19 citations · 30 across the 10 of their papers we have counts for
10 papers
Simplicial Message Passing for Chemical Property Prediction
Hai Lan, Xian Wei
Recently, message-passing Neural networks (MPNN) provide a promising tool for dealing with molecular graphs and have achieved remarkable success in facilitating the discovery and m…
Hyperbolic Graph Diffusion Model
Lingfeng Wen, Xuan Tang, Mingjie Ouyang +5
Diffusion generative models (DMs) have achieved promising results in image and graph generation. However, real-world graphs, such as social networks, molecular graphs, and traffic…
Continual Learning for Pose-Agnostic Object Recognition in 3D Point Clouds
Xihao Wang, Xian Wei
Continual Learning aims to learn multiple incoming new tasks continually, and to keep the performance of learned tasks at a consistent level. However, existing research on continua…
SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding
Xian Wei, See Kiong Ng, Tongtong Zhang +1
Patient similarity assessment (PSA) is pivotal to evidence-based and personalized medicine, enabled by analyzing the increasingly available electronic health records (EHRs). Howeve…
Learning Robust and Lightweight Model through Separable Structured Transformations
Xian Wei, Yanhui Huang, Yangyu Xu +5
With the proliferation of mobile devices and the Internet of Things, deep learning models are increasingly deployed on devices with limited computing resources and memory, and are…
Couplformer:Rethinking Vision Transformer with Coupling Attention Map
Hai Lan, Xihao Wang, Xian Wei
With the development of the self-attention mechanism, the Transformer model has demonstrated its outstanding performance in the computer vision domain. However, the massive computa…
Joint Learning of Discriminative Low-dimensional Image Representations Based on Dictionary Learning and Two-layer Orthogonal Projections
Xian Wei, Hao Shen, Yuanxiang Li +4
There are some inadequacies in the language description of this paper that require further improvement. This paper is based on a revision of a conference paper. It is now necessary…
Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations
Xian Wei, Hao Shen, Martin Kleinsteuber
This work studies the problem of learning appropriate low dimensional image representations. We propose a generic algorithmic framework, which leverages two classic representation…
Fault-Tolerant Control of Linear Quantum Stochastic Systems
Shi Wang, Daoyi Dong
In quantum engineering, faults may occur in a quantum control system, which will cause the quantum control system unstable or deteriorate other relevant performance of the system.…
An Adaptive Dictionary Learning Approach for Modeling Dynamical Textures
Xian Wei, Hao Shen, Martin Kleinsteuber
Video representation is an important and challenging task in the computer vision community. In this paper, we assume that image frames of a moving scene can be modeled as a Linear…