Yuming Liu

Orcid: 0009-0005-8584-8100

According to our database1, Yuming Liu authored at least 69 papers between 2005 and 2024.

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Bibliography

2024
Realistic real-time processing of anime portraits based on generative adversarial networks.
J. Real Time Image Process., July, 2024

Robotics in the Construction Sector: Trends, Advances, and Challenges.
J. Intell. Robotic Syst., June, 2024

A novel link fabrication attack detection method for low-latency SDN networks.
J. Inf. Secur. Appl., 2024

A conditional generative model for end-to-end stress field prediction of composite bolted joints.
Eng. Appl. Artif. Intell., 2024

TF-F-GAN: A GAN-based model to predict the assembly physical fields under multi-modal variables fusion on vision transformer.
Adv. Eng. Informatics, 2024

SR-M-GAN: A generative model for high-fidelity stress fields prediction of the composite bolted joints.
Adv. Eng. Informatics, 2024

Research on Detection and Mitigation Methods of Adaptive Flow Table Overflow Attacks in Software-Defined Networks.
IEEE Access, 2024

The Optimal Horizon Model Predictive Control Planning for Autonomous Vehicles in Dynamic Environments.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023
Symmetry-Driven Unsupervised Abnormal Object Detection for Railway Inspection.
IEEE Trans. Ind. Informatics, December, 2023

Collagen fiber centerline tracking in fibrotic tissue via deep neural networks with variational autoencoder-based synthetic training data generation.
Medical Image Anal., December, 2023

Predicting education building occupants' thermal sensation through CatBoost-DF algorithm.
Appl. Artif. Intell., December, 2023

Research on Collaborative Mechanisms of Railway EPC Project Design and Construction from the Perspective of Social Network Analysis.
Syst., September, 2023

DSEU-net: A novel deep supervision SEU-net for medical ultrasound image segmentation.
Expert Syst. Appl., August, 2023

A Hybrid Optical-Electrical Analog Deep Learning Accelerator Using Incoherent Optical Signals.
ACM J. Emerg. Technol. Comput. Syst., April, 2023

A multi-scale blocking moving window algorithm for geostatistical seismic inversion.
Comput. Geosci., April, 2023

Dynamic Obstacle Avoidance for Cable-Driven Parallel Robots With Mobile Bases via Sim-to-Real Reinforcement Learning.
IEEE Robotics Autom. Lett., March, 2023

Energy Balance of Wireless Sensor Nodes Based on Bluetooth Low Energy and Thermoelectric Energy Harvesting.
Sensors, February, 2023

Event Circuit Structures for Deadlock Avoidance in Flexible Manufacturing Systems.
IEEE Trans Autom. Sci. Eng., 2023

POAGuard: A Defense Mechanism Against Preemptive Table Overflow Attack in Software-Defined Networks.
IEEE Access, 2023

Detecting Novelty Seeking From Online Travel Reviews: A Deep Learning Approach.
IEEE Access, 2023

Forecdiction of Short-term Wind Power in Ice Season Based on Wind Turbine Operating State and Deep Learning.
Proceedings of the IEEE Sustainable Power and Energy Conference, 2023

Denoising of Online Resistance Measurements of Power Connectors for IoT Applications.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Knowledge-Guidance Based Directed Graph Clustering.
Proceedings of the 19th International Conference on Natural Computation, 2023

Memristor-Spikelearn: A Spiking Neural Network Simulator for Studying Synaptic Plasticity under Realistic Device and Circuit Behaviors.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022
Multilinear-Trend Fuzzy Information Granule-Based Short-Term Forecasting for Time Series.
IEEE Trans. Fuzzy Syst., 2022

GwPFV: A novel packet forwarding verification mechanism based on gateways in SDN-based storage environment.
J. Inf. Secur. Appl., 2022

ESKNet-An enhanced adaptive selection kernel convolution for breast tumors segmentation.
CoRR, 2022

Geometric Disentangled Collaborative Filtering.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Localized Graph Collaborative Filtering.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

HousE: Knowledge Graph Embedding with Householder Parameterization.
Proceedings of the International Conference on Machine Learning, 2022

EDTER: Edge Detection with Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Multi-Camera Vehicle Tracking Based on Occlusion-aware and Inter-vehicle Information.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

BAGNet: Bidirectional Aware Guidance Network for Malignant Breast lesions Segmentation.
Proceedings of the 7th Asia-Pacific Conference on Intelligent Robot Systems, 2022

2021
Analysis of a Smart Sensor Based Solution for Smart Grids Real-Time Dynamic Thermal Line Rating.
Sensors, 2021

Integrate new cross association fuzzy logical relationships to multi-factor high-order forecasting model of time series.
Int. J. Mach. Learn. Cybern., 2021

The Effects of Review Presentation Formats on Consumers' Purchase Intention.
J. Glob. Inf. Manag., 2021

Gophormer: Ego-Graph Transformer for Node Classification.
CoRR, 2021

Localized Graph Collaborative Filtering.
CoRR, 2021

TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search.
CoRR, 2021

Optimization of an Offshore Oilfield Multi-Platform Interconnected Power System Structure.
IEEE Access, 2021

Expansion Planning Method of Offshore Multiplatform Power System With Wind Power Considering Cable Size Selection.
IEEE Access, 2021

TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search.
Proceedings of the WWW '21: The Web Conference 2021, 2021

AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

A New Segmentation Method to Preserve the Underlying Image Features: U-Net with Multi-scale Pooling.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2021

A Hybrid Optical-Electrical Analog Deep Learning Accelerator Using Incoherent Optical Signals.
Proceedings of the GLSVLSI '21: Great Lakes Symposium on VLSI 2021, 2021

A novel design algorithm for multifunctional drawing table.
Proceedings of the CONF-CDS 2021: The 2nd International Conference on Computing and Data Science, 2021

2020
Examining the Effect of Reviewer Socioeconomic Status Disclosure on Customers' Purchase Intention.
J. Glob. Inf. Manag., 2020

Study on the control method about improving piezoelectric actuated photoelectric precision tracking system.
J. Comput. Methods Sci. Eng., 2020

Flexible automatic detection for security management of dispatching data network.
J. Cloud Comput., 2020

Research of Power Energy Management Control Strategy with IOT in NZEB.
Proceedings of the 2020 IEEE International Conference on Smart Internet of Things, 2020

Design and Implementation of a Cascade Vertical Pulling Artificial Intelligent Automatic Yarn Dropping Robot.
Proceedings of the 5th International Conference on Automation, 2020

Deep Network For Road Damage Detection.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
The Effects of Image-Based Online Reviews on Customers' Perception Across Product Type and Gender.
J. Glob. Inf. Manag., 2019

A fast multi-layer boundary element method for direct numerical simulation of sound propagation in shallow water environments.
J. Comput. Phys., 2019

A scheme of seamless handover in Wireless Communications based on sentinel mechanism.
Proceedings of the 15th International Wireless Communications & Mobile Computing Conference, 2019

Fuzzy Partition Based Period Detection Method for Numerical Time Series.
Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019

2018
An evaluation of the design and construction of energy management platform for public buildings based on WSR system approach.
Kybernetes, 2018

Leader-Follower Consensus over Directed Networks with Time-varying Nonlinear Multi-agents using Minimum Number of Leaders.
Proceedings of the 14th IEEE International Conference on Control and Automation, 2018

2017
Active Nonlinear Acoustic Sensing of an Object with Sum or Difference Frequency Fields.
Remote. Sens., 2017

Computation of three-dimensional multiphase flow dynamics by Fully-Coupled Immersed Flow (FCIF) solver.
J. Comput. Phys., 2017

A Method of Improved CNN Traffic Classification.
Proceedings of the 13th International Conference on Computational Intelligence and Security, 2017

2016
Political risks analysis for international project under the new situation-case study on the market of saudi arabia.
Proceedings of the International Conference on Logistics, Informatics and Service Sciences, 2016

Application of artificial neural network in Geology: Porosity estimation and lithological facies classification.
Proceedings of the 12th International Conference on Natural Computation, 2016

2015
A back propagation artificial neural network application in lithofacies identification.
Proceedings of the 11th International Conference on Natural Computation, 2015

2012
The hydrological response to human activities in Guishui River Basin, Beijing, China.
Proceedings of the 20th International Conference on Geoinformatics, 2012

Knowledge-Guided Clustering of Large-Scale Time Series under Wavelet Transformation.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2012

2011
An efficient high-order boundary element method for nonlinear wave-wave and wave-body interactions.
J. Comput. Phys., 2011

2005
The Dynamic Character Curve Adjusting Model of Electric Load Based on Data Mining Theory.
Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005


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