Zhengfeng Lai
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
9
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Putting Captions to the Test: Evaluating Video Caption Quality through Multiple-Choice Question Answering. | Zizhen Wang, Bo Feng, Zhengfeng Lai, Shiyu Li, Yang Lu, Meng Cao, Ping Huang, Xiaoming Simon Wang |
| 2026 | WACV | Empowering Source-Free Domain Adaptation via MLLM-Guided Reliability-Based Curriculum Learning. | Dongjie Chen, Kartik Patwari, Zhengfeng Lai, Xiaoguang Zhu, Sen-Ching S. Cheung, Chen-Nee Chuah |
| 2025 | ICCV | 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 |
| 2025 | ICCV | STIV: Scalable Text and Image Conditioned Video Generation. | Zongyu Lin, Wei Liu, Chen Chen, Jiasen Lu, Wenze Hu, Tsu-Jui Fu, Jesse Allardice, Zhengfeng Lai, Liangchen Song, Bowen Zhang, Cha Chen, Yiran Fei, Lezhi Li, Yinfei Yang, Yizhou Sun, Kai-Wei Chang |
| 2025 | ICLR | Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models. | Zhengfeng Lai, Vasileios Saveris, Chen Chen, Hong-You Chen, Haotian Zhang, Bowen Zhang, Wenze Hu, Juan Lao Tebar, Zhe Gan, Peter Grasch, Meng Cao, Yinfei Yang |
| 2025 | ICLR | MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning. | 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, et al. |
| 2025 | ICML | Contrastive Localized Language-Image Pre-Training. | Hong-You Chen, Zhengfeng Lai, Haotian Zhang, Xinze Wang, Marcin Eichner, Keen You, Meng Cao, Bowen Zhang, Yinfei Yang, Zhe Gan |
| 2025 | NAACL | 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, Karsten Ahnert, Vik Kamath, Mathias Berglund, Dominic Walsh, Tobias Gindele, Juergen Wiest, Zhengfeng Lai, Xiaoming Wang, Jiulong Shan, Meng Cao, Ruoming Pang, Zirui Wang |
| 2024 | ECCV | 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 |
| 2024 | ECCV | VeCLIP: Improving CLIP Training via Visual-Enriched Captions. | Zhengfeng Lai, Haotian Zhang, Bowen Zhang, Wentao Wu, Haoping Bai, Aleksei Timofeev, Xianzhi Du, Zhe Gan, Jiulong Shan, Chen-Nee Chuah, Yinfei Yang, Meng Cao |
| 2024 | WACV | 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 |
| 2023 | ICCV | 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 |
| 2022 | CVPR | SaR: Self-adaptive Refinement on Pseudo Labels for Multiclass-Imbalanced Semi-supervised Learning. | Zhengfeng Lai, Chao Wang, Sen-Ching S. Cheung, Chen-Nee Chuah |
| 2022 | ICML | 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 |
| 2021 | CHASE | A Machine Learning Driven Pipeline for Automated Photoplethysmogram Signal Artifact Detection. | Luca Cerny Oliveira, Zhengfeng Lai, Wenbo Geng, Heather Siefkes, Chen-Nee Chuah |