• 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 59 matches

• 2024
• 
  Yiming Huang, Beilei Cui, Long Bai, Ziqi Guo, Mengya Xu, Mobarakol Islam, Hongliang Ren:
  Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting. MICCAI (6) 2024: 197-207
• 
  An Wang, Haochen Yin, Beilei Cui, Mengya Xu, Hongliang Ren:
  Benchmarking Robustness of Endoscopic Depth Estimation with Synthetically Corrupted Data. SASHIMI@MICCAI 2024: 45-57
• 
  Yiming Huang, Beilei Cui, Long Bai, Ziqi Guo, Mengya Xu, Hongliang Ren:
  Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting. CoRR abs/2401.16416 (2024)
• 
  An Wang, Haochen Yin, Beilei Cui, Mengya Xu, Hongliang Ren:
  Benchmarking Robustness of Endoscopic Depth Estimation with Synthetically Corrupted Data. CoRR abs/2409.16063 (2024)
• 2023
• 
  Mengxiang Chu, Hongbo Guo, Xuelei He, Beilei Wang, Yanqiu Liu, Xiangong Hu, Jingjing Yu, Xiaowei He:
  A Graph-guided Hybrid Regularization Method For Bioluminescence Tomography. Comput. Methods Programs Biomed. 230: 107329 (2023)
• 
  Beilei Wang, Shuangchen Li, Xuelei He, Yizhe Zhao, Heng Zhang, Xiaowei He, Jingjing Yu, Hongbo Guo:
  Structure-fused deep 3D hierarchical network: A bioluminescence tomography scheme for different imaging objects. EMBC 2023: 1-5
• 
  Huangjian Yi, Ruigang Yang, Xuelei He, Hongbo Guo, Beilei Wang, Yuqing Hou, Xiaowei He:
  One-dimensional convolutional neural network for Jacobian in Diffuse Optical Tomography. EMBC 2023: 1-5
• 
  Beilei Cui, Minqing Zhang, Mengya Xu, An Wang, Wu Yuan, Hongliang Ren:
  Rectifying Noisy Labels with Sequential Prior: Multi-scale Temporal Feature Affinity Learning for Robust Video Segmentation. MICCAI (9) 2023: 90-100
• 
  Beilei Cui, Minqing Zhang, Mengya Xu, An Wang, Wu Yuan, Hongliang Ren:
  Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal Feature Affinity Learning for Robust Video Segmentation. CoRR abs/2307.05898 (2023)
• 2022
• 
  Mustafa Matar, Beilei Xu, Ramadan Elmoudi, Oluwaseyi Olatujoye, Safwan Wshah:
  A Deep Learning-Based Framework for Parameters Calibration of Power Plant Models Using Event Playback Approach. IEEE Access 10: 72132-72144 (2022)
• 
  Yu-Zhe Sun, Yong-Fei Hu, Yan Zhang, Shu-yi Wei, Bei-Lei Yang, Ying-Ping Xu, Zhi-Li Rong, Dong Wang, Bin Yang:
  FibROAD: a manually curated resource for multi-omics level evidence integration of fibrosis research. Database J. Biol. Databases Curation 2022(2022) (2022)
• 
  Cai Xu, Hongmin Liu, Ziyu Guan, Xunlian Wu, Jiale Tan, Beilei Ling:
  Adversarial Incomplete Multiview Subspace Clustering Networks. IEEE Trans. Cybern. 52(10): 10490-10503 (2022)
• 
  Beilei Jiang, Xianwei Cheng, Sihai Tang, Xu Ma, Zhaochen Gu, Song Fu, Qing Yang, Mingxiong Liu:
  MLCNN: Cross-Layer Cooperative Optimization and Accelerator Architecture for Speeding Up Deep Learning Applications. IPDPS 2022: 1184-1194
• 
  Safwan Wshah, Beilei Xu, Jason H. T. Bates, Katelin Morrissette:
  Deep Fusion of Ultrasound Videos for Furosemide Classification. ISBI 2022: 1-4
• 2021
• 
  Yao Tong, Zhenxiang Zhang, Gang Chen, Xin Li, Hang Yan, Mengya Xu, Beilei Lin:
  Testing the Feasibility of a Multi-Model Fusion Method for Monitoring the Action of Rehabilitating Stroke Patients in Care Management. IEEE Access 9: 78174-78187 (2021)
• 
  Zhongkai Shangguan, Lei Lin, Wencheng Wu, Beilei Xu:
  Neural Process for Black-box Model Optimization Under Bayesian Framework. AAAI Spring Symposium: MLPS 2021
• 
  Beilei Xu, Wencheng Wu, Lei Lin, Rachel Melnyk, Ahmed Ghazi:
  Task Evoked Pupillary Response for Surgical Task Difficulty Prediction via Multitask Learning. MOBMU 2021: 1-5
• 
  Beilei Jiang, Xianwei Cheng, Sihai Tang, Xu Ma, Zhaochen Gu, Hui Zhao, Song Fu:
  APCNN: Explore Multi-Layer Cooperation for CNN Optimization and Acceleration on FPGA. FPGA 2021: 146-147
• 
  Wencheng Wu, Beilei Xu, Edgar A. Bernal, Robert L. Hill, Danielle Desa, Edward B. Brown:
  Breast Cancer Tissue Sub-Region Classification from Second Harmonic Generation Imagery via Machine Learning. Image Processing: Algorithms and Systems 2021
• 
  Zhongkai Shangguan, Lei Lin, Wencheng Wu, Beilei Xu:
  Neural Process for Black-Box Model Optimization Under Bayesian Framework. CoRR abs/2104.02487 (2021)
• 2020
• 
  Beilei Wang, Yun Xiao, Zhihui Li, Xuanhong Wang, Xiaojiang Chen, Dingyi Fang:
  Robust Self-Weighted Multi-View Projection Clustering. AAAI 2020: 6110-6117
• 
  Trevor W. Richardson, Wencheng Wu, Lei Lin, Beilei Xu, Edgar A. Bernal:
  McFlow: Monte Carlo Flow Models for Data Imputation. CVPR 2020: 14193-14202
• 
  Lei Lin, Wencheng Wu, Zhongkai Shangguan, Safwan Wshah, Ramadan Elmoudi, Beilei Xu:
  HPT-RL: Calibrating Power System Models based on Hierarchical Parameter Tuning and Reinforcement Learning. ICMLA 2020: 1231-1237
• 
  Trevor W. Richardson, Wencheng Wu, Lei Lin, Beilei Xu, Edgar A. Bernal:
  MCFlow: Monte Carlo Flow Models for Data Imputation. CoRR abs/2003.12628 (2020)
• 2019
• 
  Li Zhang, Liwen Liu, Yiqi Zhuang, Hualian Tang, Beilei Xu, Junlin Bao, Hongjiang Wu:
  A novel sense amplifier to mitigate the impact of NBTI and PVT variations for STT-MRAM. IEICE Electron. Express 16(12): 20190238 (2019)
• 
  Lei Lin, Beilei Xu, Wencheng Wu, Trevor W. Richardson, Edgar A. Bernal:
  Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis. CVPR Workshops 2019: 83-86
• 
  Gaurang Gavai, Hoda Eldardiry, Wencheng Wu, Beilei Xu, Yoshihiro Komatsu, Shigeki Makino:
  Hybrid image-based defect detection for railroad maintenance. IMSE 2019: 1-7
• 
  Cai Xu, Ziyu Guan, Wei Zhao, Hongchang Wu, Yunfei Niu, Beilei Ling:
  Adversarial Incomplete Multi-view Clustering. IJCAI 2019: 3933-3939
• 
  Matthew Shreve, Raja Bala, Wencheng Wu, Beilei Xu, Ankur Purwar, Paul Matts:
  Region-wise Modeling of Facial Skin Age using Deep CNNs. MVA 2019: 1-6
• 
  Lei Lin, Beilei Xu, Wencheng Wu, Trevor W. Richardson, Edgar A. Bernal:
  Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis. CoRR abs/1903.11748 (2019)

skipping 29 more matches