Kuan Li

Orcid: 0000-0002-6812-6932

According to our database1, Kuan Li authored at least 78 papers between 2010 and 2024.

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Bibliography

2024
Subspace Frequency Estimation Under Colored Noise With Application to Fault Diagnosis of Motor Rolling Bearings.
IEEE Trans. Ind. Informatics, September, 2024

Leveraging Sample Complementarity: A Novel Ensemble Strategy.
Proceedings of the International Joint Conference on Neural Networks, 2024

Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Multi-NPDQ: A Multi-agent Approach Through Deep Reinforcement Learning for Operation Scheduling.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

EAtuner: Comparative Study of Evolutionary Algorithms for Compiler Auto-tuning.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

MAT-VIT: A Vision Transformer with MAE-Based Self-Supervised Auxiliary Task for Medical Image Classification.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023
Subspace Identification for Closed-Loop Systems With Unknown Deterministic Disturbances.
IEEE CAA J. Autom. Sinica, December, 2023

Real-time notch filtering based on the modified subspace-based high-resolution frequency estimator.
Trans. Inst. Meas. Control, October, 2023

Subspace-Aided Sensor Fault Diagnosis and Compensation for Industrial Systems.
IEEE Trans. Ind. Electron., September, 2023

Development of a 2 μm Solid-State Laser for Lidar in the Past Decade.
Sensors, August, 2023

Dynamic Viewing Pattern Analysis: Towards Large-Scale Screening of Children With ASD in Remote Areas.
IEEE Trans. Biomed. Eng., May, 2023

AatMatch: Adaptive Adversarial Training in Semi-Supervised Learning Based on Data-Driven Decision-Making Models.
Syst., May, 2023

Multi-level parallel multi-layer block reproducible summation algorithm.
Parallel Comput., February, 2023

A Residual-Driven Secure Transmission and Detection Approach Against Stealthy Cyber-Physical Attacks for Accident Prevention.
IEEE Trans. Inf. Forensics Secur., 2023

Adaptive fractional-order admittance control for force tracking in highly dynamic unknown environments.
Ind. Robot, 2023

MS-UNet-v2: Adaptive Denoising Method and Training Strategy for Medical Image Segmentation with Small Training Data.
CoRR, 2023

MS-UNet: Swin Transformer U-Net with Multi-scale Nested Decoder for Medical Image Segmentation with Small Training Data.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Coordinated Reconstruction Dual-Branch Network for Low-Dose PET Reconstruction.
Proceedings of the Theoretical Computer Science - 41st National Conference, 2023

FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Attack prevention and detection for cyber-physical systems based on coprime factorization technique.
Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023

Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Identification of ASD via Graph Convolutional Network with Visual Semantic Encoding of Saccade.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Outlier Exposure with Focal Loss for Out-of-distribution Detection.
Proceedings of the 6th International Conference on Algorithms, 2023

2022
Proximal Online Gradient Is Optimum for Dynamic Regret: A General Lower Bound.
IEEE Trans. Neural Networks Learn. Syst., 2022

Time-Domain Frequency Estimation With Application to Fault Diagnosis of the Unmanned Aerial Vehicles' Blade Damage.
IEEE Trans. Ind. Electron., 2022

AUC-oriented Graph Neural Network for Fraud Detection.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Improving Energy-Based Out-of-Distribution Detection by Sparsity Regularization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Hybrid Pre-training Based on Masked Autoencoders for Medical Image Segmentation.
Proceedings of the Theoretical Computer Science - 40th National Conference, 2022

Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Sensor Fault Detection, Isolation and Accommodation Based on the Stable Kernel Representation.
Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022

Combining ExtremeNet with Shape Constraints and Re-Discrimination to Detect Cells from CD56 Images.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Dynamic Programming-Based Optimal Charging Scheduling for Electric Vehicles.
Proceedings of the 7th IEEE International Conference on Intelligent Transportation Engineering, 2022

Adaptive Frequency Estimator Based on the Observable Canonical Form.
Proceedings of the IEEE International Conference on Industrial Technology, 2022

Ensemble Learning for Diabetic Foot Ulcer Segmentation based on DFUC2022 Dataset.
Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering, 2022

2021
A Novel Bias-Eliminated Subspace Identification Approach for Closed-Loop Systems.
IEEE Trans. Ind. Electron., 2021

Can neural networks predict dynamics they have never seen?
CoRR, 2021

A New RGB-D Gesture Video Dataset and Its Benchmark Evaluations on Light-Weighted Networks.
Proceedings of the Theoretical Computer Science, 2021

Remaining useful life prediction approach for rolling element bearings based on optimized SVR model with reliable time intervals.
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

Data-Driven Process Monitoring Approach for Closed-Loop Cascade Systems.
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

Recursive Subspace-aided Frequency Estimator Based on the Propagator Method.
Proceedings of the 22nd IEEE International Conference on Industrial Technology, 2021

Enhanced Admittance Control for Time-Varying Force Tracking of Robots in Unknown Environment.
Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

A New RGB-D Gesture Video Dataset for Real-life Scenarios.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

2020
Facial expression recognition with convolutional neural networks via a new face cropping and rotation strategy.
Vis. Comput., 2020

Subspace-Aided Closed-Loop System Identification With Application to DC Motor System.
IEEE Trans. Ind. Electron., 2020

A Robust Data-Driven Fault Detection Approach for Rolling Mills With Unknown Roll Eccentricity.
IEEE Trans. Control. Syst. Technol., 2020

A Data-Driven Fault Diagnosis Approach for Anemometers in Wind Farm.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

Identification of Autism Spectrum Disorder via an Eye-Tracking Based Representation Learning Model.
Proceedings of the ICBRA 2020: 7th International Conference on Bioinformatics Research and Applications, 2020

Blockchain as a Dissipative System and Cognitive Space.
Proceedings of the BSCI '20: Proceedings of the 2nd ACM International Symposium on Blockchain and Secure Critical Infrastructure, 2020

2019
Novel multi-convolutional neural network fusion approach for smile recognition.
Multim. Tools Appl., 2019

A Study of PnP Process Monitoring Technique on Three-Tank System.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

Data-Driven Disturbance Decoupling Fault Tolerant Control for System with Deterministic Disturbance.
Proceedings of the IECON 2019, 2019

Improved Data-Driven SKRs Based Fault Detection for Closed-Loop Systems with Deterministic Disturbance.
Proceedings of the IEEE International Conference on Industrial Technology, 2019

2018
Distributed and asynchronous Stochastic Gradient Descent with variance reduction.
Neurocomputing, 2018

A Data-Driven Process Monitoring Approach for Dynamic Processes with Deterministic Disturbance.
Proceedings of the 27th IEEE International Symposium on Industrial Electronics, 2018

A Data-Driven Method for SKR Identification and Application to Stability Margin Estimation.
Proceedings of the IECON 2018, 2018

Closed-Loop Identification of the Data-Driven SKR with Deterministic Disturbance for Fault Detection.
Proceedings of the IECON 2018, 2018

Cyber-physical system based factory monitoring and fault diagnosis framework with plant-wide performance optimization.
Proceedings of the IEEE Industrial Cyber-Physical Systems, 2018

2017
Complete three-phase detection framework for identifying abnormal cervical cells.
IET Image Process., 2017

Prediction and identification of the effectors of heterotrimeric G proteins in rice (Oryza sativa L.).
Briefings Bioinform., 2017

SVRG with adaptive epoch size.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Automatic cytoplasm and nuclei segmentation for color cervical smear image using an efficient gap-search MRF.
Comput. Biol. Medicine, 2016

Abnormal cervical cell detection based on an adaptive margin-based feature selection method.
Proceedings of the Ninth International Conference on Machine Vision, 2016

2015
Implementation of an Accurate and Efficient Compensated DGEMM for 64-bit ARMv8 Multi-Core Processors.
Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems, 2015

Stencil Computations on HPC-oriented ARMv8 64-Bit Multi-Core Processor.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

2014
HEp-2 cell pattern classification with discriminative dictionary learning.
Pattern Recognit., 2014

Boosting weighted ELM for imbalanced learning.
Neurocomputing, 2014

2013
Extreme Learning Machines.
IEEE Intell. Syst., 2013

The Spoken/Written Language Classification of English Sentences with Bilingual Information.
Proceedings of the Natural Language Processing and Chinese Computing, 2013

A New Image Quality Metric for Image Auto-denoising.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Cytoplasm and nucleus segmentation in cervical smear images using Radiating GVF Snake.
Pattern Recognit., 2012

Multiclass boosting SVM using different texture features in HEp-2 cell staining pattern classification.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
Fast text categorization using concise semantic analysis.
Pattern Recognit. Lett., 2011

Collective Semantic Role Labeling for Tweets with Clustering.
Proceedings of the IJCAI 2011, 2011

Enhancing Semantic Role Labeling for Tweets Using Self-Training.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
An optimal Galerkin scheme to solve the kinematic dynamo eigenvalue problem in a full sphere.
J. Comput. Phys., 2010

SRL-Based Verb Selection for ESL.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Semantic Role Labeling for News Tweets.
Proceedings of the COLING 2010, 2010

Collective Semantic Role Labeling on Open News Corpus by Leveraging Redundancy.
Proceedings of the COLING 2010, 2010


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