Risk-optimized Outlier Removal for Robust 3D Point Cloud Classification

1 code implementation • 20 Jul 2023 • Xinke Li, Junchi Lu, Henghui Ding, Changsheng Sun, Joey Tianyi Zhou, Chee Yeow Meng

With the growth of 3D sensing technology, deep learning system for 3D point clouds has become increasingly important, especially in applications like autonomous vehicles where safety is a primary concern.

3D Point Cloud Classification Autonomous Vehicles +4

Generalizing Neural Networks by Reflecting Deviating Data in Production

1 code implementation • 6 Oct 2021 • Yan Xiao, Yun Lin, Ivan Beschastnikh, Changsheng Sun, David S. Rosenblum, Jin Song Dong

However, inputs may deviate from the training dataset distribution in real deployments.

Digraph Inception Convolutional Networks

1 code implementation • NeurIPS 2020 • Zekun Tong, Yuxuan Liang, Changsheng Sun, Xinke Li, David Rosenblum, Andrew Lim

Graph Convolutional Networks (GCNs) have shown promising results in modeling graph-structured data.

Directed Graph Convolutional Network

1 code implementation • 29 Apr 2020 • Zekun Tong, Yuxuan Liang, Changsheng Sun, David S. Rosenblum, Andrew Lim

Graph Convolutional Networks (GCNs) have been widely used due to their outstanding performance in processing graph-structured data.

DISCO: Influence Maximization Meets Network Embedding and Deep Learning

no code implementations • 18 Jun 2019 • Hui Li, Mengting Xu, Sourav S. Bhowmick, Changsheng Sun, Zhongyuan Jiang, Jiangtao Cui

As the number of required samples have been recently proven to be lower bounded by a particular threshold that presets tradeoff between the accuracy and efficiency, the result quality of these traditional solutions is hard to be further improved without sacrificing efficiency.

Network Embedding