Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics

1 code implementation • NeurIPS 2023 • Liming Wu, Zhichao Hou, Jirui Yuan, Yu Rong, Wenbing Huang

Learning to represent and simulate the dynamics of physical systems is a crucial yet challenging task.

A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications

no code implementations • 1 Mar 2024 • Jiaqi Han, Jiacheng Cen, Liming Wu, Zongzhao Li, Xiangzhe Kong, Rui Jiao, Ziyang Yu, Tingyang Xu, Fandi Wu, Zihe Wang, Hongteng Xu, Zhewei Wei, Yang Liu, Yu Rong, Wenbing Huang

Geometric graph is a special kind of graph with geometric features, which is vital to model many scientific problems.

RCNN-SliceNet: A Slice and Cluster Approach for Nuclei Centroid Detection in Three-Dimensional Fluorescence Microscopy Images

1 code implementation • 29 Jun 2021 • Liming Wu, Shuo Han, Alain Chen, Paul Salama, Kenneth W. Dunn, Edward J. Delp

Robust and accurate nuclei centroid detection is important for the understanding of biological structures in fluorescence microscopy images.

object-detection Object Detection

An Odor Labeling Convolutional Encoder-Decoder for Odor Sensing in Machine Olfaction

no code implementations • 25 Nov 2020 • Tengteng Wen, Zhuofeng Mo, Jingshan Li, Qi Liu, Liming Wu, Dehan Luo

In this paper, we proposed an odor labeling convolutional encoder-decoder (OLCE) for odor identification in machine olfaction.

Decoder