Yu Liu

Orcid: 0000-0001-8013-4372

Affiliations:
  • Dalian University of Technology, School of Software Technology, Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian, China
  • Tsinghua University, Department of Computer Science and Technology, Beijing, China (2006 - 2008)
  • Xi'an Jiaotong University, Department of Computer Science, Xi'an, China (PhD 2006)


According to our database1, Yu Liu authored at least 79 papers between 2004 and 2024.

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Timeline

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Bibliography

2024
A self-supervised entity alignment framework via attribute correction.
J. King Saud Univ. Comput. Inf. Sci., 2024

Extensible Multi-Granularity Fusion Network for Aspect-based Sentiment Analysis.
CoRR, 2024

Towards Highly Effective Moving Tiny Ball Tracking via Vision Transformer.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Semantics Driven Multi-View Knowledge Graph Embedding for Cross-Lingual Entity Alignment.
Proceedings of the IEEE International Conference on Acoustics, 2024

DCMFNet: Deep Cross-Modal Fusion Network for Different Modalities with Iterative Gated Fusion.
Proceedings of the 50th Graphics Interface Conference, 2024

MLGAT: Multi-Scale Line Graph Attention Network for Emotion Recognition in Conversation.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Towards More Accurate Tiny Object Tracking: Benchmark and Algorithm.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

ESCP: Enhancing Emotion Recognition in Conversation with Speech and Contextual Prefixes.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Digital Twin Empowered Wireless Healthcare Monitoring for Smart Home.
IEEE J. Sel. Areas Commun., November, 2023

Dual-Channel Neural Network for Atrial Fibrillation Detection From a Single Lead ECG Wave.
IEEE J. Biomed. Health Informatics, May, 2023

Ensemble Learning-Based Atrial Fibrillation Detection From Single Lead ECG Wave for Wireless Body Sensor Network.
IEEE Trans. Netw. Sci. Eng., 2023

Dual Relation-Aware Entity Alignment for Knowledge Graph.
Proceedings of the International Joint Conference on Neural Networks, 2023

AIUnet: Asymptotic inference with U2-Net for referring image segmentation.
Proceedings of the 25th International Conference on Multimodal Interaction, 2023

Self-Supervised Graph Convolution for Video Moment Retrieval.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022
MM-UrbanFAC: Urban Functional Area Classification Model Based on Multimodal Machine Learning.
IEEE Trans. Intell. Transp. Syst., 2022

DDCNN: A Deep Learning Model for AF Detection From a Single-Lead Short ECG Signal.
IEEE J. Biomed. Health Informatics, 2022

Common belief multi-agent reinforcement learning based on variational recurrent models.
Neurocomputing, 2022

Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Structured Multimodal Fusion Network for Referring Image Segmentation.
Proceedings of the International Conference on Multimodal Interaction, 2022

2021
A deep-learning based citation count prediction model with paper metadata semantic features.
Scientometrics, 2021

Structural relational inference actor-critic for multi-agent reinforcement learning.
Neurocomputing, 2021

Seq2Img-DRNET: A travel time index prediction algorithm for complex road network at regional level.
Expert Syst. Appl., 2021

High-efficiency Euclidean-based Models for Low-dimensional Knowledge Graph Embeddings.
CoRR, 2021

Survey on atrial fibrillation detection from a single-lead ECG wave for Internet of Medical Things.
Comput. Commun., 2021

MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph Embeddings.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Neighborhood Intervention Consistency: Measuring Confidence for Knowledge Graph Link Prediction.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Pointer-Generator Based Abstractive Summarization Model with Knowledge Distillation.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

A Pre-LN Transformer Network Model with Lexical Features for Fine-Grained Sentiment Classification.
Proceedings of the Information Retrieval - 27th China Conference, 2021

TL-BERT: A Novel Biomedical Relation Extraction Approach.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Leveraging citation influences for Modeling scientific documents.
World Wide Web, 2020

Understanding hierarchical structural evolution in a scientific discipline: A case study of artificial intelligence.
J. Informetrics, 2020

Multi-teacher Knowledge Distillation for Knowledge Graph Completion.
CoRR, 2020

Enhancing knowledge graph embedding by composite neighbors for link prediction.
Computing, 2020

MCA-TFP Model: A Short-Term Traffic Flow Prediction Model Based on Multi-characteristic Analysis.
Proceedings of the Data Science, 2020

StarIn: An Approach to Predict the Popularity of GitHub Repository.
Proceedings of the Data Science, 2020

DRGCN: Deep Relation GCN for Group Activity Recognition.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

A Context-Based Network For Referring Image Segmentation.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
ITS-Frame: A Framework for Multi-Aspect Analysis in the Field of Intelligent Transportation Systems.
IEEE Trans. Intell. Transp. Syst., 2019

Distantly Supervised Relation Extraction through a Trade-off Mechanism.
Proceedings of the International Joint Conference on Neural Networks, 2019

ScholarSeq: A Benchmark Dataset for Calculating Sequences of Impact Measures at Individual Level.
Proceedings of the 3rd International Conference on Computer Science and Application Engineering, 2019

2018
Multi-views on Nature Index of Chinese academic institutions.
Scientometrics, 2018

Knowledge Graph Embedding with Entity Neighbors and Deep Memory Network.
CoRR, 2018

An encryption algorithm based on combined chaos in body area networks.
Comput. Electr. Eng., 2018

ThunderLoc: Smartphone-Based Crowdsensing for Thunder Localization.
Proceedings of the 15th Annual IEEE International Conference on Sensing, 2018

Offering Artificial Intelligence Development Situation Analysis Service for Users.
Proceedings of the Service-Oriented Computing - ICSOC 2018 Workshops, 2018

Robust Sequence-Based Localization in Acoustic Sensor Networks.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Multipath2vec: Predicting Pathogenic Genes via Heterogeneous Network Embedding.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Collaboration Patterns at Scheduling in 10 Years.
Proceedings of the Cooperative Design, Visualization, and Engineering, 2017

Content-based emotion classification in online social networks for Chinese Microblogs.
Proceedings of the Australasian Computer Science Week Multiconference, 2017

2016
A Bibliographic Analysis and Collaboration Patterns of IEEE Transactions on Intelligent Transportation Systems Between 2000 and 2015.
IEEE Trans. Intell. Transp. Syst., 2016

A graphical article-level metric for intuitive comparison of large-scale literatures.
Scientometrics, 2016

Scholarly Output Graph: A Graphical Article-Level Metric Indicating the Impact of a Scholar's Publications.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

2015
Taxi-RS: Taxi-Hunting Recommendation System Based on Taxi GPS Data.
IEEE Trans. Intell. Transp. Syst., 2015

A fast method based on multiple clustering for name disambiguation in bibliographic citations.
J. Assoc. Inf. Sci. Technol., 2015

Science Navigation Map: an Interactive Data Mining Tool for Literature Analysis.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

2014
Empirical study of L-Sequence: The basic h-index sequence for cumulative publications with consideration of the yearly citation performance.
J. Informetrics, 2014

An article level metric in the context of research community.
Proceedings of the 23rd International World Wide Web Conference, 2014

iDBMM: A Novel Algorithm to Model Dynamic Behavior in Large Evolving Graphs.
Proceedings of the IEEE 12th International Conference on Dependable, 2014

2013
Comprehensive geometrical interpretation of h-type indices.
Scientometrics, 2013

FIPSDock: A new molecular docking technique driven by fully informed swarm optimization algorithm.
J. Comput. Chem., 2013

Swarm intelligence for molecular docking.
Int. J. Model. Identif. Control., 2013

Design and Implementation of Chinese Spam Review Detection System.
Proceedings of the Chinese Lexical Semantics - 14th Workshop, 2013

2012
A New Multimodal Particle Swarm Optimization Algorithm Based on Greedy Algorithm.
Int. J. Comput. Intell. Appl., 2012

2011
A Survey on Particle Swarm Optimization Algorithms for Multimodal Function Optimization.
J. Softw., 2011

2010
An Automatic Niching Particle Swarm for Multimodal Function Optimization.
Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010

Service Science Knowledge System Bottom-up Constructed Closely with Service Industry.
Proceedings of the International Conference on Service Sciences, 2010

2009
Corrigendum to "Catalog segmentation with double constraints in business" [Pattern Recognition Letters 30 (4) (2009) 440-448].
Pattern Recognit. Lett., 2009

Catalog segmentation with double constraints in business.
Pattern Recognit. Lett., 2009

An Efficient Approach for Flexible Docking Base on Particle Swarm Optimization.
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

2008
An overview of content-based three-dimensional model retrieval methods.
Proceedings of the 3rd IEEE International Conference on System of Systems Engineering, 2008

2007
Center particle swarm optimization.
Neurocomputing, 2007

2005
Negatively Correlated Neural Network Ensemble with Multi-population Particle Swarm Optimization.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Evolving RBF Neural Networks for Pattern Classification.
Proceedings of the Computational Intelligence and Security, International Conference, 2005

2004
Hybrid particle swarm optimizer with line search.
Proceedings of the IEEE International Conference on Systems, 2004

Training Radial Basis Function Networks with Particle Swarms.
Proceedings of the Advances in Neural Networks, 2004

Feature Selection with Particle Swarms.
Proceedings of the Computational and Information Science, First International Symposium, 2004

Supervisor-student model in particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Rule Discovery with Particle Swarm Optimization.
Proceedings of the Content Computing, Advanced Workshop on Content Computing, 2004


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