NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (29)

cs.IR2018

NeuRec: On Nonlinear Transformation for Personalized Ranking

Shuai Zhang, Lina Yao, Aixin Sun +3

cs.LG2015

Compound Rank-k Projections for Bilinear Analysis

Xiaojun Chang, Feiping Nie, Sen Wang +3

cs.RO2016

Increasing the Efficiency of 6-DoF Visual Localization Using Multi-Modal Sensory Data

Ronald Clark, Sen Wang, Hongkai Wen +2

cs.CV2017

VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization

Ronald Clark, Sen Wang, Andrew Markham +2

astro-ph.IM2014

New Vacuum Solar Telescope and Observations with High Resolution

Zhong Liu, Jun Xu, Bo-Zhong Gu +17

cs.LG2016

Uncovering Locally Discriminative Structure for Feature Analysis

Sen Wang, Feiping Nie, Xiaojun Chang +3

cs.CV2018

UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning

Ruihao Li, Sen Wang, Zhiqiang Long +1

cs.DC2016

Debugging OpenStack Problems Using a State Graph Approach

Yong Xiang, Hu Li, Sen Wang +1

cs.RO2018

Learning with Training Wheels: Speeding up Training with a Simple Controller for Deep Reinforcement Learning

Linhai Xie, Sen Wang, Stefano Rosa +2

cs.CV2019

Deep Reinforcement Learning for Autonomous Driving

Sen Wang, Daoyuan Jia, Xinshuo Weng

cs.CV2018

3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations

Zhihua Wang, Stefano Rosa, Bo Yang +3

cs.HC2018

Distributionally Robust Semi-Supervised Learning for People-Centric Sensing

Kaixuan Chen, Lina Yao, Dalin Zhang +3

cs.CV2017

3D Object Reconstruction from a Single Depth View with Adversarial Learning

Bo Yang, Hongkai Wen, Sen Wang +3

cs.IR2017

Hybrid Collaborative Recommendation via Semi-AutoEncoder

Shuai Zhang, Lina Yao, Xiwei Xu +2

cs.LG2018

Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement Learning

Minghai Chen, Sen Wang, Paul Pu Liang +3

cond-mat.mtrl-sci2017

Site preference and diffusion behaviors of H influenced by the implanted-He in 3C-\b{eta} SiC

Sen Wang, H. Y. He, R. Ding +2

cs.AI2017

Safety Verification of Deep Neural Networks

Xiaowei Huang, Marta Kwiatkowska, Sen Wang +1

cs.CL2018

Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling

Tao Shen, Tianyi Zhou, Guodong Long +3

cs.RO2017

Towards Monocular Vision based Obstacle Avoidance through Deep Reinforcement Learning

Linhai Xie, Sen Wang, Andrew Markham +1

cs.CV2019

Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformation

Hao Zhu, Xinxin Zuo, Sen Wang +2

cs.CV2018

POL-LWIR Vehicle Detection: Convolutional Neural Networks Meet Polarised Infrared Sensors

Marcel Sheeny, Andrew Wallace, Mehryar Emambakhsh +2

cs.CV2017

DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks

Sen Wang, Ronald Clark, Hongkai Wen +1

cs.CV2018

Multi-modality Sensor Data Classification with Selective Attention

Xiang Zhang, Lina Yao, Chaoran Huang +4

cs.DB2017

PDD Graph: Bridging Electronic Medical Records and Biomedical Knowledge Graphs via Entity Linking

Meng Wang, Jiaheng Zhang, Jun Liu +4

cs.CV2017

VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem

Ronald Clark, Sen Wang, Hongkai Wen +2

cs.RO2018

Defo-Net: Learning Body Deformation using Generative Adversarial Networks

Zhihua Wang, Stefano Rosa, Linhai Xie +4

cs.RO2018

Learning with Stochastic Guidance for Navigation

Linhai Xie, Yishu Miao, Sen Wang +5

cs.LG2015

Unsupervised Feature Analysis with Class Margin Optimization

Sen Wang, Feiping Nie, Xiaojun Chang +3

cs.IT2018

Towards the Standardization of Non-orthogonal Multiple Access for Next Generation Wireless Networks

Yan Chen, Alireza Bayesteh, Yiqun Wu +13