Publications - Machine Learning SG

Joint Label Prediction based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation. (2019)

Zhao Zhang Yan Zhang Guangcan Liu Jinhui Tang Shuicheng Yan Meng Wang

external data representation feature vector kernel robust statistics factorization +6 more

arXiv preprint arXiv:1905.10572 1 citations Published 2019-05-25
DIANet: Dense-and-Implicit Attention Network. (2019)

Zhongzhan Huang Senwei Liang Mingfu Liang Haizhao Yang

normalization contextual image classification machine learning residual computer science +4 more

arXiv preprint arXiv:1905.10671 4 citations Published 2019-05-25
Adversarial sample detection for deep neural network through model mutation testing (2019)

Jingyi Wang Guoliang Dong Jun Sun Xinyu Wang Peixin Zhang

mnist database statistical hypothesis testing artificial neural network machine learning adversarial system +3 more

2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE) 53 citations Published 2019-05-25
Privacy Risks of Securing Machine Learning Models against Adversarial Examples (2019)

Liwei Song Reza Shokri Prateek Mittal

inference security domain information leakage exploit adversarial system +6 more

arXiv preprint arXiv:1905.10291 11 citations Published 2019-05-24
Neural Collaborative Subspace Clustering (2019)

Tong Zhang Pan Ji Mehrtash Harandi Wen-bing Huang Hongdong Li

computer science pattern recognition artificial intelligence subspace clustering

International Conference on Machine Learning 8 citations Published 2019-05-24
COMIC: Multi-view Clustering Without Parameter Selection (2019)

Xi Peng Zhenyu Huang Jiancheng Lv Hongyuan Zhu Joey Tianyi Zhou

cluster analysis comics computer science pattern recognition artificial intelligence

International Conference on Machine Learning 21 citations Published 2019-05-24
Collective Model Fusion for Multiple Black-Box Experts. (2019)

Minh Hoang Nghia Hoang Bryan Kian Hsiang Low Carleton Kingsford

black box computer science artificial intelligence fusion collective model

International Conference on Machine Learning 9 citations Published 2019-05-24
Three-dimensional image authentication using binarized images in double random phase integral imaging (2019)

Weitao Song Qijia Cheng Yue Liu Yuanjin Zheng Zhiping Lin Yongtian Wang

data compression integral imaging encryption cross correlation fourier transform +7 more

Chinese Optics Letters 1 citations Published 2019-05-23
SelectNet: Learning to Sample from the Wild for Imbalanced Data Training (2019)

Yunru Liu Tingran Gao Haizhao Yang

supervised learning artificial neural network classifier machine learning resampling +6 more

arXiv preprint arXiv:1905.09872 Published 2019-05-23
RGB laser speckles based 3D profilometry (2019)

Fuqiang Zhong Ravi Kumar Chenggen Quan

speckle pattern rgb color model color image monochrome three ccd camera +6 more

Applied Physics Letters 13 citations Published 2019-05-22
Augmenting Physiological Time Series Data: A Case Study for Sleep Apnea Detection. (2019)

Konstantinos Nikolaidis Stein Kristiansen Vera Goebel Thomas Plagemann Knut Liestøl Mohan Kankanhalli

perceptron test data generation synthetic data support vector machine random forest +6 more

arXiv preprint arXiv:1905.09068 1 citations Published 2019-05-22
Towards Effective Tactile Identification of Textures using a Hybrid Touch Approach (2019)

Tasbolat Taunyazov Hui Fang Koh Yan Wu Caixia Cai Harold Soh

icub recurrent neural network test data robot support vector machine +6 more

2019 International Conference on Robotics and Automation (ICRA) 7 citations Published 2019-05-21
AMR Parsing as Sequence-to-Graph Transduction (2019)

Sheng Zhang Xutai Ma Kevin Duh Benjamin Van Durme

parsing natural language processing computer science artificial intelligence graph

arXiv preprint arXiv:1905.08704 5 citations Published 2019-05-21
UWB/LiDAR Fusion For Cooperative Range-Only SLAM (2019)

Yang Song Mingyang Guan Wee Peng Tay Choi Look Law Changyun Wen

simultaneous localization and mapping lidar ranging mobile robot beacon +6 more

2019 International Conference on Robotics and Automation (ICRA) 9 citations Published 2019-05-20
Neural Graph Collaborative Filtering (2019)

Xiang Wang Xiangnan He Meng Wang Fuli Feng Tat-Seng Chua

collaborative filtering recommender system deep learning embedding bipartite graph +6 more

arXiv preprint arXiv:1905.08108 27 citations Published 2019-05-20
Integrated UWB-Vision Approach for Autonomous Docking of UAVs in GPS-denied Environments (2019)

Thien-Minh Nguyen Thien Hoang Nguyen Muqing Cao Zhirong Qiu Lihua Xie

machine vision ranging field of view global positioning system visualization +6 more

2019 International Conference on Robotics and Automation (ICRA) 4 citations Published 2019-05-20
Factored Contextual Policy Search with Bayesian optimization (2019)

Robert Pinsler Peter Karkus Andras Kupcsik David Hsu Wee Sun Lee

robot learning bayesian optimization active learning task analysis search algorithm +6 more

2019 International Conference on Robotics and Automation (ICRA) Published 2019-05-20
Content-Aware Personalised Rate Adaptation for Adaptive Streaming via Deep Video Analysis (2019)

Guanyu Gao Linsen Dong Huaizheng Zhang Yonggang Wen Wenjun Zeng

deep learning multimedia computer science artificial intelligence de facto +5 more

ICC 2019 - 2019 IEEE International Conference on Communications (ICC) 5 citations Published 2019-05-20
Constrained Deep Learning for Wireless Resource Management (2019)

Hoon Lee Sang Hyun Lee Tony Q. S. Quek

wireless network deep learning distributed computing transmitter power output computer science +6 more

ICC 2019 - 2019 IEEE International Conference on Communications (ICC) 3 citations Published 2019-05-20
Membership Inference Attacks Against Adversarially Robust Deep Learning Models (2019)

Liwei Song Reza Shokri Prateek Mittal

inference overfitting security domain robustness deep learning +6 more

2019 IEEE Security and Privacy Workshops (SPW) 16 citations Published 2019-05-19

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Joint Label Prediction based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation. (2019)

DIANet: Dense-and-Implicit Attention Network. (2019)

Adversarial sample detection for deep neural network through model mutation testing (2019)

Privacy Risks of Securing Machine Learning Models against Adversarial Examples (2019)

Neural Collaborative Subspace Clustering (2019)

COMIC: Multi-view Clustering Without Parameter Selection (2019)

Collective Model Fusion for Multiple Black-Box Experts. (2019)

Three-dimensional image authentication using binarized images in double random phase integral imaging (2019)

SelectNet: Learning to Sample from the Wild for Imbalanced Data Training (2019)

RGB laser speckles based 3D profilometry (2019)

Augmenting Physiological Time Series Data: A Case Study for Sleep Apnea Detection. (2019)

Towards Effective Tactile Identification of Textures using a Hybrid Touch Approach (2019)

AMR Parsing as Sequence-to-Graph Transduction (2019)

UWB/LiDAR Fusion For Cooperative Range-Only SLAM (2019)

Neural Graph Collaborative Filtering (2019)

Integrated UWB-Vision Approach for Autonomous Docking of UAVs in GPS-denied Environments (2019)

Factored Contextual Policy Search with Bayesian optimization (2019)

Content-Aware Personalised Rate Adaptation for Adaptive Streaming via Deep Video Analysis (2019)

Constrained Deep Learning for Wireless Resource Management (2019)

Membership Inference Attacks Against Adversarially Robust Deep Learning Models (2019)