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Journal Articles
- 2023
[j22]Xiaokai Wei, Jie Li, Ding Han, Junlin Wang
, Ying Zhan, Xin Wang, Kaiqiang Feng:
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. 15(3): 711 (2023)- 2022
- [j21]Xiaokai Wei, Jie Li, Kaiqiang Feng, Debiao Zhang:
An Improved In-flight Alignment Method Based on Backtracking Navigation for GPS-aided Low Cost SINS With Short Endurance. IEEE Robotics Autom. Lett. 7(1): 634-641 (2022) - [j20]Chenming Zhang, Jie Li, Xiaoqiao Yuan, Xi Zhang, Xiaokai Wei, Kaiqiang Feng, Chenjun Hu, Debiao Zhang, Yubing Jiao:
Optimal Rotational Angular Velocity Determination Method Based on Compound Rotary Semi-Strapdown Inertial Navigation System. Sensors 22(12): 4583 (2022) - [j19]Yubing Jiao, Jie Li, Xihong Ma, Kaiqiang Feng, Xiaoting Guo, Xiaokai Wei, Yujun Feng, Chenming Zhang, Jingqi Wang:
An Anti-Turbulence Self-Alignment Method for SINS under Unknown Latitude Conditions. Sensors 22(13): 4686 (2022) - [j18]Jinhao Song, Jie Li, Xiaokai Wei, Chenjun Hu, Zeyu Zhang, Lening Zhao, Yubing Jiao:
Improved Multiple-Model Adaptive Estimation Method for Integrated Navigation with Time-Varying Noise. Sensors 22(16): 5976 (2022) - 2021
- [j17]Kaiqiang Feng, Jie Li, Debiao Zhang, Xiaokai Wei, Jianping Yin:
AGMC-Based Robust Cubature Kalman Filter for SINS/GNSS Integrated Navigation System With Unknown Noise Statistics. IEEE Access 9: 1693-1706 (2021) - [j16]Kaiqiang Feng, Jie Li, Debiao Zhang, Xiaokai Wei, Jianping Yin:
Robust Cubature Kalman Filter for SINS/GPS Integrated Navigation Systems With Unknown Noise Statistics. IEEE Access 9: 9101-9116 (2021) - [j15]Debiao Zhang, Jie Li, Yang Liu, Xiaokai Wei, Kaiqiang Feng:
Research on the Update Method of Attitude Quaternion for Strapdown Inertial Navigation. IEEE Access 9: 26221-26233 (2021) - [j14]Xiaokai Wei, Jie Li, Kaiqiang Feng, Debiao Zhang, Pengyun Li, Lening Zhao, Yubing Jiao:
A Mixed Optimization Method Based on Adaptive Kalman Filter and Wavelet Neural Network for INS/GPS During GPS Outages. IEEE Access 9: 47875-47886 (2021) - [j13]Kaiqiang Feng, Jie Li, Debiao Zhang, Xiaokai Wei, Jianping Yin:
Robust Central Difference Kalman Filter With Mixture Correntropy: A Case Study for Integrated Navigation. IEEE Access 9: 80772-80786 (2021) - [j12]Xiaoqiao Yuan, Jie Li, Xi Zhang, Kaiqiang Feng, Xiaokai Wei, Debiao Zhang, Jing Mi:
A Low-Cost MEMS Missile-Borne Compound Rotation Modulation Scheme. Sensors 21(14): 4910 (2021) - [j11]Linchuan Xu, Jing Wang, Lifang He, Jiannong Cao, Xiaokai Wei, Philip S. Yu, Kenji Yamanishi:
MixSp: A Framework for Embedding Heterogeneous Information Networks With Arbitrary Number of Node and Edge Types. IEEE Trans. Knowl. Data Eng. 33(6): 2627-2639 (2021) - 2020
- [j10]Debiao Zhang, Jie Li, Xiaokai Wei, Kaiqiang Feng, Yu Wang, Jihe Zhao, Dong Xue:
Research on Dynamic Test of Hyper-Velocity Impact Penetration Acceleration Signal. IEEE Access 8: 194879-194893 (2020) - [j9]Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu:
ICANE: interaction content-aware network embedding via co-embedding of nodes and edges. Int. J. Data Sci. Anal. 9(4): 401-414 (2020) - [j8]Zhenglong Lu, Jie Li, Xi Zhang, Kaiqiang Feng, Xiaokai Wei, Debiao Zhang, Jing Mi, Yang Liu:
A New In-Flight Alignment Method with an Application to the Low-Cost SINS/GPS Integrated Navigation System. Sensors 20(2): 512 (2020) - [j7]Jinqiang Li, Jie Li, Li Qin, Wei Liu, Xiaokai Wei, Ning Gao, Yang Liu:
Optimal Design and Analysis on High Overload Buffer Structure of Passive Semi-Strapdown Inertial Navigation System. Sensors 20(4): 1131 (2020) - [j6]Linchuan Xu, Jiannong Cao, Xiaokai Wei, Philip S. Yu:
Network Embedding via Coupled Kernelized Multi-Dimensional Array Factorization. IEEE Trans. Knowl. Data Eng. 32(12): 2414-2425 (2020) - 2019
- [j5]Jiayu Zhang, Jie Li, Yugang Huang, Chenjun Hu, Kaiqiang Feng, Xiaokai Wei:
Analysis and Compensation of Installation Errors for Rotating Semi-Strapdown Inertial Navigation System. IEEE Access 7: 101019-101030 (2019) - [j4]Debiao Zhang, Jie Li, Xiaokai Wei, Kaiqiang Feng, Yu Wang, Jihe Zhao:
Signal Measurement of Projectile Penetration Overload Based on Charge Sensor. IEEE Access 7: 178139-178152 (2019) - [j3]Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu:
Multi-task network embedding. Int. J. Data Sci. Anal. 8(2): 183-198 (2019) - [j2]Xiaokai Wei, Jie Li, Debiao Zhang, Kaiqiang Feng, Jiayu Zhang, Jinqiang Li, Zhenglong Lu:
Optimization of a New High Rotary Missile-Borne Stabilization Platform. Sensors 19(19): 4143 (2019) - 2017
- [j1]Junxing Zhu, Jiawei Zhang, Quanyuan Wu, Yan Jia, Bin Zhou, Xiaokai Wei, Philip S. Yu:
Constrained Active Learning for Anchor Link Prediction Across Multiple Heterogeneous Social Networks. Sensors 17(8): 1786 (2017)
Conference and Workshop Papers
- 2023
- [c34]Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu:
TRANSGNN: Towards Knowledge Enhanced Top-K Recommendation via Transformed Heterogeneous Graph Neural Network. IEEE Big Data 2023: 304-314 - [c33]Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu:
IGCN: Item Influence Enhanced Graph Convolution Networks for Recommendation of Cold-Start Items. ICDM (Workshops) 2023: 1516-1525 - [c32]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:
Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study. ESEC/SIGSOFT FSE 2023: 224-236 - 2022
- [c31]Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Rui Dong, Xiaokai Wei, Henghui Zhu, Xinchi Chen, Peng Xu, Zhiheng Huang, Andrew O. Arnold, Dan Roth:
Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner. NAACL-HLT (Findings) 2022: 465-475 - [c30]Xisen Jin, Dejiao Zhang, Henghui Zhu, Wei Xiao, Shang-Wen Li, Xiaokai Wei, Andrew O. Arnold, Xiang Ren:
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora. NAACL-HLT 2022: 4764-4780 - 2021
- [c29]Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Philip S. Yu:
Knowledge Graph Representation via Hierarchical Hyperbolic Neural Graph Embedding. IEEE BigData 2021: 540-549 - [c28]Dejiao Zhang, Feng Nan, Xiaokai Wei, Shang-Wen Li, Henghui Zhu, Kathleen R. McKeown, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang:
Supporting Clustering with Contrastive Learning. NAACL-HLT 2021: 5419-5430 - [c27]Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu, Isabel F. Cruz:
Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion. WWW 2021: 1761-1771 - 2020
- [c26]Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu:
H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network. EMNLP (1) 2020: 4952-4962 - 2019
- [c25]Xiaokai Wei, Zhiwei Liu, Lichao Sun, Philip S. Yu:
Meta-path Reduction with Transition Probability Preserving in Heterogeneous Information Network. IEEE BigData 2019: 1245-1250 - 2018
- [c24]Lichao Sun, Lifang He, Zhipeng Huang, Bokai Cao, Congying Xia, Xiaokai Wei, Philip S. Yu:
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks. ICBK 2018: 131-138 - [c23]Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu:
On Learning Community-specific Similarity Metrics for Cold-start Link Prediction. IJCNN 2018: 1-8 - [c22]Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu:
Interaction Content Aware Network Embedding via Co-embedding of Nodes and Edges. PAKDD (2) 2018: 183-195 - [c21]Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu:
On Exploring Semantic Meanings of Links for Embedding Social Networks. WWW 2018: 479-488 - 2017
- [c20]Lichao Sun, Xiaokai Wei, Jiawei Zhang, Lifang He, Philip S. Yu, Witawas Srisa-an:
Contaminant removal for Android malware detection systems. IEEE BigData 2017: 1053-1062 - [c19]Xiaokai Wei, Bokai Cao, Philip S. Yu:
Unsupervised Feature Selection with Heterogeneous Side Information. CIKM 2017: 2359-2362 - [c18]Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu:
Multi-task Network Embedding. DSAA 2017: 571-580 - [c17]Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu:
Multiple Social Role Embedding. DSAA 2017: 581-589 - [c16]Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu:
Disentangled Link Prediction for Signed Social Networks via Disentangled Representation Learning. DSAA 2017: 676-685 - [c15]Xiaokai Wei, Bokai Cao, Philip S. Yu:
Multi-view unsupervised feature selection by cross-diffused matrix alignment. IJCNN 2017: 494-501 - [c14]Xiaokai Wei, Sihong Xie, Bokai Cao, Philip S. Yu:
Rethinking Unsupervised Feature Selection: From Pseudo Labels to Pseudo Must-Links. ECML/PKDD (1) 2017: 272-287 - [c13]Bokai Cao, Lifang He, Xiaokai Wei, Mengqi Xing, Philip S. Yu, Heide Klumpp, Alex D. Leow:
t-BNE: Tensor-based Brain Network Embedding. SDM 2017: 189-197 - [c12]Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu:
Embedding of Embedding (EOE): Joint Embedding for Coupled Heterogeneous Networks. WSDM 2017: 741-749 - [c11]Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu:
Embedding Identity and Interest for Social Networks. WWW (Companion Volume) 2017: 859-860 - [c10]Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu:
On Learning Mixed Community-specific Similarity Metrics for Cold-start Link Prediction. WWW (Companion Volume) 2017: 861-862 - [c9]Xiaokai Wei, Linchuan Xu, Bokai Cao, Philip S. Yu:
Cross View Link Prediction by Learning Noise-resilient Representation Consensus. WWW 2017: 1611-1619 - 2016
- [c8]Xiaokai Wei, Bokai Cao, Philip S. Yu:
Unsupervised Feature Selection on Networks: A Generative View. AAAI 2016: 2215-2221 - [c7]Xiaokai Wei, Philip S. Yu:
Unsupervised Feature Selection by Preserving Stochastic Neighbors. AISTATS 2016: 995-1003 - [c6]Xiaokai Wei, Bokai Cao, Weixiang Shao, Chun-Ta Lu, Philip S. Yu:
Community detection with partially observable links and node attributes. IEEE BigData 2016: 773-782 - [c5]Weixiang Shao, Lifang He, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu:
Online Unsupervised Multi-view Feature Selection. ICDM 2016: 1203-1208 - [c4]Bokai Cao, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu, Alex D. Leow:
Semi-supervised Tensor Factorization for Brain Network Analysis. ECML/PKDD (1) 2016: 17-32 - [c3]Xiaokai Wei, Bokai Cao, Philip S. Yu:
Nonlinear Joint Unsupervised Feature Selection. SDM 2016: 414-422 - 2015
- [c2]Xiaokai Wei, Sihong Xie, Philip S. Yu:
Efficient Partial Order Preserving Unsupervised Feature Selection on Networks. SDM 2015: 82-90 - 2014
- [c1]Huayi Li, Zhiyuan Chen, Bing Liu, Xiaokai Wei, Jidong Shao:
Spotting Fake Reviews via Collective Positive-Unlabeled Learning. ICDM 2014: 899-904
Informal and Other Publications
- 2023
- [i11]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:
Greener yet Powerful: Taming Large Code Generation Models with Quantization. CoRR abs/2303.05378 (2023) - 2022
- [i10]Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Rui Dong, Xiaokai Wei, Henry Zhu, Xinchi Chen, Zhiheng Huang, Peng Xu, Andrew O. Arnold, Dan Roth:
Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner. CoRR abs/2205.09224 (2022) - [i9]Yuantong Li, Xiaokai Wei, Zijian Wang, Shen Wang, Parminder Bhatia, Xiaofei Ma, Andrew O. Arnold:
Debiasing Neural Retrieval via In-batch Balancing Regularization. CoRR abs/2205.09240 (2022) - 2021
- [i8]Dejiao Zhang, Feng Nan, Xiaokai Wei, Shang-Wen Li, Henghui Zhu, Kathleen R. McKeown, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang:
Supporting Clustering with Contrastive Learning. CoRR abs/2103.12953 (2021) - [i7]Xiaokai Wei, Shen Wang, Dejiao Zhang, Parminder Bhatia, Andrew O. Arnold:
Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey. CoRR abs/2110.08455 (2021) - [i6]Xisen Jin, Dejiao Zhang, Henghui Zhu, Wei Xiao, Shang-Wen Li, Xiaokai Wei, Andrew O. Arnold, Xiang Ren:
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora. CoRR abs/2110.08534 (2021) - 2018
- [i5]Lichao Sun, Lifang He, Zhipeng Huang, Bokai Cao, Congying Xia, Xiaokai Wei, Philip S. Yu:
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks. CoRR abs/1809.04110 (2018) - [i4]Xiaokai Wei, Zhiwei Liu, Lichao Sun, Philip S. Yu:
Unsupervised Meta-path Reduction on Heterogeneous Information Networks. CoRR abs/1810.12503 (2018) - 2017
- [i3]Xiaokai Wei, Bokai Cao, Philip S. Yu:
Multi-view Unsupervised Feature Selection by Cross-diffused Matrix Alignment. CoRR abs/1705.00825 (2017) - [i2]Lichao Sun, Xiaokai Wei, Jiawei Zhang, Lifang He, Philip S. Yu, Witawas Srisa-an:
Contaminant Removal for Android Malware Detection Systems. CoRR abs/1711.02715 (2017) - 2016
- [i1]Weixiang Shao, Lifang He, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu:
Online Unsupervised Multi-view Feature Selection. CoRR abs/1609.08286 (2016)
Coauthor Index
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