Xiaokai Wei

Orcid: 0000-0003-2749-7419

According to our database1, Xiaokai Wei authored at least 60 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
An In-Flight Alignment Method for Global Positioning System-Assisted Low Cost Strapdown Inertial Navigation System in Flight Body with Short-Endurance and High-Speed Rotation.
Remote. Sens., February, 2023

Greener yet Powerful: Taming Large Code Generation Models with Quantization.
CoRR, 2023

Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

IGCN: Item Influence Enhanced Graph Convolution Networks for Recommendation of Cold-Start Items.
Proceedings of the IEEE International Conference on Data Mining, 2023

TRANSGNN: Towards Knowledge Enhanced Top-K Recommendation via Transformed Heterogeneous Graph Neural Network.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Optimal Rotational Angular Velocity Determination Method Based on Compound Rotary Semi-Strapdown Inertial Navigation System.
Sensors, 2022

Improved Multiple-Model Adaptive Estimation Method for Integrated Navigation with Time-Varying Noise.
Sensors, 2022

An Anti-Turbulence Self-Alignment Method for SINS under Unknown Latitude Conditions.
Sensors, 2022

An Improved In-flight Alignment Method Based on Backtracking Navigation for GPS-aided Low Cost SINS With Short Endurance.
IEEE Robotics Autom. Lett., 2022

Debiasing Neural Retrieval via In-batch Balancing Regularization.
CoRR, 2022

Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner.
CoRR, 2022

Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021
MixSp: A Framework for Embedding Heterogeneous Information Networks With Arbitrary Number of Node and Edge Types.
IEEE Trans. Knowl. Data Eng., 2021

A Low-Cost MEMS Missile-Borne Compound Rotation Modulation Scheme.
Sensors, 2021

Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey.
CoRR, 2021

Research on the Update Method of Attitude Quaternion for Strapdown Inertial Navigation.
IEEE Access, 2021

A Mixed Optimization Method Based on Adaptive Kalman Filter and Wavelet Neural Network for INS/GPS During GPS Outages.
IEEE Access, 2021

Robust Central Difference Kalman Filter With Mixture Correntropy: A Case Study for Integrated Navigation.
IEEE Access, 2021

Robust Cubature Kalman Filter for SINS/GPS Integrated Navigation Systems With Unknown Noise Statistics.
IEEE Access, 2021

AGMC-Based Robust Cubature Kalman Filter for SINS/GNSS Integrated Navigation System With Unknown Noise Statistics.
IEEE Access, 2021

Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Supporting Clustering with Contrastive Learning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Knowledge Graph Representation via Hierarchical Hyperbolic Neural Graph Embedding.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Network Embedding via Coupled Kernelized Multi-Dimensional Array Factorization.
IEEE Trans. Knowl. Data Eng., 2020

A New In-Flight Alignment Method with an Application to the Low-Cost SINS/GPS Integrated Navigation System.
Sensors, 2020

Optimal Design and Analysis on High Overload Buffer Structure of Passive Semi-Strapdown Inertial Navigation System.
Sensors, 2020

ICANE: interaction content-aware network embedding via co-embedding of nodes and edges.
Int. J. Data Sci. Anal., 2020

Research on Dynamic Test of Hyper-Velocity Impact Penetration Acceleration Signal.
IEEE Access, 2020

H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Optimization of a New High Rotary Missile-Borne Stabilization Platform.
Sensors, 2019

Multi-task network embedding.
Int. J. Data Sci. Anal., 2019

Signal Measurement of Projectile Penetration Overload Based on Charge Sensor.
IEEE Access, 2019

Analysis and Compensation of Installation Errors for Rotating Semi-Strapdown Inertial Navigation System.
IEEE Access, 2019

Meta-path Reduction with Transition Probability Preserving in Heterogeneous Information Network.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Unsupervised Meta-path Reduction on Heterogeneous Information Networks.
CoRR, 2018

On Exploring Semantic Meanings of Links for Embedding Social Networks.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Interaction Content Aware Network Embedding via Co-embedding of Nodes and Edges.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

On Learning Community-specific Similarity Metrics for Cold-start Link Prediction.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

2017
Constrained Active Learning for Anchor Link Prediction Across Multiple Heterogeneous Social Networks.
Sensors, 2017

On Learning Mixed Community-specific Similarity Metrics for Cold-start Link Prediction.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Embedding Identity and Interest for Social Networks.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Cross View Link Prediction by Learning Noise-resilient Representation Consensus.
Proceedings of the 26th International Conference on World Wide Web, 2017

Embedding of Embedding (EOE): Joint Embedding for Coupled Heterogeneous Networks.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

t-BNE: Tensor-based Brain Network Embedding.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Rethinking Unsupervised Feature Selection: From Pseudo Labels to Pseudo Must-Links.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Multi-view unsupervised feature selection by cross-diffused matrix alignment.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Disentangled Link Prediction for Signed Social Networks via Disentangled Representation Learning.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Multiple Social Role Embedding.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Unsupervised Feature Selection with Heterogeneous Side Information.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Contaminant removal for Android malware detection systems.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Nonlinear Joint Unsupervised Feature Selection.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Semi-supervised Tensor Factorization for Brain Network Analysis.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Online Unsupervised Multi-view Feature Selection.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Community detection with partially observable links and node attributes.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Unsupervised Feature Selection by Preserving Stochastic Neighbors.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Unsupervised Feature Selection on Networks: A Generative View.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Efficient Partial Order Preserving Unsupervised Feature Selection on Networks.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

2014
Spotting Fake Reviews via Collective Positive-Unlabeled Learning.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014


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