Search Results for author: Yue Sun

Found 12 papers, 2 papers with code

DeepPoint: A Deep Learning Model for 3D Reconstruction in Point Clouds via mmWave Radar

no code implementations19 Sep 2021 Yue Sun, Honggang Zhang, Zhuoming Huang, Benyuan Liu

Built on our recent proposed 3DRIMR (3D Reconstruction and Imaging via mmWave Radar), we introduce in this paper DeepPoint, a deep learning model that generates 3D objects in point cloud format that significantly outperforms the original 3DRIMR design.

3D Reconstruction Autonomous Navigation +1

Quantum Machine Learning for Finance

no code implementations9 Sep 2021 Marco Pistoia, Syed Farhan Ahmad, Akshay Ajagekar, Alexander Buts, Shouvanik Chakrabarti, Dylan Herman, Shaohan Hu, Andrew Jena, Pierre Minssen, Pradeep Niroula, Arthur Rattew, Yue Sun, Romina Yalovetzky

In fact, finance is estimated to be the first industry sector to benefit from Quantum Computing not only in the medium and long terms, but even in the short term.

Quantum Machine Learning

3DRIMR: 3D Reconstruction and Imaging via mmWave Radar based on Deep Learning

no code implementations5 Aug 2021 Yue Sun, Zhuoming Huang, Honggang Zhang, Zhi Cao, Deqiang Xu

In this paper we propose 3D Reconstruction and Imaging via mmWave Radar (3DRIMR), a deep learning based architecture that reconstructs 3D shape of an object in dense detailed point cloud format, based on sparse raw mmWave radar intensity data.

3D Reconstruction

Sample Efficient Subspace-based Representations for Nonlinear Meta-Learning

no code implementations14 Feb 2021 Halil Ibrahim Gulluk, Yue Sun, Samet Oymak, Maryam Fazel

We prove that subspace-based representations can be learned in a sample-efficient manner and provably benefit future tasks in terms of sample complexity.

Classification General Classification +1

A Hierarchical User Intention-Habit Extract Network for Credit Loan Overdue Risk Detection

no code implementations18 Aug 2020 Hao Guo, Xintao Ren, Rongrong Wang, Zhun Cai, Kai Shuang, Yue Sun

In this paper, we propose a model named HUIHEN (Hierarchical User Intention-Habit Extract Network) that leverages the users' behavior information in mobile banking APP.

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge

no code implementations4 Jul 2020 Yue Sun, Kun Gao, Zhengwang Wu, Zhihao Lei, Ying WEI, Jun Ma, Xiaoping Yang, Xue Feng, Li Zhao, Trung Le Phan, Jitae Shin, Tao Zhong, Yu Zhang, Lequan Yu, Caizi Li, Ramesh Basnet, M. Omair Ahmad, M. N. S. Swamy, Wenao Ma, Qi Dou, Toan Duc Bui, Camilo Bermudez Noguera, Bennett Landman, Ian H. Gotlib, Kathryn L. Humphreys, Sarah Shultz, Longchuan Li, Sijie Niu, Weili Lin, Valerie Jewells, Gang Li, Dinggang Shen, Li Wang

Deep learning-based methods have achieved state-of-the-art performance; however, one of major limitations is that the learning-based methods may suffer from the multi-site issue, that is, the models trained on a dataset from one site may not be applicable to the datasets acquired from other sites with different imaging protocols/scanners.

Brain Segmentation

Escaping from saddle points on Riemannian manifolds

no code implementations NeurIPS 2019 Yue Sun, Nicolas Flammarion, Maryam Fazel

We consider minimizing a nonconvex, smooth function $f$ on a Riemannian manifold $\mathcal{M}$.

Transform-Based Multilinear Dynamical System for Tensor Time Series Analysis

no code implementations18 Nov 2018 Weijun Lu, Xiao-Yang Liu, Qingwei Wu, Yue Sun, Anwar Walid

We propose a novel multilinear dynamical system (MLDS) in a transform domain, named $\mathcal{L}$-MLDS, to model tensor time series.

Time Series Time Series Analysis

Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning

no code implementations10 Feb 2018 Tao Tan, Zhang Li, Haixia Liu, Ping Liu, Wenfang Tang, Hui Li, Yue Sun, Yusheng Yan, Keyu Li, Tao Xu, Shanshan Wan, Ke Lou, Jun Xu, Huiming Ying, Quchang Ouyang, Yuling Tang, Zheyu Hu, Qiang Li

To help doctors to be more selective on biopsies and provide a second opinion on diagnosis, in this work, we propose a computer-aided diagnosis (CAD) system for lung diseases including cancers and tuberculosis (TB).

Transfer Learning

Denoising of 3D magnetic resonance images with multi-channel residual learning of convolutional neural network

1 code implementation23 Dec 2017 Dongsheng Jiang, Weiqiang Dou, Luc Vosters, Xiayu Xu, Yue Sun, Tao Tan

Without noise level parameter, our general noise-applicable model is also better than the other compared methods in two datasets.


Cannot find the paper you are looking for? You can Submit a new open access paper.