Yangming Zhou
Orcid: 0000-0002-4254-6517
According to our database1,
Yangming Zhou
authored at least 69 papers
between 2005 and 2025.
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Bibliography
2025
IEEE Trans Autom. Sci. Eng., 2025
2024
An Efficient Threshold Acceptance-Based Multi-Layer Search Algorithm for Capacitated Electric Vehicle Routing Problem.
IEEE Trans. Intell. Transp. Syst., June, 2024
IEEE Trans. Comput. Soc. Syst., April, 2024
Bi-Trajectory Hybrid Search to Solve Bottleneck-Minimized Colored Traveling Salesman Problems.
IEEE Trans Autom. Sci. Eng., January, 2024
A locational false data injection attack detection method in smart grid based on adversarial variational autoencoders.
Appl. Soft Comput., January, 2024
INFORMS J. Comput., 2024
INFORMS J. Comput., 2024
Search, Examine and Early-Termination: Fake News Detection with Annotation-Free Evidences.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024
2023
Frequent Itemset-Driven Search for Finding Minimal Node Separators and its Application to Air Transportation Network Analysis.
IEEE Trans. Intell. Transp. Syst., August, 2023
A fast tri-individual memetic search approach for the distance-based critical node problem.
Eur. J. Oper. Res., July, 2023
Transp. Sci., May, 2023
Multi-modal Fake News Detection on Social Media via Multi-grained Information Fusion.
Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2023
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Syst. Man Cybern. Syst., 2022
Multi-Neighborhood Simulated Annealing-Based Iterated Local Search for Colored Traveling Salesman Problems.
IEEE Trans. Intell. Transp. Syst., 2022
Neural Comput. Appl., 2022
Robust Watermarking for Video Forgery Detection with Improved Imperceptibility and Robustness.
CoRR, 2022
Frequent Itemset-driven Search for Finding Minimum Node Separators in Complex Networks.
CoRR, 2022
Robust Watermarking for Video Forgery Detection with Improved Imperceptibility and Robustness.
Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022
An Efficient Metaheuristic Algorithm for Solving Soft-clustered Vehicle Routing Problems.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022
2021
IEEE Trans. Evol. Comput., 2021
OnionNet: Single-View Depth Prediction and Camera Pose Estimation for Unlabeled Video.
IEEE Trans. Cogn. Dev. Syst., 2021
NE-LP: Normalized entropy- and loss prediction-based sampling for active learning in Chinese word segmentation on EHRs.
Neural Comput. Appl., 2021
Late acceptance-based heuristic algorithms for identifying critical nodes of weighted graphs.
Knowl. Based Syst., 2021
From electronic health records to terminology base: A novel knowledge base enrichment approach.
J. Biomed. Informatics, 2021
Feature Importance-aware Graph Attention Network and Dueling Double Deep Q-Network Combined Approach for Critical Node Detection Problems.
CoRR, 2021
Solving Colored Traveling Salesman Problem via Multi-neighborhood Simulated Annealing Search.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2021
2020
Multiple Partial Empirical Kernel Learning with Instance Weighting and Boundary Fitting.
Neural Networks, 2020
Weight-based multiple empirical kernel learning with neighbor discriminant constraint for heart failure mortality prediction.
J. Biomed. Informatics, 2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
IEEE Trans. Cybern., 2019
Representation learning for clinical time series prediction tasks in electronic health records.
BMC Medical Informatics Decis. Mak., 2019
Incorporating dictionaries into deep neural networks for the Chinese clinical named entity recognition.
J. Biomed. Informatics, 2019
Enriching Medcial Terminology Knowledge Bases via Pre-trained Language Model and Graph Convolutional Network.
CoRR, 2019
CoRR, 2019
CoRR, 2019
An Intra-Drift-Free Robust Watermarking Algorithm in High Efficiency Video Coding Compressed Domain.
IEEE Access, 2019
Detecting Hypernymy Relations Between Medical Compound Entities Using a Hybrid-Attention Based Bi-GRU-CapsNet Model.
IEEE Access, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
PatientEG Dataset: Bringing Event Graph Model with Temporal Relations to Electronic Medical Records.
CoRR, 2018
Recurrent Capsule Network for Relations Extraction: A Practical Application to the Severity Classification of Coronary Artery Disease.
CoRR, 2018
Appl. Soft Comput., 2018
An Effective Standardization Method for the Lab Indicators in Regional Medical Health Platform Using N-grams and Stacking.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
An Attention-based BI-GRU-CapsNet Model for Hypernymy Detection between Compound Entities.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Automatic Severity Classification of Coronary Artery Disease via Recurrent Capsule Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Fast and Accurate Recognition of Chinese Clinical Named Entities with Residual Dilated Convolutions.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
An Effective Patient Representation Learning for Time-series Prediction Tasks Based on EHRs.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Learning-driven optimization approaches for combinatorial search problems. (Approches de résolution renforcées par des méthodes d'apprentissage en optimisation combinatoire).
PhD thesis, 2017
IEEE Trans. Evol. Comput., 2017
Knowl. Based Syst., 2017
When data mining meets optimization: A case study on the quadratic assignment problem.
CoRR, 2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
2016
Reinforcement learning based local search for grouping problems: A case study on graph coloring.
Expert Syst. Appl., 2016
2014
Int. J. Mob. Comput. Multim. Commun., 2014
2005
China's wetlands restoration around Poyang Lake, middle Yangtze: evidences from landsat TM/ETM images.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005