Zhihai Wang

Orcid: 0000-0002-5273-4933

According to our database1, Zhihai Wang authored at least 99 papers between 1999 and 2024.

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Bibliography

2024
Simultaneous Scene Imaging and GMTI Scheme With Multiple Beamforming for Hypersonic Vehicle-Borne Dive-Trajectory MC-SAR.
IEEE Trans. Geosci. Remote. Sens., 2024

Machine Learning Insides OptVerse AI Solver: Design Principles and Applications.
CoRR, 2024

Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Remaining Useful Life Prediction of Rolling Bearings Using GRU-DeepAR with Adaptive Failure Threshold.
Sensors, February, 2023

Rolling Bearing Performance Degradation Assessment with Adaptive Sensitive Feature Selection and Multi-Strategy Optimized SVDD.
Sensors, February, 2023

A Novel HLAPAA Sensor Placement Method With Adaptive Double Population Gray Wolf Optimizer.
IEEE Trans. Instrum. Meas., 2023

MICOS: Mixed supervised contrastive learning for multivariate time series classification.
Knowl. Based Syst., 2023

Time-frequency based multi-task learning for semi-supervised time series classification.
Inf. Sci., 2023

Local morphological patterns for time series classification.
Intell. Data Anal., 2023

Accelerate Presolve in Large-Scale Linear Programming via Reinforcement Learning.
CoRR, 2023

A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design.
CoRR, 2023

Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

TCHA: Contrastive Learning via Hybrid Granularities and Adaptive Sampling for Multivariate Time Series.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

An Exploration of Operational Image Recognition Application for Agricultural Meteorological Observation Based on YOLO5 Framework.
Proceedings of the 11th International Conference on Agro-Geoinformatics, 2023

Efficient Exploration in Resource-Restricted Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Intelligent Design of Reconfigurable Microstrip Antenna Based on Adaptive Immune Annealing Algorithm.
IEEE Trans. Instrum. Meas., 2022

Random pairwise shapelets forest: an effective classifier for time series.
Knowl. Inf. Syst., 2022

Multi-Focus Image Fusion Based on Multi-Scale Generative Adversarial Network.
Entropy, 2022

Alginate hydrogel microcapsules produced by coaxial electrohydrodynamic method.
Proceedings of the 17th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2022

Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A New MSGSA-Optimized Dynamic Window of Spatiotemporal Scan Statistics for Disease Outbreak Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Multi-focus image fusion based on multi-scale sparse representation.
J. Vis. Commun. Image Represent., 2021

Geospatial Least Squares Support Vector Regression Fused with Spatial Weight Matrix.
ISPRS Int. J. Geo Inf., 2021

A Proximity Forest for Multivariate Time Series Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Micro-droplet of Particulate Suspension Generated by a Pneumatic Ejection System.
Proceedings of the 16th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2021

Design and Implementation of Intelligent Agricultural Meteorological App<sup>*</sup>.
Proceedings of the 9th International Conference on Agro-Geoinformatics, 2021

2020
Reconstruction of Periodic Band Limited Signals from Non-Uniform Samples with Sub-Nyquist Sampling Rate.
Sensors, 2020

Stacking model of multi-label classification based on pruning strategies.
Neural Comput. Appl., 2020

Shapelet Discovery by Lazy Time Series Classification.
Comput. Intell. Neurosci., 2020

Discriminative Dictionary Learning for Time Series Classification.
IEEE Access, 2020

Multi-Objective Sparse Reconstruction With Transfer Learning and Localized Regularization.
IEEE Access, 2020

2019
A large margin time series nearest neighbour classification under locally weighted time warps.
Knowl. Inf. Syst., 2019

Tracking recurring concepts from evolving data streams using ensemble method.
Int. Arab J. Inf. Technol., 2019

3D Deep Learning for 3D Printing of Tooth Model.
Proceedings of the 2019 IEEE International Conference on Service Operations and Logistics, 2019

Security Assessment of a Partially Decentralized Blockchain System.
Proceedings of the 2019 IEEE International Conference on Service Operations and Logistics, 2019

Cell Printing by a Hybrid Pneumatic-electrohydrodynamic Method.
Proceedings of the ICBBS 2019: 8th International Conference on Bioinformatics and Biomedical Science, 2019

Convergence Acceleration for Multiobjective Sparse Reconstruction via Knowledge Transfer.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

Locally Slope-based Dynamic Time Warping for Time Series Classification.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Position Tolerance Design Method for Array Antenna in Internet of Things.
Wirel. Commun. Mob. Comput., 2018

一种基于树型贝叶斯网络的集成多标记分类算法 (Ensemble Multi-label Classification Algorithm Based on Tree-Bayesian Network).
计算机科学, 2018

Adaptive decomposition-based evolutionary approach for multiobjective sparse reconstruction.
Inf. Sci., 2018

An effective pattern-based Bayesian classifier for evolving data stream.
Neurocomputing, 2018

A Classifier Graph Based Recurring Concept Detection and Prediction Approach.
Comput. Intell. Neurosci., 2018

A Lazy One-Dependence Classification Algorithm Based on Selective Patterns.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Random Pairwise Shapelets Forest.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

An Effective Lazy Shapelet Discovery Algorithm for Time Series Classification.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Feedback control of ejection state of a pneumatic valve-controlled micro-droplet generator through machine vision.
Proceedings of the Eleventh International Conference on Machine Vision, 2018

Prediction of Ejection State for a Pneumatic Valve-Controlled Micro-Droplet Generator by a BP Neural Network.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Bioprinting: The Influence of Pneumatic Microdrop-on-Demand Printing Process on Cell Viability.
Proceedings of the 2018 8th International Conference on Biomedical Engineering and Technology, 2018

A Time Series Classification Method for Behaviour-Based Dropout Prediction.
Proceedings of the 18th IEEE International Conference on Advanced Learning Technologies, 2018

Security Against Network Attacks on Web Application System.
Proceedings of the Cyber Security - 15th International Annual Conference, 2018

Design and Implementation of Agricultural Meteorological Service Platform of Zhejiang Province Based on WebGIS* Sponsored by Zhejiang science and technology plan project (2015C02048, 2015C33055), "12th Five-Year" National Science and technology support program topic (2012BAD20B02), China Meteorological Administration climate change special issue (CCSF201427).
Proceedings of the 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), 2018

Evaluation of Tea Frost Risk in Zhejiang Province Based on GIS.
Proceedings of the 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), 2018

The System Supervising and Warning the Agricultural Meteorological Disaster of Zhejiang Based on WebGIS* Sponsored by Zhejiang science and technology plan project (2015C02048, 2015C33055), "12th Five-Year" National Science and technology support program topic (2012BAD20B02) and China Meteorological Administration climate change special issue (CCSF201427).
Proceedings of the 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics), 2018

2017
A hybrid evolutionary algorithm for multiobjective sparse reconstruction.
Signal Image Video Process., 2017

基于时间的局部低秩张量分解的协同过滤推荐算法 (Time-based Local Collaborative Filtering Recommendation Algorithm on Tensor Factorization).
计算机科学, 2017

一种基于数据流模式表示的半懒惰式分类算法 (Partially-lazy Learning Classification Algorithm Based on Representation of Data Stream Model).
计算机科学, 2017

A Pattern-Based Bayesian Classifier for Data Stream.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Genetic Algorithm Based on Attribute Correlation for Multi-label Classification.
Proceedings of the 2017 International Conference on Machine Learning and Soft Computing, 2017

2016
Online Ensemble Using Adaptive Windowing for Data Streams with Concept Drift.
Int. J. Distributed Sens. Networks, 2016

2015
时间序列的表示与分类算法综述 (Review of Time Series Representation and Classification Techniques).
计算机科学, 2015

A lazy associative classifier for time series.
Intell. Data Anal., 2015

Mining closed and multi-supports-based sequential pattern in high-dimensional dataset.
Int. Arab J. Inf. Technol., 2015

Coupling Multiple Views of Relations for Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

A Simple Local Search Algorithm for Minimizing Interference in Wireless Sensor Networks.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

2014
Multi-label learning based on iterative label propagation over graph.
Pattern Recognit. Lett., 2014

Efficient Method for Mining Patterns from Highly Similar and Dense Database based on Prefix-Frequent-Items.
J. Softw., 2014

Selecting One Dependency Estimators in Bayesian Network Using Different MDL Scores and Overfitting Criterion.
J. Inf. Sci. Eng., 2014

A Discriminative Shapelets Transformation for Time Series Classification.
Int. J. Pattern Recognit. Artif. Intell., 2014

2013
Closed Sequential Pattern Mining in High Dimensional Sequences.
J. Softw., 2013

Leveraging Supervised Label Dependency Propagation for Multi-label Learning.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Learning Tree Structure of Label Dependency for Multi-label Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

An Integrated Pruning Criterion for Ensemble Learning Based on Classification Accuracy and Diversity.
Proceedings of the 7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing, 2012

2010
Shortages of the Traditional Calculation of Interference Intensity of the Control Rules.
Proceedings of the Information Computing and Applications - First International Conference, 2010

Learning Restricted Bayesian Network Classifiers with Mixed Non-i.i.d. Sampling.
Proceedings of the ICDMW 2010, 2010

Learning Robust Bayesian Network Classifiers in the Space of Markov Equivalent Classes.
Proceedings of the ICDMW 2010, 2010

2009
A Smart Design for the TAN Classifier.
Proceedings of the Second International Workshop on Knowledge Discovery and Data Mining, 2009

OFFD: Optimal Flexible Frequency Discretization for Naïve Bayes Classification.
Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009

2008
The planar Ramsey numbers PR(K4-e, Kk-e).
Ars Comb., 2008

A Parallel Algorithm For Image Semantic Information Searching.
Proceedings of the Fourth International Conference on Natural Computation, 2008

2007
A novel feature selection algorithm for text categorization.
Expert Syst. Appl., 2007

Learning Bayesian Networks with Combination of MRMR Criterion and EMI Method.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Learning Bayesian Networks Using Evolutionary Algorithm and a Variant of MDL Score.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Learning Bayesian Networks Based on a Mutual Information Scoring Function and EMI Method.
Proceedings of the Advances in Neural Networks, 2007

Learning Bayesian Networks with the Combination of Evolutionary Algorithm and EMI Method.
Proceedings of the International Conference on Artificial Intelligence and Pattern Recognition, 2007

2006
Regularized Semi-supervised Classification on Manifold.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

2005
Not So Naive Bayes: Aggregating One-Dependence Estimators.
Mach. Learn., 2005

Learning TAN from Incomplete Data.
Proceedings of the Advances in Intelligent Computing, 2005

An Improved kNN Algorithm - Fuzzy kNN.
Proceedings of the Computational Intelligence and Security, International Conference, 2005

2004
Selective Augmented Bayesian Network Classifiers Based on Rough Set Theory.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

2003
Improving Classification Performance by Combining Multiple <i>TAN</i>Classifiers.
Proceedings of the Rough Sets, 2003

A New Restricted Bayesian Network Classifier.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Adjusting Dependence Relations for Semi-Lazy TAN Classifiers.
Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

2002
Comparison of Lazy Bayesian Rule and Tree-Augmented Bayesian Learning.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Averaged One-Dependence Estimators: Preliminary Results.
Proceedings of the 15th Australian Joint Conference on Artificial Intelligence 2002, 2002

A Heuristic Lazy Bayesian Rule Algorithm.
Proceedings of the 15th Australian Joint Conference on Artificial Intelligence 2002, 2002

2001
A General Tolerance Information System.
Proceedings of the SCAI'01, 2001

1999
Programming with Knowledge Objects.
Proceedings of the International Conference on Artificial Intelligence, 1999

Rule Extraction Algorithms Based on Concept Lattice.
Proceedings of the International Conference on Artificial Intelligence, 1999


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