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Zhengfeng Lai
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Journal Articles
- 2022
- [j1]Zhengfeng Lai
, Luca Cerny Oliveira, Runlin Guo, Wenda Xu, Zin Hu, Kelsey Mifflin, Charles DeCarli
BrainSec: Automated Brain Tissue Segmentation Pipeline for Scalable Neuropathological Analysis. IEEE Access 10: 49064-49079 (2022)
Conference and Workshop Papers
- 2024
- [c12]Zhengfeng Lai
VeCLIP: Improving CLIP Training via Visual-Enriched Captions. ECCV (42) 2024: 111-127 - [c11]Zhengfeng Lai
Bridging the Pathology Domain Gap: Efficiently Adapting CLIP for Pathology Image Analysis with Limited Labeled Data. ECCV (64) 2024: 256-273 - [c10]Zhengfeng Lai, Haoping Bai, Haotian Zhang, Xianzhi Du, Jiulong Shan, Yinfei Yang, Chen-Nee Chuah, Meng Cao:
Empowering Unsupervised Domain Adaptation with Large-scale Pre-trained Vision-Language Models. WACV 2024: 2679-2689 - 2023
- [c9]Zhengfeng Lai, Noranart Vesdapunt, Ning Zhou, Jun Wu, Cong Phuoc Huynh, Xuelu Li, Kah Kuen Fu, Chen-Nee Chuah:
PADCLIP: Pseudo-labeling with Adaptive Debiasing in CLIP for Unsupervised Domain Adaptation. ICCV 2023: 16109-16119 - [c8]Zhengfeng Lai, Zhuoheng Li, Luca Cerny Oliveira, Joohi Chauhan
CLIPath: Fine-tune CLIP with Visual Feature Fusion for Pathology Image Analysis Towards Minimizing Data Collection Efforts. ICCV (Workshops) 2023: 2366-2372 - 2022
- [c7]Zhengfeng Lai, Chao Wang, Sen-Ching S. Cheung, Chen-Nee Chuah:
SaR: Self-adaptive Refinement on Pseudo Labels for Multiclass-Imbalanced Semi-supervised Learning. CVPR Workshops 2022: 4090-4099 - [c6]Zhengfeng Lai, Chao Wang, Henrry Gunawan, Sen-Ching S. Cheung, Chen-Nee Chuah:
Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data. ICML 2022: 11828-11843 - 2021
- [c5]Luca Cerny Oliveira, Zhengfeng Lai, Wenbo Geng, Heather Siefkes, Chen-Nee Chuah:
A Machine Learning Driven Pipeline for Automated Photoplethysmogram Signal Artifact Detection. CHASE 2021: 149-154 - [c4]Zhengfeng Lai, Pranjali Vadlaputi
Enhanced Critical Congenital Cardiac Disease Screening by Combining Interpretable Machine Learning Algorithms. EMBC 2021: 1403-1406 - [c3]Zhengfeng Lai, Chao Wang, Zin Hu, Brittany N. Dugger, Sen-Ching S. Cheung, Chen-Nee Chuah:
A Semi-supervised Learning for Segmentation of Gigapixel Histopathology Images from Brain Tissues. EMBC 2021: 1920-1923 - [c2]Zhengfeng Lai, Chao Wang, Luca Cerny Oliveira, Brittany N. Dugger, Sen-Ching Samson Cheung, Chen-Nee Chuah:
Joint Semi-supervised and Active Learning for Segmentation of Gigapixel Pathology Images with Cost-Effective Labeling. ICCVW 2021: 591-600 - 2020
- [c1]Zhengfeng Lai, Runlin Guo, Wenda Xu, Zin Hu, Kelsey Mifflin, Brittany N. Dugger, Chen-Nee Chuah, Sen-Ching S. Cheung:
Automated grey and white matter segmentation in digitized Aβ human brain tissue slide images. ICME Workshops 2020: 1-6
Informal and Other Publications
- 2024
- [i8]Ammar Haydari, Dongjie Chen, Zhengfeng Lai, Chen-Nee Chuah:
MobilityGPT: Enhanced Human Mobility Modeling with a GPT model. CoRR abs/2402.03264 (2024) - [i7]Dongjie Chen, Kartik Patwari, Zhengfeng Lai, Sen-ching Samson Cheung, Chen-Nee Chuah:
Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum Learning. CoRR abs/2405.18376 (2024) - [i6]Mingze Xu, Mingfei Gao, Zhe Gan, Hong-You Chen, Zhengfeng Lai, Haiming Gang, Kai Kang, Afshin Dehghan:
SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models. CoRR abs/2407.15841 (2024) - [i5]Guoli Yin, Haoping Bai, Shuang Ma, Feng Nan, Yanchao Sun, Zhaoyang Xu, Shen Ma, Jiarui Lu, Xiang Kong, Aonan Zhang, Dian Ang Yap, Yizhe Zhang, Karsten Ahnert, Vik Kamath, Mathias Berglund, Dominic Walsh, Tobias Gindele, Juergen Wiest, Zhengfeng Lai, Xiaoming Wang, Jiulong Shan, Meng Cao, Ruoming Pang, Zirui Wang:
MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains. CoRR abs/2407.18961 (2024) - [i4]Haotian Zhang, Mingfei Gao, Zhe Gan, Philipp Dufter, Nina Wenzel, Forrest Huang, Dhruti Shah, Xianzhi Du, Bowen Zhang, Yanghao Li, Sam Dodge, Keen You, Zhen Yang, Aleksei Timofeev, Mingze Xu, Hong-You Chen, Jean-Philippe Fauconnier, Zhengfeng Lai, Haoxuan You, Zirui Wang, Afshin Dehghan, Peter Grasch, Yinfei Yang:
MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning. CoRR abs/2409.20566 (2024) - [i3]Zhengfeng Lai, Vasileios Saveris, Chen Chen, Hong-You Chen, Haotian Zhang, Bowen Zhang, Juan Lao Tebar, Wenze Hu, Zhe Gan, Peter Grasch, Meng Cao, Yinfei Yang:
Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models. CoRR abs/2410.02740 (2024) - [i2]Hong-You Chen, Zhengfeng Lai, Haotian Zhang, Xinze Wang, Marcin Eichner, Keen You, Meng Cao, Bowen Zhang, Yinfei Yang, Zhe Gan:
Contrastive Localized Language-Image Pre-Training. CoRR abs/2410.02746 (2024) - 2023
- [i1]Zhengfeng Lai, Haotian Zhang, Wentao Wu, Haoping Bai, Aleksei Timofeev, Xianzhi Du, Zhe Gan, Jiulong Shan, Chen-Nee Chuah, Yinfei Yang, Meng Cao:
From Scarcity to Efficiency: Improving CLIP Training via Visual-enriched Captions. CoRR abs/2310.07699 (2023)
Coauthor Index
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