Image Noise Removing Using Semi-supervised Learning on Big Image Data. - Bo-Hao Chen; Jia-Li Yin; Ying Li (BigMM, 2017)

Saliency-Guided Deep Framework for Power Consumption Suppressing on Mobile Devices. - Jing Su; Yi-Chi Huang; Jia-Li Yin; Bo-Hao Chen; Shenming Qu (ICKII, 2018)

An Advanced Driver Risk Measurement System for Usage-Based Insurance on Big Driving Data. - Jia-Li Yin; Bo-Hao Chen (IEEE Trans. Intell. Veh., 2018)

Highly Accurate Image Reconstruction for Multimodal Noise Suppression Using Semisupervised Learning on Big Data. - Jia-Li Yin; Bo-Hao Chen; Ying Li (IEEE Trans. Multim., 2018)

Smoke 100k: A Database for Smoke Detection. - Hsiang-Yin Cheng; Jia-Li Yin; Bo-Hao Chen; Zhi-Min Yu (GCCE, 2019)

Towards Perspective-Free Pavement Distress Detection via Deep Learning. - Jia-Li Yin; Tzu-Hsuan Peng; Jo-Lan Kuan; Bo-Hao Chen (GCCE, 2019)

Towards Unsupervised Single Image Dehazing With Deep Learning. - Lu-Yao Huang; Jia-Li Yin; Bo-Hao Chen; Shao-Zhen Ye (ICIP, 2019)

Color Shifting-Aware Image Dehazing. - Jia-Li Yin; Bo-Hao Chen; Yan-Tsung Peng; Yu-Cheng Lin (ISM, 2019)

Single Image Glare Removal Using Deep Convolutional Networks. - Shiting Ye; Jia-Li Yin; Bo-Hao Chen; Dewang Chen; YunBing Wu (ICIP, 2020)

Deep Prior Guided Network For High-Quality Image Fusion. - Jia-Li Yin; Bo-Hao Chen; Yan-Tsung Peng; Chung-Chi Tsai (ICME, 2020)

Gaussian-Adaptive Bilateral Filter. - Bo-Hao Chen; Yi-Syuan Tseng; Jia-Li Yin (IEEE Signal Process. Lett., 2020)

Power-Constrained Image Contrast Enhancement Through Sparse Representation by Joint Mixed-Norm Regularization. - Jia-Li Yin; Bo-Hao Chen; En-Hung Lai; Ling-Feng Shi (IEEE Trans. Circuits Syst. Video Technol., 2020)

Color Transferred Convolutional Neural Networks for Image Dehazing. - Jia-Li Yin; Yi-Chi Huang; Bo-Hao Chen; Shao-Zhen Ye (IEEE Trans. Circuits Syst. Video Technol., 2020)

Driver Danger-Level Monitoring System Using Multi-Sourced Big Driving Data. - Jia-Li Yin; Bo-Hao Chen; Kuo-Hua Robert Lai (IEEE Trans. Intell. Transp. Syst., 2020)

Towards Transferable Adversarial Examples Using Meta Learning. - Mingyuan Fan 003; Jia-Li Yin; Ximeng Liu; Wenzhong Guo (ICA3PP (1), 2021)

Model-Agnostic Adversarial Example Detection Through Logit Distribution Learning. - Yaopeng Wang; Lehui Xie; Ximeng Liu; Jia-Li Yin; Tingjie Zheng (ICIP, 2021)

Robust Single-Step Adversarial Training with Regularizer. - Lehui Xie; Yaopeng Wang; Jia-Li Yin; Ximeng Liu (PRCV (4), 2021)

Push Stricter to Decide Better: A Class-Conditional Feature Adaptive Framework for Improving Adversarial Robustness. - Jia-Li Yin; Lehui Xie; Wanqing Zhu; Ximeng Liu; Bo-Hao Chen (CoRR, 2021)

Deep Battery Saver: End-to-End Learning for Power Constrained Contrast Enhancement. - Jia-Li Yin; Bo-Hao Chen; Yan-Tsung Peng; Chung-Chi Tsai (IEEE Trans. Multim., 2021)

Adaptive Actor-Critic Bilateral Filter. - Bo-Hao Chen; Hsiang-Yin Cheng; Jia-Li Yin (ICASSP, 2022)

Actor-Critic Bilateral Filter for Noise-Robust Image Smoothing. - Yi-Jie Chen; Yen-Chiao Wang; Bo-Hao Chen; Hsiang-Yin Cheng; Jia-Li Yin (ISM, 2022)

Two-Pass Bilateral Smooth Filtering for Remote Sensing Imagery. - Bo-Hao Chen; Hsiang-Yin Cheng; Yi-Syuan Tseng; Jia-Li Yin (IEEE Geosci. Remote. Sens. Lett., 2022)

Automatic Itinerary Planning Using Triple-Agent Deep Reinforcement Learning. - Bo-Hao Chen; Jin Han; Shengxin Chen; Jia-Li Yin; Zhaojiong Chen (IEEE Trans. Intell. Transp. Syst., 2022)

Deep Trident Decomposition Network for Single License Plate Image Glare Removal. - Bo-Hao Chen; Shiting Ye; Jia-Li Yin; Hsiang-Yin Cheng; Dewang Chen (IEEE Trans. Intell. Transp. Syst., 2022)

Two Exposure Fusion Using Prior-Aware Generative Adversarial Network. - Jia-Li Yin; Bo-Hao Chen; Yan-Tsung Peng (IEEE Trans. Multim., 2022)

Automatic Intermediate Generation With Deep Reinforcement Learning for Robust Two-Exposure Image Fusion. - Jia-Li Yin; Bo-Hao Chen; Yan-Tsung Peng; Hau Hwang (IEEE Trans. Neural Networks Learn. Syst., 2022)

SRoUDA: Meta Self-Training for Robust Unsupervised Domain Adaptation. - Wanqing Zhu; Jia-Li Yin; Bo-Hao Chen; Ximeng Liu (AAAI, 2023)

An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability. - Bin Chen; Jia-Li Yin; Shukai Chen; Bohao Chen; Ximeng Liu (ICCV, 2023)

MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction. - Luojun Lin; Zhifeng Shen; Jia-Li Yin; Qipeng Liu 004; Yuanlong Yu; Weijie Chen 006 (ACM Multimedia, 2023)

Q-TrHDRI: A Qurey-Based Transformer for High Dynamic Range Imaging with Dynamic Scenes. - Bin Chen; Jia-Li Yin; Bo-Hao Chen; Ximeng Liu (PRCV (11), 2023)

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; Ximeng Liu (IEEE Trans. Inf. Forensics Secur., 2023)

Global Learnable Attention for Single Image Super-Resolution. - Jian-Nan Su; Min Gan; Guang-Yong Chen; Jia-Li Yin; C. L. Philip Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

MEAT: Median-Ensemble Adversarial Training for Improving Robustness and Generalization. - Zhaozhe Hu; Jia-Li Yin; Bin Chen; Luojun Lin; Bo-Hao Chen; Ximeng Liu (ICASSP, 2024)

Adversarial Example Quality Assessment: A Large-scale Dataset and Strong Baseline. - Jia-Li Yin; Menghao Chen; Jin Han; Bo-Hao Chen; Ximeng Liu (ACM Multimedia, 2024)

Towards Adversarial-Robust Class-Incremental Learning via Progressively Volume-Up Perturbation Generation. - Yeliang You; Bin Chen; Jia-Li Yin; Ximeng Liu; Wei Lin (PRCV (2), 2024)

Towards Trustworthy Unsupervised Domain Adaptation: A Representation Learning Perspective for Enhancing Robustness, Discrimination, and Generalization. - Jia-Li Yin; Haoyuan Zheng; Ximeng Liu (CoRR, 2024)

Adversarial-Inspired Backdoor Defense via Bridging Backdoor and Adversarial Attacks. - Jia-Li Yin; Weijian Wang; Lyhwa; Wei Lin; Ximeng Liu (AAAI, 2025)