| 2025 | ICDM | Split Inference for Precision Agriculture. | Izhar Ali, Nicholas Bovee, Suraj Bitla, Gopi Krishna Patapanchala, Rajeshwari Gangoni, Shen-Shyang Ho |
| 2025 | ICDM | Early Detection and Attribution of Structural Changes in Dynamic Networks. | Izhar Ali, Shen-Shyang Ho |
| 2025 | ICDM | Dynamic Graph Forecasting for Interacting Moving Objects via Multiplicative Interaction Networks. | Mahender Rao Samperboyina, Shen-Shyang Ho |
| 2024 | ICFEC | Poster: A Hybrid-Cloud Autoencoder Ensemble Method for BotNets Detection on Edge Devices. | Steven E. Arroyo, Shen-Shyang Ho |
| 2024 | ICFEC | 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 |
| 2024 | ICFEC | Poster: Computation Offloading for Precision Agriculture using Cooperative Inference. | Nicholas Bovee, Paolo Rommel Sanchez, Shen-Shyang Ho, Suraj Bitla, Gopi Krishna Patapanchala, Stephen Piccolo |
| 2024 | SAC | Change Point Detection in Evolving Graph using Martingale. | Shen-Shyang Ho, Tarun Teja Kairamkonda |
| 2024 | SAC | Rebalancing Shared Mobility Systems by User Incentive Schemes: State-Action Representation Design and Analysis. | Matthew Schofield, Ning Wang, Shen-Shyang Ho |
| 2022 | DASFAA | Hierarchical Bitmap Indexing for Range Queries on Multidimensional Arrays. | Lubos Krcl, Shen-Shyang Ho, Jan Holub |
| 2022 | ICMLA | Autoencoder Ensemble Method for Botnets Detection on IOT Devices. | Steven E. Arroyo, Shen-Shyang Ho |
| 2021 | GLOBECOM | Energy Demand Prediction with Optimized Clustering-Based Federated Learning. | Dylan Perry, Ning Wang, Shen-Shyang Ho |
| 2021 | ICTAI | 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 |
| 2020 | IJCNN | Assessing Accident Risk using Ordinal Regression and Multinomial Logistic Regression Data Generation. | Gulsum Alicioglu, Bo Sun, Shen-Shyang Ho |
| 2020 | ICTAI | An Error-Correcting Output Code Framework for Lifelong Learning without a Teacher. | Shen-Shyang Ho, Mathew Marchiano, Scott Zockoll, Hieu D. Nguyen |
| 2019 | MDM | A Martingale-Based Approach for Flight Behavior Anomaly Detection. | Shen-Shyang Ho, Matthew Schofield, Bo Sun, Jason Snouffer, Jean Kirschner |
| 2017 | MVA | 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 |
| 2016 | AAAI | Transfer Learning for Cross-Language Text Categorization through Active Correspondences Construction. | Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang, Shen-Shyang Ho |
| 2016 | ICASSP | Exploiting sparsity for image-based object surface anomaly detection. | Woon Huei Chai, Shen-Shyang Ho, Chi-Keong Goh |
| 2016 | ICIP | Is overfeat useful for image-based surface defect classification tasks? | Pei-Hung Chen, Shen-Shyang Ho |
| 2016 | MDM | ParkGauge: Gauging the Occupancy of Parking Garages with Crowdsensed Parking Characteristics. | Jim Cherian, Jun Luo, Hongliang Guo, Shen-Shyang Ho, Richard Wisbrun |
| 2015 | SENSYS | Poster: ParkGauge: Gauging the Congestion Level of Parking Garages with Crowdsensed Parking Characteristics. | Jim Cherian, Jun Luo, Hongliang Guo, Shen-Shyang Ho, Richard Wisbrun |
| 2014 | IJCNN | Robust prediction in nearly periodic time series using motifs. | Woon Huei Chai, Hongliang Guo, Shen-Shyang Ho |
| 2014 | MDM | A Smartphone User Activity Prediction Framework Utilizing Partial Repetitive and Landmark Behaviors. | Peng Dai, Shen-Shyang Ho |
| 2014 | SDM | A Generative Model with Network Regularization for Semi-Supervised Collective Classification. | Ruichao Shi, Qingyao Wu, Yunming Ye, Shen-Shyang Ho |
| 2012 | ICPR | An effective vortex detection approach for velocity vector field. | Shen-Shyang Ho |
| 2012 | ISI | Preserving privacy for moving objects data mining. | Shen-Shyang Ho |
| 2010 | KDD | Tropical cyclone event sequence similarity search via dimensionality reduction and metric learning. | Shen-Shyang Ho, Wenqing Tang, W. Timothy Liu |
| 2010 | SSDBM | A Framework for Moving Sensor Data Query and Retrieval of Dynamic Atmospheric Events. | Shen-Shyang Ho, Wenqing Tang, W. Timothy Liu, Markus Schneider |
| 2008 | KDD | Automated cyclone discovery and tracking using knowledge sharing in multiple heterogeneous satellite data. | Shen-Shyang Ho, Ashit Talukder |
| 2007 | ICDM | Confident Identification of Relevant Objects Based on Nonlinear Rescaling Method and Transductive Inference. | Shen-Shyang Ho, Roman A. Polyak |
| 2007 | IJCAI | Detecting Changes in Unlabeled Data Streams Using Martingale. | Shen-Shyang Ho, Harry Wechsler |
| 2005 | ICML | A martingale framework for concept change detection in time-varying data streams. | Shen-Shyang Ho |
| 2005 | IJCAI | Adaptive Support Vector Machine for Time-Varying Data Streams Using Martingale. | Shen-Shyang Ho, Harry Wechsler |
| 2005 | UAI | On the Detection of Concept Changes in Time-Varying Data Stream by Testing Exchangeability. | Shen-Shyang Ho, Harry Wechsler |
| 2003 | IJCNN | Transductive confidence machine for active learning. | Shen-Shyang Ho, Harry Wechsler |