no code implementations • 1 Jul 2022 • Li Ma, Xiaoyu Li, Jing Liao, Xuan Wang, Qi Zhang, Jue Wang, Pedro Sander
Implicit radiance functions emerged as a powerful scene representation for reconstructing and rendering photo-realistic views of a 3D scene.
1 code implementation • CVPR 2022 • Jierun Chen, Tianlang He, Weipeng Zhuo, Li Ma, Sangtae Ha, S. -H. Gary Chan
Extensive experiments on face recognition show that TVConv reduces the computational cost by up to 3. 1x and improves the corresponding throughput by 2. 3x while maintaining a high accuracy compared to the depthwise convolution.
no code implementations • CVPR 2022 • Li Ma, Xiaoyu Li, Jing Liao, Qi Zhang, Xuan Wang, Jue Wang, Pedro V. Sander
We demonstrate that our method can be used on both camera motion blur and defocus blur: the two most common types of blur in real scenes.
1 code implementation • 11 Sep 2021 • Patrick LeBlanc, Li Ma
As a result, LDA can produce inference which is highly sensitive to the specification of the number of subcommunities and often divides a single subcommunity into multiple artificial ones.
no code implementations • 9 Sep 2021 • Yunyou Huang, Nana Wang, Suqin Tang, Li Ma, Tianshu Hao, Zihan Jiang, Fan Zhang, Guoxin Kang, Xiuxia Miao, Xianglong Guan, Ruchang Zhang, Zhifei Zhang, Jianfeng Zhan
In the real-world clinical setting, OpenClinicalAI significantly outperforms the state-of-the-art AI system.
1 code implementation • ICCV 2021 • Guangyao Chen, Peixi Peng, Li Ma, Jia Li, Lin Du, Yonghong Tian
This observation leads to more explanations of the CNN's generalization behaviors in both robustness to common perturbations and out-of-distribution detection, and motivates a new perspective on data augmentation designed by re-combing the phase spectrum of the current image and the amplitude spectrum of the distracter image.
Ranked #7 on
Out-of-Distribution Detection
on CIFAR-10
no code implementations • ACL 2021 • Zhihong Shen, Chieh-Han Wu, Li Ma, Chien-Pang Chen, Kuansan Wang
In this paper, we introduce a self-supervised end-to-end system, SciConceptMiner, for the automatic capture of emerging scientific concepts from both independent knowledge sources (semi-structured data) and academic publications (unstructured documents).
no code implementations • 14 Feb 2021 • Zhong Zhao, Yanmei Fu, Hanming Liang, Li Ma, Guangyao Zhao, Hongwei Jiang
One solution to this problem is to model the click and the reading duration simultaneously under the multi-task learning (MTL) framework.
1 code implementation • 26 Jan 2021 • Naoki Awaya, Li Ma
We propose an unsupervised tree boosting algorithm for inferring the underlying sampling distribution of an i. i. d.\ sample based on fitting additive tree ensembles in a fashion analogous to supervised tree boosting.
no code implementations • 24 Dec 2020 • Li Ma, Vicente Miquel
In this paper, we prove that the infimum of the mean curvature is zero for a translating solitons of hypersurface in $\re^{n+k}$.
Differential Geometry Analysis of PDEs translating solitons, stability, non-splitting, Dirichlet problem
no code implementations • 24 Dec 2020 • Li Ma
In this paper, we study the existence of complete Yamabe metric with zero scalar curvature on an n-dimensional complete Riemannian manifold $(M, g_0)$, $n\geq 3$.
Differential Geometry Analysis of PDEs 53C44, 53C20, 35Jxx, 35K50, 58J20
no code implementations • 24 Dec 2020 • Li Ma
In this paper, we study the sign-changing Kazdan-Warner's problem on two dimensional closed Riemannian manifold with negative Euler number $\chi(M)<0$.
Differential Geometry Analysis of PDEs 53C20, 35J60, 58G99
1 code implementation • 2 Aug 2020 • Jialiang Mao, Li Ma
A common routine in microbiome research is to identify reproducible patterns in the population through unsupervised clustering of samples.
Methodology Applications
1 code implementation • 11 Feb 2020 • Cheng Hong, Zhicong Huang, Wen-jie Lu, Hunter Qu, Li Ma, Morten Dahl, Jason Mancuso
Machine learning (ML) methods have been widely used in genomic studies.
Cryptography and Security
1 code implementation • CVPR 2020 • Rongjie Liu, Meng Li, Li Ma
Fast and effective image compression for multi-dimensional images has become increasingly important for efficient storage and transfer of massive amounts of high-resolution images and videos.
no code implementations • IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2019 • Li Zhou, Li Ma
An extreme learning machine (ELM)-based heterogeneous domain adaptation (HDA) algorithm is proposed for the classification of remote sensing images.
no code implementations • WS 2019 • Xinze Guo, Chang Liu, Xiaolong Li, Yiran Wang, Guoliang Li, Feng Wang, Zhitao Xu, Liuyi Yang, Li Ma, Changliang Li
This paper describes the Kingsoft AI Lab{'}s submission to the WMT2019 news translation shared task.
no code implementations • 18 Mar 2019 • Ji Zhao, Meiyu Yu, Huan Chen, Boning Li, Lingyu Zhang, Qi Song, Li Ma, Hua Chai, Jieping Ye
An accurate similarity calculation is challenging since the mismatch between a query and a retrieval text may exist in the case of a mistyped query or an alias inquiry.
1 code implementation • 18 Jun 2018 • Shai Gorsky, Li Ma
Identifying dependency in multivariate data is a common inference task that arises in numerous applications.
2 code implementations • 13 Dec 2017 • Jialiang Mao, Yuhan Chen, Li Ma
An important task in microbiome studies is to test the existence of and give characterization to differences in the microbiome composition across groups of samples.
Methodology Applications Computation
1 code implementation • 2 Nov 2017 • Meng Li, Li Ma
Effective learning of asymmetric and local features in images and other data observed on multi-dimensional grids is a challenging objective critical for a wide range of image processing applications involving biomedical and natural images.
no code implementations • 17 Apr 2017 • Jacopo Soriano, Li Ma
We introduce two techniques for incorporating these features in modeling related data samples using kernel mixtures.
1 code implementation • 14 Nov 2016 • Li Ma
We introduce a nonparametric prior on the conditional distribution of a (univariate or multivariate) response given a set of predictors.
Methodology Statistics Theory Computation Statistics Theory
no code implementations • 12 Feb 2016 • Li Ma, Jacopo Soriano
We introduce a wavelet-domain functional analysis of variance (fANOVA) method based on a Bayesian hierarchical model.