| 2026 | AAAI | Learning Topology-Aware Dynamic Associations for Robust Multi-Person Pose Estimation. | Shengnan Hu, Yandong Liu, Jiangnan Liu, Yahong Chen |
| 2025 | SMC | SlimPose: Lightweight Multi-Person Pose Estimation via Multi-Scale Structural Feature Fusion and Selective Attention. | Yandong Liu, Jiangnan Liu, Xi Peng, Shengnan Hu |
| 2024 | ICMLA | Multimodal Fusion Networks for Workload Modeling. | Shengnan Hu, Gita Sukthankar |
| 2023 | ICMLA | The Potential of Vision-Language Models for Content Moderation of Children's Videos. | Syed Hammad Ahmed, Shengnan Hu, Gita Sukthankar |
| 2023 | IROS | LAMP: Leveraging Language Prompts for Multi-Person Pose Estimation. | Shengnan Hu, Ce Zheng, Zixiang Zhou, Chen Chen, Gita Sukthankar |
| 2022 | ICPR | Predicting Team Performance with Spatial Temporal Graph Convolutional Networks. | Shengnan Hu, Gita Sukthankar |
| 2021 | FlAIRS | Representing Time Series Data in Intelligent Training Systems. | Shengnan Hu, Zerong Xi, Greg McGowin, Gita Sukthankar, Stephen M. Fiore, Kevin Oden |
| 2020 | ICPR | CCA: Exploring the Possibility of Contextual Camouflage Attack on Object Detection. | Shengnan Hu, Yang Zhang, Sumit Laha, Ankit Kumar Sharma, Hassan Foroosh |
| 2020 | ICPR | Near-Infrared Depth-Independent Image Dehazing using Haar Wavelets. | Sumit Laha, Ankit Kumar Sharma, Shengnan Hu, Hassan Foroosh |