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We stand with Ukraine

Jia-Li Yin

Orcid: 0000-0002-8087-9769

According to our database¹, Jia-Li Yin authored at least 36 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Towards Trustworthy Unsupervised Domain Adaptation: A Representation Learning Perspective for Enhancing Robustness, Discrimination, and Generalization.

[BibT_eX]

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CoRR, 2024

Towards Adversarial-Robust Class-Incremental Learning via Progressively Volume-Up Perturbation Generation.

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Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Adversarial Example Quality Assessment: A Large-scale Dataset and Strong Baseline.

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Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

MEAT: Median-Ensemble Adversarial Training for Improving Robustness and Generalization.

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Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Global Learnable Attention for Single Image Super-Resolution.

[BibT_eX]

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Guang-Yong Chen

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C. L. Philip Chen

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Push Stricter to Decide Better: A Class-Conditional Feature Adaptive Framework for Improving Adversarial Robustness.

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IEEE Trans. Inf. Forensics Secur., 2023

Q-TrHDRI: A Qurey-Based Transformer for High Dynamic Range Imaging with Dynamic Scenes.

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Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction.

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Proceedings of the 31st ACM International Conference on Multimedia, 2023

An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability.

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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SRoUDA: Meta Self-Training for Robust Unsupervised Domain Adaptation.

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Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Automatic Intermediate Generation With Deep Reinforcement Learning for Robust Two-Exposure Image Fusion.

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IEEE Trans. Neural Networks Learn. Syst., 2022

Two Exposure Fusion Using Prior-Aware Generative Adversarial Network.

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IEEE Trans. Multim., 2022

Deep Trident Decomposition Network for Single License Plate Image Glare Removal.

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Hsiang-Yin Cheng

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IEEE Trans. Intell. Transp. Syst., 2022

Automatic Itinerary Planning Using Triple-Agent Deep Reinforcement Learning.

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IEEE Trans. Intell. Transp. Syst., 2022

Two-Pass Bilateral Smooth Filtering for Remote Sensing Imagery.

[BibT_eX]

[DOI]

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Hsiang-Yin Cheng

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IEEE Geosci. Remote. Sens. Lett., 2022

Actor-Critic Bilateral Filter for Noise-Robust Image Smoothing.

[BibT_eX]

[DOI]

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Hsiang-Yin Cheng

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Proceedings of the IEEE International Symposium on Multimedia, 2022

Adaptive Actor-Critic Bilateral Filter.

[BibT_eX]

[DOI]

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Hsiang-Yin Cheng

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Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Deep Battery Saver: End-to-End Learning for Power Constrained Contrast Enhancement.

[BibT_eX]

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IEEE Trans. Multim., 2021

Push Stricter to Decide Better: A Class-Conditional Feature Adaptive Framework for Improving Adversarial Robustness.

[BibT_eX]

[DOI]

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CoRR, 2021

Robust Single-Step Adversarial Training with Regularizer.

[BibT_eX]

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Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Model-Agnostic Adversarial Example Detection Through Logit Distribution Learning.

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Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Towards Transferable Adversarial Examples Using Meta Learning.

[BibT_eX]

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Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

2020

Driver Danger-Level Monitoring System Using Multi-Sourced Big Driving Data.

[BibT_eX]

[DOI]

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Kuo-Hua Robert Lai

IEEE Trans. Intell. Transp. Syst., 2020

Color Transferred Convolutional Neural Networks for Image Dehazing.

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IEEE Trans. Circuits Syst. Video Technol., 2020

Power-Constrained Image Contrast Enhancement Through Sparse Representation by Joint Mixed-Norm Regularization.

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IEEE Trans. Circuits Syst. Video Technol., 2020

Gaussian-Adaptive Bilateral Filter.

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IEEE Signal Process. Lett., 2020

Deep Prior Guided Network For High-Quality Image Fusion.

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Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Single Image Glare Removal Using Deep Convolutional Networks.

[BibT_eX]

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Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Color Shifting-Aware Image Dehazing.

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Proceedings of the IEEE International Symposium on Multimedia, 2019

Towards Unsupervised Single Image Dehazing With Deep Learning.

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Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Towards Perspective-Free Pavement Distress Detection via Deep Learning.

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Proceedings of the IEEE 8th Global Conference on Consumer Electronics, 2019

Smoke 100k: A Database for Smoke Detection.

[BibT_eX]

[DOI]

Hsiang-Yin Cheng

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Proceedings of the IEEE 8th Global Conference on Consumer Electronics, 2019

2018

Highly Accurate Image Reconstruction for Multimodal Noise Suppression Using Semisupervised Learning on Big Data.

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IEEE Trans. Multim., 2018

An Advanced Driver Risk Measurement System for Usage-Based Insurance on Big Driving Data.

[BibT_eX]

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IEEE Trans. Intell. Veh., 2018

Saliency-Guided Deep Framework for Power Consumption Suppressing on Mobile Devices.

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Proceedings of the 1st IEEE International Conference on Knowledge Innovation and Invention, 2018

2017

Image Noise Removing Using Semi-supervised Learning on Big Image Data.

[BibT_eX]

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Proceedings of the Third IEEE International Conference on Multimedia Big Data, 2017

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