Selected Journal

• Chien-Yao Wang, Hong-Yuan Mark Liao, and I-Hau Yeh, “Designing Network Design Strategies Through Gradient Path Analysis,” Journal of Information Science and Engineering (JISE), 2023. [paper] [code (PyTorch)]
  [Invited Paper]

• Chien-Yao Wang, I-Hau Yeh, and Hong-Yuan Mark Liao, “You Only Learn One Representation: Unified Network for Multiple Tasks,” Journal of Information Science and Engineering (JISE), 2023. [paper] [code (PyTorch)]
  [Invited Paper]

• Chien-Yao Wang, Pao-Chi Chang, Jian-Jiun Ding, Tzu-Chiang Tai, Andri Santoso, Yu-Ting Liu, and Jia-Ching Wang, “Spectral-Temporal Receptive Field Based Descriptors and Hierarchical Cascade Deep Belief Network for Guitar Playing Technique Classification,” IEEE Transactions on Cybernetics, 2022. [paper]
  [IF = 19.118]

• Chien-Yao Wang, Tzu-Chiang Tai, Jia-Ching Wang, Andri Santoso, Seksan Mathulaprangsan, Chin-Chin Chiang, and Chung-Hsien Wu, “Sound Events Recognition and Retrieval Using Multi-Channel Sparse Coding Convolutional Neural Networks,” IEEE Transactions on Audio, Speech, and Language Processing (TASLP), 2020. [paper]
  [IF = 3.919]

• Chien-Yao Wang, Jia-Ching Wang, Andri Santoso, Chin-Chin Chiang, and Chung-Hsien Wu, “Sound Event Recognition Using Auditory-Receptive-Field Binary Pattern and Hierarchical-Diving Deep Belief Network,” IEEE Transactions on Audio, Speech, and Language Processing (TASLP), 2018. [paper]
  [IF = 3.531]

Selected Conference

• Chien-Yao Wang, I-Hau Yeh, and Hong-Yuan Mark Liao. “YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information,” European Conference on Computer Vision (ECCV), 2024. [paper] [code (PyTorch)]

• Chien-Yao Wang, Bochkovskiy Alexey, and Hong-Yuan Mark Liao. “YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [paper] [code (PyTorch)]

• Yu-Hsi Chen, Chien-Yao Wang, Cheng-Yun Yang, Hung-Shuo Chang, Youn-Long Lin, Yung-Yu Chuang, Hong-Yuan Mark Liao, “NeighborTrack: Improving Single Object Tracking by Bipartite Matching with Neighbor Tracklets,” IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023. [paper] [code (PyTorch)]

• Zhong-Min Tsai*, Yu-Ju Tsai*, Chien-Yao Wang, Hong-Yuan Liao, Youn-Long Lin, Yung-Yu Chuang, “SearchTrack: Multiple Object Tracking with Object-Customized Search and Motion-Aware Features,” British Machine Vision Conference (BMVC), 2022. [paper] [code (PyTorch)]
  * indicates equal contributions.

• Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh, Yung-Yu Chuang, and Youn-Long Lin, “Exploring the power of lightweight YOLOv4,” IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021. [paper] [code (PyTorch)]

• Chien-Yao Wang, Bochkovskiy Alexey, and Hong-Yuan Mark Liao, “Scaled-YOLOv4: Scaling Cross Stage Partial Network,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [paper] [code (PyTorch)]

• Chien-Yao Wang, Hong-Yuan Mark Liao, Yueh-Hua Wu, Ping-Yang Chen, Jun-Wei Hsieh, and I-Hau Yeh, “CSPNet: A New Backbone that can Enhance Learning Capability of CNN,” IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020. [paper] [code (darknet)]

• Chien-Yao Wang, Hong-Yuan Mark Liao, Ping-Yang Chen, and Jun-Wei Hsieh, “Enriching Variety of Layer-wise Learning Information by Gradient Combination,” IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2019. [paper] [code (darknet)]

• Kuan-Chung Wang, Chien-Yao Wang, Tzu-Chiang Tai, and Jia-Ching Wang, “Object Bounding Transformed Network for End-to-End Semantic Segmentation,” IEEE International Conference on Image Processing (ICIP), 2019.

• Chien-Yao Wang, Andri Santoso, Seksan Mathulaprangsan, Chin‑Chin Chiang, Chung‑Hsien Wu, Jia‑Ching Wang, “Recognition and Retrieval of Sound Events Using Sparse Coding Convolutional Neural Networks,” IEEE International Conference on Multimedia & Expo (ICME), 2017.
  [Finalist of the World’s FIRST 10K Best Paper Award]
  [Nomination for Best Student Paper Award]

• Chien-Yao Wang, Jyun-Hong Li, Seksan Mathulaprangsan, Chin-Chin Chiang, and Jia-Ching Wang, “Hierarchical Joint-guided Networks for Semantic Image Segmentation,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017.

• Chien-Yao Wang, Chin-Chin Chiang, Jian-Jiun Ding, and Jia-Ching Wang, “Dynamic Tracking Attention Model for Action Recognition,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017.

• Yuan-Shan Lee, Chien-Yao Wang, Shu-Fan Wang, Jia-Ching Wang, and Chung-Hsien Wu, “Fully Complex Deep Neural Network for Phase-incorporating Monaural Source Separation,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017.

• Yuan-Shan Lee, Chien-Yao Wang, Seksan Mathulaprangsan, Jia Hao Zhao, and Jia-Ching Wang, “Locality Preserving K-SVD via Joint Dictionary and Classifier Learning for Object Recognition,” ACM Multimedia (ACMMM), 2016.

Selected Technical Report

• Bochkovskiy Alexey*, Chien-Yao Wang*, and Hong-Yuan Mark Liao. “YOLOv4: Optimal Speed and Accuracy of Object Detection,” arXiv preprint arXiv:2004.10934, 2020. [paper] [code (darknet)] [code (PyTorch)]
  * indicates equal contributions.