Li Liu

Orcid: 0000-0002-5184-054X

Affiliations:
  • University of California, Santa Cruz, CA, USA


According to our database1, Li Liu authored at least 12 papers between 2021 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Right this way: Can VLMs Guide Us to See More to Answer Questions?
CoRR, 2024

A Survey on Human-AI Teaming with Large Pre-Trained Models.
CoRR, 2024

2023
Silent Speech Interface With Vocal Speaker Assistance Based on Convolution-Augmented Transformer.
IEEE Trans. Instrum. Meas., 2023

Basic Taste Sensation Recognition From EEG Based on Multiscale Convolutional Neural Network With Residual Learning.
IEEE Trans. Instrum. Meas., 2023

SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Bimodal Fusion Network for Basic Taste Sensation Recognition from Electroencephalography and Electromyography.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Unsupervised Cross-User Adaptation in Taste Sensation Recognition Based on Surface Electromyography.
IEEE Trans. Instrum. Meas., 2022

CPSC: Conformal Prediction With Shrunken Centroids for Efficient Prediction Reliability Quantification and Data Augmentation, a Case in Alternative Herbal Medicine Classification With Electronic Nose.
IEEE Trans. Instrum. Meas., 2022

Bag of Tricks for FGSM Adversarial Training.
CoRR, 2022

2021
Quantitatively Recognizing Stimuli Intensity of Primary Taste Based on Surface Electromyography.
Sensors, 2021

Unsupervised cross-user adaptation in taste sensationrecognition based on surface electromyography withconformal prediction and domain regularizedcomponent analysis.
CoRR, 2021

Boost AI Power: Data Augmentation Strategies with unlabelled Data and Conformal Prediction, a Case in Alternative Herbal Medicine Discrimination with Electronic Nose.
CoRR, 2021


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