9 citations · 24 across the 10 of their papers we have counts for
10 papers
Provably Learning Diffusion Models under the Manifold Hypothesis: Collapse and Refine
Wei Huang, Andi Han, Mingyuan Bai +4
Diffusion models generate high-dimensional data with remarkable quality, yet how their training efficiently learns the score function, bypassing the curse of dimensionality when da…
Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks
Andong Wang, Chao Li, Mingyuan Bai +3
Achieving efficient and robust multi-channel data learning is a challenging task in data science. By exploiting low-rankness in the transformed domain, i.e., transformed low-rankne…
SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP
Jie Chen, Shouzhen Chen, Mingyuan Bai +3
The message-passing mechanism helps Graph Neural Networks (GNNs) achieve remarkable results on various node classification tasks. Nevertheless, the recursive nodes fetching and agg…
Neural Ordinary Differential Equation Model for Evolutionary Subspace Clustering and Its Applications
Mingyuan Bai, S. T. Boris Choy, Junping Zhang +1
The neural ordinary differential equation (neural ODE) model has attracted increasing attention in time series analysis for its capability to process irregular time steps, i.e., da…
Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification
Jie Chen, Shouzhen Chen, Mingyuan Bai +3
Graph neural networks (GNN) have been ubiquitous in graph node classification tasks. Most of GNN methods update the node embedding iteratively by aggregating its neighbors' informa…
Improving Reverse k Nearest Neighbors Queries
Lixin Ye
The reverse nearest neighbor query finds all points that have the query point as one of their nearest neighbors, where the NN query finds the closest points to its q…
Efficient Spatial Nearest Neighbor Queries Based on Multi-layer Voronoi Diagrams
Yang Li, Gang Liu, Junbin Gao +3
Nearest neighbor (NN) problem is an important scientific problem. The NN query, to find the closest one to a given query point among a set of points, is widely used in applications…
LSTM-Assisted Evolutionary Self-Expressive Subspace Clustering
Di Xu, Tianhang Long, Junbin Gao
Massive volumes of high-dimensional data that evolves over time is continuously collected by contemporary information processing systems, which brings up the problem of organizing…
Tensor-Train Parameterization for Ultra Dimensionality Reduction
Mingyuan Bai, S. T. Boris Choy, Xin Song +1
Locality preserving projections (LPP) are a classical dimensionality reduction method based on data graph information. However, LPP is still responsive to extreme outliers. LPP aim…
Tensorial Recurrent Neural Networks for Longitudinal Data Analysis
Mingyuan Bai, Boyan Zhang, Junbin Gao
Traditional Recurrent Neural Networks assume vectorized data as inputs. However many data from modern science and technology come in certain structures such as tensorial time serie…