Transductive confidence machine for active learning. - Shen-Shyang Ho; Harry Wechsler (IJCNN, 2003)

A martingale framework for concept change detection in time-varying data streams. - Shen-Shyang Ho (ICML, 2005)

Adaptive Support Vector Machine for Time-Varying Data Streams Using Martingale. - Shen-Shyang Ho; Harry Wechsler (IJCAI, 2005)

On the Detection of Concept Changes in Time-Varying Data Stream by Testing Exchangeability. - Shen-Shyang Ho; Harry Wechsler (UAI, 2005)

Confident Identification of Relevant Objects Based on Nonlinear Rescaling Method and Transductive Inference. - Shen-Shyang Ho; Roman A. Polyak (ICDM, 2007)

Detecting Changes in Unlabeled Data Streams Using Martingale. - Shen-Shyang Ho; Harry Wechsler (IJCAI, 2007)

Support vector machine via nonlinear rescaling method. - Roman A. Polyak; Shen-Shyang Ho; Igor Griva (Optim. Lett., 2007)

Automated cyclone discovery and tracking using knowledge sharing in multiple heterogeneous satellite data. - Shen-Shyang Ho; Ashit Talukder (KDD, 2008)

Query by Transduction. - Shen-Shyang Ho; Harry Wechsler (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Cyclone tracking using multiple satellite image sources. - Anand V. Panangadan; Shen-Shyang Ho; Ashit Talukder (GIS, 2009)

Tropical cyclone event sequence similarity search via dimensionality reduction and metric learning. - Shen-Shyang Ho; Wenqing Tang; W. Timothy Liu (KDD, 2010)

A Framework for Moving Sensor Data Query and Retrieval of Dynamic Atmospheric Events. - Shen-Shyang Ho; Wenqing Tang; W. Timothy Liu; Markus Schneider 001 (SSDBM, 2010)

A Martingale Framework for Detecting Changes in Data Streams by Testing Exchangeability. - Shen-Shyang Ho; Harry Wechsler (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Differential privacy for location pattern mining. - Shen-Shyang Ho; Shuhua Ruan (SPRINGL, 2011)

Intelligent Evidence-Based Management for Data Collection and Decision-Making Using Algorithmic Randomness and Active Learning. - Harry Wechsler; Shen-Shyang Ho (Intell. Inf. Manag., 2011)

Mining multivariate spatiotemporal patterns from heterogeneous mobility data. - Shen-Shyang Ho (SIGSPATIAL/GIS, 2012)

Mining future spatiotemporal events and their sentiment from online news articles for location-aware recommendation system. - Shen-Shyang Ho; Mike Lieberman; Pu Wang; Hanan Samet (MobiGIS, 2012)

An effective vortex detection approach for velocity vector field. - Shen-Shyang Ho (ICPR, 2012)

Preserving privacy for moving objects data mining. - Shen-Shyang Ho (ISI, 2012)

Cluster tree based multi-label classification for protein function prediction. - Qingyao Wu; Yunming Ye; Xiaofeng Zhang 002; Shen-Shyang Ho (BIBM, 2013)

Predicting Mobile Call Behavior via Subspace Methods. - Peng Dai 002; Wanqing Yang; Shen-Shyang Ho (SBP, 2013)

Preserving Privacy for Interesting Location Pattern Mining from Trajectory Data. - Shen-Shyang Ho; Shuhua Ruan (Trans. Data Priv., 2013)

Traffic incident validation and correlation using text alerts and images. - Wye Huong Yan; Justin Ong; Shen-Shyang Ho; Jim Cherian (SIGSPATIAL/GIS, 2014)

Robust prediction in nearly periodic time series using motifs. - Woon Huei Chai; Hongliang Guo; Shen-Shyang Ho (IJCNN, 2014)

A Smartphone User Activity Prediction Framework Utilizing Partial Repetitive and Landmark Behaviors. - Peng Dai 002; Shen-Shyang Ho (MDM (1), 2014)

A Generative Model with Network Regularization for Semi-Supervised Collective Classification. - Ruichao Shi; Qingyao Wu; Yunming Ye; Shen-Shyang Ho (SDM, 2014)

Collective prediction of protein functions from protein-protein interaction networks. - Qingyao Wu; Yunming Ye; Michael K. Ng 001; Shen-Shyang Ho; Ruichao Shi (BMC Bioinform., 2014)

ForesTexter: An efficient random forest algorithm for imbalanced text categorization. - Qingyao Wu; Yunming Ye; Haijun Zhang 002; Michael K. Ng 001; Shen-Shyang Ho (Knowl. Based Syst., 2014)

Stochastic location optimization in a dynamic environment. - Hongliang Guo; Yubo Dong; Shen-Shyang Ho (SIGSPATIAL/GIS, 2015)

A SciDB-based Framework for Efficient Satellite Data Storage and Query based on Dynamic Atmospheric Event Trajectory. - Lubos Krcál; Shen-Shyang Ho (BigSpatial@SIGSPATIAL, 2015)

Poster: ParkGauge: Gauging the Congestion Level of Parking Garages with Crowdsensed Parking Characteristics. - Jim Cherian; Jun Luo 001; Hongliang Guo; Shen-Shyang Ho; Richard Wisbrun (SenSys, 2015)

Multi-Label Regularized Generative Model for Semi-Supervised Collective Classification in Large-Scale Networks. - Qingyao Wu; Jian Chen 011; Shen-Shyang Ho; Xutao Li; Huaqing Min; Chao Han 002 (Big Data Res., 2015)

Sequential behavior prediction based on hybrid similarity and cross-user activity transfer. - Peng Dai 002; Shen-Shyang Ho; Frank Rudzicz (Knowl. Based Syst., 2015)

ML-TREE: A Tree-Structure-Based Approach to Multilabel Learning. - Qingyao Wu; Yunming Ye; Haijun Zhang 002; Tommy W. S. Chow; Shen-Shyang Ho (IEEE Trans. Neural Networks Learn. Syst., 2015)

Transfer Learning for Cross-Language Text Categorization through Active Correspondences Construction. - Joey Tianyi Zhou; Sinno Jialin Pan; Ivor W. Tsang; Shen-Shyang Ho (AAAI, 2016)

Exploiting sparsity for image-based object surface anomaly detection. - Woon Huei Chai; Shen-Shyang Ho; Chi-Keong Goh (ICASSP, 2016)

Is overfeat useful for image-based surface defect classification tasks? - Pei-Hung Chen; Shen-Shyang Ho (ICIP, 2016)

ParkGauge: Gauging the Occupancy of Parking Garages with Crowdsensed Parking Characteristics. - Jim Cherian; Jun Luo 001; Hongliang Guo; Shen-Shyang Ho; Richard Wisbrun (MDM, 2016)

Robust energy-based least squares twin support vector machines. - Muhammad Tanveer 001; Mohammad Asif Khan 001; Shen-Shyang Ho (Appl. Intell., 2016)

N-ary Error Correcting Coding Scheme. - Joey Tianyi Zhou; Ivor W. Tsang; Shen-Shyang Ho; Klaus-Robert Müller (CoRR, 2016)

An efficient regularized K-nearest neighbor based weighted twin support vector regression. - Muhammad Tanveer 001; K. Shubham; Mujahed Aldhaifallah; Shen-Shyang Ho (Knowl. Based Syst., 2016)

Manifold Learning for Multivariate Variable-Length Sequences With an Application to Similarity Search. - Shen-Shyang Ho; Peng Dai 002; Frank Rudzicz (IEEE Trans. Neural Networks Learn. Syst., 2016)

A fast sparse reconstruction approach for high resolution image-based object surface anomaly detection. - Woon Huei Chai; Shen-Shyang Ho; Chi-Keong Goh; Liang-Tien Chia; Hiok Chai Quek (MVA, 2017)

Structural knowledge transfer for learning Sum-Product Networks. - Jianjun Zhao; Shen-Shyang Ho (Knowl. Based Syst., 2017)

Visual Analytics for Real-Time Flight Behavior Threat Assessment. - Bo Beth Sun; Eric Zielonka; Aleksandr Fritz; Matthew Schofield; Brennan Ringel; Brendan Armstrong; Shen-Shyang Ho; Anthony F. Breitzman; Jason Snouffer; Jean Kirschner; Kimberly Davis (IEEE BigData, 2018)

ParkLoc: Light-weight Graph-based Vehicular Localization in Parking Garages. - Jim Cherian; Jun Luo 001; Shen-Shyang Ho (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Detecting (Unusual) Events in Urban Areas using Bike-Sharing Data. - Alex Lam; Matthew Schofield; Shen-Shyang Ho (LENS@SIGSPATIAL, 2019)

A Martingale-Based Approach for Flight Behavior Anomaly Detection. - Shen-Shyang Ho; Matthew Schofield; Bo Sun; Jason Snouffer; Jean Kirschner (MDM, 2019)

Improving Bayesian network local structure learning via data-driven symmetry correction methods. - Jianjun Zhao; Shen-Shyang Ho (Int. J. Approx. Reason., 2019)

N-ary decomposition for multi-class classification. - Joey Tianyi Zhou; Ivor W. Tsang; Shen-Shyang Ho; Klaus-Robert Müller (Mach. Learn., 2019)

Bayesian-based Anonymization Framework against Background Knowledge Attack in Continuous Data Publishing. - Fatemeh Amiri; Nasser Yazdani; Azadeh Shakery; Shen-Shyang Ho (Trans. Data Priv., 2019)

An Error-Correcting Output Code Framework for Lifelong Learning without a Teacher. - Shen-Shyang Ho; Mathew Marchiano; Scott Zockoll; Hieu D. Nguyen (ICTAI, 2020)

Assessing Accident Risk using Ordinal Regression and Multinomial Logistic Regression Data Generation. - Gulsum Alicioglu; Bo Sun; Shen-Shyang Ho (IJCNN, 2020)

Energy Demand Prediction with Optimized Clustering-Based Federated Learning. - Dylan Perry; Ning Wang 018; Shen-Shyang Ho (GLOBECOM, 2021)

Ensemble Learning using Error Correcting Output Codes: New Classification Error Bounds. - Hieu D. Nguyen; Mohammed Sarosh Khan; Nicholas Kaegi; Shen-Shyang Ho; Jonathan Moore; Logan Borys; Lucas Lavalva (ICTAI, 2021)

Comparison of One-Stage Object Detection Models for Weed Detection in Mulched Onions. - Paolo Rommel Sanchez; Hong Zhang; Shen-Shyang Ho; Eldon De Padua (IST, 2021)

Handling Rebalancing Problem in Shared Mobility Services via Reinforcement Learning-based Incentive Mechanism. - Matthew Schofield; Shen-Shyang Ho; Ning Wang 018 (ITSC, 2021)

Optimal N-ary ECOC Matrices for Ensemble Classification. - Hieu D. Nguyen; Lucas J. Lavalva; Shen-Shyang Ho; Mohammed Sarosh Khan; Nicholas Kaegi (SSCI, 2021)

Hierarchical Bitmap Indexing for Range and Membership Queries on Multidimensional Arrays. - Lubos Krcál; Shen-Shyang Ho; Jan Holub 001 (CoRR, 2021)

Hierarchical Bitmap Indexing for Range Queries on Multidimensional Arrays. - Lubos Krcál; Shen-Shyang Ho; Jan Holub 001 (DASFAA (1), 2022)

Autoencoder Ensemble Method for Botnets Detection on IOT Devices. - Steven E. Arroyo; Shen-Shyang Ho (ICMLA, 2022)

Representation recovery via L1-norm minimization with corrupted data. - Woon Huei Chai; Shen-Shyang Ho; Hiok Chai Quek (Inf. Sci., 2022)

A Novel Quasi-Newton Method for Composite Convex Minimization. - Woon Huei Chai; Shen-Shyang Ho; Hiok Chai Quek (Pattern Recognit., 2022)

Experimental Test-Bed for Computation Offloading for Cooperative Inference on Edge Devices. - Nicholas Bovee; Stephen Piccolo; Shen-Shyang Ho; Ning Wang 018 (SEC, 2023)

Distributed Tracking and Verifying: A Real-Time and High-Accuracy Visual Tracking Edge Computing Framework for Internet of Things. - Purva Makarand Mhasakar; Kevin Bhadresh Doshi; Ning Wang 018; Shen-Shyang Ho; Haibin Ling (SEC, 2023)

Personalized Learning with Limited Data on Edge Devices Using Federated Learning and Meta-Learning. - Kousalya Soumya Lahari Voleti; Shen-Shyang Ho (SEC, 2023)

Poster: A Hybrid-Cloud Autoencoder Ensemble Method for BotNets Detection on Edge Devices. - Steven E. Arroyo; Shen-Shyang Ho (ICFEC, 2024)

Poster: SplitTracer: A Cooperative Inference Evaluation Toolkit for Computation Offloading on the Edge. - Nicholas Bovee; Stephen Piccolo; Suraj Bitla; Gopi Krishna Patapanchala; Shen-Shyang Ho (ICFEC, 2024)

Poster: Computation Offloading for Precision Agriculture using Cooperative Inference. - Nicholas Bovee; Paolo Rommel Sanchez; Shen-Shyang Ho; Suraj Bitla; Gopi Krishna Patapanchala; Stephen Piccolo (ICFEC, 2024)

Change Point Detection in Evolving Graph using Martingale. - Shen-Shyang Ho; Tarun Teja Kairamkonda (SAC, 2024)

Rebalancing Shared Mobility Systems by User Incentive Schemes: State-Action Representation Design and Analysis. - Matthew Schofield; Ning Wang 018; Shen-Shyang Ho (SAC, 2024)

Quantifying the Risk of Out-of-Gas Conditions in Ethereum Smart Contracts. - Maryam Massoud Ahmed; Michael Lim; Xiaorui Liu; Shen-Shyang Ho; Nikolay Ivanov (ICAIC, 2025)

SplitTracr: A Flexible Performance Evaluation Tool for Cooperative Inference and Split Computing. - Nicholas Bovee; Izhar Ali; Suraj Bitla; Gopi Krishna Patapanchala; Shen-Shyang Ho (ICPE (Companion), 2025)

Detecting and explaining structural changes in an evolving graph using a martingale. - Shen-Shyang Ho; Tarun Teja Kairamkonda; Izhar Ali (Pattern Recognit., 2026)