2025
ContraSurv: Enhancing Prognostic Assessment of Medical Images via Data-Efficient Weakly Supervised Contrastive Learning.
IEEE J. Biomed. Health Informatics, February, 2025
2024
Comorbidity progression analysis: patient stratification and comorbidity prediction using temporal comorbidity network.
Health Inf. Sci. Syst., December, 2024
A study on the multidimensional driving mechanism of cross-regional scientific collaboration network in China.
Technol. Anal. Strateg. Manag., November, 2024
A truncated test scheme design method for success-failure in-orbit tests.
Reliab. Eng. Syst. Saf., March, 2024
How Sino-Foreign Cooperation Networks Affect Innovation Performance of Chinese Enterprises? Evidence From Biomedical Industry.
IEEE Trans. Engineering Management, 2024
Does Capture Background Influence the Accuracy of the Deep Learning Based Fingerphoto Presentation Attack Detection Techniques?
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024
Unsupervised Fingerphoto Presentation Attack Detection With Diffusion Models.
Proceedings of the IEEE International Joint Conference on Biometrics, 2024
Enhancing Prognostic Prediction of Gastrointestinal Stromal Tumors Using Semi-Supervised Regression Based on CT Imaging Data.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
2023
Comprehensive integrated analysis of MR and DCE-MR radiomics models for prognostic prediction in nasopharyngeal carcinoma.
,
,
,
,
,
,
,
,
,
,
Vis. Comput. Ind. Biomed. Art, December, 2023
How Do Heterogeneous Networks Affect a Firm's Innovation Performance? A Research Analysis Based on Clustering and Classification.
Entropy, November, 2023
Time series clustering based on normal cloud model and complex network.
Appl. Soft Comput., November, 2023
A multi-view co-training network for semi-supervised medical image-based prognostic prediction.
,
,
,
,
,
,
,
,
,
,
,
Neural Networks, July, 2023
Time series clustering based on relationship network and community detection.
Expert Syst. Appl., April, 2023
Application of the three-parameter discrete direct grey model to forecast China's natural gas consumption.
Soft Comput., March, 2023
Radar and Jammer Intelligent Game under Jamming Power Dynamic Allocation.
Remote. Sens., February, 2023
Evaluation analysis and promotion paths of regional green innovation vitality in China.
Grey Syst. Theory Appl., 2023
Time series clustering based on complex network with synchronous matching states.
Expert Syst. Appl., 2023
Deep Features for Contactless Fingerprint Presentation Attack Detection: Can They Be Generalized?
CoRR, 2023
Deep Learning based Fingerprint Presentation Attack Detection: A Comprehensive Survey.
CoRR, 2023
A Multibeam Subarray Partition Design via Iterative Excitation Amplitude Tournament.
IEEE Access, 2023
Finger-NestNet: Interpretable Fingerphoto Verification on Smartphone using Deep Nested Residual Network.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023
2022
Dimensionality reduction for multivariate time-series data mining.
J. Supercomput., 2022
Intelligent Energy Management Strategy Based on an Improved Reinforcement Learning Algorithm With Exploration Factor for a Plug-in PHEV.
IEEE Trans. Intell. Transp. Syst., 2022
The Source Structure Design of the Rotating Magnetic Beacon Based on Phase-Shift Direction Finding System.
Sensors, 2022
A novel seasonal fractional grey model for predicting electricity demand: A case study of Zhejiang in China.
Math. Comput. Simul., 2022
Time series classification based on complex network.
Expert Syst. Appl., 2022
Institution Publication Feature Analysis Based on Time-Series Clustering.
Entropy, 2022
The potential of prostate gland radiomic features in identifying the Gleason score.
Comput. Biol. Medicine, 2022
Time series clustering via matrix profile and community detection.
Adv. Eng. Informatics, 2022
Anti-Error Robust Pattern Synthesis Algorithm in Time-Modulated Array Antenna.
IEEE Access, 2022
2021
Multivariate Time Series Data Clustering Method Based on Dynamic Time Warping and Affinity Propagation.
Wirel. Commun. Mob. Comput., 2021
Research on Pattern Synthesis of Time Modulated Sparse Array Based on Discrete Variable Convex Optimization.
Wirel. Commun. Mob. Comput., 2021
Component-Based Feature Saliency for Clustering.
IEEE Trans. Knowl. Data Eng., 2021
A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study.
,
,
,
,
,
,
,
,
,
,
,
,
,
IEEE J. Biomed. Health Informatics, 2021
Detection and segmentation of underwater objects from forward-looking sonar based on a modified Mask RCNN.
Signal Image Video Process., 2021
Multivariate time series clustering based on complex network.
Pattern Recognit., 2021
Time works well: Dynamic time warping based on time weighting for time series data mining.
Inf. Sci., 2021
Multivariate time-series clustering based on component relationship networks.
Expert Syst. Appl., 2021
Cross-Phase Adversarial Domain Adaptation for Deep Disease-free Survival Prediction with Gastric Cancer CT Images.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Fuzzy clustering based on feature weights for multivariate time series.
Knowl. Based Syst., 2020
Fast density peak clustering for large scale data based on kNN.
Knowl. Based Syst., 2020
Time is money: Dynamic-model-based time series data-mining for correlation analysis of commodity sales.
J. Comput. Appl. Math., 2020
CT radiomics can help screen the Coronavirus disease 2019 (COVID-19): a preliminary study.
,
,
,
,
,
,
,
,
,
,
Sci. China Inf. Sci., 2020
Automatic Dialogue System of Marriage Law Based on the Parallel C4.5 Decision Tree.
IEEE Access, 2020
Symmetric Dilated Convolution for Surgical Gesture Recognition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Joint Optimization of Subcarrier Selection and Power Allocation for Dual-Functional Radar-Communications System.
Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020
2019
Speed up dynamic time warpingof multivariate time series.
J. Intell. Fuzzy Syst., 2019
Multivariate time series clustering based on common principal component analysis.
Neurocomputing, 2019
Position Estimation Based on Grid Cells and Self-Growing Self-Organizing Map.
Comput. Intell. Neurosci., 2019
Anticipatory Computing for Human Behavioral Change Intervention: A Systematic Review.
IEEE Access, 2019
Similarity Measure Based on Incremental Warping Window for Time Series Data Mining.
IEEE Access, 2019
Feature Representation and Similarity Measure Based on Covariance Sequence for Multivariate Time Series.
IEEE Access, 2019
Speed Up Similarity Search of Time Series Under Dynamic Time Warping.
IEEE Access, 2019
2018
Beam Index Modulation Wireless Communication With Analog Beamforming.
IEEE Trans. Veh. Technol., 2018
A fast clustering algorithm based on pruning unnecessary distance computations in DBSCAN for high-dimensional data.
Pattern Recognit., 2018
Low-Sidelobe Pattern Synthesis for Sparse Conformal Arrays Based on PSO-SOCP Optimization.
IEEE Access, 2018
Semi-Convex Hull Tree: Fast Nearest Neighbor Queries for Large Scale Data on GPUs.
Proceedings of the IEEE International Conference on Data Mining, 2018
2017
Data Detection for OFDM Systems with Phase Noise and Channel Estimation Errors Using Variational Inference.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017
LPI Optimization Framework for Radar Network Based on Minimum Mean-Square Error Estimation.
Entropy, 2017
2016
Accurate and efficient classification based on common principal components analysis for multivariate time series.
Neurocomputing, 2016
Bayesian Block-Sparse Channel Estimation for Large-Scale MISO-OFDM Systems.
Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016
2015
On-line and dynamic time warping for time series data mining.
Int. J. Mach. Learn. Cybern., 2015
Pattern synthesis of the distributed array based on the hybrid algorithm of particle swarm optimization and convex optimization.
Proceedings of the 11th International Conference on Natural Computation, 2015
2014
Extensions and relationships of some existing lower-bound functions for dynamic time warping.
J. Intell. Inf. Syst., 2014
Asynchronism-based principal component analysis for time series data mining.
Expert Syst. Appl., 2014
Dynamic Time Warping Based on Cubic Spline Interpolation for Time Series Data Mining.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014
Study on Factors to Adopt Mobile Payment for Tourism E-Business: Based on Valence Theory and Trust Transfer Theory.
Proceedings of the Information and Communication Technologies in Tourism 2014, 2014
2013
Time series visualization based on shape features.
Knowl. Based Syst., 2013
Accurate and Fast Dynamic Time Warping.
Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013
2012
A Novel Method for Modeling Complex Network of Software System Security.
Proceedings of the Sixth International Conference on Software Security and Reliability, 2012
2011
Piecewise cloud approximation for time series mining.
Knowl. Based Syst., 2011
A generalized method for forecasting based on fuzzy time series.
Expert Syst. Appl., 2011
Similarity measure based on piecewise linear approximation and derivative dynamic time warping for time series mining.
Expert Syst. Appl., 2011
A Method of Similarity Measure and Visualization for Long Time Series Using Binary Patterns.
Proceedings of the New Frontiers in Applied Data Mining, 2011
2010
An Improved Piecewise Aggregate Approximation Based on Statistical Features for Time Series Mining.
Proceedings of the Knowledge Science, 2010
2007
Analysis of Virtual Reality Technology Applications in Agriculture.
Proceedings of the Computer And Computing Technologies In Agriculture, 2007
2004
Forecasting series-based stock price data using direct reinforcement learning.
Proceedings of the IEEE International Joint Conference on Neural Networks, 2004
2003
An enhanced least-squares approach for reinforcement learning.
Proceedings of the International Joint Conference on Neural Networks, 2003
Hybrid Least-Squares Methods for Reinforcement Learning.
Proceedings of the Developments in Applied Artificial Intelligence, 2003