Cheng-Hao Tu

According to our database, Cheng-Hao Tu authored at least 6 papers between 2022 and 2024.

Collaborative distances:

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

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

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

On Pre-Training for Federated Learning.

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

CoRR, 2022