• 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 77 matches

• 2024
• 
  Ruining Tang, Zhenyu Liu, Yiguo Song, Guifang Duan, Jianrong Tan:
  Hierarchical multi-scale network for cross-scale visual defect detection. J. Intell. Manuf. 35(3): 1141-1157 (2024)
• 
  Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo:
  Cross-scale multi-instance learning for pathological image diagnosis. Medical Image Anal. 94: 103124 (2024)
• 
  Yiguo Song, Zhenyu Liu, Ruining Tang, Guifang Duan, Jianrong Tan:
  Cross-domain object detection by local to global object-aware feature alignment. Neural Comput. Appl. 36(7): 3631-3644 (2024)
• 
  Huairong Huo, Wanxin Guo, Ruining Yang, Xuran Liu, Jingyi Xue, Qingmiao Peng, Yiwei Deng, Xinyi Sun, Chunli Lv:
  Data-Driven Strategies for Complex System Forecasts: The Role of Textual Big Data and State-Space Transformers in Decision Support. Syst. 12(5): 171 (2024)
• 
  Xin Jin, Kai Liu, Cong Ma, Ruining Yang, Fei Hui, Wei Wu:
  SwiftPillars: High-Efficiency Pillar Encoder for Lidar-Based 3D Detection. AAAI 2024: 2625-2633
• 
  Ruining Chong, Luming Lu, Liner Yang, Jinran Nie, Zhenghao Liu, Shuo Wang, Shuhan Zhou, Yaoxin Li, Erhong Yang:
  MCTS: A Multi-Reference Chinese Text Simplification Dataset. LREC/COLING 2024: 11111-11122
• 
  Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Jialin Yue, Juming Xiong, Lining Yu, Yifei Wu, Mengmeng Yin, Yu Wang, Shilin Zhao, Yucheng Tang, Haichun Yang, Yuankai Huo:
  PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation. CVPR 2024: 11736-11746
• 
  Shunxing Bao, Junlin Guo, Ho Hin Lee, Ruining Deng, Can Cui, Lucas W. Remedios, Quan Liu, Qi Yang, Kaiwen Xu, Xin Yu, Jia Li, Yike Li, Joseph T. Roland, Qi Liu, Ken S. Lau, Keith T. Wilson, Lori A. Coburn, Bennett A. Landman, Yuankai Huo:
  Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network. ISBI 2024: 1-5
• 
  Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Juming Xiong, Shunxing Bao, Hao Li, Mengmeng Yin, Yu Wang, Shilin Zhao, Yucheng Tang, Haichun Yang, Yuankai Huo:
  HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis. MICCAI (4) 2024: 155-166
• 
  Lucas W. Remedios, Shunxing Bao, Samuel W. Remedios, Ho Hin Lee, Leon Y. Cai, Thomas Z. Li, Ruining Deng, Can Cui, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman:
  Nucleus subtype classification using inter-modality learning. CoRR abs/2401.05602 (2024)
• 
  Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Jialin Yue, Juming Xiong, Lining Yu, Yifei Wu, Mengmeng Yin, Yu Wang, Shilin Zhao, Yucheng Tang, Haichun Yang, Yuankai Huo:
  PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation. CoRR abs/2402.19286 (2024)
• 
  Juming Xiong, Ethan H. Nguyen, Yilin Liu, Ruining Deng, Regina N. Tyree, Hernan Correa, Girish Hiremath, Yaohong Wang, Haichun Yang, Agnes B. Fogo, Yuankai Huo:
  Circle Representation for Medical Instance Object Segmentation. CoRR abs/2403.11507 (2024)
• 
  Quan Liu, Ruining Deng, Can Cui, Tianyuan Yao, Vishwesh Nath, Yucheng Tang, Yuankai Huo:
  mTREE: Multi-Level Text-Guided Representation End-to-End Learning for Whole Slide Image Analysis. CoRR abs/2405.17824 (2024)
• 
  Jialin Yue, Tianyuan Yao, Ruining Deng, Quan Liu, Juming Xiong, Haichun Yang, Yuankai Huo:
  Weighted Circle Fusion: Ensembling Circle Representation from Different Object Detection Results. CoRR abs/2406.19540 (2024)
• 
  Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Juming Xiong, Shunxing Bao, Hao Li, Mengmeng Yin, Yu Wang, Shilin Zhao, Yucheng Tang, Haichun Yang, Yuankai Huo:
  HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis. CoRR abs/2407.00596 (2024)
• 
  Yucheng Tang, Yufan He, Vishwesh Nath, Pengfei Guo, Ruining Deng, Tianyuan Yao, Quan Liu, Can Cui, Mengmeng Yin, Ziyue Xu, Holger Roth, Daguang Xu, Haichun Yang, Yuankai Huo:
  HoloHisto: End-to-end Gigapixel WSI Segmentation with 4K Resolution Sequential Tokenization. CoRR abs/2407.03307 (2024)
• 
  Lucas W. Remedios, Shunxing Bao, Samuel W. Remedios, Ho Hin Lee, Leon Y. Cai, Thomas Z. Li, Ruining Deng, Nancy R. Newlin, Adam M. Saunders, Can Cui, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman:
  Data-driven Nucleus Subclassification on Colon H&E using Style-transferred Digital Pathology. CoRR abs/2407.06116 (2024)
• 
  Can Cui, Ruining Deng, Junlin Guo, Quan Liu, Tianyuan Yao, Haichun Yang, Yuankai Huo:
  PFPs: Prompt-guided Flexible Pathological Segmentation for Diverse Potential Outcomes Using Large Vision and Language Models. CoRR abs/2407.09979 (2024)
• 
  Muyang Li, Can Cui, Quan Liu, Ruining Deng, Tianyuan Yao, Marilyn Lionts, Yuankai Huo:
  Dataset Distillation in Medical Imaging: A Feasibility Study. CoRR abs/2407.14429 (2024)
• 
  Lining Yu, Mengmeng Yin, Ruining Deng, Quan Liu, Tianyuan Yao, Can Cui, Yu Wang, Yaohong Wang, Shilin Zhao, Haichun Yang, Yuankai Huo:
  Adapting Mouse Pathological Model to Human Glomerular Lesion Segmentation. CoRR abs/2407.18390 (2024)
• 
  Junlin Guo, Siqi Lu, Can Cui, Ruining Deng, Tianyuan Yao, Zhewen Tao, Yizhe Lin, Marilyn Lionts, Quan Liu, Juming Xiong, Catie Chang, Mitchell Wilkes, Mengmeng Yin, Haichun Yang, Yuankai Huo:
  Assessment of Cell Nuclei AI Foundation Models in Kidney Pathology. CoRR abs/2408.06381 (2024)
• 2023
• 
  Xiyun Hu, Weidong Liu, Meiqi He, Qimiao Qiu, Bingjie Zhou, Ruining Liu, Fengxu Wu, Zunnan Huang:
  Comparison of the molecular mechanisms of Fuzi Lizhong Pill and Huangqin decoction in the treatment of the cold and heat syndromes of ulcerative colitis based on network pharmacology. Comput. Biol. Medicine 159: 106870 (2023)
• 
  Liguo Zhou, Guang Chen, Lian Liu, Ruining Wang, Alois Knoll:
  Real-time semantic segmentation in traffic scene using Cross Stage Partial-based encoder-decoder network. Eng. Appl. Artif. Intell. 126: 106901 (2023)
• 
  Yao Huang, Jing He, Gang Liu, Dian Li, Ruining Hu, Xiaoxi Hu, Dingding Bian:
  YOLO-EP: A detection algorithm to detect eggs of Pomacea canaliculata in rice fields. Ecol. Informatics 77: 102211 (2023)
• 
  Yiguo Song, Zhenyu Liu, Ruining Tang, Guifang Duan, Jianrong Tan:
  GradCa: Generalizing to unseen domains via gradient calibration. Neurocomputing 529: 1-10 (2023)
• 
  Zhenyu Liu, Yiguo Song, Ruining Tang, Guifang Duan, Jianrong Tan:
  Few-shot defect recognition of metal surfaces via attention-embedding and self-supervised learning. J. Intell. Manuf. 34(8): 3507-3521 (2023)
• 
  Ruining Tang, Zhenyu Liu, Yangguang Li, Yiguo Song, Hui Liu, Qide Wang, Jing Shao, Guifang Duan, Jianrong Tan:
  Task-balanced distillation for object detection. Pattern Recognit. 137: 109320 (2023)
• 
  Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Jun Long, Zuhayr Asad, R. Michael Womick, Zheyu Zhu, Agnes B. Fogo, Shilin Zhao, Haichun Yang, Yuankai Huo:
  Omni-Seg: A Scale-Aware Dynamic Network for Renal Pathological Image Segmentation. IEEE Trans. Biomed. Eng. 70(9): 2636-2644 (2023)
• 
  Ruining Chong, Cunliang Kong, Liu Wu, Zhenghao Liu, Ziye Jin, Liner Yang, Yange Fan, Hanghang Fan, Erhong Yang:
  Leveraging Prefix Transfer for Multi-Intent Text Revision. ACL (2) 2023: 1219-1228
• 
  Can Cui, Yaohong Wang, Shunxing Bao, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Zuhayr Asad, Joseph T. Roland, Ken S. Lau, Qi Liu, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo:
  Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images. MILLanD@MICCAI 2023: 82-92

skipping 47 more matches