Publications
Publications
Bo Li, Zhonghao Sheng, Wei Ye, Jinglei Zhang, Kai Liu, Shikun Zhang. Sliding Hierarchical Recurrent Neural Networks for Sequence Classification. International Joint Conference on Neural Networks, IJCNN 2020
Zhiyuan Liu, Huazheng Wang, Fan Shen, Kai Liu, Lijun Chen. Incentivized Exploration for Multi-Armed Bandits under Reward Drift. 34th AAAI Conference on Artificial Intelligence, AAAI 2020 (Acceptance Rate = 20%)
Kai Liu. A Study of Non-negative Matrix Factorizations: Foundations, Methods, Algorithms, and Applications. PhD. thesis.
Kai Liu, Lou Brand, Hua Wang, Philip Nie. Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances. International Joint Conference on Artificial Intelligence, IJCAI 2019 (Acceptance Rate = 18%)
Haoxuan Yang*, Kai Liu*, Hua Wang, Philip Nie. Learning Strictly Orthogonal p-Order Nonnegative Laplacian Embedding via Smoothed Iterative Reweighted Method. International Joint Conference on Artificial Intelligence, IJCAI 2019 (Acceptance Rate = 18%)
Kai Liu*, Qiuwei Li*, Hua Wang, Gongguo Tang. Spherical Principal Component Analysis. SIAM International Conference on Data Mining, SDM 2019 (Acceptance Rate = 22%)
Kai Liu, Mattew Miller, Hua Wang. Heterogeneous Imaging Genetics Data Classification via Strictly Orthogonal Nonnegative Matrix Tri-Factorization for Early Detecting Alzheimer's Disease. 23rd Annual International Conference on Research in Computational Molecular Biology, RECOMB 2019 (Poster)
Lodewijk Brand, Xue Yang, Kai Liu, Saad Elbeleidy, Hua Wang, Hao Zhang. Learning Robust Multi-Label Sample Specific Distances for Identifying HIV-1 Drug Resistance. 23rd Annual International Conference on Research in Computational Molecular Biology, RECOMB 2019 (Acceptance Rate < 20%)
Kai Liu, Hua Wang, Fei Han, Hao Zhang. Visual Place Recognition via Robust L2-Norm Distance Based Holism and Landmark Integration. 33rd AAAI Conference on Artificial Intelligence, AAAI 2019 (Acceptance Rate = 16%)
Zhihui Zhu, Xiao Li, Kai Liu, Qiuwei Li. Dropping Symmetry for Fast Symmetric Nonnegative Matrix Factorization. 32nd annual conference on Neural Information Processing Systems, NIPS 2018 (Acceptance Rate = 20%)
Kai Liu, Hua Wang. High-Order Co-Clustering via Strictly Orthogonal and Symmetric L1-norm Nonnegative Matrix Tri-Factorization. 27th International Joint Conference on Artificial Intelligence, IJCAI 2018 (Acceptance Rate = 20%)
Kai Liu, Hua Wang, Feiping Nie, Hao Zhang. Learning Multi-Instance Enriched Image Representations via Non-Greedy Ratio Maximization of the L1-norm Distances. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018 (Acceptance Rate = 29%)
Kai Liu, Hua Wang, Shannon Risacher, Andrew Saykin, Li Shen, for the ADNI. Multiple Incomplete Views Clustering via Non-Negative Matrix Factorization with Its Application in Alzheimer's Disease Analysis. 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)
Kai Liu, Hua Wang. Robust Multi-Relational Clustering via L1-norm Symmetric Non-negative Matrix Factorization. 53rd Annual Meeting of the Association for Computational Linguistics, ACL 2015 (Acceptance Rate = 22%)