Zelong Liu - RankMe

32 papers C 2Misc 1Journal 17Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Coarse-to-fine crack cue for robust crack detection. Pattern Recognit. Zelong Liu, Yuliang Gu, Zhichao Sun, Huachao Zhu, Xin Xiao, Bo Du, Laurent Najman, Yongchao Xu
2025	J	`jnl`	Coarse-to-fine crack cue for robust crack detection. CoRR Zelong Liu, Yuliang Gu, Zhichao Sun, Huachao Zhu, Xin Xiao, Bo Du, Laurent Najman, Yongchao Xu
2025	J	`jnl`	Consistent-Point: Consistent Pseudo-Points for Semi-Supervised Crowd Counting and Localization. CoRR Yuda Zou, Zelong Liu, Yuliang Gu, Bo Du, Yongchao Xu
2025	—	`conf`	Neighborhood-Consistent Binary Transformation for Domain-Invariant Chest X-Ray Diagnosis. MICCAI (5) Zelong Liu, Huachao Zhu, Zhichao Sun, Yuda Zou, Yuliang Gu, Bo Du, Yongchao Xu
2025	J	`jnl`	RefDrone: A Challenging Benchmark for Referring Expression Comprehension in Drone Scenes. CoRR Zhichao Sun, Yepeng Liu, Huachao Zhu, Yuliang Gu, Yuda Zou, Zelong Liu, Gui-Song Xia, Bo Du, Yongchao Xu
2025	—	`conf`	Test-Time Training with Local Contrast-Preserving Copy-Pasted Image for Domain Generalization in Retinal Vessel Segmentation. MICCAI (7) Yuliang Gu, Zhichao Sun, Zelong Liu, Yongchao Xu
2025	J	`jnl`	Theoretical and Experimental Investigations on Antisymmetric Wave Propagation in the Buried Fluid-Filled Pipelines to Improve Vibroacoustic Leak Localization Methods. IEEE Trans. Instrum. Meas. Suzhen Li, Yaohua Huang, Zelong Liu
2025	J	`jnl`	Unified Supervision For Vision-Language Modeling in 3D Computed Tomography. CoRR Hao-Chih Lee, Zelong Liu, Hamza Ahmed, Spencer Kim, Sean Huver, Vishwesh Nath, Zahi A. Fayad, Timothy Deyer, Xueyan Mei
2025	—	`conf`	Unified Supervision for Vision-Language Modeling in 3D Computed Tomography. ICCVW Hao-Chih Lee, Zelong Liu, Hamza Ahmed, Spencer Kim, Sean Huver, Vishwesh Nath, Zahi A. Fayad, Timothy Deyer, Xueyan Mei
2024	Misc	`conf`	Efficient Concept Drift Detection: A Meta Feature Selection Approach. ICISS Zelong Liu, Pingfan Wang, Nanlin Jin
2024	J	`jnl`	MRAnnotator: A Multi-Anatomy Deep Learning Model for MRI Segmentation. CoRR Alexander Zhou, Zelong Liu, Andrew Tieu, Nikhil Patel, Sean Sun, Anthony Yang, Peter Choi, Valentin Fauveau, George Soultanidis, Mingqian Huang, Amish Doshi, Zahi A. Fayad, Timothy Deyer, Xueyan Mei
2024	—	`conf`	P2A: Transforming Proposals to Anomaly Masks. ICPR (33) Huachao Zhu, Zhichao Sun, Zelong Liu, Yongchao Xu
2024	—	`conf`	RadImageGAN - A Multi-modal Dataset-Scale Generative AI for Medical Imaging. AMAI@MICCAI Zelong Liu, Peyton Smith, Alexander Lautin, Jieshen Zhou, Maxwell Yoo, Mikey Sullivan, Haorun Li, Louisa Deyer, Alexander Zhou, Arnold Yang, Alara Yilmaz, Catherine Zhang, James Grant, Daiqing Li, Zahi A. Fayad, Sean Huver, Timothy Deyer, Xueyan Mei
2024	—	`conf`	Spatial-Aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image. MICCAI (5) Zerui Zhang, Zhichao Sun, Zelong Liu, Zhou Zhao, Rui Yu, Bo Du, Yongchao Xu
2024	J	`jnl`	Spatial-aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image. CoRR Zerui Zhang, Zhichao Sun, Zelong Liu, Bo Du, Rui Yu, Zhou Zhao, Yongchao Xu
2024	—	`conf`	VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and Classification. MLMI@MICCAI (2) Zelong Liu, Andrew Tieu, Nikhil Patel, George Soultanidis, Louisa Deyer, Ying Wang, Sean Huver, Alexander Zhou, Yunhao Mei, Zahi A. Fayad, Timothy Deyer, Xueyan Mei
2024	J	`jnl`	VISION-MAE: A Foundation Model for Medical Image Segmentation and Classification. CoRR Zelong Liu, Andrew Tieu, Nikhil Patel, Alexander Zhou, George Soultanidis, Zahi A. Fayad, Timothy Deyer, Xueyan Mei
2023	J	`jnl`	Dual Structure-Preserving Image Filterings for Semi-supervised Medical Image Segmentation. CoRR Yuliang Gu, Zhichao Sun, Xin Xiao, Yuda Zou, Zelong Liu, Yongchao Xu
2023	J	`jnl`	Foreground Segmentation-Based Density Grading Networks for Crowd Counting. Sensors Zelong Liu, Xin Zhou, Tao Zhou, Yuanyuan Chen
2023	J	`jnl`	Generative AI for Medical Imaging: extending the MONAI Framework. CoRR Walter H. L. Pinaya, Mark S. Graham, Eric Kerfoot, Petru-Daniel Tudosiu, Jessica Dafflon, Virginia Fernandez, Pedro Sanchez, Julia Wolleb, Pedro F. Da Costa, Ashay Patel, Hyungjin Chung, Can Zhao, Wei Peng, Zelong Liu, Xueyan Mei, Oeslle Lucena, Jong Chul Ye, Sotirios A. Tsaftaris, Prerna Dogra, Andrew Feng, Marc Modat, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2023	J	`jnl`	Label prompt for multi-label text classification. Appl. Intell. Rui Song, Zelong Liu, Xingbing Chen, Haining An, Zhiqi Zhang, Xiaoguang Wang, Hao Xu
2023	J	`jnl`	RadImageGAN - A Multi-modal Dataset-Scale Generative AI for Medical Imaging. CoRR Zelong Liu, Alexander Zhou, Arnold Yang, Alara Yilmaz, Maxwell Yoo, Mikey Sullivan, Catherine Zhang, James Grant, Daiqing Li, Zahi A. Fayad, Sean Huver, Timothy Deyer, Xueyan Mei
2022	C	`conf`	Automated machine learning-based radiomics analysis versus deep learning-based classification for thyroid nodule on ultrasound images: a multi-center study. BIBE Zelong Liu, Louisa Deyer, Arnold Yang, Steven Liu, Jingqi Gong, Yang Yang, Mingqian Huang, Amish Doshi, Meng Lu, Denise Lee, Timothy Deyer, Xueyan Mei
2022	C	`conf`	Automated measurements of leg length on radiographs by deep learning. BIBE Zelong Liu, Arnold Yang, Steven Liu, Louisa Deyer, Timothy Deyer, Hao-Chih Lee, Yang Yang, Justine Lee, Zahi A. Fayad, Brett Hayden, Valentin Fauveau, Mingqian Huang, Xueyan Mei
2021	J	`jnl`	Label Mask for Multi-Label Text Classification. CoRR Rui Song, Xingbing Chen, Zelong Liu, Haining An, Zhiqi Zhang, Xiaoguang Wang, Hao Xu
2021	J	`jnl`	NOMA resource allocation method in IoV based on prioritized DQN-DDPG network. EURASIP J. Adv. Signal Process. Mengli He, Yue Li, Xiaofei Wang, Zelong Liu
2014	—	`conf`	Topic selection in latent dirichlet allocation. FSKD Biao Wang, Yang Liu, Zelong Liu, Maozhen Li, Man Qi
2013	—	`—`	High performance latent dirichlet allocation for text mining. Zelong Liu
2012	—	`conf`	Analysis of TOA estimation using the received signal characteristics in IR UWB ranging with energy detection receiver. WCSP Wenyan Liu, Hong Ding, Xiaotao Huang, Zelong Liu
2012	J	`jnl`	TOA Estimation in IR UWB Ranging with Energy Detection Receiver Using Received Signal Characteristics. IEEE Commun. Lett. Wenyan Liu, Hong Ding, Xiaotao Huang, Zelong Liu
2011	—	`conf`	Performance evaluation of Latent Dirichlet Allocation in text mining. FSKD Zelong Liu, Maozhen Li, Yang Liu, Mahesh Ponraj
2010	—	`conf`	MRSim: A discrete event based MapReduce simulator. FSKD Suhel Hammoud, Maozhen Li, Yang Liu, Nasullah Khalid Alham, Zelong Liu