Li Yang

IoT Data Analytics in Dynamic Environments: From An Automated Machine Learning Perspective

Sep 16, 2022
Li Yang, Abdallah Shami

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* Engineering Applications of Artificial Intelligence 116C (2022) 105366
* Published in Engineering Applications of Artificial Intelligence (Elsevier, IF:7.8); Code/An AutoML tutorial is available at Github link: https://github.com/Western-OC2-Lab/AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics

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LCCDE: A Decision-Based Ensemble Framework for Intrusion Detection in The Internet of Vehicles

Aug 05, 2022
Li Yang, Abdallah Shami, Gary Stevens, Stephen De Rusett

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* Accepted and to appear in IEEE GlobeCom 2022; Code is available at Github link: https://github.com/Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning

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Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution

May 21, 2022
Li Yang, Zhibin He, Changhe Li, Junwei Han, Dajiang Zhu, Tianming Liu, Tuo Zhang

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Improving Visual Grounding with Visual-Linguistic Verification and Iterative Reasoning

Apr 30, 2022
Li Yang, Yan Xu, Chunfeng Yuan, Wei Liu, Bing Li, Weiming Hu

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* Accepted to CVPR 2022

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Shifting Trends of COVID-19 Tweet Sentiment with Respect to Voting Preferences in the 2020 Election Year of the United States

Feb 15, 2022
Megan Doman, Jacob Motley, Hong Qin, Mengjun Xie, Li Yang

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* 4 pages, 3 figures

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TRGP: Trust Region Gradient Projection for Continual Learning

Feb 07, 2022
Sen Lin, Li Yang, Deliang Fan, Junshan Zhang

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* Published as a conference paper at ICLR 2022

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A Transfer Learning and Optimized CNN Based Intrusion Detection System for Internet of Vehicles

Jan 27, 2022
Li Yang, Abdallah Shami

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* Accepted and to appear in IEEE International Conference on Communications (ICC); Code is available at Github link: https://github.com/Western-OC2-Lab/Intrusion-Detection-System-Using-CNN-and-Transfer-Learning

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Gradient-based Novelty Detection Boosted by Self-supervised Binary Classification

Dec 18, 2021
Jingbo Sun, Li Yang, Jiaxin Zhang, Frank Liu, Mahantesh Halappanavar, Deliang Fan, Yu Cao

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MAVE: A Product Dataset for Multi-source Attribute Value Extraction

Dec 16, 2021
Li Yang, Qifan Wang, Zac Yu, Anand Kulkarni, Sumit Sanghai, Bin Shu, Jon Elsas, Bhargav Kanagal

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* 10 pages, 7 figures. Accepted to WSDM 2022. Dataset available at https://github.com/google-research-datasets/MAVE

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On the Dilution of Precision for Time Difference of Arrival with Station Deployment

Dec 10, 2021
Fengyun Zhang, Hao Li, Yulong Ding, Shuang-Hua Yang, Li Yang

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* IET.Sig.Proc. 15(2021)353-364

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