NeuroImage, 2019

Transient increased thalamic-sensory connectivity and decreased whole-brain dynamism in autism.
NeuroImage, 2019

2018
Characterizing dynamic amplitude of low-frequency fluctuation and its relationship with dynamic functional connectivity: An application to schizophrenia.
NeuroImage, 2018

A novel and effective fMRI decoding approach based on sliced inverse regression and its application to pain prediction.
Neurocomputing, 2018

2017
A least across-segment variance (LASV) method for the correction of EEG-fMRI desynchronization.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

2016
Single-trial analysis of electroencephalography and functional magnetic resonance imaging for brain decoding.
PhD thesis, 2016

Decoding Subjective Intensity of Nociceptive Pain from Pre-stimulus and Post-stimulus Brain Activities.
Frontiers Comput. Neurosci., 2016

Normalization of Pain-Evoked Neural Responses Using Spontaneous EEG Improves the Performance of EEG-Based Cross-Individual Pain Prediction.
Frontiers Comput. Neurosci., 2016

N1 Magnitude of Auditory Evoked Potentials and Spontaneous Functional Connectivity Between Bilateral Heschl's Gyrus Are Coupled at Interindividual Level.
Brain Connect., 2016

2015
PCA-SIR: A new nonlinear supervised dimension reduction method with application to pain prediction from EEG.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

Supervised nonlinear dimension reduction of functional magnetic resonance imaging data using Sliced Inverse Regression.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Joint source separation of simultaneous EEG-fMRI recording in two experimental conditions using common spatial patterns.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Joint collaborative representation based sleep stage classification with multi-channel EEG signals.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

L0-regularized time-varying sparse inverse covariance estimation for tracking dynamic fMRI brain networks.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Prediction of pain perception using multivariate pattern analysis of laser-evoked EEG oscillations.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

2013
Single-trial detection of visual evoked potentials by common spatial patterns and wavelet filtering for brain-computer interface.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013


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