output
20102022
most citedLunar impact craters identification and age estimation with Chang'E data by deep and transfer learning

1.1k citations

14 papers

cs.CL2022★ 2 cited

End-to-End Entity Detection with Proposer and Regressor

Xueru Wen, Changjiang Zhou, Haotian Tang +3

Named entity recognition is a traditional task in natural language processing. In particular, nested entity recognition receives extensive attention for the widespread existence of…

math.AP2022★ 3 cited

Local geometric properties of conductive transmission eigenfunctions and applications

Huaian Diao, Xiaoxu Fei, Hongyu Liu

The purpose of the paper is twofold. First, we show that partial-data transmission eigenfunctions associated with a conductive boundary condition vanish locally around a polyhedral…

cs.CV2021★ 3 cited

Bounding-box deep calibration for high performance face detection

Shi Luo, Xiongfei Li, Xiaoli Zhang

Modern convolutional neural networks (CNNs)-based face detectors have achieved tremendous strides due to large annotated datasets. However, misaligned results with high detection c…

cs.CL2021★ 14 cited

Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order Perception

Ridong Han, Tao Peng, Jiayu Han +2

Wrong-labeling problem and long-tail relations severely affect the performance of distantly supervised relation extraction task. Many studies mitigate the effect of wrong-labeling…

cs.LG2021★ 27 cited

Fuzzy Discriminant Clustering with Fuzzy Pairwise Constraints

Zhen Wang, Shan-Shan Wang, Lan Bai +2

In semi-supervised fuzzy clustering, this paper extends the traditional pairwise constraint (i.e., must-link or cannot-link) to fuzzy pairwise constraint. The fuzzy pairwise constr…

cs.GT2021★ 69 cited

Applications of Game Theory in Vehicular Networks: A Survey

Zemin Sun, Yanheng Liu, Jian Wang +7

In the Internet of Things (IoT) era, vehicles and other intelligent components in an intelligent transportation system (ITS) are connected, forming Vehicular Networks (VNs) that pr…

cs.CV2020★ 32 cited

Deep Learning Analysis and Age Prediction from Shoeprints

Muhammad Hassan, Yan Wang, Di Wang +4

Human walking and gaits involve several complex body parts and are influenced by personality, mood, social and cultural traits, and aging. These factors are reflected in shoeprints…

cs.LG2020★ 15 cited

Multiple Flat Projections for Cross-manifold Clustering

Lan Bai, Yuan-Hai Shao, Wei-Jie Chen +2

Cross-manifold clustering is a hard topic and many traditional clustering methods fail because of the cross-manifold structures. In this paper, we propose a Multiple Flat Projectio…

astro-ph.EP2019★ 1.1k cited

Lunar impact craters identification and age estimation with Chang'E data by deep and transfer learning

Chen Yang, Haishi Zhao, Lorenzo Bruzzone +7

Impact craters, as "lunar fossils", are the most dominant lunar surface features and occupy most of the Moon's surface. Their formation and evolution record the history of the Sola…

cs.LG2019★ 15 cited

Hyperbolic Node Embedding for Signed Networks

Wenzhuo Song, Hongxu Chen, Xueyan Liu +2

Signed network embedding methods aim to learn vector representations of nodes in signed networks. However, existing algorithms only managed to embed networks into low-dimensional E…

cs.CV2018★ 22 cited

SFA: Small Faces Attention Face Detector

Shi Luo, Xiongfei Li, Rui Zhu +1

In recent year, tremendous strides have been made in face detection thanks to deep learning. However, most published face detectors deteriorate dramatically as the faces become sma…

cs.CV2018★ 39 cited

Low Cost Edge Sensing for High Quality Demosaicking

Yan Niu, Jihong Ouyang, Wanli Zuo +1

Digital cameras that use Color Filter Arrays (CFA) entail a demosaicking procedure to form full RGB images. As today's camera users generally require images to be viewed instantly,…

math.NA2017

Acceleration of weak Galerkin methods for the Laplacian eigenvalue problem

Qilong Zhai, Hehu Xie, Ran Zhang +1

Recently, we proposed a weak Galerkin finite element method for the Laplace eigenvalue problem. In this paper, we present two-grid and two-space skills to accelerate the weak Galer…

math.AC2010

A Two-Dimensional Improvement for Farr-Gao Algorithm

Tian Dong

Farr-Gao algorithm is a state-of-the-art algorithm for reduced Gröbner bases of vanishing ideals of finite points, which has been implemented in Maple as a build-in com…