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Journal Articles
- 2023
[j14]Jian-Nan Su
, Min Gan, Guang-Yong Chen, Jia-Li Yin, C. L. Philip Chen:
Global Learnable Attention for Single Image Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8453-8465 (2023)- [j13]Jia-Li Yin, Bin Chen, Wanqing Zhu, Bo-Hao Chen, Ximeng Liu:
Push Stricter to Decide Better: A Class-Conditional Feature Adaptive Framework for Improving Adversarial Robustness. IEEE Trans. Inf. Forensics Secur. 18: 2119-2131 (2023) - 2022
- [j12]Bo-Hao Chen, Hsiang-Yin Cheng, Yi-Syuan Tseng, Jia-Li Yin:
Two-Pass Bilateral Smooth Filtering for Remote Sensing Imagery. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j11]Bo-Hao Chen, Shiting Ye, Jia-Li Yin, Hsiang-Yin Cheng, Dewang Chen:
Deep Trident Decomposition Network for Single License Plate Image Glare Removal. IEEE Trans. Intell. Transp. Syst. 23(7): 6596-6607 (2022) - [j10]Bo-Hao Chen, Jin Han, Shengxin Chen, Jia-Li Yin, Zhaojiong Chen:
Automatic Itinerary Planning Using Triple-Agent Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 23(10): 18864-18875 (2022) - [j9]Jia-Li Yin, Bo-Hao Chen, Yan-Tsung Peng:
Two Exposure Fusion Using Prior-Aware Generative Adversarial Network. IEEE Trans. Multim. 24: 2841-2851 (2022) - [j8]Jia-Li Yin, Bo-Hao Chen, Yan-Tsung Peng, Hau Hwang:
Automatic Intermediate Generation With Deep Reinforcement Learning for Robust Two-Exposure Image Fusion. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7853-7862 (2022) - 2021
- [j7]Jia-Li Yin, Bo-Hao Chen, Yan-Tsung Peng, Chung-Chi Tsai:
Deep Battery Saver: End-to-End Learning for Power Constrained Contrast Enhancement. IEEE Trans. Multim. 23: 1049-1059 (2021) - 2020
- [j6]Bo-Hao Chen, Yi-Syuan Tseng, Jia-Li Yin:
Gaussian-Adaptive Bilateral Filter. IEEE Signal Process. Lett. 27: 1670-1674 (2020) - [j5]Jia-Li Yin, Bo-Hao Chen, En-Hung Lai, Ling-Feng Shi:
Power-Constrained Image Contrast Enhancement Through Sparse Representation by Joint Mixed-Norm Regularization. IEEE Trans. Circuits Syst. Video Technol. 30(8): 2477-2488 (2020) - [j4]Jia-Li Yin, Yi-Chi Huang, Bo-Hao Chen, Shao-Zhen Ye:
Color Transferred Convolutional Neural Networks for Image Dehazing. IEEE Trans. Circuits Syst. Video Technol. 30(11): 3957-3967 (2020) - [j3]Jia-Li Yin, Bo-Hao Chen, Kuo-Hua Robert Lai:
Driver Danger-Level Monitoring System Using Multi-Sourced Big Driving Data. IEEE Trans. Intell. Transp. Syst. 21(12): 5271-5282 (2020) - 2018
- [j2]Jia-Li Yin, Bo-Hao Chen:
An Advanced Driver Risk Measurement System for Usage-Based Insurance on Big Driving Data. IEEE Trans. Intell. Veh. 3(4): 585-594 (2018) - [j1]Jia-Li Yin, Bo-Hao Chen, Ying Li:
Highly Accurate Image Reconstruction for Multimodal Noise Suppression Using Semisupervised Learning on Big Data. IEEE Trans. Multim. 20(11): 3045-3056 (2018)
Conference and Workshop Papers
- 2024
- [c19]Zhaozhe Hu, Jia-Li Yin, Bin Chen, Luojun Lin, Bo-Hao Chen, Ximeng Liu:
MEAT: Median-Ensemble Adversarial Training for Improving Robustness and Generalization. ICASSP 2024: 5600-5604 - [c18]Jia-Li Yin, Menghao Chen, Jin Han, Bo-Hao Chen, Ximeng Liu:
Adversarial Example Quality Assessment: A Large-scale Dataset and Strong Baseline. ACM Multimedia 2024: 4786-4794 - 2023
- [c17]Wanqing Zhu, Jia-Li Yin, Bo-Hao Chen, Ximeng Liu:
SRoUDA: Meta Self-Training for Robust Unsupervised Domain Adaptation. AAAI 2023: 3852-3860 - [c16]Bin Chen, Jia-Li Yin, Shukai Chen, Bohao Chen, Ximeng Liu:
An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability. ICCV 2023: 4466-4475 - [c15]Luojun Lin, Zhifeng Shen, Jia-Li Yin, Qipeng Liu, Yuanlong Yu, Weijie Chen:
MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction. ACM Multimedia 2023: 6072-6080 - [c14]Bin Chen, Jia-Li Yin, Bo-Hao Chen, Ximeng Liu:
Q-TrHDRI: A Qurey-Based Transformer for High Dynamic Range Imaging with Dynamic Scenes. PRCV (11) 2023: 301-312 - 2022
- [c13]Bo-Hao Chen, Hsiang-Yin Cheng, Jia-Li Yin:
Adaptive Actor-Critic Bilateral Filter. ICASSP 2022: 1675-1679 - [c12]Yi-Jie Chen, Yen-Chiao Wang, Bo-Hao Chen, Hsiang-Yin Cheng, Jia-Li Yin:
Actor-Critic Bilateral Filter for Noise-Robust Image Smoothing. ISM 2022: 273-277 - 2021
- [c11]Mingyuan Fan, Jia-Li Yin, Ximeng Liu, Wenzhong Guo:
Towards Transferable Adversarial Examples Using Meta Learning. ICA3PP (1) 2021: 178-192 - [c10]Yaopeng Wang, Lehui Xie, Ximeng Liu, Jia-Li Yin, Tingjie Zheng:
Model-Agnostic Adversarial Example Detection Through Logit Distribution Learning. ICIP 2021: 3617-3621 - [c9]Lehui Xie, Yaopeng Wang, Jia-Li Yin, Ximeng Liu:
Robust Single-Step Adversarial Training with Regularizer. PRCV (4) 2021: 29-41 - 2020
- [c8]Shiting Ye, Jia-Li Yin, Bo-Hao Chen, Dewang Chen, YunBing Wu:
Single Image Glare Removal Using Deep Convolutional Networks. ICIP 2020: 201-205 - [c7]Jia-Li Yin, Bo-Hao Chen, Yan-Tsung Peng, Chung-Chi Tsai:
Deep Prior Guided Network For High-Quality Image Fusion. ICME 2020: 1-6 - 2019
- [c6]Hsiang-Yin Cheng, Jia-Li Yin, Bo-Hao Chen, Zhi-Min Yu:
Smoke 100k: A Database for Smoke Detection. GCCE 2019: 596-597 - [c5]Jia-Li Yin, Tzu-Hsuan Peng, Jo-Lan Kuan, Bo-Hao Chen:
Towards Perspective-Free Pavement Distress Detection via Deep Learning. GCCE 2019: 661-662 - [c4]Lu-Yao Huang, Jia-Li Yin, Bo-Hao Chen, Shao-Zhen Ye:
Towards Unsupervised Single Image Dehazing With Deep Learning. ICIP 2019: 2741-2745 - [c3]Jia-Li Yin, Bo-Hao Chen, Yan-Tsung Peng, Yu-Cheng Lin:
Color Shifting-Aware Image Dehazing. ISM 2019: 128-131 - 2018
- [c2]Jing Su, Yi-Chi Huang, Jia-Li Yin, Bo-Hao Chen, Shenming Qu:
Saliency-Guided Deep Framework for Power Consumption Suppressing on Mobile Devices. ICKII 2018: 191-194 - 2017
- [c1]Bo-Hao Chen, Jia-Li Yin, Ying Li:
Image Noise Removing Using Semi-supervised Learning on Big Image Data. BigMM 2017: 338-345
Informal and Other Publications
- 2024
- [i8]Jia-Li Yin, Haoyuan Zheng, Ximeng Liu:
Towards Trustworthy Unsupervised Domain Adaptation: A Representation Learning Perspective for Enhancing Robustness, Discrimination, and Generalization. CoRR abs/2406.13180 (2024) - [i7]Zhaozhe Hu, Jia-Li Yin, Bin Chen, Luojun Lin, Bo-Hao Chen, Ximeng Liu:
MEAT: Median-Ensemble Adversarial Training for Improving Robustness and Generalization. CoRR abs/2406.14259 (2024) - 2023
- [i6]Bin Chen, Jia-Li Yin, Shukai Chen, Bo-Hao Chen, Ximeng Liu:
An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability. CoRR abs/2308.02897 (2023) - [i5]Luojun Lin, Zhifeng Shen, Jia-Li Yin, Qipeng Liu, Yuanlong Yu, Weijie Chen:
MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction. CoRR abs/2311.13929 (2023) - 2022
- [i4]Jian-Nan Su, Min Gan, Guang-Yong Chen, Jia-Li Yin, C. L. Philip Chen:
Global Learnable Attention for Single Image Super-Resolution. CoRR abs/2212.01057 (2022) - [i3]Wanqing Zhu, Jia-Li Yin, Bo-Hao Chen, Ximeng Liu:
SRoUDA: Meta Self-training for Robust Unsupervised Domain Adaptation. CoRR abs/2212.05917 (2022) - 2021
- [i2]Lehui Xie, Yaopeng Wang, Jia-Li Yin, Ximeng Liu:
Robust Single-step Adversarial Training with Regularizer. CoRR abs/2102.03381 (2021) - [i1]Jia-Li Yin, Lehui Xie, Wanqing Zhu, Ximeng Liu, Bo-Hao Chen:
Push Stricter to Decide Better: A Class-Conditional Feature Adaptive Framework for Improving Adversarial Robustness. CoRR abs/2112.00323 (2021)
Coauthor Index
aka: Bo-Hao Chen
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