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GROWN: GRow Only When Necessary for Continual Learning


Oct 03, 2021
Li Yang, Sen Lin, Junshan Zhang, Deliang Fan

* 8 pages. arXiv admin note: text overlap with arXiv:2007.07617 by other authors 

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The Report on China-Spain Joint Clinical Testing for Rapid COVID-19 Risk Screening by Eye-region Manifestations


Sep 18, 2021
Yanwei Fu, Feng Li, Paula boned Fustel, Lei Zhao, Lijie Jia, Haojie Zheng, Qiang Sun, Shisong Rong, Haicheng Tang, Xiangyang Xue, Li Yang, Hong Li, Jiao Xie Wenxuan Wang, Yuan Li, Wei Wang, Yantao Pei, Jianmin Wang, Xiuqi Wu, Yanhua Zheng, Hongxia Tian, Mengwei Gu


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Concept Drift Detection in Federated Networked Systems


Sep 13, 2021
Dimitrios Michael Manias, Ibrahim Shaer, Li Yang, Abdallah Shami

* Accepted in IEEE GLOBECOM 2021 

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PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams


Sep 10, 2021
Li Yang, Dimitrios Michael Manias, Abdallah Shami

* Accepted and to appear in IEEE GlobeCom 2021; Code is available at Github link: https://github.com/Western-OC2-Lab/PWPAE-Concept-Drift-Detection-and-Adaptation 

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Multi-Perspective Content Delivery Networks Security Framework Using Optimized Unsupervised Anomaly Detection


Jul 24, 2021
Li Yang, Abdallah Moubayed, Abdallah Shami, Parisa Heidari, Amine Boukhtouta, Adel Larabi, Richard Brunner, Stere Preda, Daniel Migault

* Accepted and to Appear in IEEE Transactions on Network and Service Management 

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Rapid COVID-19 Risk Screening by Eye-region Manifestations


Jun 12, 2021
Yanwei Fu, Lei Zhao, Haojie Zheng, Qiang Sun, Li Yang, Hong Li, Jiao Xie, Xiangyang Xue, Feng Li, Yuan Li, Wei Wang, Yantao Pei, Jianmin Wang, Xiuqi Wu, Yanhua Zheng, Hongxia Tian Mengwei Gu1


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MTH-IDS: A Multi-Tiered Hybrid Intrusion Detection System for Internet of Vehicles


May 26, 2021
Li Yang, Abdallah Moubayed, Abdallah Shami

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

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PDNet: Towards Better One-stage Object Detection with Prediction Decoupling


Apr 28, 2021
Li Yang, Yan Xu, Shaoru Wang, Chunfeng Yuan, Ziqi Zhang, Bing Li, Weiming Hu


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A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams


Apr 21, 2021
Li Yang, Abdallah Shami

* Accepted and to appear in IEEE Internet of Things Magazine; Code is available at Github link:https://github.com/Western-OC2-Lab/OASW-Concept-Drift-Detection-and-Adaptation 

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RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy


Mar 22, 2021
Adnan Siraj Rakin, Li Yang, Jingtao Li, Fan Yao, Chaitali Chakrabarti, Yu Cao, Jae-sun Seo, Deliang Fan


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Adaptive Degradation Process with Deep Learning-Driven Trajectory


Mar 22, 2021
Li Yang

* This work will be submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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Spatial Attention-based Non-reference Perceptual Quality Prediction Network for Omnidirectional Images


Mar 10, 2021
Li Yang, Mai Xu, Deng Xin, Bo Feng

* Accepted by IEEE ICME 2021 

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DA2: Deep Attention Adapter for Memory-EfficientOn-Device Multi-Domain Learning


Dec 02, 2020
Li Yang, Adnan Siraj Rakin, Deliang Fan


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MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning


Nov 28, 2020
Sen Lin, Li Yang, Zhezhi He, Deliang Fan, Junshan Zhang


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Lexicon-constrained Copying Network for Chinese Abstractive Summarization


Oct 16, 2020
Boyan Wan, Zhuo Tang, Li Yang


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A Progressive Sub-Network Searching Framework for Dynamic Inference


Sep 11, 2020
Li Yang, Zhezhi He, Yu Cao, Deliang Fan


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KSM: Fast Multiple Task Adaption via Kernel-wise Soft Mask Learning


Sep 11, 2020
Li Yang, Zhezhi He, Junshan Zhang, Deliang Fan


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On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice


Aug 07, 2020
Li Yang, Abdallah Shami

* 69 Pages, 10 tables, accepted in Neurocomputing, Elsevier. Github link: https://github.com/LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms 

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Big Bird: Transformers for Longer Sequences


Jul 28, 2020
Manzil Zaheer, Guru Guruganesh, Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontanon, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, Amr Ahmed


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Tree-based Intelligent Intrusion Detection System in Internet of Vehicles


Oct 18, 2019
Li Yang, Abdallah Moubayed, Ismail Hamieh, Abdallah Shami

* Accepted in IEEE Global Communications Conference (GLOBECOM) 2019 

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Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness


May 30, 2019
Adnan Siraj Rakin, Zhezhi He, Li Yang, Yanzhi Wang, Liqiang Wang, Deliang Fan


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Computer-aided Detection of Squamous Carcinoma of the Cervix in Whole Slide Images


May 27, 2019
Ye Tian, Li Yang, Wei Wang, Jing Zhang, Qing Tang, Mili Ji, Yang Yu, Yu Li, Hong Yang, Airong Qian

* 8 pages, 5figures 

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Saliency Prediction on Omnidirectional Images with Generative Adversarial Imitation Learning


Apr 15, 2019
Mai Xu, Li Yang, Xiaoming Tao, Yiping Duan, Zulin Wang


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Tacit knowledge mining algorithm based on linguistic truth-valued concept lattice


Jan 15, 2012
Li Yang, Yuhui Wang


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