Jiamin Liu

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 68

Top Venues

CoRR

Medical Imaging: Computer-Aided Diagnosis

ISBI

Remote. Sens.

Publications

Wangli Xu, Jiamin Liu, Heng Lian
Distributed Estimation of Support Vector Machines for Matrix Data. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Xintao Huan, Wen Chen, Changfan Wu, Jiamin Liu, Yixuan Zou, Shengkang Zhang
Secure Node Identification Through Covert Clock Feature Extraction. INFOCOM (Workshops) (2024)
Wenli Yue, Wei Su, Lei Liu, Chuan Cai, Yongna Yuan, Zhongfeng Jia, Jiamin Liu, Wenjian Xie
A Pre-trained Knowledge Tracing Model with Limited Data. DEXA (1) (2024)
Jiamin Liu, Tao Wang, Feng Yao, Witold Pedrycz, Yanjie Song, Renjie He
Assessing growth potential of careers with occupational mobility network and ensemble framework. Eng. Appl. Artif. Intell. 127 (Part A) (2024)
Jie Guan, Jiamin Liu, Alexis Morris
Design Frameworks for Spatial Zone Agents in XRI Metaverse Smart Environments. CoRR (2024)
Jiamin Liu, Wei Su, Lei Liu, Chuan Cai, Yongna Yuan, Shenglin Xu, Zhongfeng Jia, Wenli Yue, Bowang Liu
Attention and Learning Features-Enhanced Knowledge Tracing. KSEM (1) (2024)
Jiamin Liu, Hao Wang, Le Hui, Butian Tang, Liwei Zhang, Lei Jiao
Identifying the Coupling Coordination Relationship between Urbanization and Ecosystem Services Supply-Demand and Its Driving Forces: Case Study in Shaanxi Province, China. Remote. Sens. 16 (13) (2024)
Fulin Luo, Tianyuan Zhou, Jiamin Liu, Tan Guo, Xiuwen Gong, Xinbo Gao
DCENet: Diff-Feature Contrast Enhancement Network for Semi-Supervised Hyperspectral Change Detection. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Jiamin Liu, Zhao-Yan Li
Stability analysis and synthesis of discrete-time semi-Markov jump singular systems. Int. J. Control 97 (3) (2024)
Yaohong Yang, Lei Wang, Jiamin Liu, Rui Li, Heng Lian
Communication-efficient estimation of quantile matrix regression for massive datasets. Comput. Stat. Data Anal. 187 (2023)
Ruikai Hong, Bin Xiao, He Yan, Jiamin Liu, Pu Liu, Zhihua Song
Multitemporal greenhouse mapping for high-resolution remote sensing imagery based on an improved YOLOX. Comput. Electron. Agric. 206 (2023)
Jiamin Liu, Xiutong Pei, Wanyang Zhu, Jizong Jiao
Simulation of the Ecological Service Value and Ecological Compensation in Arid Area: A Case Study of Ecologically Vulnerable Oasis. Remote. Sens. 15 (16) (2023)
Jiamin Liu, Wangli Xu, Yue Wang, Heng Lian
Value iteration for streaming data on a continuous space with gradient method in an RKHS. Neural Networks 166 (2023)
Jiamin Liu, Patrizio Colaneri, Paolo Bolzern, Zhao-Yan Li
Necessary and sufficient conditions for moment stability of positive Markov jump linear systems. Appl. Math. Lett. 136 (2023)
Jiamin Liu, Zhao-Yan Li
Stabilisation of semi-Markovian jump stochastic systems via asynchronous switching control. J. Frankl. Inst. 360 (16) (2023)
Zhongfeng Jia, Wei Su, Jiamin Liu, Wenli Yue
Attentive Q-Matrix Learning for Knowledge Tracing. CoRR (2023)
Chengcheng Li, Yasheng Zhang, Zixuan Cui, Yi Zhang, Jiamin Liu, Zilong Yu, Peiying Zhang
An Overview Of Low Earth Orbit Satellite Routing Algorithms. IWCMC (2023)
Jiamin Liu, Jiaming Fang, Lu Liu
Information Exposure Level and Panic Buying: The Moderation Effect of Gender and Age. DSIT (2023)
Fulin Luo, Tianyuan Zhou, Jiamin Liu, Tan Guo, Xiuwen Gong, Jinchang Ren
Multiscale Diff-Changed Feature Fusion Network for Hyperspectral Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Jiamin Liu, Heng Lian
On Optimal Learning With Random Features. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Jiamin Liu, Tao Wang, Feng Yao, Jingbo Huang, Renjie He, Jiting Li
Career Cocoons: Analyzing Occupational Mobility with Graph Embedding Model. DSIT (2023)
Jiamin Liu, Zhao-Yan Li
Asymptotic behaviour analysis of stochastic functional differential equations with semi-Markovian switching signal. Int. J. Syst. Sci. 54 (1) (2023)
Juntai Shi, Wei Su, Lei Liu, Shenglin Xu, Tianyuan Huang, Jiamin Liu, Wenli Yue, Shihua Li
A Deep Memory-Aware Attentive Model for Knowledge Tracing. ICDM (Workshops) (2023)
Jiamin Liu, Wangli Xu, Fode Zhang, Heng Lian
Properties of Standard and Sketched Kernel Fisher Discriminant. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Jiamin Liu, Tao Wang, Yu Pan, Feng Yao, Renjie He, Zhongshan Zhang
Deep Occupational Representations Based on Career Mobility. DTPI (2023)
Jiamin Liu, Shuangge Ma, Wangli Xu, Liping Zhu
A generalized Wilcoxon-Mann-Whitney type test for multivariate data through pairwise distance. J. Multivar. Anal. 190 (2022)
Yanyan Ouyang, Jiamin Liu, Tiejun Tong, Wangli Xu
A rank-based high-dimensional test for equality of mean vectors. Comput. Stat. Data Anal. 173 (2022)
Fulin Luo, Zehua Zou, Jiamin Liu, Zhiping Lin
Dimensionality Reduction and Classification of Hyperspectral Image via Multistructure Unified Discriminative Embedding. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Yan Ren, Jiamin Liu
Multi-scale Convolutional Feature Fusion For 6D Pose Estimation. ICVIP (2022)
Heng Lian, Jiamin Liu, Zengyan Fan
Distributed learning for sketched kernel regression. Neural Networks 143 (2021)
Jiamin Liu, Bin Xiao, Yueshi Li, Xiaoyun Wang, Qiang Bie, Jizong Jiao
Simulation of Dynamic Urban Expansion under Ecological Constraints Using a Long Short Term Memory Network Model and Cellular Automata. Remote. Sens. 13 (8) (2021)
Jiamin Liu, Zhao-Yan Li, Feiqi Deng
Asymptotic behavior analysis of Markovian switching neutral-type stochastic time-delay systems. Appl. Math. Comput. 404 (2021)
Jiamin Liu, Jingbo Huang, Tao Wang, Lining Xing, Renjie He
A Data-Driven Analysis of Employee Development Based on Working Expertise. IEEE Trans. Comput. Soc. Syst. 8 (2) (2021)
Jiamin Liu, Yueshi Li, Bin Xiao, Jizong Jiao
Coupling Fuzzy Multi-Criteria Decision-Making and Clustering Algorithm for MSW Landfill Site Selection (Case Study: Lanzhou, China). ISPRS Int. J. Geo Inf. 10 (6) (2021)
Zehua Zou, Fulin Luo, Jiamin Liu, Guangyao Shi, Yufei Liu
Local Structure Graph Discriminant Embedding for Hyperspectral Image Classification. IGARSS (2021)
Fulin Luo, Yajuan Huang, Weiping Tu, Jiamin Liu
Local manifold sparse model for image classification. Neurocomputing 382 (2020)
Baolong Geng, Lichen Gu, Jiamin Liu
Novel Methods for Modeling and Online Measurement of Effective Bulk Modulus of Flowing Oil. IEEE Access 8 (2020)
Minghai Yao, Jiamin Liu, Yingqi Shen
Defect detection of magnetic sheets based on convolutional neural network stacked by perception modules. J. Electronic Imaging 29 (4) (2020)
Yiming Tang, Yufei Liu, Hong Huang, Jiamin Liu, Wenjie Xie
A Scale-Adaptive Particle Filter Tracking Algorithm Based on Offline Trained Multi-Domain Deep Network. IEEE Access 8 (2020)
Zhongyu Li, Jiamin Liu, Zhiqiang Tian, Jihua Zhu, Ce Li, Shaoyi Du
Adaptive weighted motion averaging with low-rank sparse for robust multi-view registration. Neurocomputing 413 (2020)
Jiamin Liu, Limei Zhang, Hong Huang, Chao Zheng, Song Yang
Multiple Characteristics Similarity Metric Method for Hyperspectral Image Classification. IEEE Access 8 (2020)
Jiamin Liu, Jianhua Yao, Mohammadhadi Bagheri, Veit Sandfort, Ronald M. Summers
A Semi-Supervised CNN Learning Method with Pseudo-class Labels for Atherosclerotic Vascular Calcification Detection. ISBI (2019)
Jiamin Liu, Jianhua Yao, Mohammadhadi Bagheri, Ronald M. Summers
A semi-supervised CNN learning method with pseudo-class labels for vascular calcification detection on low dose CT scans. Medical Imaging: Computer-Aided Diagnosis (2019)
Jiamin Liu, Jiting Li, Tao Wang, Renjie He
Will Your Classmates and Colleagues Affect Your Development in the Workplace: Predicting Employees' Growth Based on Interpersonal Environment. BigDataService (2019)
Youbao Tang, Ke Yan, Yuxing Tang, Jiamin Liu, Jing Xiao, Ronald M. Summers
ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example Mining. CoRR (2019)
Jiamin Liu, Tao Wang, Jiting Li, Jingbo Huang, Feng Yao, Renjie He
A Data-driven Analysis of Employee Promotion: The Role of the Position of Organization. SMC (2019)
Guangyao Shi, Hong Huang, Jiamin Liu, Zhengying Li, Lihua Wang
Spatial-Spectral Multiple Manifold Discriminant Analysis for Dimensionality Reduction of Hyperspectral Imagery. Remote. Sens. 11 (20) (2019)
Youbao Tang, Ke Yan, Yuxing Tang, Jiamin Liu, Jin Xiao, Ronald M. Summers
Uldor: A Universal Lesion Detector For Ct Scans With Pseudo Masks And Hard Negative Example Mining. ISBI (2019)
Hao Wang, Jiamin Liu, Erbao Wang, Jiting Li, Tao Wang, Yingwu Chen
Predicting Employee Career Development based on Employee Personal Background and Education Status. DSIT (2019)
Jiamin Liu, Yuxi Long, Ming Fang, Renjie He, Tao Wang, Guosheng Chen
Analyzing Employee Turnover Based on Job Skills. ICDPA (2018)
Yuxi Long, Jiamin Liu, Ming Fang, Tao Wang, Wei Jiang
Prediction of Employee Promotion Based on Personal Basic Features and Post Features. ICDPA (2018)
Jiamin Liu, Jindong Yu, Chudi Wang, Xia Zhang
An ORB Feature Matching Algorithm for Mobile Devices. ICCAE (2018)
Jiamin Liu, Jinzheng Cai, Karthik Chellamuthu, Mohammadhadi Bagheri, Le Lu, Ronald M. Summers
Cascaded coarse-to-fine convolutional neural networks for pericardial effusion localization and segmentation on CT scans. ISBI (2018)
Jiamin Liu, Karthik Chellamuthu, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers
A coarse-to-fine approach for pericardial effusion localization and segmentation in chest CT scans. Medical Imaging: Computer-Aided Diagnosis (2018)
Jiamin Liu, Yan Chang, Dong Wei, Dapeng Wang, Tieyan Zhang
An Information Monitoring Platform for Thermal Energy Storage Systems Using Cloud Computing. CCIOT (2018)
Jiamin Liu, Peng Zhang, Huanzhao Wang, Chengchen Hu
CounterMap: Towards generic traffic statistics collection and query in Software Defined Network. IWQoS (2017)
Jiamin Liu, Yuanqi Su, Yuehu Liu
Multi-modal Emotion Recognition with Temporal-Band Attention Based on LSTM-RNN. PCM (1) (2017)
Meimei Han, Mingwen Tong, Mengyuan Chen, Jiamin Liu, Chunmiao Liu
Application of Ensemble Algorithm in Students' Performance Prediction. IIAI-AAI (2017)
Fulin Luo, Hong Huang, Yule Duan, Jiamin Liu, Yinghua Liao
Local Geometric Structure Feature for Dimensionality Reduction of Hyperspectral Imagery. Remote. Sens. 9 (8) (2017)
Amal Farag, Le Lu, Holger R. Roth, Jiamin Liu, Evrim Turkbey, Ronald M. Summers
A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling. IEEE Trans. Image Process. 26 (1) (2017)
Jiamin Liu, Le Lu, Jianhua Yao, Mohammadhadi Bagheri, Ronald M. Summers
Pelvic artery calcification detection on CT scans using convolutional neural networks. Medical Imaging: Computer-Aided Diagnosis (2017)
Shuyi Chen, Ruofei Ma, Hsiao-Hwa Chen, Hong Zhang, Weixiao Meng, Jiamin Liu
Machine-to-Machine Communications in Ultra-Dense Networks - A Survey. IEEE Commun. Surv. Tutorials 19 (3) (2017)
Karthik Chellamuthu, Jiamin Liu, Jianhua Yao, Mohammadhadi Bagheri, Le Lu, Veit Sandfort, Ronald M. Summers
Atherosclerotic vascular calcification detection and segmentation on low dose computed tomography scans using convolutional neural networks. ISBI (2017)
Jiamin Liu, David Wang, Zhuoshi Wei, Le Lu, Lauren Kim, Evrim Turkbey, Ronald M. Summers
Colitis detection on computed tomography using regional convolutional neural networks. ISBI (2016)
Yinong Wang, Jianhua Yao, Joseph E. Burns, Jiamin Liu, Ronald M. Summers
Detection of Degenerative Osteophytes of the Spine on PET/CT Using Region-Based Convolutional Neural Networks. CSI@MICCAI (2016)
Fulin Luo, Hong Huang, Zezhong Ma, Jiamin Liu
Semisupervised Sparse Manifold Discriminative Analysis for Feature Extraction of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 54 (10) (2016)
Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers
Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation. IEEE Trans. Medical Imaging 35 (5) (2016)
Jiamin Liu, Nathan Lay, Zhuoshi Wei, Le Lu, Lauren Kim, Evrim Turkbey, Ronald M. Summers
Colitis detection on abdominal CT scans by rich feature hierarchies. Medical Imaging: Computer-Aided Diagnosis (2016)
Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers
Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation. CoRR (2015)
Jiamin Liu, Divya Narayanan, Kevin W. Chang, Lauren Kim, Evrim Turkbey, Le Lu, Jianhua Yao, Ronald M. Summers
Automated segmentation of the thyroid gland on CT using multi-atlas label fusion and random forest. ISBI (2015)
Holger R. Roth, Le Lu, Amal Farag, Hoo-Chang Shin, Jiamin Liu, Evrim B. Turkbey, Ronald M. Summers
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation. MICCAI (1) (2015)
Jinbo Liu, Shaohui Sun, Jiamin Liu, Yuan He
Hypergraph-Based Intercell Interference Coordination for QoS Guarantees in Dense Femtocell Networks. VTC Spring (2015)
Amal Farag, Le Lu, Holger R. Roth, Jiamin Liu, Evrim Turkbey, Ronald M. Summers
A Bottom-up Approach for Pancreas Segmentation using Cascaded Superpixels and (Deep) Image Patch Labeling. CoRR (2015)
Joanne Hoffman, Jiamin Liu, Evrim Turkbey, Lauren Kim, Ronald M. Summers
Automatic identification of IASLC-defined mediastinal lymph node stations on CT scans using multi-atlas organ segmentation. Medical Imaging: Computer-Aided Diagnosis (2015)
Jiamin Liu, Kevin W. Chang, Lauren Kim, Evrim Turkbey, Le Lu, Jianhua Yao, Ronald M. Summers
Automated segmentation of thyroid gland on CT images with multi-atlas label fusion and random classification forest. Medical Imaging: Computer-Aided Diagnosis (2015)
Holger R. Roth, Le Lu, Amal Farag, Hoo-Chang Shin, Jiamin Liu, Evrim Turkbey, Ronald M. Summers
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation. CoRR (2015)
Jiamin Liu, Jocelyn Zhao, Joanne Hoffman, Jianhua Yao, Le Lu, Evrim Turkbey, Christine Kim, Ronald M. Summers
Detection and station mapping of mediastinal lymph nodes on thoracic computed tomography using spatial prior from multi-atlas label fusion. ISBI (2014)
Jiamin Liu, Sanket Pattanaik, Jianhua Yao, Evrim Turkbey, Weidong Zhang, Xiao Zhang, Ronald M. Summers
Computer aided detection of epidural masses on computed tomography scans. Comput. Medical Imaging Graph. 38 (7) (2014)
Weidong Zhang, Jiamin Liu, Jianhua Yao, Ronald M. Summers
Reducing false positives of small bowel segmentation on CT scans by localizing colon regions. Medical Imaging: Computer-Aided Diagnosis (2014)
Hong Huang, Fulin Luo, Jiamin Liu, Zezhong Ma
Sparse Manifold Preserving for Hyperspectral Image Classification. CCPR (1) (2014)
David Allen, Le Lu, Jianhua Yao, Jiamin Liu, Evrim Turkbey, Ronald M. Summers
Robust automated lymph node segmentation with random forests. Medical Imaging: Image Processing (2014)
Ari Seff, Le Lu, Kevin M. Cherry, Holger Roth, Jiamin Liu, Shijun Wang, Joanne Hoffman, Evrim B. Turkbey, Ronald M. Summers
2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers. CoRR (2014)
Holger R. Roth, Le Lu, Ari Seff, Kevin M. Cherry, Joanne Hoffman, Shijun Wang, Jiamin Liu, Evrim Turkbey, Ronald M. Summers
A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations. CoRR (2014)
Fulin Luo, Jiamin Liu, Hong Huang, Yumei Liu
Hyperspectral Image Classification using Local spectral angle-Based Manifold Learning. Int. J. Pattern Recognit. Artif. Intell. 28 (6) (2014)
Ari Seff, Le Lu, Kevin M. Cherry, Holger R. Roth, Jiamin Liu, Shijun Wang, Joanne Hoffman, Evrim B. Turkbey, Ronald M. Summers
2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers. MICCAI (1) (2014)
Amal Farag, Le Lu, Evrim Turkbey, Jiamin Liu, Ronald M. Summers
A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans. ABDI@MICCAI (2014)
Amal Farag, Le Lu, Evrim Turkbey, Jiamin Liu, Ronald M. Summers
A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans. CoRR (2014)
Holger R. Roth, Le Lu, Ari Seff, Kevin M. Cherry, Joanne Hoffman, Shijun Wang, Jiamin Liu, Evrim Turkbey, Ronald M. Summers
A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations. MICCAI (1) (2014)
Jiamin Liu, Jocelyn Zhao, Joanne Hoffman, Jianhua Yao, Weidong Zhang, Evrim B. Turkbey, Shijun Wang, Christine Kim, Ronald M. Summers
Mediastinal lymph node detection on thoracic CT scans using spatial prior from multi-atlas label fusion. Medical Imaging: Computer-Aided Diagnosis (2014)
Weidong Zhang, Jiamin Liu, Jianhua Yao, Ronald M. Summers
Segmenting the thoracic, abdominal and pelvic musculature on CT scans combining atlas-based model and active contour model. Medical Imaging: Computer-Aided Diagnosis (2013)
Weidong Zhang, Jiamin Liu, Jianhua Yao, Adeline Louie, Tan B. Nguyen, Stephen Wank, Wieslaw L. Nowinski, Ronald M. Summers
Mesenteric Vasculature-Guided Small Bowel Segmentation on 3-D CT. IEEE Trans. Medical Imaging 32 (11) (2013)
Shijun Wang, Matthew McKenna, Zhuoshi Wei, Jiamin Liu, Peter Liu, Ronald M. Summers
Visual Phrase Learning and Its Application in Computed Tomographic Colonography. MICCAI (1) (2013)
Weidong Zhang, Jiamin Liu, Jianhua Yao, Ronald M. Summers
Automatic anatomical labeling of abdominal arteries for small bowel evaluation on 3D CT scans. ISBI (2013)
Weidong Zhang, Jiamin Liu, Jianhua Yao, Tan B. Nguyen, Adeline Louie, Stephen Wank, Wieslaw L. Nowinski, Ronald M. Summers
Mesenteric vasculature-guided small bowel segmentation on high-resolution 3D CT angiography scans. ISBI (2012)
Weidong Zhang, Jiamin Liu, Jianhua Yao, Tan Nguyen, Adeline Louie, Stephen Wank, Ronald M. Summers
Computer-aided mesenteric small vessel segmentation on high-resolution 3D contrast-enhanced CT angiography scans. Medical Imaging: Computer-Aided Diagnosis (2012)
Jiamin Liu, Kevin W. Chang, Jianhua Yao, Ronald M. Summers
Predicting Polyp Location on Optical Colonoscopy From CT Colonography by Minimal-Energy Curve Modeling of the Colonoscope Path. IEEE Trans. Biomed. Eng. 59 (12) (2012)
Jiamin Liu, Chin-Hsiang Feng, Jeremy Hua, Jianhua Yao, Jacob M. White, Ronald M. Summers
Automatic detection and segmentation of abdominopelvic lymph nodes on computed tomography scans. ISBI (2012)
Zhuoshi Wei, Jianhua Yao, Shijun Wang, Jiamin Liu, Ronald M. Summers
Computer-aided marginal artery detection on computed tomographic colonography. Medical Imaging: Computer-Aided Diagnosis (2012)
Jiamin Liu, Jeremy Hua, Vivek Chellappa, Nicholas Petrick, Berkman Sahiner, Mohammed Farooqui, Gerald Marti, Adrian Wiestner, Ronald M. Summers
Automatic detection of axillary lymphadenopathy on CT scans of untreated chronic lymphocytic leukemia patients. Medical Imaging: Computer-Aided Diagnosis (2012)
Hong Huang, Jianwei Li, Jiamin Liu
Enhanced semi-supervised local Fisher discriminant analysis for face recognition. Future Gener. Comput. Syst. 28 (1) (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jiamin Liu