Publication

2023

Bin Chen ; Jia-Li Yin; Bo-Hao Chen; Ximeng Liu; An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability, ICCV 2023.

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 MM 2023.

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 Transactions on Information Forensics and Security (TIFS), 2023.

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

Jian-Nan Su; Min Gan; Guang-Yong Chen; Jia-Li Yin; C. L. Philip Chen; Global Learnable Attention for Single Image Super-Resolution, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.

2022

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 Transactions on Neural Networks and Learning Systems (TNNLS). (In press)

Jia-Li Yin; Bo-Hao Chen ; Yan-Tsung Peng ; Two Exposure Fusion Using Prior-Aware Generative Adversarial Network, IEEE Transactions on Multimedia (TMM). (In press)

B. H. Chen, S. Ye, Jia-Li Yin, H. Y. Cheng and D. Chen, “Deep Trident Decomposition Network for Single License Plate Image Glare Removal,” IEEE Transactions on Intelligent Transportation Systems (TITS). (In press)

Jia-Li Yin, B. Chen, Y. Peng, and C. Tsai, Deep Battery Saver: End-to-end Learning for Power Constrained Contrast Enhancement, IEEE Transactions on Multimedia (TMM), 2021, 23: 1049-105

2020

Jia-Li Yin; Bo-Hao Chen ; Kuo-Hua Robert Lai; Driver Danger-Level Monitoring System Using Multi-Sourced Big Driving Data, IEEE Transactions on Intelligent Transportation Systems (TITS), 2020.12, 21(12): 5271-5282.

Jia-Li Yin; Bo-Hao Chen ; En-Hung Lai; Ling-Feng Shi; Power-Constrained Image Contrast Enhancement Through Sparse Representationby Joint Mixed-Norm Regularization, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020.8, 30(8): 2477-2488.

Jia-Li Yin; Yi-Chi Huang; Bo-Hao Chen ; Shao-Zhen Ye ; Color Transferred Convol utional Neural Networks for Image Dehazing, IEEE Transactions on Circuits and Systems f or Video Technology (TCSVT), 2020.11, 30(11): 3957-3967.

Jia-Li Yin; Bo-Hao Chen; Yan-Tsung Peng; CC. Tsai; Deep Prior Guided Network for High-quality Image Fusion; IEEE International Conference on Multimedia and Expo(ICM E), London, UK, July. 2020.

2019

Luyao Huang; Jia-Li Yin; Bo-Hao Chen; Shaozhen Ye; Towards Unsupervised Single Image Dehazing With Deep Learning, IEEE International Conference on Image Processing (IC IP), Taipei, Taiwan, pp. 2741–2745, Sept. 2019.

Jia-Li Yin; Bo-Hao Chen; Yan-Tsung Peng, and Y. Lin, Color Shifting-Aware Image Dehazing, IEEE International Symposium on Multimedia (ISM), San Diego, USA, pp.128-128 3, Dec. 2019.

Jia-Li Yin; T. Peng, J. Kuan and Bo-Hao Chen, Towards Perspective-Free Pavement Distress Detection via Deep Learning, IEEE Global Conference on Consumer Electronics (GCCE), Osaka, Japan, Oct. pp.661-662, 2019.

2018

Jia-Li Yin; Bo-Hao Chen; Ying Li; Highly Accurate Image Reconstruction for Multimodal Noise Suppression Using Semisuper-vised Learning on Big Data, IEEE Transaction s on Multimedia (TMM), 2018.11, 20(11): 3045-3056.

Jia-Li Yin; Bo-Hao Chen; An Advanced Driver Risk Measurement System for Usage-Based Insurance on Big Driving Data, IEEE Transactions on Intelligent Vehicles(TIV), 2018.12, 3(4): 585-594.

李应, 印佳丽. 基于多随机森林的低信噪比声音事件检测. 电子学报, 046(011):2705-2713.