Cheng-Hao Tu

According to our database, Cheng-Hao Tu authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Lessons Learned from a Unifying Empirical Study of Parameter-Efficient Transfer Learning (PETL) in Visual Recognition.

Zheda Mai, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Li Zhang, Wei-Lun Chao

CoRR, 2024

Fine-Tuning is Fine, if Calibrated.

Zheda Mai, Arpita Chowdhury, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao

CoRR, 2024

Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs.

Vardaan Pahuja, Weidi Luo, Yu Gu, Cheng-Hao Tu, Hong-You Chen, Tanya Y. Berger-Wolf, Charles V. Stewart, Song Gao, Wei-Lun Chao, Yu Su

CoRR, 2024

Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs.

Vardaan Pahuja, Weidi Luo, Yu Gu, Cheng-Hao Tu, Hong-You Chen, Tanya Y. Berger-Wolf, Charles V. Stewart, Song Gao, Wei-Lun Chao, Yu Su

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data.

Cheng-Hao Tu, Hong-You Chen, Zheda Mai, Jike Zhong, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Importance and Applicability of Pre-Training for Federated Learning.

Hong-You Chen, Cheng-Hao Tu, Ziwei Li, Han-Wei Shen, Wei-Lun Chao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning.

Cheng-Hao Tu, Zheda Mai, Wei-Lun Chao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Fractals by Gradient Descent.

Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning Binary Hash Codes Based on Adaptable Label Representations.

Huei-Fang Yang, Cheng-Hao Tu, Chu-Song Chen

IEEE Trans. Neural Networks Learn. Syst., 2022

On Pre-Training for Federated Learning.

Hong-You Chen, Cheng-Hao Tu, Ziwei Li, Han-Wei Shen, Wei-Lun Chao

CoRR, 2022

2021

SemanticHash: Hash Coding Via Semantics-Guided Label Prototype Learning.

Cheng-Hao Tu, Huei-Fang Yang, Shih-Min Yang, Mei-Chen Yeh, Chu-Song Chen

IEEE Trans. Artif. Intell., 2021

Defect Detection Using Deep Lifelong Learning.

Chien-Hung Chen, Cheng-Hao Tu, Jia-Da Li, Chu-Song Chen

Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

2020

Pruning Depthwise Separable Convolutions for MobileNet Compression.

Cheng-Hao Tu, Jia-Hong Lee, Yi-Ming Chan, Chu-Song Chen

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Extending Conditional Convolution Structures For Enhancing Multitasking Continual Learning.

Cheng-Hao Tu, Cheng-En Wu, Chu-Song Chen

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019

Compacting, Picking and Growing for Unforgetting Continual Learning.

Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, Chu-Song Chen

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Adaptive Labeling For Hash Code Learning Via Neural Networks.

Huei-Fang Yang, Cheng-Hao Tu, Chu-Song Chen

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Adaptive Labeling for Deep Learning to Hash.

Huei-Fang Yang, Cheng-Hao Tu, Chu-Song Chen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Equivalent Scanning Network of Unpadded CNNs.

Huei-Fang Yang, Ting-Yen Chen, Cheng-Hao Tu, Chu-Song Chen

IEEE Signal Process. Lett., 2018

Supervised Representation Hash Codes Learning.

Huei-Fang Yang, Cheng-Hao Tu, Chu-Song Chen

Proceedings of the New Trends in Computer Technologies and Applications, 2018