Yangming Zhou

Orcid: 0000-0002-4254-6517

According to our database1, Yangming Zhou authored at least 62 papers between 2005 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Detecting k-Vertex Cuts in Sparse Networks via a Fast Local Search Approach.
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

Fact-checking based fake news detection: a review.
CoRR, 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

Bilevel Memetic Search Approach to the Soft-Clustered Vehicle Routing Problem.
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

Comparison of Classic and Recent Multi-Agent Path Finding Methods via MAPFame.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2023

Multimodal Fake News Detection via CLIP-Guided Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Bootstrapping Multi-View Representations for Fake News Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Frequent Pattern-Based Search: A Case Study on the Quadratic Assignment Problem.
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

Gravitation balanced multiple kernel learning for imbalanced classification.
Neural Comput. Appl., 2022

On fast enumeration of maximal cliques in large graphs.
Expert Syst. Appl., 2022

Robust Watermarking for Video Forgery Detection with Improved Imperceptibility and Robustness.
CoRR, 2022

Multimodal Fake News Detection via CLIP-Guided Learning.
CoRR, 2022

Frequent Itemset-driven Search for Finding Minimum Node Separators in Complex Networks.
CoRR, 2022

Heuristic Search for Rank Aggregation with Application to Label Ranking.
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
Variable Population Memetic Search: A Case Study on the Critical Node Problem.
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

Cost-Quality Adaptive Active Learning for Chinese Clinical Named Entity Recognition.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Memetic Search for Identifying Critical Nodes in Sparse Graphs.
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

Active Learning for Chinese Word Segmentation in Medical Text.
CoRR, 2019

CBOWRA: A Representation Learning Approach for Medication Anomaly Detection.
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

CBOWRA: A Representation Learning Approach for Medication Anomaly Detection.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Fine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical Text.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Question Answering based Clinical Text Structuring Using Pre-trained Language Model.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Intelligent Hospital Guidance System based on Multi-Round Conversation.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Random forest for label ranking.
Expert Syst. Appl., 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

Improving probability learning based local search for graph coloring.
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

Opposition-Based Memetic Search for the Maximum Diversity Problem.
IEEE Trans. Evol. Comput., 2017

An iterated local search algorithm for the minimum differential dispersion problem.
Knowl. Based Syst., 2017

When data mining meets optimization: A case study on the quadratic assignment problem.
CoRR, 2017

A fast heuristic algorithm for the critical node problem.
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
A label ranking method based on Gaussian mixture model.
Knowl. Based Syst., 2014

A Taxonomy of Label Ranking Algorithms.
J. Comput., 2014

A Strategy on Selecting Performance Metrics for Classifier Evaluation.
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


  Loading...