Collective Traffic Prediction with Partially Observed Traffic History using Location-Based Social Media. - Xinyue Liu 003; Xiangnan Kong; Yanhua Li (CIKM, 2016)

Kernelized Matrix Factorization for Collaborative Filtering. - Xinyue Liu 003; Charu C. Aggarwal; Yufeng Li 008; Xiangnan Kong; Xinyuan Sun; Saket Sathe 001 (SDM, 2016)

BiCycle: Item Recommendation with Life Cycles. - Xinyue Liu 003; Yuanfang Song; Charu C. Aggarwal; Yao Zhang 009; Xiangnan Kong (ICDM, 2017)

Kernel-Based Feature Extraction for Collaborative Filtering. - Saket Sathe 001; Charu C. Aggarwal; Xiangnan Kong; Xinyue Liu 003 (ICDM, 2017)

Collective discovery of brain networks with unknown groups. - Xinyue Liu 003; Xiangnan Kong; Philip S. Yu (IJCNN, 2017)

Unified and Contrasting Graphical Lasso for Brain Network Discovery. - Xinyue Liu 003; Xiangnan Kong; Ann B. Ragin (SDM, 2017)

Meta-Path Graphical Lasso for Learning Heterogeneous Connectivities. - Yao Zhang 009; Yun Xiong; Xinyue Liu 003; Xiangnan Kong; Yangyong Zhu (SDM, 2017)

TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial Networks. - Xinyue Liu 003; Xiangnan Kong; Lei Liu; Kuorong Chiang (ICDM, 2018)

Coherent Graphical Lasso for Brain Network Discovery. - Hang Yin; Xiangnan Kong; Xinyue Liu 003 (ICDM, 2018)

Active Opinion Maximization in Social Networks. - Xinyue Liu 003; Xiangnan Kong; Philip S. Yu (KDD, 2018)

Competitive opinion maximization in social networks. - Jianjun Luo; Xinyue Liu 003; Xiangnan Kong (ASONAM, 2019)

Signed Distance-based Deep Memory Recommender. - Thanh Tran 005; Xinyue Liu 003; Kyumin Lee; Xiangnan Kong (WWW, 2019)

Multi-task Attributed Graphical Lasso. - Yao Zhang 009; Yun Xiong; Xiangnan Kong; Xinyue Liu 003; Yangyong Zhu (APWeb/WAIM (1), 2020)

Gaussian Mixture Graphical Lasso with Application to Edge Detection in Brain Networks. - Hang Yin; Xinyue Liu 003; Xiangnan Kong (IEEE BigData, 2020)

Code2Text: Dual Attention Syntax Annotation Networks for Structure-Aware Code Translation. - Yun Xiong; Shaofeng Xu; Keyao Rong; Xinyue Liu 003; Xiangnan Kong; Shanshan Li 001; Philip S. Yu; Yangyong Zhu (DASFAA (3), 2020)

Recurrent Networks for Guided Multi-Attention Classification. - Xin Dai; Xiangnan Kong; Tian Guo 001; John Boaz Lee; Xinyue Liu 003; Constance M. Moore (KDD, 2020)

Dual-Attention Recurrent Networks for Affine Registration of Neuroimaging Data. - Xin Dai; Xiangnan Kong; Xinyue Liu 003; John Boaz Lee; Constance M. Moore (SDM, 2020)

Multi-task attributed graphical lasso and its application in fund classification. - Yao Zhang 009; Sijia Peng; Yun Xiong; Xiangnan Kong; Xinyue Liu 003; Yangyong Zhu (World Wide Web, 2022)

Multi-State Brain Network Discovery. - Hang Yin; Yao Su 003; Xinyue Liu 003; Thomas Hartvigsen; Yanhua Li; Xiangnan Kong (IEEE Big Data, 2023)