Shen-Shyang Ho

Orcid: 0000-0002-0353-7159

According to our database1, Shen-Shyang Ho authored at least 70 papers between 2005 and 2024.

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

Timeline

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Bibliography

2024
Rebalancing Shared Mobility Systems by User Incentive Schemes: State-Action Representation Design and Analysis.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Change Point Detection in Evolving Graph using Martingale.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Poster: Computation Offloading for Precision Agriculture using Cooperative Inference.
Proceedings of the 8th IEEE International Conference on Fog and Edge Computing, 2024

Poster: SplitTracer: A Cooperative Inference Evaluation Toolkit for Computation Offloading on the Edge.
Proceedings of the 8th IEEE International Conference on Fog and Edge Computing, 2024

Poster: A Hybrid-Cloud Autoencoder Ensemble Method for BotNets Detection on Edge Devices.
Proceedings of the 8th IEEE International Conference on Fog and Edge Computing, 2024

2023
Personalized Learning with Limited Data on Edge Devices Using Federated Learning and Meta-Learning.
Proceedings of the IEEE/ACM Symposium on Edge Computing, 2023

Distributed Tracking and Verifying: A Real-Time and High-Accuracy Visual Tracking Edge Computing Framework for Internet of Things.
Proceedings of the IEEE/ACM Symposium on Edge Computing, 2023

Experimental Test-Bed for Computation Offloading for Cooperative Inference on Edge Devices.
Proceedings of the IEEE/ACM Symposium on Edge Computing, 2023

2022
A Novel Quasi-Newton Method for Composite Convex Minimization.
Pattern Recognit., 2022

Representation recovery via L1-norm minimization with corrupted data.
Inf. Sci., 2022

Autoencoder Ensemble Method for Botnets Detection on IOT Devices.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Hierarchical Bitmap Indexing for Range Queries on Multidimensional Arrays.
Proceedings of the Database Systems for Advanced Applications, 2022

2021
Hierarchical Bitmap Indexing for Range and Membership Queries on Multidimensional Arrays.
CoRR, 2021

Optimal N-ary ECOC Matrices for Ensemble Classification.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Handling Rebalancing Problem in Shared Mobility Services via Reinforcement Learning-based Incentive Mechanism.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Comparison of One-Stage Object Detection Models for Weed Detection in Mulched Onions.
Proceedings of the IEEE International Conference on Imaging Systems and Techniques, 2021

Ensemble Learning using Error Correcting Output Codes: New Classification Error Bounds.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Energy Demand Prediction with Optimized Clustering-Based Federated Learning.
Proceedings of the IEEE Global Communications Conference, 2021

2020
Assessing Accident Risk using Ordinal Regression and Multinomial Logistic Regression Data Generation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

An Error-Correcting Output Code Framework for Lifelong Learning without a Teacher.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

2019
Bayesian-based Anonymization Framework against Background Knowledge Attack in Continuous Data Publishing.
Trans. Data Priv., 2019

N-ary decomposition for multi-class classification.
Mach. Learn., 2019

Improving Bayesian network local structure learning via data-driven symmetry correction methods.
Int. J. Approx. Reason., 2019

A Martingale-Based Approach for Flight Behavior Anomaly Detection.
Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019

Detecting (Unusual) Events in Urban Areas using Bike-Sharing Data.
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Analytics for Local Events and News, 2019

2018
ParkLoc: Light-weight Graph-based Vehicular Localization in Parking Garages.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Visual Analytics for Real-Time Flight Behavior Threat Assessment.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Structural knowledge transfer for learning Sum-Product Networks.
Knowl. Based Syst., 2017

A fast sparse reconstruction approach for high resolution image-based object surface anomaly detection.
Proceedings of the Fifteenth IAPR International Conference on Machine Vision Applications, 2017

2016
Manifold Learning for Multivariate Variable-Length Sequences With an Application to Similarity Search.
IEEE Trans. Neural Networks Learn. Syst., 2016

An efficient regularized K-nearest neighbor based weighted twin support vector regression.
Knowl. Based Syst., 2016

N-ary Error Correcting Coding Scheme.
CoRR, 2016

Robust energy-based least squares twin support vector machines.
Appl. Intell., 2016

ParkGauge: Gauging the Occupancy of Parking Garages with Crowdsensed Parking Characteristics.
Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016

Is overfeat useful for image-based surface defect classification tasks?
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Exploiting sparsity for image-based object surface anomaly detection.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Transfer Learning for Cross-Language Text Categorization through Active Correspondences Construction.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
ML-TREE: A Tree-Structure-Based Approach to Multilabel Learning.
IEEE Trans. Neural Networks Learn. Syst., 2015

Sequential behavior prediction based on hybrid similarity and cross-user activity transfer.
Knowl. Based Syst., 2015

Multi-Label Regularized Generative Model for Semi-Supervised Collective Classification in Large-Scale Networks.
Big Data Res., 2015

Poster: ParkGauge: Gauging the Congestion Level of Parking Garages with Crowdsensed Parking Characteristics.
Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, 2015

A SciDB-based Framework for Efficient Satellite Data Storage and Query based on Dynamic Atmospheric Event Trajectory.
Proceedings of the 4th International ACM SIGSPATIAL Workshop on Analytics for Big Geospatial Data, 2015

Stochastic location optimization in a dynamic environment.
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015

2014
ForesTexter: An efficient random forest algorithm for imbalanced text categorization.
Knowl. Based Syst., 2014

Collective prediction of protein functions from protein-protein interaction networks.
BMC Bioinform., 2014

A Generative Model with Network Regularization for Semi-Supervised Collective Classification.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

A Smartphone User Activity Prediction Framework Utilizing Partial Repetitive and Landmark Behaviors.
Proceedings of the IEEE 15th International Conference on Mobile Data Management, 2014

Robust prediction in nearly periodic time series using motifs.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Traffic incident validation and correlation using text alerts and images.
Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2014

2013
Preserving Privacy for Interesting Location Pattern Mining from Trajectory Data.
Trans. Data Priv., 2013

Predicting Mobile Call Behavior via Subspace Methods.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013

Cluster tree based multi-label classification for protein function prediction.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
Preserving privacy for moving objects data mining.
Proceedings of the 2012 IEEE International Conference on Intelligence and Security Informatics, 2012

An effective vortex detection approach for velocity vector field.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Mining future spatiotemporal events and their sentiment from online news articles for location-aware recommendation system.
Proceedings of the First ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems, 2012

Mining multivariate spatiotemporal patterns from heterogeneous mobility data.
Proceedings of the SIGSPATIAL 2012 International Conference on Advances in Geographic Information Systems (formerly known as GIS), 2012

2011
Intelligent Evidence-Based Management for Data Collection and Decision-Making Using Algorithmic Randomness and Active Learning.
Intell. Inf. Manag., 2011

Differential privacy for location pattern mining.
Proceedings of the 4th ACM SIGSPATIAL International Workshop on Security and Privacy in GIS and LBS, 2011

2010
A Martingale Framework for Detecting Changes in Data Streams by Testing Exchangeability.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

A Framework for Moving Sensor Data Query and Retrieval of Dynamic Atmospheric Events.
Proceedings of the Scientific and Statistical Database Management, 2010

Tropical cyclone event sequence similarity search via dimensionality reduction and metric learning.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009
Cyclone tracking using multiple satellite image sources.
Proceedings of the 17th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2009

2008
Query by Transduction.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Automated cyclone discovery and tracking using knowledge sharing in multiple heterogeneous satellite data.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007
Support vector machine via nonlinear rescaling method.
Optim. Lett., 2007

Detecting Changes in Unlabeled Data Streams Using Martingale.
Proceedings of the IJCAI 2007, 2007

Confident Identification of Relevant Objects Based on Nonlinear Rescaling Method and Transductive Inference.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2005
On the Detection of Concept Changes in Time-Varying Data Stream by Testing Exchangeability.
Proceedings of the UAI '05, 2005

Adaptive Support Vector Machine for Time-Varying Data Streams Using Martingale.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

A martingale framework for concept change detection in time-varying data streams.
Proceedings of the Machine Learning, 2005


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