Fan Lin

Orcid: 0000-0003-2530-859X

According to our database1, Fan Lin authored at least 89 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Survey on Reinforcement Learning for Recommender Systems.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Co-learning-assisted progressive dense fusion network for cardiovascular disease detection using ECG and PCG signals.
Expert Syst. Appl., March, 2024

Knowledge-aware reasoning with self-supervised reinforcement learning for explainable recommendation in MOOCs.
Neural Comput. Appl., 2024

IDGen: Item Discrimination Induced Prompt Generation for LLM Evaluation.
CoRR, 2024

Evolutionary Reinforcement Learning: A Systematic Review and Future Directions.
CoRR, 2024

Enhance Volatility of Denormalized Predictions in Time Series Forecasting.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Asformer: Learning From Adjacent Scale.
Proceedings of the IEEE International Conference on Acoustics, 2024

Trend-Heuristic Reinforcement Learning Framework for News-Oriented Stock Portfolio Management.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Multi-scale reinforced profile for personalized recommendation with deep neural networks in MOOCs.
Appl. Soft Comput., November, 2023

TransIntegrator: capture nearly full protein-coding transcript variants via integrating Illumina and PacBio transcriptomes.
Briefings Bioinform., September, 2023

Self-label correction for image classification with noisy labels.
Pattern Anal. Appl., August, 2023

DistVAE: Distributed Variational Autoencoder for sequential recommendation.
Knowl. Based Syst., March, 2023

A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining.
CoRR, 2023

Multi-Domain Feature Representation, Multi-Dimensional Feature Interaction for Person-Job Fit.
Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

mTrader: A Multi-Scale Signal Optimization Deep Reinforcement Learning Framework for Financial Trading (S).
Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

Prior Guided 3D Medical Image Landmark Localization.
Proceedings of the Medical Imaging with Deep Learning, 2023

Diffusion Model for Camouflaged Object Detection.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
Identification and Mapping of High Nature Value Farmland in the Yellow River Delta Using Landsat-8 Multispectral Data.
ISPRS Int. J. Geo Inf., December, 2022

Semi-Supervised Learning for Automatic Atrial Fibrillation Detection in 24-Hour Holter Monitoring.
IEEE J. Biomed. Health Informatics, 2022

Relation-aware dynamic attributed graph attention network for stocks recommendation.
Pattern Recognit., 2022

Hierarchical reinforcement learning with dynamic recurrent mechanism for course recommendation.
Knowl. Based Syst., 2022

Federated low-rank tensor projections for sequential recommendation.
Knowl. Based Syst., 2022

MBRep: Motif-based representation learning in heterogeneous networks.
Expert Syst. Appl., 2022

Multi-scale Attention Flow for Probabilistic Time Series Forecasting.
CoRR, 2022

GCNCPR-ACPs: a novel graph convolution network method for ACPs prediction.
BMC Bioinform., 2022

Self-Supervised Reinforcement Learning with dual-reward for knowledge-aware recommendation.
Appl. Soft Comput., 2022

Context-aware reinforcement learning for course recommendation.
Appl. Soft Comput., 2022

Kernel-based Hybrid Interpretable Transformer for High-frequency Stock Movement Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2022

A Correlational Strategy for the Prediction of High-Dimensional Stock Data by Neural Networks and Technical Indicators.
Proceedings of the Big Data and Security - 4th International Conference, 2022

Multi-parametric Magnetic Resonance Imaging Fusion for Automatic Classification of Prostate Cancer.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
A dynamic priority strategy for IoV data scheduling towards key data.
J. Supercomput., 2021

Self-Ensembling Co-Training Framework for Semi-Supervised COVID-19 CT Segmentation.
IEEE J. Biomed. Health Informatics, 2021

DeepBAN: A Temporal Convolution-Based Communication Framework for Dynamic WBANs.
IEEE Trans. Commun., 2021

A Deep Segmentation Network of Multi-Scale Feature Fusion Based on Attention Mechanism for IVOCT Lumen Contour.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Adaptive course recommendation in MOOCs.
Knowl. Based Syst., 2021

Information Flow Network of International Exchange Rates and Influence of Currencies.
Entropy, 2021

Transfer Learning Based Multi-Objective Evolutionary Algorithm for Community Detection of Dynamic Complex Networks.
CoRR, 2021

A Survey on Reinforcement Learning for Recommender Systems.
CoRR, 2021

NeuRank: learning to rank with neural networks for drug-target interaction prediction.
BMC Bioinform., 2021

MicroHECL: High-Efficient Root Cause Localization in Large-Scale Microservice Systems.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2021

Temporal Convolution Network Based on Attention for Intelligent Anomaly Detection of Wind Turbine Blades.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

2020
Urban Traffic Signal Control Based on Multiobjective Joint Optimization.
Sci. Program., 2020

Trajectory optimization and resource allocation for UAV base stations under in-band backhaul constraint.
EURASIP J. Wirel. Commun. Netw., 2020

Prerequisite Relation Learning for Course Concepts Based on Hyperbolic Deep Representation.
IEEE Access, 2020

Task-Guided Context-Path Embedding in Temporal Heterogeneous Networks.
IEEE Access, 2020

Detection of Abnormal Behavior Based on the Scene of Anti-photographing.
Proceedings of the Intelligent Computing Theories and Application, 2020

2019
Sparse online collaborative filtering with dynamic regularization.
Inf. Sci., 2019

An Efficient Image Reconstruction Framework Using Total Variation Regularization with Lp-Quasinorm and Group Gradient Sparsity.
Inf., 2019

Patient-Specific Coronary Artery 3D Printing Based on Intravascular Optical Coherence Tomography and Coronary Angiography.
Complex., 2019

A Life Cycle Framework of Green IoT-Based Agriculture and Its Finance, Operation, and Management Issues.
IEEE Commun. Mag., 2019

Image Deblurring under Impulse Noise via Total Generalized Variation and Non-Convex Shrinkage.
Algorithms, 2019

Optimized Algorithm for RFID-Based Activity Recognition of the Elderly.
IEEE Access, 2019

Predicting of Associations Between MicroRNA and Human Diseases Based on Multiple Similarities and Arbitrarily-Order Proximity Network Embedding.
IEEE Access, 2019

Deep Probabilistic Matrix Factorization Framework for Online Collaborative Filtering.
IEEE Access, 2019

Utility-Based Stable Matching For Large Scale EH Relay Networks With Finite-Alphabet Inputs.
IEEE Access, 2019

2018
Proactive Eavesdropping via Pilot Contamination and Jamming.
Wirel. Pers. Commun., 2018

Wireless Powered Cooperative Jamming for Secure OFDM System.
IEEE Trans. Veh. Technol., 2018

Multi-datacenter cloud storage service selection strategy based on AHP and backward cloud generator model.
Neural Comput. Appl., 2018

Chinese Character CAPTCHA Recognition and performance estimation via deep neural network.
Neurocomputing, 2018

Accurate geometry modeling of vasculatures using implicit fitting with 2D radial basis functions.
Comput. Aided Geom. Des., 2018

Confidence-weighted bias model for online collaborative filtering.
Appl. Soft Comput., 2018

2017
Multiobjective Evolutionary Algorithm Based on Nondominated Sorting and Bidirectional Local Search for Big Data.
IEEE Trans. Ind. Informatics, 2017

Cloud computing system risk estimation and service selection approach based on cloud focus theory.
Neural Comput. Appl., 2017

Multi-kernel learning for multivariate performance measures optimization.
Neural Comput. Appl., 2017

A MOEA/D-based multi-objective optimization algorithm for remote medical.
Neurocomputing, 2017

Research on Techniques of Multifeatures Extraction for Tongue Image and Its Application in Retrieval.
Comput. Math. Methods Medicine, 2017

An artificial neural network approach for screening test escapes.
Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017

2016
Learning from Production Test Data: From Statistical Characterization to Modeling for Anomaly Detection
PhD thesis, 2016

TCM clinic records data mining approaches based on weighted-LDA and multi-relationship LDA model.
Multim. Tools Appl., 2016

An efficient estimation method coping with the capture effect for RFID tags identification and application in remote learning.
J. Intell. Fuzzy Syst., 2016

Sparse Online Learning for Collaborative Filtering.
Int. J. Comput. Commun. Control, 2016

2015
AdaTest: An efficient statistical test framework for test escape screening.
Proceedings of the 2015 IEEE International Test Conference, 2015

Pairwise Proximity-Based Features for Test Escape Screening.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015

2014
Feature engineering with canonical analysis for effective statistical tests screening test escapes.
Proceedings of the 2014 International Test Conference, 2014

English sentence pronunciation evaluation using rhythm and intonation.
Proceedings of the 2nd International Conference on Systems and Informatics, 2014

Joint Virtual Probe: Joint exploration of multiple test items' spatial patterns for efficient silicon characterization and test prediction.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2014

Learning from Production Test Data: Correlation Exploration and Feature Engineering.
Proceedings of the 23rd IEEE Asian Test Symposium, 2014

2013
Test data analytics - Exploring spatial and test-item correlations in production test data.
Proceedings of the 2013 IEEE International Test Conference, 2013

2011
Optimizing for Large Time Delay Systems by BP Neural Network and Evolutionary Algorithm Improving.
J. Softw., 2011

An Encoding and Labeling Scheme Based on Continued Fraction for Dynamic XML.
J. Softw., 2011

2010
A Cloud Tracing and Filtering Framework for Defensing Against Denial of Service Attacks.
J. Digit. Content Technol. its Appl., 2010

2009
A Novel Spatio-temporal Clustering Approach by Process Similarity.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

The Embedded Product Testing Using Cleanroom Statistical Method.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

2007
Discovery of Teleconnections Using Data Mining Technologies in Global Climate Datasets.
Data Sci. J., 2007

An Efficient High Dimensional Cluster Method and its Application in Global Climate Sets.
Data Sci. J., 2007

2003
Ubiquitous media agents: a framework for managing personally accumulated multimedia files.
Multim. Syst., 2003

2002
User Intention Modelling in Web Applications Using Data Mining.
World Wide Web, 2002

2001
User Modeling for Efficient Use of Multimedia Files.
Proceedings of the Advances in Multimedia Information Processing, 2001

Ubiquitous media agents for managing personal multimedia files.
Proceedings of the 9th ACM International Conference on Multimedia 2001, Ottawa, Ontario, Canada, September 30, 2001


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