Hongyu Guo
Orcid: 0009-0006-1583-7059
According to our database1,
Hongyu Guo
authored at least 124 papers
between 2004 and 2024.
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Bibliography
2024
J. King Saud Univ. Comput. Inf. Sci., February, 2024
CoRR, 2024
A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics.
CoRR, 2024
CoRR, 2024
JitBright: towards Low-Latency Mobile Cloud Rendering through Jitter Buffer Optimization.
Proceedings of the 34th edition of the Workshop on Network and Operating System Support for Digital Audio and Video, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023
Digit. Commun. Networks, April, 2023
Binding peptide generation for MHC Class I proteins with deep reinforcement learning.
Bioinform., February, 2023
Real-time prediction algorithm and simulation of sports results based on internet of things and machine learning.
Int. J. Inf. Technol. Manag., 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
T-Cell Receptor Optimization with Reinforcement Learning and Mutation Policies for Precesion Immunotherapy.
CoRR, 2023
Phase-constrained reconstruction method with compressed sensing for multi-parametric quantitative magnetic resonance imaging.
Biomed. Signal Process. Control., 2023
Proceedings of the 8th Workshop on Representation Learning for NLP, 2023
T-Cell Receptor Optimization with Reinforcement Learning and Mutation Polices for Precision Immunotherapy.
Proceedings of the Research in Computational Molecular Biology, 2023
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
On the identification of risky lane changes: 2D time-to-collision and connected vehicle data.
Proceedings of the 8th International Conference on Models and Technologies for Intelligent Transportation Systems, 2023
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the Data Mining and Big Data - 8th International Conference, 2023
A Hybrid Model Based on Multi-level External Knowledge for Chinese Semantic Matching.
Proceedings of the IEEE International Conference on Big Data, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Int. J. Technoethics, 2022
Intelligent Data Mining-Based Method for Efficient English Teaching and Cultural Analysis.
Int. J. Mob. Comput. Multim. Commun., 2022
Modeling driver's evasive behavior during safety-critical lane changes: Two-dimensional time-to-collision and deep reinforcement learning.
CoRR, 2022
Appl. Intell., 2022
Proceedings of the Machine Learning for Cyber Security - 4th International Conference, 2022
Proceedings of the Knowledge Science, Engineering and Management, 2022
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022
External Knowledge and Data Augmentation Enhanced Model for Chinese Short Text Matching.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
Midpoint Regularization: from High Uncertainty Training to Conservative Classification.
CoRR, 2021
Fault Diagnosis of Wind Turbines Based on a Support Vector Machine Optimized by the Sparrow Search Algorithm.
IEEE Access, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Midpoint Regularization: From High Uncertainty Training Labels to Conservative Classification Decisions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Proceedings of the 7th International Conference on Models and Technologies for Intelligent Transportation Systems, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 27th Americas Conference on Information Systems, 2021
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021
2020
On SkipGram Word Embedding Models with Negative Sampling: Unified Framework and Impact of Noise Distributions.
CoRR, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the Bioinformatics Research and Applications - 16th International Symposium, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
An Improved MRI Reconstruction Algorithm Combining Partial Fourier and Parallel Imaging.
Proceedings of the BIBE 2020: The Fourth International Conference on Biological Information and Biomedical Engineering, 2020
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
CoRR, 2019
CoRR, 2019
A Neural Bag-of-Words Modelling Framework for Link Prediction in Knowledge Bases with Sparse Connectivity.
Proceedings of the World Wide Web Conference, 2019
Modeling Noisy Hierarchical Types in Fine-Grained Entity Typing: A Content-Based Weighting Approach.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Learning K-way D-dimensional Discrete Embedding for Hierarchical Data Visualization and Retrieval.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Aggregated Learning: A Vector Quantization Approach to Learning with Neural Networks.
CoRR, 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
2017
Analysis and Resolution of Semantic Ambiguity of Toggle Buttons by Standardizing the Design in Software GUI and Mobile Apps.
IJHCR, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 12th IEEE International Conference on ASIC, 2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
2016
A Novel Pedestrian Navigation Algorithm for a Foot-Mounted Inertial-Sensor-Based System.
Sensors, 2016
CoRR, 2016
Proceedings of the NAACL HLT 2016, 2016
Tunnel moving target detection based on local structure of image and gray scale information.
Proceedings of the IEEE International Conference on Intelligent Transportation Engineering, 2016
2015
IEEE Trans. Knowl. Data Eng., 2015
Butler-Volmer-Equation-Based Electrical Model for High-Power Lithium Titanate Batteries Used in Electric Vehicles.
IEEE Trans. Ind. Electron., 2015
Proceedings of the Tenth Workshop on Statistical Machine Translation, 2015
Neural Networks for Integrating Compositional and Non-compositional Sentiment in Sentiment Composition.
Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics, 2015
The Unreasonable Effectiveness of Word Representations for Twitter Named Entity Recognition.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015
Particle Filter-Based Approach to Estimate Remaining Useful Life for Predictive Maintenance.
Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the Workshop on Noisy User-generated Text, 2015
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
2014
Developing Data-driven Models to Predict BEMS Energy Consumption for Demand Response Systems.
Proceedings of the Modern Advances in Applied Intelligence, 2014
Proceedings of the Modern Advances in Applied Intelligence, 2014
Proceedings of the Seventh International Joint Conference on Computational Sciences and Optimization, 2014
A multi-view two-level classification method for generalized multi-instance problems.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014
2013
Reducing the size of databases for multirelational classification: a subgraph-based approach.
J. Intell. Inf. Syst., 2013
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Proceedings of the Sixth International Conference on Business Intelligence and Financial Engineering, 2013
2012
Learning in the Presence of Large Fluctuations: A Study of Aggregation and Correlation.
Proceedings of the New Frontiers in Mining Complex Patterns - First International Workshop, 2012
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012
Proceedings of the 3rd IEEE International Conference on Network Infrastructure and Digital Content, 2012
Proceedings of the Fifth International Conference on Business Intelligence and Financial Engineering, 2012
Proceedings of the Fifth International Conference on Business Intelligence and Financial Engineering, 2012
2011
J. Comput. Sci. Eng., 2011
To Aggregate or Not to Aggregate: That is the Question.
Proceedings of the KDIR 2011, 2011
Proceedings of the Center for Advanced Studies on Collaborative Research, 2011
Proceedings of the International Conference on 3D Imaging, 2011
2010
Proceedings of the ICDMW 2010, 2010
2009
Combining Explicitly Mask Image with Voxel-Based Morphometry for Improving 0.35T Functional MRI Data Analysis.
Proceedings of the Fifth International Conference on Image and Graphics, 2009
Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009
2008
A Framework for Query Capabilities and Interface Design of Mediators on the Gulf of Mexico Data Sources.
Proceedings of the Progress in WWW Research and Development, 2008
2007
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007
2006
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
Multiple Landmark Warping Using Thin-plate Splines.
Proceedings of the 2006 International Conference on Image Processing, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
2005
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
2004
Learning from imbalanced data sets with boosting and data generation: the DataBoost-IM approach.
SIGKDD Explor., 2004
Multiple Classifier Prediction Improvements against Imbalanced Datasets through Added Synthetic Examples.
Proceedings of the Structural, 2004
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
Boosting with Data Generation: Improving the Classification of Hard to Learn Examples.
Proceedings of the Innovations in Applied Artificial Intelligence, 2004
A New Joint Clustering and Diffeomorphism Estimation Algorithm for Non-Rigid Shape Matching.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004