DISCO2: A Comprehensive Peak Alignment Algorithm for Two-Dimensional Gas Chromatography Time-of-Flight Mass Spectrometry. - Bing Wang 004; Aiqin Fang; Xue Shi; Seongho Kim; Xiang Zhang 003 (ICIC (3), 2011)

An empirical Bayes model using a competition score for metabolite identification in gas chromatography mass spectrometry. - Jaesik Jeong; Xue Shi; Xiang Zhang 003; Seongho Kim; Changyu Shen (BMC Bioinform., 2011)

A Novel Two-Stage Alignment Method for Liquid Chromatography Mass Spectrometry-Based Metabolomics. - Xiaoli Wei; Xue Shi; Seongho Kim; Craig McClain; Xiang Zhang 003 (ICIC (1), 2012)

Model-based peak alignment of metabolomic profiling from comprehensive two-dimensional gas chromatography mass spectrometry. - Jaesik Jeong; Xue Shi; Xiang Zhang 003; Seongho Kim; Changyu Shen (BMC Bioinform., 2012)

MetPP: a computational platform for comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry-based metabolomics. - Xiaoli Wei; Xue Shi; Imhoi Koo; Seongho Kim; Robin H. Schmidt; Gavin E. Arteel; Walter H. Watson; Craig McClain; Xiang Zhang 003 (Bioinform., 2013)

An efficient post-hoc integration method improving peak alignment of metabolomics data from GCxGC/TOF-MS. - Jaesik Jeong; Xiang Zhang 003; Xue Shi; Seongho Kim; Changyu Shen (BMC Bioinform., 2013)

A Comparative Study of E-learning Platform in Reading and Translating Course for Engineering Students. - Xue Shi (Int. J. Emerg. Technol. Learn., 2016)

A level set method for convexity preserving segmentation of cardiac left ventricle. - Cong Yang; Xue Shi; Donglan Yao; Chunming Li (ICIP, 2017)

Application of Multimedia Technology in Vocabulary Learning for Engineering Students. - Xue Shi (Int. J. Emerg. Technol. Learn., 2017)

Ergonomic Evaluation Study of Occupant Function Allocation for Riot Vehicle Based on Task Load. - Qun Wang; Fang Xie; Runing Lin; Xiaoping Jin; Xue Shi (HCI (6), 2018)

A Fast Convexity Preserving Level Set Method for Segmentation of Cardiac Left Ventricle. - Xue Shi; Lijun Tang; Xiaoping Yang; Shaoxiang Zhang; Chunming Li (ISICDM, 2018)

Heart Modeling by Convexity Preserving Segmentation and Convex Shape Decomposition. - Xue Shi; Lijun Tang; Shaoxiang Zhang; Chunming Li (ISVC, 2018)

IFOC: Intensity Fitting on Overlapping Cover for Image Segmentation. - Xue Shi; Chunming Li (ISVC (2), 2019)

Extracting entities with attributes in clinical text via joint deep learning. - Xue Shi; Yingping Yi; Ying Xiong; Buzhou Tang; Qingcai Chen; Xiaolong Wang 001; Zongcheng Ji; Yaoyun Zhang; Hua Xu 001 (J. Am. Medical Informatics Assoc., 2019)

Cohort selection for clinical trials using hierarchical neural network. - Ying Xiong; Xue Shi; Shuai Chen; Dehuan Jiang; Buzhou Tang; Xiaolong Wang 001; Qingcai Chen; Jun Yan 010 (J. Am. Medical Informatics Assoc., 2019)

Family history information extraction via deep joint learning. - Xue Shi; Dehuan Jiang; Yuanhang Huang; Xiaolong Wang 001; Qingcai Chen; Jun Yan 010; Buzhou Tang (BMC Medical Informatics Decis. Mak., 2019)

Beneficial Effects of Cerebellar Low Frequency Repetitive Transcranial Magnetic Stimulation on the Patient with Meige's syndrome. - Xue Shi; Xiaolin Su; Guo Yi 007 (HealthCom, 2020)

A multiphase level set method for stroke lesion segmentation. - Ming Yang; Yun He; Xue Shi; Zhong-Ping Chen; Dan Tong; Chunming Li (ISICDM, 2020)

Flexible Hierarchical Gaussian Mixture Model for High-Resolution Remote Sensing Image Segmentation. - Xue Shi; Yu Li 002; Quanhua Zhao (Remote. Sens., 2020)

Tensile creep mechanical behavior of periodontal ligament: A hyper-viscoelastic constitutive model. - Jinlai Zhou; Yang Song; Xue Shi; Chunqiu Zhang 001 (Comput. Methods Programs Biomed., 2021)

A Hierarchical Gamma Mixture Model Toward Hidden Markov Random Field for High-Resolution SAR Image Segmentation. - Xue Shi; Yu Li 002 (IEEE Trans. Geosci. Remote. Sens., 2022)

Remote Sensing Image Segmentation Based on Hierarchical Student's-t Mixture Model and Spatial Constrains with Adaptive Smoothing. - Xue Shi; Yu Wang; Yu Li; Shiqing Dou (Remote. Sens., 2023)

Topological and geometrical joint learning for 3D graph data. - Li Han; Pengyan Lan; Xue Shi; Xiaomin Wang; Jinhai He; Genyu Li (Multim. Tools Appl., 2023)

An Automatic Hierarchical Clustering Method for the LiDAR Point Cloud Segmentation of Buildings via Shape Classification and Outliers Reassignment. - Feng Wang 044; Guoqing Zhou 001; Jiali Xie; Bolin Fu; Haotian You; Jianjun Chen 006; Xue Shi; Bowen Zhou (Remote. Sens., 2023)

Research on Multilevel Filtering Algorithm Used for Denoising Strong and Weak Beams of Daytime Photon Cloud Data with High Background Noise. - Haotian You; Yuecan Li; Zhigang Qin; Peng Lei; Jianjun Chen 006; Xue Shi (Remote. Sens., 2023)

Generalized unsupervised functional map learning for dense correspondence. - Li Han; Xue Shi; Jinhai He; Huiwen Ma; Feng Dou; Hongkai Zhao (Vis. Comput., 2023)

Real-Time Anomaly Detection in Time Series Using Transformer-Like Architecture. - Meixian Zhang; Xue Shi; Jiaxin Huang 009 (AITest, 2024)

TAU-DI Net: A Multi-Scale Convolutional Network Combining Prob-Sparse Attention for EEG-based Depression Identification. - Jingdong Zhou; Chongyuan Lian; Xiaoyong Lan; Xue Shi; Lan Wang; Nan Yan; Yi Guo (EMBC, 2024)

BNMTrans: A Brain Network Sequence-Driven Manifold-Based Transformer for Cognitive Impairment Detection Using EEG. - Ruihan Qin; Zhenxi Song; Huixia Ren; Zian Pei; Lin Zhu; Xue Shi; Yi Guo 007; Honghai Liu 001; Min Zhang 005; Zhiguo Zhang 001 (ICASSP, 2024)

DynTrackr: A Robust Two-Stage Framework with Attribute Enhancement for KPI Anomaly Detection. - Meixian Zhang; Xue Shi; Jiaxin Huang 009; Lide Su; Yanan Zhang (ISSRE (Workshops), 2024)

Segmented Electromagnetic Energy Harvester With Fast and Self-Powered MPPT for Power Takeoff Shafts. - Yizhen Wang; Tingcun Wei; Nan Chen 005; Xue Shi; Liu Yang (IEEE Trans. Instrum. Meas., 2025)

Chats-Grid: An Iterative Retrieval Q&A Optimization Scheme Leveraging Large Model and Retrieval Enhancement Generation in smart grid. - Yunfeng Li; Jiqun Zhang; Guofu Liao; Xue Shi; Junhong Liu (CoRR, 2025)