Publications - Machine Learning SG

A Multi-view CNN with Novel Variance Layer for Motor Imagery Brain Computer Interface (2020)

Ravikiran Mane Neethu Robinson A. P. Vinod Seong-Whan Lee Cuntai Guan

deep learning convolutional neural network brain computer interface discriminative model motor imagery +6 more

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) Published 2020-07-01
Cross-Scale Internal Graph Neural Network for Image Super-Resolution (2020)

Shangchen Zhou Jiawei Zhang Wangmeng Zuo Chen Change Loy

image restoration artificial neural network pattern recognition computer science artificial intelligence +5 more

arXiv preprint arXiv:2006.16673 Published 2020-06-30
Resilience Bounds of Network Clock Synchronization with Fault Correction. (2020)

Linshan Jiang Rui Tan Arvind Easwaran

artificial neural network deep learning collaborative learning test data generation encryption +6 more

arXiv preprint arXiv:2006.15832 Published 2020-06-29
Multitemporal time series analysis using machine learning models for ground deformation in the Erhai region, China (2020)

Yahui Guo Shunqiang Hu Wenxiang Wu Yuyi Wang J. Senthilnath

least squares support vector machine multilayer perceptron interferometric synthetic aperture radar mean squared error approximation error +6 more

Environmental Monitoring and Assessment Published 2020-06-29
Historical and futuristic perspectives of robotics (2020)

Shuzhi Sam Ge Shuzhi Sam Ge Dongjie Zhao Dongyu Li Xuewei Mao Alireza Nemati

mobile robot robot robotics social robot human computer interaction +4 more

Artificial Life and Robotics Published 2020-06-29
Affect Recognition for Multimodal Natural Language Processing (2020)

Soujanya Poria Ong Yew Soon Bing Liu Lidong Bing

natural language processing computer science artificial intelligence

Cognitive Computation Published 2020-06-29
A Machine Learning Approach for Vulnerability Curation. (2020)

Yang Chen Andrew E. Santosa Ming Yi Ang Abhishek Sharma Asankhaya Sharma David Lo

vulnerability computer science machine learning artificial intelligence

Proceedings of the 17th International Conference on Mining Software Repositories Published 2020-06-29
White-box fairness testing through adversarial sampling. (2020)

Peixin Zhang Jingyi Wang Jun Sun Guoliang Dong Xinyu Wang Xingen Wang Jin Song Dong Ting Dai

white box dependability cluster analysis scalability machine learning +6 more

Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering 5 citations Published 2020-06-27
Video-Grounded Dialogues with Pretrained Generation Language Models (2020)

Hung Le Steven C. H. Hoi

language model natural language processing computer science artificial intelligence generation language +2 more

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics Published 2020-06-27
Lessons Learned from Accident of Autonomous Vehicle Testing: An Edge Learning-aided Offloading Framework. (2020)

Bo Yang Xuelin Cao Xiangfang Li Chau Yuen Lijun Qian

inference optimization problem deep learning wireless distributed computing +5 more

arXiv preprint arXiv:2006.15382 Published 2020-06-27
Fuzz testing based data augmentation to improve robustness of deep neural networks. (2020)

Xiang Gao Ripon K. Saha Mukul R. Prasad Abhik Roychoudhury

robustness fuzz testing computer science machine learning artificial intelligence +1 more

Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering 5 citations Published 2020-06-27
Fitness Guided Vulnerability Detection with Greybox Fuzzing. (2020)

Raveendra Kumar Medicherla Raghavan Komondoor Abhik Roychoudhury

fuzz testing computer science machine learning artificial intelligence vulnerability detection

Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops Published 2020-06-27
Domain-Based Fuzzing for Supervised Learning of Anomaly Detection in Cyber-Physical Systems (2020)

Herman Wijaya Maurício Finavaro Aniche Aditya Mathur

supervised learning anomaly detection fuzz testing industrial control system domain testing +6 more

Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops 2 citations Published 2020-06-27
An image similarity descriptor for classification tasks (2020)

Liangliang Wang Deepu Rajan

sparse approximation support vector machine histogram pattern recognition correlation +3 more

Journal of Visual Communication and Image Representation 1 citations Published 2020-06-26
A Unified Framework for Analyzing and Detecting Malicious Examples of DNN Models. (2020)

Kaidi Jin Tianwei Zhang Chao Shen Yufei Chen Ming Fan Chenhao Lin Ting Liu

backdoor deep learning inference adversarial system machine learning +4 more

arXiv preprint arXiv:2006.14871 2 citations Published 2020-06-26
Towards Differentially Private Text Representations. (2020)

Lingjuan Lyu Yitong Li Xuanli He Tong Xiao

label distribution protocol user information deep learning computer science classifier +4 more

arXiv preprint arXiv:2006.14170 Published 2020-06-25
Prediction of electromagnetic field patterns of optical waveguide using neural network (2020)

Gandhi Alagappan Ching Eng Png

electromagnetic field waveguide artificial neural network recurrent neural network waveguide +6 more

Neural Computing and Applications Published 2020-06-25
On the Replicability and Reproducibility of Deep Learning in Software Engineering. (2020)

Chao Liu Cuiyun Gao Xin Xia David Lo John C. Grundy Xiaohu Yang

feature engineering domain knowledge deep learning vocabulary test data +6 more

arXiv preprint arXiv:2006.14244 3 citations Published 2020-06-25
Empirical Analysis of Overfitting and Mode Drop in GAN Training (2020)

Yasin Yazici Chuan-Sheng Foo Stefan Winkler Kim-Hui Yap Vijay Chandrasekhar

overfitting machine learning computer science artificial intelligence intuition +1 more

arXiv preprint arXiv:2006.14265 Published 2020-06-25
Data-Limited Modulation Classification With a CVAE-Enhanced Learning Model (2020)

Xuefei Ji Jue Wang Ye Li Qiang Sun Shi Jin Tony Q. S. Quek

data modeling feature extraction universal software radio peripheral classifier machine learning +6 more

IEEE Communications Letters Published 2020-06-25

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A Multi-view CNN with Novel Variance Layer for Motor Imagery Brain Computer Interface (2020)

Cross-Scale Internal Graph Neural Network for Image Super-Resolution (2020)

Resilience Bounds of Network Clock Synchronization with Fault Correction. (2020)

Multitemporal time series analysis using machine learning models for ground deformation in the Erhai region, China (2020)

Historical and futuristic perspectives of robotics (2020)

Affect Recognition for Multimodal Natural Language Processing (2020)

A Machine Learning Approach for Vulnerability Curation. (2020)

White-box fairness testing through adversarial sampling. (2020)

Video-Grounded Dialogues with Pretrained Generation Language Models (2020)

Lessons Learned from Accident of Autonomous Vehicle Testing: An Edge Learning-aided Offloading Framework. (2020)

Fuzz testing based data augmentation to improve robustness of deep neural networks. (2020)

Fitness Guided Vulnerability Detection with Greybox Fuzzing. (2020)

Domain-Based Fuzzing for Supervised Learning of Anomaly Detection in Cyber-Physical Systems (2020)

An image similarity descriptor for classification tasks (2020)

A Unified Framework for Analyzing and Detecting Malicious Examples of DNN Models. (2020)

Towards Differentially Private Text Representations. (2020)

Prediction of electromagnetic field patterns of optical waveguide using neural network (2020)

On the Replicability and Reproducibility of Deep Learning in Software Engineering. (2020)

Empirical Analysis of Overfitting and Mode Drop in GAN Training (2020)

Data-Limited Modulation Classification With a CVAE-Enhanced Learning Model (2020)