| 2026 | EACL | Toward Safe and Human-Aligned Game Conversational Recommendation via Multi-Agent Decomposition. | Zheng Hui, Xiaokai Wei, Yexi Jiang, Kevin Gao, Chen Wang, Se-eun Yoon, Rachit Pareek, Michelle Gong |
| 2023 | ICDM | IGCN: Item Influence Enhanced Graph Convolution Networks for Recommendation of Cold-Start Items. | Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu |
| 2022 | NAACL | 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 |
| 2022 | NAACL | 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 |
| 2021 | NAACL | 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 |
| 2021 | WWW | Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion. | Shen Wang, Xiaokai Wei, Ccero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu, Isabel F. Cruz |
| 2020 | EMNLP | H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network. | Shen Wang, Xiaokai Wei, Ccero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu |
| 2018 | IJCNN | On Learning Community-specific Similarity Metrics for Cold-start Link Prediction. | Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu |
| 2018 | PAKDD | Interaction Content Aware Network Embedding via Co-embedding of Nodes and Edges. | Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu |
| 2018 | WWW | On Exploring Semantic Meanings of Links for Embedding Social Networks. | Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu |
| 2017 | CIKM | Unsupervised Feature Selection with Heterogeneous Side Information. | Xiaokai Wei, Bokai Cao, Philip S. Yu |
| 2017 | DSAA | Multi-task Network Embedding. | Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu |
| 2017 | DSAA | Multiple Social Role Embedding. | Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu |
| 2017 | DSAA | Disentangled Link Prediction for Signed Social Networks via Disentangled Representation Learning. | Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu |
| 2017 | IJCNN | Multi-view unsupervised feature selection by cross-diffused matrix alignment. | Xiaokai Wei, Bokai Cao, Philip S. Yu |
| 2017 | WWW | Cross View Link Prediction by Learning Noise-resilient Representation Consensus. | Xiaokai Wei, Linchuan Xu, Bokai Cao, Philip S. Yu |
| 2017 | WWW | Embedding Identity and Interest for Social Networks. | Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu |
| 2017 | WWW | On Learning Mixed Community-specific Similarity Metrics for Cold-start Link Prediction. | Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu |
| 2017 | WSDM | Embedding of Embedding (EOE): Joint Embedding for Coupled Heterogeneous Networks. | Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu |
| 2017 | SDM | t-BNE: Tensor-based Brain Network Embedding. | Bokai Cao, Lifang He, Xiaokai Wei, Mengqi Xing, Philip S. Yu, Heide Klumpp, Alex D. Leow |
| 2016 | AAAI | Unsupervised Feature Selection on Networks: A Generative View. | Xiaokai Wei, Bokai Cao, Philip S. Yu |
| 2016 | AISTATS | Unsupervised Feature Selection by Preserving Stochastic Neighbors. | Xiaokai Wei, Philip S. Yu |
| 2016 | ICDM | Online Unsupervised Multi-view Feature Selection. | Weixiang Shao, Lifang He, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu |
| 2016 | SDM | Nonlinear Joint Unsupervised Feature Selection. | Xiaokai Wei, Bokai Cao, Philip S. Yu |
| 2015 | SDM | Efficient Partial Order Preserving Unsupervised Feature Selection on Networks. | Xiaokai Wei, Sihong Xie, Philip S. Yu |
| 2014 | ICDM | Spotting Fake Reviews via Collective Positive-Unlabeled Learning. | Huayi Li, Zhiyuan Chen, Bing Liu, Xiaokai Wei, Jidong Shao |