• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 28 matches

• 2024
• 
  Zhengfeng Lai, Joohi Chauhan, Brittany N. Dugger, Chen-Nee Chuah:
  Bridging the Pathology Domain Gap: Efficiently Adapting CLIP for Pathology Image Analysis with Limited Labeled Data. ECCV (64) 2024: 256-273
• 
  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:
  VeCLIP: Improving CLIP Training via Visual-Enriched Captions. ECCV (42) 2024: 111-127
• 
  Zhengfeng Zhang, Peichao Lai, Ruiqing Wang, Feiyang Ye, Yilei Wang:
  NCSE: Neighbor Contrastive Learning for Unsupervised Sentence Embeddings. IJCNN 2024: 1-8
• 
  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
• 
  Ammar Haydari, Dongjie Chen, Zhengfeng Lai, Chen-Nee Chuah:
  MobilityGPT: Enhanced Human Mobility Modeling with a GPT model. CoRR abs/2402.03264 (2024)
• 
  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)
• 
  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)
• 
  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)
• 
  Peichao Lai, Zhengfeng Zhang, Bin Cui:
  Knowledge-Based Domain-Oriented Data Augmentation for Enhancing Unsupervised Sentence Embedding. CoRR abs/2409.12887 (2024)
• 
  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)
• 
  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)
• 
  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
• 
  Dahua Ouyang, Pingzhi Shangguan, Xinyong Huangfu, Zenggang Linghu, Haiyang Zhuge, Haoliang Situ, Shangwu Sima, Junning Shentu, Yuanrui Xiahou, Zhengtao Helan, Zhaoyao Dongfang, Kunlun Dongfang, Zhengzhi Wanyan, Qingrong Murong, Hanming Yuchi, Zhongchun Zhangsun, Bingyun Helan, Haida Xiahou, Yifan Shentu, Weiye Sima, Zhengfeng Situ, Fengqi Zhuge, Jiayi Linghu, Zhili Huangpu, Weiyi Shangguan, Shanshan Ouyang, Xiatian Ouyang, Zhimo Shangguan, Dechang Huangpu, Bozhong Linghu, Houjue Zhuge, Yunfei Situ, Bobo Sima, Zelong Shentu, Kunlun Xiahou, Zhaohui Helan, Siyu Wanyan, Desheng Murong, Yingxiong Yunchi, Baoqiang Zhangsun, Jinshang Dongfang, Xiazhi Lai, Yinghao Guo, Bowen Lu:
  Deep Non-Orthogonal Multiple Access Network Assisted by Intelligent Reflecting Surface. EAI Endorsed Trans. Mob. Commun. Appl. 7(3): e4 (2023)
• 
  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
• 
  Zhengfeng Lai, Zhuoheng Li, Luca Cerny Oliveira, Joohi Chauhan, Brittany N. Dugger, Chen-Nee Chuah:
  CLIPath: Fine-tune CLIP with Visual Feature Fusion for Pathology Image Analysis Towards Minimizing Data Collection Efforts. ICCV (Workshops) 2023: 2366-2372
• 
  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)
• 2022
• 
  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:
  BrainSec: Automated Brain Tissue Segmentation Pipeline for Scalable Neuropathological Analysis. IEEE Access 10: 49064-49079 (2022)
• 
  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
• 
  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
• 
  Aibin Yan, Chaoping Lai, Yinlei Zhang, Jie Cui, Zhengfeng Huang, Jie Song, Jing Guo, Xiaoqing Wen:
  Novel Low Cost, Double-and-Triple-Node-Upset-Tolerant Latch Designs for Nano-scale CMOS. IEEE Trans. Emerg. Top. Comput. 9(1): 520-533 (2021)
• 
  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
• 
  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:
  Enhanced Critical Congenital Cardiac Disease Screening by Combining Interpretable Machine Learning Algorithms. EMBC 2021: 1403-1406
• 
  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
• 
  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
• 
  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
• 2019
• 
  Zhiyuan Song, Aibin Yan, Jie Cui, Zhili Chen, Xuejun Li, Xiaoqing Wen, Chaoping Lai, Zhengfeng Huang, Huaguo Liang:
  A Novel Triple-Node-Upset-Tolerant CMOS Latch Design using Single-Node-Upset-Resilient Cells. ITC-Asia 2019: 139-144
• 2013
• 
  Deqiang Wang, Yewen Cao, Laibo Zheng, Zhengfeng Du:
  Iterative Group-by-Group Bit-Loading Algorithms for OFDM Systems. IEEE Trans. Veh. Technol. 62(8): 4131-4135 (2013)
• 2012
• 
  Deqiang Wang, Yewen Cao, Laibo Zheng, Zhengfeng Du:
  A Note on "Performance Analysis of UWB Systems over the IEEE 802.15.3a Channel Model". IEEE Trans. Commun. 60(12): 3909-3910 (2012)