Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Li Yang

Li Yang

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

Figure 1 for PDNet: Towards Better One-stage Object Detection with Prediction Decoupling
Figure 2 for PDNet: Towards Better One-stage Object Detection with Prediction Decoupling
Figure 3 for PDNet: Towards Better One-stage Object Detection with Prediction Decoupling
Figure 4 for PDNet: Towards Better One-stage Object Detection with Prediction Decoupling

  Access Paper or Ask Questions

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 
  Access Paper or Ask Questions

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

Figure 1 for RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy
Figure 2 for RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy
Figure 3 for RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy
Figure 4 for RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy

  Access Paper or Ask Questions

Adaptive Degradation Process with Deep Learning-Driven Trajectory


Mar 22, 2021
Li Yang

Figure 1 for Adaptive Degradation Process with Deep Learning-Driven Trajectory
Figure 2 for Adaptive Degradation Process with Deep Learning-Driven Trajectory
Figure 3 for Adaptive Degradation Process with Deep Learning-Driven Trajectory
Figure 4 for Adaptive Degradation Process with Deep Learning-Driven Trajectory
* 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 
  Access Paper or Ask Questions

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


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

Figure 1 for Spatial Attention-based Non-reference Perceptual Quality Prediction Network for Omnidirectional Images
Figure 2 for Spatial Attention-based Non-reference Perceptual Quality Prediction Network for Omnidirectional Images
Figure 3 for Spatial Attention-based Non-reference Perceptual Quality Prediction Network for Omnidirectional Images
Figure 4 for Spatial Attention-based Non-reference Perceptual Quality Prediction Network for Omnidirectional Images
* Accepted by IEEE ICME 2021 
  Access Paper or Ask Questions

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


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

Figure 1 for DA2: Deep Attention Adapter for Memory-EfficientOn-Device Multi-Domain Learning
Figure 2 for DA2: Deep Attention Adapter for Memory-EfficientOn-Device Multi-Domain Learning
Figure 3 for DA2: Deep Attention Adapter for Memory-EfficientOn-Device Multi-Domain Learning
Figure 4 for DA2: Deep Attention Adapter for Memory-EfficientOn-Device Multi-Domain Learning

  Access Paper or Ask Questions

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

Figure 1 for MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning
Figure 2 for MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning
Figure 3 for MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning
Figure 4 for MetaGater: Fast Learning of Conditional Channel Gated Networks via Federated Meta-Learning

  Access Paper or Ask Questions

Lexicon-constrained Copying Network for Chinese Abstractive Summarization


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

Figure 1 for Lexicon-constrained Copying Network for Chinese Abstractive Summarization
Figure 2 for Lexicon-constrained Copying Network for Chinese Abstractive Summarization
Figure 3 for Lexicon-constrained Copying Network for Chinese Abstractive Summarization
Figure 4 for Lexicon-constrained Copying Network for Chinese Abstractive Summarization

  Access Paper or Ask Questions

A Progressive Sub-Network Searching Framework for Dynamic Inference


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

Figure 1 for A Progressive Sub-Network Searching Framework for Dynamic Inference
Figure 2 for A Progressive Sub-Network Searching Framework for Dynamic Inference
Figure 3 for A Progressive Sub-Network Searching Framework for Dynamic Inference
Figure 4 for A Progressive Sub-Network Searching Framework for Dynamic Inference

  Access Paper or Ask Questions

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


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

Figure 1 for KSM: Fast Multiple Task Adaption via Kernel-wise Soft Mask Learning
Figure 2 for KSM: Fast Multiple Task Adaption via Kernel-wise Soft Mask Learning
Figure 3 for KSM: Fast Multiple Task Adaption via Kernel-wise Soft Mask Learning
Figure 4 for KSM: Fast Multiple Task Adaption via Kernel-wise Soft Mask Learning

  Access Paper or Ask Questions

On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice


Aug 07, 2020
Li Yang, Abdallah Shami

Figure 1 for On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice
Figure 2 for On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice
Figure 3 for On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice
Figure 4 for On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice
* 69 Pages, 10 tables, accepted in Neurocomputing, Elsevier. Github link: https://github.com/LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms 
  Access Paper or Ask Questions

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

Figure 1 for Big Bird: Transformers for Longer Sequences
Figure 2 for Big Bird: Transformers for Longer Sequences
Figure 3 for Big Bird: Transformers for Longer Sequences
Figure 4 for Big Bird: Transformers for Longer Sequences

  Access Paper or Ask Questions

Tree-based Intelligent Intrusion Detection System in Internet of Vehicles


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

Figure 1 for Tree-based Intelligent Intrusion Detection System in Internet of Vehicles
Figure 2 for Tree-based Intelligent Intrusion Detection System in Internet of Vehicles
Figure 3 for Tree-based Intelligent Intrusion Detection System in Internet of Vehicles
Figure 4 for Tree-based Intelligent Intrusion Detection System in Internet of Vehicles
* Accepted in IEEE Global Communications Conference (GLOBECOM) 2019 
  Access Paper or Ask Questions

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

Figure 1 for Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness
Figure 2 for Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness
Figure 3 for Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness
Figure 4 for Robust Sparse Regularization: Simultaneously Optimizing Neural Network Robustness and Compactness

  Access Paper or Ask Questions

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

Figure 1 for Computer-aided Detection of Squamous Carcinoma of the Cervix in Whole Slide Images
Figure 2 for Computer-aided Detection of Squamous Carcinoma of the Cervix in Whole Slide Images
Figure 3 for Computer-aided Detection of Squamous Carcinoma of the Cervix in Whole Slide Images
Figure 4 for Computer-aided Detection of Squamous Carcinoma of the Cervix in Whole Slide Images
* 8 pages, 5figures 
  Access Paper or Ask Questions

Saliency Prediction on Omnidirectional Images with Generative Adversarial Imitation Learning


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

Figure 1 for Saliency Prediction on Omnidirectional Images with Generative Adversarial Imitation Learning
Figure 2 for Saliency Prediction on Omnidirectional Images with Generative Adversarial Imitation Learning
Figure 3 for Saliency Prediction on Omnidirectional Images with Generative Adversarial Imitation Learning
Figure 4 for Saliency Prediction on Omnidirectional Images with Generative Adversarial Imitation Learning

  Access Paper or Ask Questions

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


Jan 15, 2012
Li Yang, Yuhui Wang

Figure 1 for Tacit knowledge mining algorithm based on linguistic truth-valued concept lattice
Figure 2 for Tacit knowledge mining algorithm based on linguistic truth-valued concept lattice

  Access Paper or Ask Questions