I am a second-year Master’s student at the University of Wisconsin-Madison, under the supervision of Prof. Pedro Morgado.
My primary research focus lies at the intersection of computer vision and machine learning, with a particular interest in:
1. Enhancing training and inference efficiency
2. Integrating multiple sensory modalities to understand the world
3. Efficiently identifying high-quality datasets.
Teaching
- CS/ECE 539 - Intro to Artificial Neural Networks (Head TA - Fall 2024)
- CS/ECE 539 - Intro to Artificial Neural Networks (TA - Fall 2023)
- CS/ECE 540 - Intro to Artificial Intelligence (Undergraduate TA - Spring 2021)
Publications
* Denotes equal contribution
From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling
IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), Nashville, 2025.
@InProceedings{lin2025prototypes,
title={From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling},
author={Jinhong Lin and Cheng-En Wu and Huanran Li and Jifan Zhang and Yu Hen Hu and Pedro Morgado},
booktitle={IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR)},
year={2025}
}
Patch Ranking: Token Pruning as Ranking Prediction for Efficient CLIP Inference
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, 2025.
@InProceedings{chengen2025pruning,
title={Patch Ranking: Token Pruning as Ranking Prediction for Efficient CLIP Inference},
author={Cheng-En Wu and Jinhong Lin and Yu-Hen Yu and Pedro Morgado},
booktitle={IEEE/CVF Winter Applications in Computer Vision (WACV)},
year={2025}
}
Accelerating Augmentation Invariance Pretraining
Neural Information Processing Systems (NeurIPS), Vancouver, 2024.
@InProceedings{lin2024fastcl,
title={Accelerating Augmentation Invariance Pretraining},
author={Jinhong Lin and Cheng-En Wu and Yibing Wei and Pedro Morgado},
booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
year={2024}
}