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 (ICME Workshops, 2020)

A Machine Learning Driven Pipeline for Automated Photoplethysmogram Signal Artifact Detection. - Luca Cerny Oliveira; Zhengfeng Lai; Wenbo Geng; Heather Siefkes; Chen-Nee Chuah (CHASE, 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; et al. (EMBC, 2021)

A Semi-supervised Learning for Segmentation of Gigapixel Histopathology Images from Brain Tissues. - Zhengfeng Lai; Chao Wang 067; Zin Hu; Brittany N. Dugger; Sen-Ching S. Cheung; Chen-Nee Chuah (EMBC, 2021)

Joint Semi-supervised and Active Learning for Segmentation of Gigapixel Pathology Images with Cost-Effective Labeling. - Zhengfeng Lai; Chao Wang 067; Luca Cerny Oliveira; Brittany N. Dugger; Sen-Ching Samson Cheung; Chen-Nee Chuah (ICCVW, 2021)

SaR: Self-adaptive Refinement on Pseudo Labels for Multiclass-Imbalanced Semi-supervised Learning. - Zhengfeng Lai; Chao Wang 067; Sen-Ching S. Cheung; Chen-Nee Chuah (CVPR Workshops, 2022)

Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data. - Zhengfeng Lai; Chao Wang 067; Henrry Gunawan; Sen-Ching S. Cheung; Chen-Nee Chuah (ICML, 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)

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 (ICCV, 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 (ICCV (Workshops), 2023)

From Scarcity to Efficiency: Improving CLIP Training via Visual-enriched Captions. - Zhengfeng Lai; Haotian Zhang 005; Wentao Wu; Haoping Bai; Aleksei Timofeev; Xianzhi Du; Zhe Gan; Jiulong Shan; Chen-Nee Chuah; Yinfei Yang; Meng Cao (CoRR, 2023)

Bridging the Pathology Domain Gap: Efficiently Adapting CLIP for Pathology Image Analysis with Limited Labeled Data. - Zhengfeng Lai; Joohi Chauhan; Brittany N. Dugger; Chen-Nee Chuah (ECCV (64), 2024)

VeCLIP: Improving CLIP Training via Visual-Enriched Captions. - Zhengfeng Lai; Haotian Zhang 005; Bowen Zhang 002; Wentao Wu; Haoping Bai; Aleksei Timofeev; Xianzhi Du; Zhe Gan; Jiulong Shan; Chen-Nee Chuah; Yinfei Yang; Meng Cao (ECCV (42), 2024)

Empowering Unsupervised Domain Adaptation with Large-scale Pre-trained Vision-Language Models. - Zhengfeng Lai; Haoping Bai; Haotian Zhang 005; Xianzhi Du; Jiulong Shan; Yinfei Yang; Chen-Nee Chuah; Meng Cao (WACV, 2024)

MobilityGPT: Enhanced Human Mobility Modeling with a GPT model. - Ammar Haydari; Dongjie Chen; Zhengfeng Lai; Chen-Nee Chuah (CoRR, 2024)

Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum Learning. - Dongjie Chen; Kartik Patwari; Zhengfeng Lai; Sen-ching Samson Cheung; Chen-Nee Chuah (CoRR, 2024)

SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models. - Mingze Xu; Mingfei Gao; Zhe Gan; Hong-You Chen; Zhengfeng Lai; Haiming Gang; Kai Kang; Afshin Dehghan (CoRR, 2024)

MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning. - Haotian Zhang 005; Mingfei Gao; Zhe Gan; Philipp Dufter; Nina Wenzel; Forrest Huang; Dhruti Shah; Xianzhi Du; Bowen Zhang 002; Yanghao Li; Sam Dodge; Keen You; et al. (CoRR, 2024)

Contrastive Localized Language-Image Pre-Training. - Hong-You Chen; Zhengfeng Lai; Haotian Zhang 005; Xinze Wang; Marcin Eichner; Keen You; Meng Cao; Bowen Zhang 002; Yinfei Yang; Zhe Gan (CoRR, 2024)

STIV: Scalable Text and Image Conditioned Video Generation. - Zongyu Lin; Wei Liu; Chen Chen 005; Jiasen Lu; Wenze Hu; Tsu-Jui Fu; Jesse Allardice; Zhengfeng Lai; Liangchen Song; Bowen Zhang 002; Cha Chen; Yiran Fei; et al. (CoRR, 2024)

Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models. - Zhengfeng Lai; Vasileios Saveris; Chen Chen 005; Hong-You Chen; Haotian Zhang 005; Bowen Zhang 002; Wenze Hu; Juan Lao Tebar; Zhe Gan; Peter Grasch; Meng Cao; Yinfei Yang (ICLR, 2025)

MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning. - Haotian Zhang 005; Mingfei Gao; Zhe Gan; Philipp Dufter; Nina Wenzel; Forrest Huang; Dhruti Shah; Xianzhi Du; Bowen Zhang 002; Yanghao Li; Sam Dodge; Keen You; et al. (ICLR, 2025)

MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains. - 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 002; et al. (NAACL (Findings), 2025)

ETVA: Evaluation of Text-to-Video Alignment via Fine-grained Question Generation and Answering. - Kaisi Guan; Zhengfeng Lai; Yuchong Sun; Peng Zhang; Wei Liu; Kieran Liu; Meng Cao; Ruihua Song (CoRR, 2025)

SlowFast-LLaVA-1.5: A Family of Token-Efficient Video Large Language Models for Long-Form Video Understanding. - Mingze Xu; Mingfei Gao; Shiyu Li; Jiasen Lu; Zhe Gan; Zhengfeng Lai; Meng Cao; Kai Kang; Yinfei Yang; Afshin Dehghan (CoRR, 2025)

StreamBridge: Turning Your Offline Video Large Language Model into a Proactive Streaming Assistant. - Haibo Wang; Bo Feng; Zhengfeng Lai; Mingze Xu; Shiyu Li; Weifeng Ge; Afshin Dehghan; Meng Cao; Ping Huang (CoRR, 2025)

Breaking Down Video LLM Benchmarks: Knowledge, Spatial Perception, or True Temporal Understanding? - Bo Feng; Zhengfeng Lai; Shiyu Li; Zizhen Wang; Simon Wang; Ping Huang; Meng Cao (CoRR, 2025)