Wenqiang Liu

Orcid: 0000-0003-4577-407X

According to our database1, Wenqiang Liu authored at least 60 papers between 2014 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Distributed Multi-Objective Dynamic Offloading Scheduling for Air-Ground Cooperative MEC.
CoRR, 2024

Improving LLM-based Machine Translation with Systematic Self-Correction.
CoRR, 2024

2023
Unsupervised Discrepancy-Based Domain Adaptation Network to Detect Rail Joint Condition.
IEEE Trans. Instrum. Meas., 2023

Knowledge-augmented Few-shot Visual Relation Detection.
CoRR, 2023

KLAPrompt: Infusing Semantic Knowledge into Pre-trained Language Models by Long-answer Prompt Learning.
Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

Research on Automatic Segmentation Algorithm of Brain Tumor Image Based on Multi-sequence Self-supervised Fusion in Complex Scenes.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Contrastive Learning-based Multi-behavior Recommendation with Semantic Knowledge Enhancement.
Proceedings of the IEEE International Conference on Data Mining, 2023

Rethinking Temporal Information in Session-Based Recommendation: A Position-Agnostic Approach.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

PRAM: An End-to-end Prototype-based Representation Alignment Model for Zero-resource Cross-lingual Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Learning high-order structural and attribute information by knowledge graph attention networks for enhancing knowledge graph embedding.
Knowl. Based Syst., 2022

Reduced-dimension MVDR beamformer based on sub-array optimization.
IET Commun., 2022

Centralized fusion robust filtering for networked uncertain systems with colored noises, one-step random delay, and packet dropouts.
EURASIP J. Adv. Signal Process., 2022

Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs.
Proceedings of the Semantic Web - ISWC 2022, 2022

Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
A Looseness Detection Method for Railway Catenary Fasteners Based on Reinforcement Learning Refined Localization.
IEEE Trans. Instrum. Meas., 2021

An Automatic Loose Defect Detection Method for Catenary Bracing Wire Components Using Deep Convolutional Neural Networks and Image Processing.
IEEE Trans. Instrum. Meas., 2021

High-Precision Detection Method for Structure Parameters of Catenary Cantilever Devices Using 3-D Point Cloud Data.
IEEE Trans. Instrum. Meas., 2021

A Multilevel Feature and Structure Prior Information-Based Positioning Approach for Catenary Support Components.
IEEE Trans. Instrum. Meas., 2021

Robust measurement fusion steady-state estimator design for multisensor networked systems with random two-step transmission delays and missing measurements.
Math. Comput. Simul., 2021

Shell thickening for extrusion-based ceramics printing.
Comput. Graph., 2021

Hierarchical Multilabel Text Classification via Multitask Learning.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Analysis and Optimization of Interior Noise Based on Transfer Path Analysis.
Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

TGKG: New Data Graph Based on Game Ontology.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction, 2021

2020
An Automated Defect Detection Approach for Catenary Rod-Insulator Textured Surfaces Using Unsupervised Learning.
IEEE Trans. Instrum. Meas., 2020

Cloud spot instance price prediction using k NN regression.
Hum. centric Comput. Inf. Sci., 2020

Retrieve Synonymous keywords for Frequent Queries in Sponsored Search in a Data Augmentation Way.
CoRR, 2020

Ceramic 3D printed sweeping surfaces.
Comput. Graph., 2020

Optimizing Data Placement for Cost Effective and High Available Multi-Cloud Storage.
Comput. Informatics, 2020

Design of the sleeping aid system based on face recognition.
Ad Hoc Networks, 2020

Unified Deep Learning Architecture for the Detection of All Catenary Support Components.
IEEE Access, 2020

Robust centralized fusion Kalman predictor for uncertain descriptor system with missing measurements.
Proceedings of the 16th IEEE International Conference on Control & Automation, 2020

An Automatic Fracture Defect Detection Approach for Current-carrying Rings of Catenary Droppers Using A Multi-task Neural Network.
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

2019
A new truth discovery method for resolving object conflicts over Linked Data with scale-free property.
Knowl. Inf. Syst., 2019

Learning High-order Structural and Attribute information by Knowledge Graph Attention Networks for Enhancing Knowledge Graph Embedding.
CoRR, 2019

A Novel Model for Optimizing Selection of Cloud Instance Types.
IEEE Access, 2019

Virtual Reality and Convolutional Neural Networks for Railway Catenary Support Components Monitoring.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

A Novel Algorithm for Optimizing Selection of Cloud Instance Types in Multi-Cloud Environment.
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

A novel method based on entity relationship for online transaction fraud detection.
Proceedings of the ACM Turing Celebration Conference - China, 2019

2018
Identifying advisor-advisee relationships from co-author networks via a novel deep model.
Inf. Sci., 2018

Representation learning over multiple knowledge graphs for knowledge graphs alignment.
Neurocomputing, 2018

Robust Centralized and Weighted Measurement Fusion Kalman Predictors with Multiplicative Noises, Uncertain Noise Variances, and Missing Measurements.
Circuits Syst. Signal Process., 2018

Location and fault detection of catenary support components based on deep learning.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2018

AUnet: An Unsupervised Method for Answer Reliability Evaluation in Community QA Systems.
Proceedings of the Web and Big Data, 2018

2017
A High-Precision Detection Approach for Catenary Geometry Parameters of Electrical Railway.
IEEE Trans. Instrum. Meas., 2017

Robust weighted fusion Kalman estimators for multi-model multisensor systems with uncertain-variance multiplicative and linearly correlated additive white noises.
Signal Process., 2017

Robust centralized and weighted measurement fusion Kalman estimators for multisensor systems with multiplicative and uncertain-covariance linearly correlated white noises.
J. Frankl. Inst., 2017

Robust centralized and weighted measurement fusion Kalman estimators for uncertain multisensor systems with linearly correlated white noises.
Inf. Fusion, 2017

TruthDiscover: Resolving Object Conflicts on Massive Linked Data.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

PDD Graph: Bridging Electronic Medical Records and Biomedical Knowledge Graphs via Entity Linking.
Proceedings of the Semantic Web - ISWC 2017, 2017

Delay-bounded and minimal energy broadcast in satellite networks with multi-power levels.
Proceedings of the IEEE International Conference on Communications, 2017

Robust weighted fusion white noise deconvolution estimators with uncertain-variance linearly correlated white noises and missing measurements.
Proceedings of the 20th International Conference on Information Fusion, 2017

Exploiting Source-Object Networks to Resolve Object Conflicts in Linked Data.
Proceedings of the Semantic Web - 14th International Conference, 2017

Gait recognition with skeleton information by using ensemble learning.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

Integrating embeddings of multiple gene networks to prioritize complex disease-associated genes.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Robust weighted fusion steady-state white noise deconvolution smoothers for multisensor systems with uncertain noise variances.
Signal Process., 2016

TruthDiscover: A Demonstration of Resolving Object Conflicts on Massive Linked Data.
CoRR, 2016

Exploiting Source-Object Network to Resolve Object Conflicts in Linked Data.
CoRR, 2016

Optimal Data Downloading by Using Inter-Satellite Offloading in LEO Satellite Networks.
Proceedings of the 2016 IEEE Global Communications Conference, 2016

2014
Faceted Exploring for Domain Knowledge over Linked Open Data.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014


  Loading...