Projects

An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability.
Bin Chen, Jia-Li Yin, Bo-Hao Chen, and Ximeng Liu ICCV 2023 [pdf] [bib] [code]
MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction.
Luojun Lin, Zhifeng Shen, Jia-Li Yin, Qipeng Liu, yuanlong yu, Weijie Chen ACM MM 2023 [pdf] [bib] [code]
Push Stricter to Decide Better: A Class-Conditional Feature Adaptive Framework for Improving Adversarial Robustness.
Jia-Li Yin, Bin Chen, Wanqing Zhu, Bo-Hao Chen, and Ximeng Liu IEEE Transactions on Information Forensics and Security (TIFS) [pdf] [bib] [code]
SRoUDA: Meta Self-training for Robust Unsupervised Domain Adaptation.
Wanqing Zhu, Jia-Li Yin, Bo-Hao Chen, and Ximeng Liu AAAI 2023 [pdf] [bib] [code]
Global Learnable Attention for Single Image Super-Resolution.
Jian-Nan Su; Min Gan; Guang-Yong Chen; Jia-Li Yin; C. L. Philip Chen IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) [pdf] [bib] [code]
Automatic Intermediate Generation with Deep Reinforcement Learning for Robust Two-exposure Image Fusion.
Jian-Nan Su; Min Gan; Guang-Yong Chen; Jia-Li Yin; C. L. Philip Chen IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) [pdf] [bib] [code]
Global Learnable Attention for Single Image Super-Resolution.
Jian-Nan Su; Min Gan; Guang-Yong Chen; Jia-Li Yin; C. L. Philip Chen IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) [pdf] [bib] [code]
Deep Battery Saver: End-to-end Learning for Power Constrained Contrast Enhancement.
J. L. Yin, B. H. Chen, Y. T. Peng, and C. C. Tsai
IEEE Transactions on Neural Networks and Learning Systems (TNNLS) [pdf] [bib] [code]

Deep Trident Decomposition Network for Single License Plate Image Glare Removal.
B. H. Chen, S. Ye, J. L. Yin, H. Y. Cheng and D. Chen
IEEE Transactions on Intelligent Transportation Systems
[pdf] [bib] [code]

Deep Prior Guided Network For High-Quality Image Fusion.
Jia-Li Yin, Bo-Hao Chen, Yan-Tsung Peng, and Chung-Chi Tsai
2020 IEEE International Conference on Multimedia and Expo (ICME)
[Paper] [Bibtex] [Project]

Gaussian-Adaptive Bilateral Filter.
Bo-Hao Chen, Yi-Syuan Tseng, and Jia-Li Yin
IEEE Signal Processing Letters
[Paper] [Bibtex] [Project]

Power-constrained Image Contrast Enhancement through Sparse Representation by Joint Mixed-norm Regularization.
Jia-Li Yin, Bo-Hao Chen, En-Hung Lai, and Lin-Feng Shi
IEEE Transactions on Circuits and Systems for Video Technology
[Paper] [Bibtex] [Project]

Color Transferred Convolutional Neural Networks for Image Dehazing.
Jia-Li Yin, Yi-Chi. Huang, Bo-Hao Chen, and Shao-Zhen Ye
IEEE Transactions on Circuits and Systems for Video Technology
[Paper] [Bibtex] [Project]

An Advanced Driver Risk Measurement System for Usage-Based Insurance on Big Driving Data.
Jia-Li Yin, Bo-Hao Chen
IEEE Transactions on Intelligent Vehicles
[Paper] [Bibtex] [Project]

Highly Accurate Image Reconstruction for Multimodal Noise Suppression Using Semisupervised Learning on Big Data.
Jia-Li Yin, Bo-Hao Chen, and Ying Li
IEEE Transactions on Multimedia
[Paper] [Bibtex] [Project]

Driver Danger-Level Monitoring System Using Multi-Sourced Big Driving Data.
Jia-Li Yin, Bo-Hao Chen, and K. Robert. Lai
IEEE Transactions on Intelligent Transportation Systems
[Paper] [Bibtex]

Automatic Dangerous Driving Intensity Analysis for Advanced Driver Assistance Systems From Multimodal Driving Signals.
Jia-Li Yin, Bo-Hao Chen, and Ying Li
IEEE Sensors Journal
[Paper] [Bibtex]


More publications can be found here.