Long Jin

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Distributed k-Winner-Take-All Network Under Weight-Unbalanced Topology.
IEEE Trans. Circuits Syst. II Express Briefs, February, 2024

An Online Learning Strategy for Echo State Network.
IEEE Trans. Syst. Man Cybern. Syst., January, 2024

Thaw Slump Susceptibility Mapping Based on Sample Optimization and Ensemble Learning Techniques in Qinghai-Tibet Railway Corridor.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023
Serialized Recommendation Prediction for Steering Point Behavior of Intelligent Transportation Vehicles Based on Deep Learning.
IEEE Trans. Intell. Transp. Syst., November, 2023

NodeMixup: Tackling Under-Reaching for Graph Neural Networks.
CoRR, 2023

Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems.
CoRR, 2023

Reliable Academic Conference Question Answering: A Study Based on Large Language Model.
CoRR, 2023

Asymmetric Co-Training with Explainable Cell Graph Ensembling for Histopathological Image Classification.
CoRR, 2023

A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule Learning.
Proceedings of the Semantic Web - ISWC 2023, 2023

2022
Convergence and robustness of bounded recurrent neural networks for solving dynamic Lyapunov equations.
Inf. Sci., 2022

2021
A novel enhanced isolation microstrip dual-polarization patch antenna.
IEICE Electron. Express, 2021

Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Decoupling the Depth and Scope of Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Balancing Consistency and Disparity in Network Alignment.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Blind Image Deblurring Based on Local Rank.
Mob. Networks Appl., 2020

Revisiting Graph Neural Networks for Link Prediction.
CoRR, 2020

Analytical Modeling and Performance Study of a Piezoelectric Laminated Annular Plate for Rotary Energy Harvesting.
IEEE Access, 2020

Electromechanical Equivalent Circuit Model of a Piezoelectric Disk Considering Three Internal Losses.
IEEE Access, 2020

Design of SIW Filter Based on the Equivalent De-embedding Technique and Inverse Neural Network.
Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020

2019
Control Strategy for Dynamic Voltage Restorer Under Distorted and Unbalanced Voltage Conditions.
Proceedings of the IEEE International Conference on Industrial Technology, 2019

2018
Labeling Transformation and Introspective Learning with Convolutional Nets.
PhD thesis, 2018

Vegetation Changes along the Qinghai-Tibet Plateau Engineering Corridor Since 2000 Induced by Climate Change and Human Activities.
Remote. Sens., 2018

2017
Formation and Applications of the Secondary Fiber Bragg Grating.
Sensors, 2017

Introspective Generative Modeling: Decide Discriminatively.
CoRR, 2017

Introspective Classifier Learning: Empower Generatively.
CoRR, 2017

Early Detection of Configuration Errors to Reduce Failure Damage.
Proceedings of the 2017 USENIX Annual Technical Conference, 2017

Introspective Classification with Convolutional Nets.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Introspective Neural Networks for Generative Modeling.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Application of Adaptive Genetic Algorithm for Multimodal Transportation Logistics Distribution Routing Problem.
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017

2016
Automatic Recognition of Aggressive Behavior in Pigs Using a Kinect Depth Sensor.
Sensors, 2016

Design of LPF using Hi-Lo interdigital DGS slot.
IEICE Electron. Express, 2016

Object Detection Free Instance Segmentation With Labeling Transformations.
CoRR, 2016

Compact dual-polarized UWB-MIMO antenna with two band-notched function.
Proceedings of the 2nd International Conference on Communication and Information Processing, 2016

2015
A Revised Temporal Scaling Method to Yield Better ET Estimates at a Regional Scale.
Remote. Sens., 2015

Evolving RBF neural networks for rainfall prediction using hybrid particle swarm optimization and genetic algorithm.
Neurocomputing, 2015

Novel design of substrate integrated waveguide filter employing broadside-coupled complementary split ring resonators.
IEICE Electron. Express, 2015

Semantic Matching in APP Search.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Hey, you have given me too many knobs!: understanding and dealing with over-designed configuration in system software.
Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering, 2015

2014
A High-Sensitivity Current Sensor Utilizing CrNi Wire and Microfiber Coils.
Sensors, 2014

2013
Understanding user behavior in online social networks: a survey.
IEEE Commun. Mag., 2013

Optimizing background email sync on smartphones.
Proceedings of the 11th Annual International Conference on Mobile Systems, 2013

2012
A novel hybrid genetic algorithm and Simulated Annealing for feature selection and kernel optimization in support vector regression.
Proceedings of the IEEE 13th International Conference on Information Reuse & Integration, 2012

Ensemble prediction of monthly mean rainfall with a Particle Swarm Optimization-neural network model.
Proceedings of the IEEE 13th International Conference on Information Reuse & Integration, 2012

An Application of Ensemble Prediction for Typhoon Intensity Based on MDS and PSO-ANN.
Proceedings of the Fifth International Joint Conference on Computational Sciences and Optimization, 2012

An Neural Network Ensemble approach based on PSO algorithm and LLE for Typhoon Intensity.
Proceedings of the Fifth International Joint Conference on Computational Sciences and Optimization, 2012

An Algorithm for Global Optimization Problems Based on ABC-BFGS.
Proceedings of the Fifth International Joint Conference on Computational Sciences and Optimization, 2012

A Particle Swarm Optimization-Neural Network Prediction Model for Typhoon Intensity Based on Isometric Mapping Algorithm.
Proceedings of the Fifth International Joint Conference on Computational Sciences and Optimization, 2012

A Genetic-Neural Network Model Based on Multidimensional Scaling for Typhoon Intensity.
Proceedings of the Fifth International Joint Conference on Computational Sciences and Optimization, 2012

2011
Albatross sampling: robust and effective hybrid vertex sampling for social graphs.
Proceedings of the 3rd ACM International Workshop on Hot Topics in Planet-scale Measurement, 2011

Understanding Graph Sampling Algorithms for Social Network Analysis.
Proceedings of the 31st IEEE International Conference on Distributed Computing Systems Workshops (ICDCS 2011 Workshops), 2011

Evaluating Roving Patrol Effectiveness by GPS Trajectory.
Proceedings of the IEEE Ninth International Conference on Dependable, 2011

2010
A Hybrid Support Vector Regression Approach for Rainfall Forecasting Using Particle Swarm Optimization and Projection Pursuit Technology.
Int. J. Comput. Intell. Appl., 2010

2009
A Convergence Proof for Ant Colony Algorithm.
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009

A Neural Network Ensemble Prediction Model Based on MGF and PLS for Drought and Waterlogging Disasters in Short-Range Climate.
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009

2008
Microstructured optical fiber Bragg gratings and their applications.
Proceedings of the 2008 International Conference on Advanced Infocomm Technology, 2008

Application of calendar-based temporal classification to forecast customer load patterns from load demand data.
Proceedings of 8th IEEE International Conference on Computer and Information Technology, 2008

2007
A Numerical Prediction Product FNN Prediction Model Based on Condition Number and Analog Deviation.
Proceedings of the 8th ACIS International Conference on Software Engineering, 2007

Prediction of Frequent Items to One Dimensional Stream Data.
Proceedings of the Selected Papers of the Fifth International Conference on, 2007

Frequent Pattern Mining using Bipartite Graph.
Proceedings of the 18th International Workshop on Database and Expert Systems Applications (DEXA 2007), 2007

Mining Recent Frequent Itemsets over Data Streams with a Time-Sensitive Sliding Window.
Proceedings of the Advances in Web and Network Technologies, and Information Management, 2007

Mining Frequent Itemsets over Data Streams with Multiple Time-Sensitive Sliding Windows.
Proceedings of The Sixth International Conference on Advanced Language Processing and Web Information Technology, 2007

2006
Discovery of Temporal Frequent Patterns Using TFP-Tree.
Proceedings of the Advances in Web-Age Information Management, 2006

Modeling Meteorological Prediction Using Particle Swarm Optimization and Neural Network Ensemble.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005
An Efficient Range Query Under the Time Warping Distance.
Proceedings of the Computational Intelligence and Security, International Conference, 2005

2004
Similarity Pattern Discovery Using Calendar Concept Hierarchy in Time Series Data.
Proceedings of the Advanced Web Technologies and Applications, 2004


  Loading...