Spotting Fake Reviews via Collective Positive-Unlabeled Learning. - Huayi Li; Zhiyuan Chen 001; Bing Liu 001; Xiaokai Wei; Jidong Shao (ICDM, 2014)

Efficient Partial Order Preserving Unsupervised Feature Selection on Networks. - Xiaokai Wei; Sihong Xie; Philip S. Yu (SDM, 2015)

Unsupervised Feature Selection on Networks: A Generative View. - Xiaokai Wei; Bokai Cao; Philip S. Yu (AAAI, 2016)

Unsupervised Feature Selection by Preserving Stochastic Neighbors. - Xiaokai Wei; Philip S. Yu (AISTATS, 2016)

Community detection with partially observable links and node attributes. - Xiaokai Wei; Bokai Cao; Weixiang Shao; Chun-Ta Lu; Philip S. Yu (IEEE BigData, 2016)

Online Unsupervised Multi-view Feature Selection. - Weixiang Shao; Lifang He 001; Chun-Ta Lu; Xiaokai Wei; Philip S. Yu (ICDM, 2016)

Semi-supervised Tensor Factorization for Brain Network Analysis. - Bokai Cao; Chun-Ta Lu; Xiaokai Wei; Philip S. Yu; Alex D. Leow (ECML/PKDD (1), 2016)

Nonlinear Joint Unsupervised Feature Selection. - Xiaokai Wei; Bokai Cao; Philip S. Yu (SDM, 2016)

Contaminant removal for Android malware detection systems. - Lichao Sun 001; Xiaokai Wei; Jiawei Zhang 001; Lifang He 001; Philip S. Yu; Witawas Srisa-an (IEEE BigData, 2017)

Unsupervised Feature Selection with Heterogeneous Side Information. - Xiaokai Wei; Bokai Cao; Philip S. Yu (CIKM, 2017)

Multiple Social Role Embedding. - Linchuan Xu; Xiaokai Wei; Jiannong Cao 001; Philip S. Yu (DSAA, 2017)

Disentangled Link Prediction for Signed Social Networks via Disentangled Representation Learning. - Linchuan Xu; Xiaokai Wei; Jiannong Cao 001; Philip S. Yu (DSAA, 2017)

Multi-view unsupervised feature selection by cross-diffused matrix alignment. - Xiaokai Wei; Bokai Cao; Philip S. Yu (IJCNN, 2017)

Rethinking Unsupervised Feature Selection: From Pseudo Labels to Pseudo Must-Links. - Xiaokai Wei; Sihong Xie; Bokai Cao; Philip S. Yu (ECML/PKDD (1), 2017)

t-BNE: Tensor-based Brain Network Embedding. - Bokai Cao; Lifang He 001; Xiaokai Wei; Mengqi Xing; Philip S. Yu; Heide Klumpp; Alex D. Leow (SDM, 2017)

Embedding of Embedding (EOE): Joint Embedding for Coupled Heterogeneous Networks. - Linchuan Xu; Xiaokai Wei; Jiannong Cao 001; Philip S. Yu (WSDM, 2017)

Cross View Link Prediction by Learning Noise-resilient Representation Consensus. - Xiaokai Wei; Linchuan Xu; Bokai Cao; Philip S. Yu (WWW, 2017)

Embedding Identity and Interest for Social Networks. - Linchuan Xu; Xiaokai Wei; Jiannong Cao 001; Philip S. Yu (WWW (Companion Volume), 2017)

On Learning Mixed Community-specific Similarity Metrics for Cold-start Link Prediction. - Linchuan Xu; Xiaokai Wei; Jiannong Cao 001; Philip S. Yu (WWW (Companion Volume), 2017)

Constrained Active Learning for Anchor Link Prediction Across Multiple Heterogeneous Social Networks. - Junxing Zhu; Jiawei Zhang 001; Quanyuan Wu; Yan Jia 001; Bin Zhou 004; Xiaokai Wei; Philip S. Yu (Sensors, 2017)

Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks. - Lichao Sun 001; Lifang He 001; Zhipeng Huang 001; Bokai Cao; Congying Xia; Xiaokai Wei; Philip S. Yu (ICBK, 2018)

On Learning Community-specific Similarity Metrics for Cold-start Link Prediction. - Linchuan Xu; Xiaokai Wei; Jiannong Cao 001; Philip S. Yu (IJCNN, 2018)

Interaction Content Aware Network Embedding via Co-embedding of Nodes and Edges. - Linchuan Xu; Xiaokai Wei; Jiannong Cao 001; Philip S. Yu (PAKDD (2), 2018)

On Exploring Semantic Meanings of Links for Embedding Social Networks. - Linchuan Xu; Xiaokai Wei; Jiannong Cao 001; Philip S. Yu (WWW, 2018)

Unsupervised Meta-path Reduction on Heterogeneous Information Networks. - Xiaokai Wei; Zhiwei Liu 001; Lichao Sun 001; Philip S. Yu (CoRR, 2018)

Meta-path Reduction with Transition Probability Preserving in Heterogeneous Information Network. - Xiaokai Wei; Zhiwei Liu 001; Lichao Sun 001; Philip S. Yu (IEEE BigData, 2019)

Analysis and Compensation of Installation Errors for Rotating Semi-Strapdown Inertial Navigation System. - Jiayu Zhang; Jie Li 036; Yugang Huang; Chenjun Hu; Kaiqiang Feng; Xiaokai Wei (IEEE Access, 2019)

Signal Measurement of Projectile Penetration Overload Based on Charge Sensor. - Debiao Zhang; Jie Li 036; Xiaokai Wei; Kaiqiang Feng; Yu Wang 079; Jihe Zhao (IEEE Access, 2019)

Multi-task network embedding. - Linchuan Xu; Xiaokai Wei; Jiannong Cao 001; Philip S. Yu (Int. J. Data Sci. Anal., 2019)

Optimization of a New High Rotary Missile-Borne Stabilization Platform. - Xiaokai Wei; Jie Li 036; Debiao Zhang; Kaiqiang Feng; Jiayu Zhang; Jinqiang Li; Zhenglong Lu (Sensors, 2019)

H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network. - Shen Wang 005; Xiaokai Wei; Cícero Nogueira dos Santos; Zhiguo Wang; Ramesh Nallapati; Andrew O. Arnold; Bing Xiang; Philip S. Yu (EMNLP (1), 2020)

Research on Dynamic Test of Hyper-Velocity Impact Penetration Acceleration Signal. - Debiao Zhang; Jie Li 036; Xiaokai Wei; Kaiqiang Feng; Yu Wang 079; Jihe Zhao; Dong Xue (IEEE Access, 2020)

ICANE: interaction content-aware network embedding via co-embedding of nodes and edges. - Linchuan Xu; Xiaokai Wei; Jiannong Cao 001; Philip S. Yu (Int. J. Data Sci. Anal., 2020)

Optimal Design and Analysis on High Overload Buffer Structure of Passive Semi-Strapdown Inertial Navigation System. - Jinqiang Li; Jie Li 036; Li Qin; Wei Liu; Xiaokai Wei; Ning Gao; Yang Liu 210 (Sensors, 2020)

A New In-Flight Alignment Method with an Application to the Low-Cost SINS/GPS Integrated Navigation System. - Zhenglong Lu; Jie Li 036; Xi Zhang; Kaiqiang Feng; Xiaokai Wei; Debiao Zhang; Jing Mi; Yang Liu 210 (Sensors, 2020)

Network Embedding via Coupled Kernelized Multi-Dimensional Array Factorization. - Linchuan Xu; Jiannong Cao 001; Xiaokai Wei; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2020)

Knowledge Graph Representation via Hierarchical Hyperbolic Neural Graph Embedding. - Shen Wang 005; Xiaokai Wei; Cícero Nogueira dos Santos; Zhiguo Wang; Ramesh Nallapati; Andrew O. Arnold; Philip S. Yu (IEEE BigData, 2021)

Supporting Clustering with Contrastive Learning. - Dejiao Zhang; Feng Nan; Xiaokai Wei; Shang-Wen Li 001; Henghui Zhu; Kathleen R. McKeown; Ramesh Nallapati; Andrew O. Arnold; Bing Xiang (NAACL-HLT, 2021)

Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion. - Shen Wang 005; Xiaokai Wei; Cícero Nogueira dos Santos; Zhiguo Wang; Ramesh Nallapati; Andrew O. Arnold; Bing Xiang; Philip S. Yu; Isabel F. Cruz (WWW, 2021)

AGMC-Based Robust Cubature Kalman Filter for SINS/GNSS Integrated Navigation System With Unknown Noise Statistics. - Kaiqiang Feng; Jie Li 036; 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 036; Debiao Zhang; Xiaokai Wei; Jianping Yin (IEEE Access, 2021)

Robust Central Difference Kalman Filter With Mixture Correntropy: A Case Study for Integrated Navigation. - Kaiqiang Feng; Jie Li 036; Debiao Zhang; Xiaokai Wei; Jianping Yin (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 036; Kaiqiang Feng; Debiao Zhang; Pengyun Li; Lening Zhao; Yubing Jiao (IEEE Access, 2021)

Research on the Update Method of Attitude Quaternion for Strapdown Inertial Navigation. - Debiao Zhang; Jie Li 036; Yang Liu 210; Xiaokai Wei; Kaiqiang Feng (IEEE Access, 2021)

Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey. - Xiaokai Wei; Shen Wang 005; Dejiao Zhang; Parminder Bhatia; Andrew O. Arnold (CoRR, 2021)

A Low-Cost MEMS Missile-Borne Compound Rotation Modulation Scheme. - Xiaoqiao Yuan; Jie Li 036; Xi Zhang; Kaiqiang Feng; Xiaokai Wei; Debiao Zhang; Jing Mi (Sensors, 2021)

MixSp: A Framework for Embedding Heterogeneous Information Networks With Arbitrary Number of Node and Edge Types. - Linchuan Xu; Jing Wang 023; Lifang He 001; Jiannong Cao 001; Xiaokai Wei; Philip S. Yu; Kenji Yamanishi (IEEE Trans. Knowl. Data Eng., 2021)

Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora. - Xisen Jin; Dejiao Zhang; Henghui Zhu; Wei Xiao 001; Shang-Wen Li 001; Xiaokai Wei; Andrew O. Arnold; Xiang Ren 001 (NAACL-HLT, 2022)

Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner. - Danilo Neves Ribeiro; Shen Wang 005; Xiaofei Ma 001; Rui Dong; Xiaokai Wei; Henghui Zhu; Xinchi Chen; Peng Xu; Zhiheng Huang; Andrew O. Arnold; Dan Roth 001 (NAACL-HLT (Findings), 2022)

Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner. - Danilo Neves Ribeiro; Shen Wang 005; Xiaofei Ma 001; Rui Dong; Xiaokai Wei; Henry Zhu; Xinchi Chen; Zhiheng Huang; Peng Xu; Andrew O. Arnold; Dan Roth 001 (CoRR, 2022)

Debiasing Neural Retrieval via In-batch Balancing Regularization. - Yuantong Li; Xiaokai Wei; Zijian Wang 002; Shen Wang 005; Parminder Bhatia; Xiaofei Ma 001; Andrew O. Arnold (CoRR, 2022)

An Improved In-flight Alignment Method Based on Backtracking Navigation for GPS-aided Low Cost SINS With Short Endurance. - Xiaokai Wei; Jie Li 036; Kaiqiang Feng; Debiao Zhang (IEEE Robotics Autom. Lett., 2022)

An Anti-Turbulence Self-Alignment Method for SINS under Unknown Latitude Conditions. - Yubing Jiao; Jie Li 036; Xihong Ma; Kaiqiang Feng; Xiaoting Guo; Xiaokai Wei; Yujun Feng; Chenming Zhang; Jingqi Wang (Sensors, 2022)

Improved Multiple-Model Adaptive Estimation Method for Integrated Navigation with Time-Varying Noise. - Jinhao Song; Jie Li 036; Xiaokai Wei; Chenjun Hu; Zeyu Zhang; Lening Zhao; Yubing Jiao (Sensors, 2022)

Optimal Rotational Angular Velocity Determination Method Based on Compound Rotary Semi-Strapdown Inertial Navigation System. - Chenming Zhang; Jie Li 036; Xiaoqiao Yuan; Xi Zhang; Xiaokai Wei; Kaiqiang Feng; Chenjun Hu; Debiao Zhang; Yubing Jiao (Sensors, 2022)

TRANSGNN: Towards Knowledge Enhanced Top-K Recommendation via Transformed Heterogeneous Graph Neural Network. - Shen Wang 005; Ziwei Fan 001; Jibing Gong; Xiaokai Wei; Philip S. Yu (IEEE Big Data, 2023)

IGCN: Item Influence Enhanced Graph Convolution Networks for Recommendation of Cold-Start Items. - Shen Wang 005; Ziwei Fan 001; Jibing Gong; Xiaokai Wei; Philip S. Yu (ICDM (Workshops), 2023)

Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study. - Xiaokai Wei; Sujan Kumar Gonugondla; Shiqi Wang 002; Wasi Uddin Ahmad; Baishakhi Ray; Haifeng Qian; Xiaopeng Li 002; Varun Kumar; Zijian Wang 002; Yuchen Tian; Qing Sun; Ben Athiwaratkun; et al. (ESEC/SIGSOFT FSE, 2023)

Greener yet Powerful: Taming Large Code Generation Models with Quantization. - Xiaokai Wei; Sujan K. Gonugondla; Wasi Uddin Ahmad; Shiqi Wang 002; Baishakhi Ray; Haifeng Qian; Xiaopeng Li 002; Varun Kumar; Zijian Wang 002; Yuchen Tian; Qing Sun; Ben Athiwaratkun; et al. (CoRR, 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 036; Ding Han; Junlin Wang; Ying Zhan; Xin Wang; Kaiqiang Feng (Remote. Sens., 2023)

OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation. - Se-eun Yoon; Xiaokai Wei; Yexi Jiang; Rachit Pareek; Frank Ong; Kevin Gao; Julian J. McAuley; Michelle Gong (CoRR, 2024)

Privacy preserving task offloading and resource allocation for satellite terrestrial integrated edge computing networks based on differentially private federated learning. - Zeyi Hong; Xiaokai Wei; Ying Zhan; Yang Liu 063; Tianshuang Qiu (Comput. Networks, 2025)

Shearer SINS Self-Alignment Method Based on Gravitational Acceleration Spatial Mapping Model Without Latitude. - Yujun Feng; Jie Li 036; Kaiqiang Feng; Xiaokai Wei (IEEE Trans. Instrum. Meas., 2025)

Solving the Content Gap in Roblox Game Recommendations: LLM-Based Profile Generation and Reranking. - Chen Wang; Xiaokai Wei; Yexi Jiang; Frank Ong; Kevin Gao; Xiao Yu; Zheng Hui; Se-eun Yoon; Philip Yu; Michelle Gong (CoRR, 2025)

MATCHA: Can Multi-Agent Collaboration Build a Trustworthy Conversational Recommender? - Zheng Hui; Xiaokai Wei; Yexi Jiang; Kevin Gao; Chen Wang; Frank Ong; Se-eun Yoon; Rachit Pareek; Michelle Gong (CoRR, 2025)