I-Hau Yeh

According to our database, I-Hau Yeh authored at least 7 papers between 2020 and 2026.

Collaborative distances:

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

2026

A Robust and Efficient Multi-Agent Reinforcement Learning Framework for Traffic Signal Control.

Sheng-You Huang, Hsiao-Chuan Chang, Yen-Chi Chen, Ting-Han Wei, I-Hau Yeh, Sheng-Yao Kuan, Chien-Yao Wang, Hsuan-Han Lee, I-Chen Wu

CoRR, March, 2026

2024

YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information.

Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

You Only Learn One Representation: Unified Network for Multiple Tasks.

Chien-Yao Wang, I-Hau Yeh, Hong-Yuan Mark Liao

J. Inf. Sci. Eng., November, 2023

Designing Network Design Strategies Through Gradient Path Analysis.

Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh

J. Inf. Sci. Eng., 2023

2021

Exploring the power of lightweight YOLOv4.

Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh, Yung-Yu Chuang, Youn-Long Lin

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Batch-Augmented Multi-Agent Reinforcement Learning for Efficient Traffic Signal Optimization.

Yueh-Hua Wu, I-Hau Yeh, David Hu, Hong-Yuan Mark Liao

CoRR, 2020

CSPNet: A New Backbone that can Enhance Learning Capability of CNN.

Chien-Yao Wang, Hong-Yuan Mark Liao, Yueh-Hua Wu, Ping-Yang Chen, Jun-Wei Hsieh, I-Hau Yeh

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020