Xiaokai Wei

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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.

Xiaokai Wei, Jie Li, Ding Han, Junlin Wang, Ying Zhan, Xin Wang, Kaiqiang Feng

Remote. Sens., February, 2023

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

Xiaokai Wei, Sujan K. Gonugondla, Wasi Uddin Ahmad, Shiqi Wang, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang

CoRR, 2023

Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study.

Xiaokai Wei, Sujan Kumar Gonugondla, Shiqi Wang, Wasi Uddin Ahmad, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang

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.

Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu

Proceedings of the IEEE International Conference on Data Mining, 2023

TRANSGNN: Towards Knowledge Enhanced Top-K Recommendation via Transformed Heterogeneous Graph Neural Network.

Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu

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.

Chenming Zhang, Jie Li, Xiaoqiao Yuan, Xi Zhang, Xiaokai Wei, Kaiqiang Feng, Chenjun Hu, Debiao Zhang, Yubing Jiao

Sensors, 2022

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

Jinhao Song, Jie Li, Xiaokai Wei, Chenjun Hu, Zeyu Zhang, Lening Zhao, Yubing Jiao

Sensors, 2022

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

Yubing Jiao, Jie Li, Xihong Ma, Kaiqiang Feng, Xiaoting Guo, Xiaokai Wei, Yujun Feng, Chenming Zhang, Jingqi Wang

Sensors, 2022

An Improved In-flight Alignment Method Based on Backtracking Navigation for GPS-aided Low Cost SINS With Short Endurance.

Xiaokai Wei, Jie Li, Kaiqiang Feng, Debiao Zhang

IEEE Robotics Autom. Lett., 2022

Debiasing Neural Retrieval via In-batch Balancing Regularization.

Yuantong Li, Xiaokai Wei, Zijian Wang, Shen Wang, Parminder Bhatia, Xiaofei Ma, Andrew O. Arnold

CoRR, 2022

Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner.

Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Rui Dong, Xiaokai Wei, Henry Zhu, Xinchi Chen, Zhiheng Huang, Peng Xu, Andrew O. Arnold, Dan Roth

CoRR, 2022

Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner.

Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Rui Dong, Xiaokai Wei, Henghui Zhu, Xinchi Chen, Peng Xu, Zhiheng Huang, Andrew O. Arnold, Dan Roth

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora.

Xisen Jin, Dejiao Zhang, Henghui Zhu, Wei Xiao, Shang-Wen Li, Xiaokai Wei, Andrew O. Arnold, Xiang Ren

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.

Linchuan Xu, Jing Wang, Lifang He, Jiannong Cao, Xiaokai Wei, Philip S. Yu, Kenji Yamanishi

IEEE Trans. Knowl. Data Eng., 2021

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

Xiaoqiao Yuan, Jie Li, Xi Zhang, Kaiqiang Feng, Xiaokai Wei, Debiao Zhang, Jing Mi

Sensors, 2021

Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey.

Xiaokai Wei, Shen Wang, Dejiao Zhang, Parminder Bhatia, Andrew O. Arnold

CoRR, 2021

Research on the Update Method of Attitude Quaternion for Strapdown Inertial Navigation.

Debiao Zhang, Jie Li, Yang Liu, Xiaokai Wei, Kaiqiang Feng

IEEE Access, 2021

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

Xiaokai Wei, Jie Li, Kaiqiang Feng, Debiao Zhang, Pengyun Li, Lening Zhao, Yubing Jiao

IEEE Access, 2021

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

Kaiqiang Feng, Jie Li, Debiao Zhang, Xiaokai Wei, Jianping Yin

IEEE Access, 2021

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

Kaiqiang Feng, Jie Li, Debiao Zhang, Xiaokai Wei, Jianping Yin

IEEE Access, 2021

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

Kaiqiang Feng, Jie Li, Debiao Zhang, Xiaokai Wei, Jianping Yin

IEEE Access, 2021

Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion.

Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu, Isabel F. Cruz

Proceedings of the WWW '21: The Web Conference 2021, 2021

Supporting Clustering with Contrastive Learning.

Dejiao Zhang, Feng Nan, Xiaokai Wei, Shang-Wen Li, Henghui Zhu, Kathleen R. McKeown, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang

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.

Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Philip S. Yu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Network Embedding via Coupled Kernelized Multi-Dimensional Array Factorization.

Linchuan Xu, Jiannong Cao, Xiaokai Wei, Philip S. Yu

IEEE Trans. Knowl. Data Eng., 2020

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

Zhenglong Lu, Jie Li, Xi Zhang, Kaiqiang Feng, Xiaokai Wei, Debiao Zhang, Jing Mi, Yang Liu

Sensors, 2020

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

Jinqiang Li, Jie Li, Li Qin, Wei Liu, Xiaokai Wei, Ning Gao, Yang Liu

Sensors, 2020

ICANE: interaction content-aware network embedding via co-embedding of nodes and edges.

Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu

Int. J. Data Sci. Anal., 2020

Research on Dynamic Test of Hyper-Velocity Impact Penetration Acceleration Signal.

Debiao Zhang, Jie Li, Xiaokai Wei, Kaiqiang Feng, Yu Wang, Jihe Zhao, Dong Xue

IEEE Access, 2020

H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network.

Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

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

Xiaokai Wei, Jie Li, Debiao Zhang, Kaiqiang Feng, Jiayu Zhang, Jinqiang Li, Zhenglong Lu

Sensors, 2019

Multi-task network embedding.

Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu

Int. J. Data Sci. Anal., 2019

Signal Measurement of Projectile Penetration Overload Based on Charge Sensor.

Debiao Zhang, Jie Li, Xiaokai Wei, Kaiqiang Feng, Yu Wang, Jihe Zhao

IEEE Access, 2019

Analysis and Compensation of Installation Errors for Rotating Semi-Strapdown Inertial Navigation System.

Jiayu Zhang, Jie Li, Yugang Huang, Chenjun Hu, Kaiqiang Feng, Xiaokai Wei

IEEE Access, 2019

Meta-path Reduction with Transition Probability Preserving in Heterogeneous Information Network.

Xiaokai Wei, Zhiwei Liu, Lichao Sun, Philip S. Yu

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Unsupervised Meta-path Reduction on Heterogeneous Information Networks.

Xiaokai Wei, Zhiwei Liu, Lichao Sun, Philip S. Yu

CoRR, 2018

On Exploring Semantic Meanings of Links for Embedding Social Networks.

Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu

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.

Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

On Learning Community-specific Similarity Metrics for Cold-start Link Prediction.

Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks.

Lichao Sun, Lifang He, Zhipeng Huang, Bokai Cao, Congying Xia, Xiaokai Wei, Philip S. Yu

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

2017

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

Junxing Zhu, Jiawei Zhang, Quanyuan Wu, Yan Jia, Bin Zhou, Xiaokai Wei, Philip S. Yu

Sensors, 2017

On Learning Mixed Community-specific Similarity Metrics for Cold-start Link Prediction.

Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Embedding Identity and Interest for Social Networks.

Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Cross View Link Prediction by Learning Noise-resilient Representation Consensus.

Xiaokai Wei, Linchuan Xu, Bokai Cao, Philip S. Yu

Proceedings of the 26th International Conference on World Wide Web, 2017

Embedding of Embedding (EOE): Joint Embedding for Coupled Heterogeneous Networks.

Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

t-BNE: Tensor-based Brain Network Embedding.

Bokai Cao, Lifang He, Xiaokai Wei, Mengqi Xing, Philip S. Yu, Heide Klumpp, Alex D. Leow

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Rethinking Unsupervised Feature Selection: From Pseudo Labels to Pseudo Must-Links.

Xiaokai Wei, Sihong Xie, Bokai Cao, Philip S. Yu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Multi-view unsupervised feature selection by cross-diffused matrix alignment.

Xiaokai Wei, Bokai Cao, Philip S. Yu

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Disentangled Link Prediction for Signed Social Networks via Disentangled Representation Learning.

Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Multiple Social Role Embedding.

Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu

Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Unsupervised Feature Selection with Heterogeneous Side Information.

Xiaokai Wei, Bokai Cao, Philip S. Yu

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Contaminant removal for Android malware detection systems.

Lichao Sun, Xiaokai Wei, Jiawei Zhang, Lifang He, Philip S. Yu, Witawas Srisa-an

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Nonlinear Joint Unsupervised Feature Selection.

Xiaokai Wei, Bokai Cao, Philip S. Yu

Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Semi-supervised Tensor Factorization for Brain Network Analysis.

Bokai Cao, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu, Alex D. Leow

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Online Unsupervised Multi-view Feature Selection.

Weixiang Shao, Lifang He, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Community detection with partially observable links and node attributes.

Xiaokai Wei, Bokai Cao, Weixiang Shao, Chun-Ta Lu, Philip S. Yu

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Unsupervised Feature Selection by Preserving Stochastic Neighbors.

Xiaokai Wei, Philip S. Yu

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Unsupervised Feature Selection on Networks: A Generative View.

Xiaokai Wei, Bokai Cao, Philip S. Yu

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Efficient Partial Order Preserving Unsupervised Feature Selection on Networks.

Xiaokai Wei, Sihong Xie, Philip S. Yu

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.

Huayi Li, Zhiyuan Chen, Bing Liu, Xiaokai Wei, Jidong Shao

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014