Publication

Conferences/Journals

∗ indicates equal contributions.

Cheng-Hao Tu*, Hong-You Chen*, Zheda Mai, Jike Zhong, Vardaan Pahuja, Tanya Berger-Wolf, Song Gao, Charles Stewart, Yu Su and Wei-Lun Chao, "Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data," in Advances in Neural Information Processing Systems (NeurIPS), 2023.
[Paper]

Cheng-Hao Tu*, Zheda Mai*, and Wei-Lun Chao, “Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, pp. 7725-7735.
[Paper]

Hong-You Chen, Cheng-Hao Tu, Ziwei Li, Han-Wei Shen, and Wei-Lun Chao, “On the Importance and Applicability of Pre-Training for Federated Learning,” in International Conference on Learning Representations (ICLR), 2023.
[Paper]

Cheng-Hao Tu*, Hong-You Chen*, David Carlyn and Wei-Lun Chao, "Learning Fractals by Gradient Descent," in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023.
[Paper]

Huei-Fang Yang, Cheng-Hao Tu, and Chu-Song Chen, "Learning Binary Hash Codes Based on Adaptable Label Representations," in IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 33, no. 11, pp. 6961-6975, 2022.
[Paper]

Cheng-Hao Tu, Huei-Fang Yang, Shih-Min Yang, Mei-Chen Yeh, and Chu-Song Chen, "SemanticHash: Hash Coding Via Semantics-Guided Label Prototype Learning," in IEEE Transactions on Artificial Intelligence (TAI), vol. 2, no. 1, pp. 42-57, 2021.
[Paper] [Code]

Chien-Hung Chen, Cheng-Hao Tu, Jia-Da Li, and Chu-Song Chen, "Defect Detection Using Deep Lifelong Learning," in IEEE International Conference on Industrial Informatics (INDIN), pp. 1-6, 2021.
[Paper]

Cheng-Hao Tu, Jia-Hong Lee, Yi-Ming Chan, and Chu-Song Chen, "Pruning Depthwise Separable Convolutions for MobileNet Compression," in IEEE International Joint Conference on Neural Networks (IJCNN), 2020, pp. 1-8.
[Paper] [Code] [Slides]

Cheng-Hao Tu, Cheng-En Wu, and Chu-Song Chen, "Extending Conditional Convolution Structures for Enhancing Multitasking Continual Learning," in Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2020, pp. 1605-1610.
[Paper] [Code] [Slides]

Steven Ching-Yi Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," in Advances in Neural Information Processing Systems (NeurIPS), 2019, pp. 13669-13679.
[Paper] [Code] [Poster]

Cheng-Hao Tu, Chih-Yuan Yang, and Jane Yung-jen Hsu, "IdenNet: Identity-Aware Facial Action Unit Detection," in IEEE International Conference on Automatic Face & Gesture Recognition (FG), 2019, pp. 1-8.
[Paper] [Code]

Huei-Fang Yang, Cheng-Hao Tu, and Chu-Song Chen, "Adaptive Labeling for Deep Learning to Hash," in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019.
[Paper] [Code]

Huei-Fang Yang, Cheng-Hao Tu, and Chu-Song Chen, "Adaptive Labeling for Hash Code Learning via Neural Networks," in IEEE International Conference on Image Processing (ICIP), 2019, pp. 2244-2248.
[Paper]

Huei-Fang Yang, Ting-Yen Chen, Cheng-Hao Tu, and Chu-Song Chen, "Equivalent Scanning Neural Network of Unpadded CNNs," in IEEE Signal Processing Letters, vol. 25, no. 10, pp. 1590-1594, 2018.
[Paper]