Cheng-Hao Tu

25 papers A* 7A 2B 2C 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition.
CVPR
Zheda Mai, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Quang-Huy Nguyen, Li Zhang, Wei-Lun Chao
2024 J jnl
Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs.
CoRR
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
2024 A* conf
Fine-Tuning is Fine, if Calibrated.
NeurIPS
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
2024 J jnl
Fine-Tuning is Fine, if Calibrated.
CoRR
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
2024 J jnl
Lessons Learned from a Unifying Empirical Study of Parameter-Efficient Transfer Learning (PETL) in Visual Recognition.
CoRR
Zheda Mai, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Li Zhang, Wei-Lun Chao
2024 A conf
Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs.
CIKM
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
2023 A* conf
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data.
NeurIPS
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
2023 J jnl
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data.
CoRR
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
2023 A* conf
Learning Fractals by Gradient Descent.
AAAI
Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao
2023 J jnl
Learning Fractals by Gradient Descent.
CoRR
Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao
2023 A* conf
On the Importance and Applicability of Pre-Training for Federated Learning.
ICLR
Hong-You Chen, Cheng-Hao Tu, Ziwei Li, Han-Wei Shen, Wei-Lun Chao
2023 A* conf
Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning.
CVPR
Cheng-Hao Tu, Zheda Mai, Wei-Lun Chao
2022 J jnl
Learning Binary Hash Codes Based on Adaptable Label Representations.
IEEE Trans. Neural Networks Learn. Syst.
Huei-Fang Yang, Cheng-Hao Tu, Chu-Song Chen
2022 J jnl
On Pre-Training for Federated Learning.
CoRR
Hong-You Chen, Cheng-Hao Tu, Ziwei Li, Han-Wei Shen, Wei-Lun Chao
2022 J jnl
Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning.
CoRR
Cheng-Hao Tu, Zheda Mai, Wei-Lun Chao
2021 C conf
Defect Detection Using Deep Lifelong Learning.
INDIN
Chien-Hung Chen, Cheng-Hao Tu, Jia-Da Li, Chu-Song Chen
2021 J jnl
SemanticHash: Hash Coding Via Semantics-Guided Label Prototype Learning.
IEEE Trans. Artif. Intell.
Cheng-Hao Tu, Huei-Fang Yang, Shih-Min Yang, Mei-Chen Yeh, Chu-Song Chen
2020 — conf
Extending Conditional Convolution Structures For Enhancing Multitasking Continual Learning.
APSIPA
Cheng-Hao Tu, Cheng-En Wu, Chu-Song Chen
2020 B conf
Pruning Depthwise Separable Convolutions for MobileNet Compression.
IJCNN
Cheng-Hao Tu, Jia-Hong Lee, Yi-Ming Chan, Chu-Song Chen
2019 B conf
Adaptive Labeling For Hash Code Learning Via Neural Networks.
ICIP
Huei-Fang Yang, Cheng-Hao Tu, Chu-Song Chen
2019 — conf
Adaptive Labeling for Deep Learning to Hash.
CVPR Workshops
Huei-Fang Yang, Cheng-Hao Tu, Chu-Song Chen
2019 A* conf
Compacting, Picking and Growing for Unforgetting Continual Learning.
NeurIPS
Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, Chu-Song Chen
2019 J jnl
Compacting, Picking and Growing for Unforgetting Continual Learning.
CoRR
Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, Chu-Song Chen
2018 J jnl
Equivalent Scanning Network of Unpadded CNNs.
IEEE Signal Process. Lett.
Huei-Fang Yang, Ting-Yen Chen, Cheng-Hao Tu, Chu-Song Chen
2018 A conf
Supervised Representation Hash Codes Learning.
ICS
Huei-Fang Yang, Cheng-Hao Tu, Chu-Song Chen