Cheng-Hao Tu

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 9

Top Topics

Transfer Learning

Top Venues

Publications

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 (2024)
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)
Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao
Learning Fractals by Gradient Descent. CoRR (2023)
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)
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)
Cheng-Hao Tu, Hong-You Chen, David Carlyn, Wei-Lun Chao
Learning Fractals by Gradient Descent. AAAI (2023)
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 (2023)
Hong-You Chen, Cheng-Hao Tu, Ziwei Li, Han-Wei Shen, Wei-Lun Chao
On Pre-Training for Federated Learning. CoRR (2022)
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 (2022)