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Cheng-Hao Tu 0001
Person information
- affiliation: Ohio State University, OH, USA
- affiliation (former): Academia Sinica, Taipei, Taiwan
Other persons with the same name
- Cheng-Hao Tu 0002 — National Yang-Ming University, Institute of Neuroscience, Taipei, Taiwan
- Cheng-Hao Tu 0003 — National Taiwan University, Department of Computer Science and Information Engineering, Taipei, Taiwan
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2020 – today
- 2024
- [c12]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:
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs. CIKM 2024: 1825-1835 - [i8]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:
Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs. CoRR abs/2401.00608 (2024) - [i7]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:
Fine-Tuning is Fine, if Calibrated. CoRR abs/2409.16223 (2024) - [i6]Zheda Mai, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Li Zhang, Wei-Lun Chao:
Lessons Learned from a Unifying Empirical Study of Parameter-Efficient Transfer Learning (PETL) in Visual Recognition. CoRR abs/2409.16434 (2024) - 2023
- [c11]Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao:
Learning Fractals by Gradient Descent. AAAI 2023: 2456-2464 - [c10]Cheng-Hao Tu, Zheda Mai, Wei-Lun Chao:
Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning. CVPR 2023: 7725-7735 - [c9]Hong-You Chen, Cheng-Hao Tu, Ziwei Li, Han-Wei Shen, Wei-Lun Chao:
On the Importance and Applicability of Pre-Training for Federated Learning. ICLR 2023 - [c8]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:
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data. NeurIPS 2023 - [i5]Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao:
Learning Fractals by Gradient Descent. CoRR abs/2303.12722 (2023) - [i4]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:
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data. CoRR abs/2311.01420 (2023) - 2022
- [j3]Huei-Fang Yang, Cheng-Hao Tu, Chu-Song Chen:
Learning Binary Hash Codes Based on Adaptable Label Representations. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6961-6975 (2022) - [i3]Hong-You Chen, Cheng-Hao Tu, Ziwei Li, Han-Wei Shen, Wei-Lun Chao:
On Pre-Training for Federated Learning. CoRR abs/2206.11488 (2022) - [i2]Cheng-Hao Tu, Zheda Mai, Wei-Lun Chao:
Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning. CoRR abs/2212.03220 (2022) - 2021
- [j2]Cheng-Hao Tu, Huei-Fang Yang, Shih-Min Yang, Mei-Chen Yeh, Chu-Song Chen:
SemanticHash: Hash Coding Via Semantics-Guided Label Prototype Learning. IEEE Trans. Artif. Intell. 2(1): 42-57 (2021) - [c7]Chien-Hung Chen, Cheng-Hao Tu, Jia-Da Li, Chu-Song Chen:
Defect Detection Using Deep Lifelong Learning. INDIN 2021: 1-6 - 2020
- [c6]Cheng-Hao Tu, Cheng-En Wu, Chu-Song Chen:
Extending Conditional Convolution Structures For Enhancing Multitasking Continual Learning. APSIPA 2020: 1605-1610 - [c5]Cheng-Hao Tu, Jia-Hong Lee, Yi-Ming Chan, Chu-Song Chen:
Pruning Depthwise Separable Convolutions for MobileNet Compression. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [c4]Huei-Fang Yang, Cheng-Hao Tu, Chu-Song Chen:
Adaptive Labeling for Deep Learning to Hash. CVPR Workshops 2019: 621-628 - [c3]Huei-Fang Yang, Cheng-Hao Tu, Chu-Song Chen:
Adaptive Labeling For Hash Code Learning Via Neural Networks. ICIP 2019: 2244-2248 - [c2]Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, Chu-Song Chen:
Compacting, Picking and Growing for Unforgetting Continual Learning. NeurIPS 2019: 13647-13657 - [i1]Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, Chu-Song Chen:
Compacting, Picking and Growing for Unforgetting Continual Learning. CoRR abs/1910.06562 (2019) - 2018
- [j1]Huei-Fang Yang, Ting-Yen Chen, Cheng-Hao Tu, Chu-Song Chen:
Equivalent Scanning Network of Unpadded CNNs. IEEE Signal Process. Lett. 25(10): 1590-1594 (2018) - [c1]Huei-Fang Yang, Cheng-Hao Tu, Chu-Song Chen:
Supervised Representation Hash Codes Learning. ICS 2018: 141-149
Coauthor Index
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last updated on 2024-12-02 22:26 CET by the dblp team
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