Tensorial Neural Networks and Its Application in Longitudinal Network Data Analysis. - Mingyuan Bai; Boyan Zhang; Junbin Gao (ICONIP (2), 2017)

Tensorial Recurrent Neural Networks for Longitudinal Data Analysis. - Mingyuan Bai; Boyan Zhang; Junbin Gao (CoRR, 2017)

Tensor-Train Parameterization for Ultra Dimensionality Reduction. - Mingyuan Bai; S. T. Boris Choy; Xin Song; Junbin Gao (ICBK, 2019)

Efficient Spatial Nearest Neighbor Queries Based on Multi-layer Voronoi Diagrams. - Yang Li 090; Gang Liu 003; Junbin Gao; Zhenwen He; Mingyuan Bai; Chengjun Li (CoRR, 2019)

CSD: Discriminance with Conic Section for Improving Reverse k Nearest Neighbors Queries. - Yang Li 090; Gang Liu 003; Mingyuan Bai; Junbin Gao; Lixin Ye; Zi Ming (CoRR, 2020)

Tensorial Time Series Prediction via Tensor Neural Ordinary Differential Equations. - Mingyuan Bai; Qibin Zhao; Junbin Gao (IJCNN, 2021)

Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification. - Jie Chen; Shouzhen Chen; Mingyuan Bai; Jian Pu; Junping Zhang; Junbin Gao (CoRR, 2021)

Neural Ordinary Differential Equation Model for Evolutionary Subspace Clustering and Its Applications. - Mingyuan Bai; S. T. Boris Choy; Junping Zhang; Junbin Gao (CoRR, 2021)

LSTM-assisted evolutionary self-expressive subspace clustering. - Di Xu; Mingyuan Bai; Tianhang Long; Junbin Gao (Int. J. Mach. Learn. Cybern., 2021)

Tensor Neural Controlled Differential Equations. - Mingyuan Bai; Jie Chen; Qibin Zhao; Chao Li 013; Junping Zhang; Junbin Gao (IJCNN, 2022)

Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks. - Andong Wang; Chao Li 013; Mingyuan Bai; Zhong Jin; Guoxu Zhou; Qibin Zhao (NeurIPS, 2023)

CSD-RkNN: reverse k nearest neighbors queries with conic section discriminances. - Yang Li 090; Mingyuan Bai; Qingfeng Guan 001; Zi Ming; Xun Liang 002; Gang Liu 003; Junbin Gao (Int. J. Geogr. Inf. Sci., 2023)

Differential evolution with alternation between steady monopoly and transient competition of mutation strategies. - Chenxi Ye; Chengjun Li; Yang Li 090; Yufei Sun; Wenxuan Yang; Mingyuan Bai; Xuanyu Zhu; Jinghan Hu; Tingzi Chi; Hongbo Zhu; Luqi He (Swarm Evol. Comput., 2023)

Graph Decoupling Attention Markov Networks for Semisupervised Graph Node Classification. - Jie Chen; Shouzhen Chen; Mingyuan Bai; Jian Pu; Junping Zhang; Junbin Gao (IEEE Trans. Neural Networks Learn. Syst., 2023)

Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance. - Mingyuan Bai; Wei Huang; Tenghui Li; Andong Wang; Junbin Gao; Cesar F. Caiafa; Qibin Zhao (ICML, 2024)

Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts. - Andong Wang; Yuning Qiu; Mingyuan Bai; Zhong Jin; Guoxu Zhou; Qibin Zhao (NeurIPS, 2024)

SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP. - Jie Chen; Mingyuan Bai; Shouzhen Chen; Junbin Gao; Junping Zhang; Jian Pu (Trans. Mach. Learn. Res., 2024)

TendiffPure: a convolutional tensor-train denoising diffusion model for purification. - Mingyuan Bai; Derun Zhou; Qibin Zhao (Frontiers Inf. Technol. Electron. Eng., 2024)