Zhengfeng Lai

According to our database, Zhengfeng Lai authored at least 13 papers between 2020 and 2024.

Collaborative distances:

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

2024

MobilityGPT: Enhanced Human Mobility Modeling with a GPT model.

Ammar Haydari, Dongjie Chen, Zhengfeng Lai, Chen-Nee Chuah

CoRR, 2024

Empowering Unsupervised Domain Adaptation with Large-scale Pre-trained Vision-Language Models.

Zhengfeng Lai, Haoping Bai, Haotian Zhang, Xianzhi Du, Jiulong Shan, Yinfei Yang, Chen-Nee Chuah, Meng Cao

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

From Scarcity to Efficiency: Improving CLIP Training via Visual-enriched Captions.

Zhengfeng Lai, Haotian Zhang, Wentao Wu, Haoping Bai, Aleksei Timofeev, Xianzhi Du, Zhe Gan, Jiulong Shan, Chen-Nee Chuah, Yinfei Yang, Meng Cao

CoRR, 2023

CLIPath: Fine-tune CLIP with Visual Feature Fusion for Pathology Image Analysis Towards Minimizing Data Collection Efforts.

Zhengfeng Lai, Zhuoheng Li, Luca Cerny Oliveira, Joohi Chauhan, Brittany N. Dugger, Chen-Nee Chuah

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PADCLIP: Pseudo-labeling with Adaptive Debiasing in CLIP for Unsupervised Domain Adaptation.

Zhengfeng Lai, Noranart Vesdapunt, Ning Zhou, Jun Wu, Cong Phuoc Huynh, Xuelu Li, Kah Kuen Fu, Chen-Nee Chuah

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

BrainSec: Automated Brain Tissue Segmentation Pipeline for Scalable Neuropathological Analysis.

Zhengfeng Lai, Luca Cerny Oliveira, Runlin Guo, Wenda Xu, Zin Hu, Kelsey Mifflin, Charles DeCarli, Sen-Ching S. Cheung, Chen-Nee Chuah, Brittany N. Dugger

IEEE Access, 2022

Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data.

Zhengfeng Lai, Chao Wang, Henrry Gunawan, Sen-Ching S. Cheung, Chen-Nee Chuah

Proceedings of the International Conference on Machine Learning, 2022

SaR: Self-adaptive Refinement on Pseudo Labels for Multiclass-Imbalanced Semi-supervised Learning.

Zhengfeng Lai, Chao Wang, Sen-Ching S. Cheung, Chen-Nee Chuah

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Joint Semi-supervised and Active Learning for Segmentation of Gigapixel Pathology Images with Cost-Effective Labeling.

Zhengfeng Lai, Chao Wang, Luca Cerny Oliveira, Brittany N. Dugger, Sen-Ching Samson Cheung, Chen-Nee Chuah

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

A Semi-supervised Learning for Segmentation of Gigapixel Histopathology Images from Brain Tissues.

Zhengfeng Lai, Chao Wang, Zin Hu, Brittany N. Dugger, Sen-Ching S. Cheung, Chen-Nee Chuah

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Enhanced Critical Congenital Cardiac Disease Screening by Combining Interpretable Machine Learning Algorithms.

Zhengfeng Lai, Pranjali Vadlaputi, Daniel J. Tancredi, Meena Garg, Robert I. Koppel, Mera Goodman, Whitnee Hogan, Nicole Cresalia, Stephan Juergensen, Erlinda Manalo, Satyan Lakshminrusimha, Chen-Nee Chuah, Heather Siefkes

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A Machine Learning Driven Pipeline for Automated Photoplethysmogram Signal Artifact Detection.

Luca Cerny Oliveira, Zhengfeng Lai, Wenbo Geng, Heather Siefkes, Chen-Nee Chuah

Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2021

2020

Automated grey and white matter segmentation in digitized Aβ human brain tissue slide images.

Zhengfeng Lai, Runlin Guo, Wenda Xu, Zin Hu, Kelsey Mifflin, Brittany N. Dugger, Chen-Nee Chuah, Sen-Ching S. Cheung

Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020