| RecGAN: recurrent generative adversarial networks for recommendation systems H Bharadhwaj, H Park, BY Lim Proceedings of the 12th ACM Conference on Recommender Systems, 372-376, 2018 | 96 | 2018 |
| Energy-efficient privacy protection for smart home environments using behavioral semantics H Park, C Basaran, T Park, SH Son Sensors 14 (9), 16235-16257, 2014 | 42 | 2014 |
| Estimation of effective cohesion using artificial neural networks based on index soil properties: A Singapore case Y Kim, A Satyanaga, H Rahardjo, H Park, AWL Sham Engineering Geology 289, 106163, 2021 | 29 | 2021 |
| Maximizing accuracy of fall detection and alert systems based on 3D convolutional neural network S Hwang, DH Ahn, H Park, T Park Proceedings of the Second International Conference on Internet-of-Things …, 2017 | 29 | 2017 |
| Automatic identification of driver’s smartphone exploiting common vehicle-riding actions H Park, DH Ahn, T Park, KG Shin IEEE Transactions on Mobile Computing 17 (2), 265-278, 2017 | 28 | 2017 |
| Poster: Are you driving? non-intrusive driver detection using built-in smartphone sensors H Park, DH Ahn, M Won, SH Son, T Park Proceedings of the 20th annual international conference on Mobile computing …, 2014 | 17 | 2014 |
| ReLiSCE: Utilizing Resource-Limited Sensors for Office Activity Context Extraction H Park, J Park, H Kim, J Jun, SH Son, TS Park, J Ko IEEE, 2014 | 15 | 2014 |
| Reliable identification of vehicle-boarding actions based on fuzzy inference system DH Ahn, H Park, S Hwang, T Park Sensors 17 (2), 333, 2017 | 14 | 2017 |
| Activity-aware sensor cycling for human activity monitoring in smart homes H Park, S Hwang, M Won, T Park IEEE Communications Letters 21 (4), 757-760, 2016 | 14 | 2016 |
| Hierarchical Multi-Task Learning for Healthy Drink Classification H Park, H Bharadhwaj, BY Lim International Joint Conference on Neural Networks, 2019 | 12 | 2019 |
| A comparative study of privacy protection methods for smart home environments H Park, T Park, SH Son Int. J. Smart Home 7, 85-94, 2013 | 12 | 2013 |
| Accurate driver detection exploiting invariant characteristics of smartphone sensors DH Ahn, H Park, K Shin, T Park Sensors 19 (11), 2643, 2019 | 6 | 2019 |
| Biases in Food Photo Taking Behavior H Park, AR Kashyap, Z Wang, BY Lim CHI 2018 Workshop: Designing Recipes for Digital Food Futures. Retrieved …, 2018 | 3 | 2018 |
| Anomaly detection based on recursive least-square filter for robust intelligent transportation systems C Gwak, M Jo, S Kwon, H Park, SH Son 한국통신학회 학술대회논문집, 438-440, 2015 | 3 | 2015 |
| Cost‐effective, asynchronous inter‐sensor distance estimation using trigonometry JW Yoon, H Park, NS Kim, T Park Electronics Letters 52 (12), 1080-1082, 2016 | 1 | 2016 |
| Asynchronous distance measurement for smartphone-based localization exploiting chirp signals HJ Lee, H Park, T Park proceedings of the 12th EAI International Conference on Mobile and …, 2015 | 1 | 2015 |
| A deep learning framework to estimate water-to-cement ratio in mortar exploiting frequency domain reflectometry sensors S Yu, H Park, B Ko, HS Lee, T Park, JW Yoon Construction and Building Materials 462, 139896, 2025 | | 2025 |
| Linking Mobility Traces of the Same User Across Different Datasets D Zhang, H Park, S Xiang 2023 IEEE International Conference on Service Operations and Logistics, and …, 2023 | | 2023 |
| SalienTrack: providing salient information for semi-automated self-tracking feedback with model explanations Y Wang, J Liu, H Park, J Schultz-McArdle, S Rosenthal, J Kay, BY Lim arXiv preprint arXiv:2109.10231, 2021 | | 2021 |
| Assessment of Route Guidance System Utilizing Turning Movement Specific Link Travel Times H Park, S Jeon, T Park, BB Park, J Jeon, Y Eun, SH Son ITS World Congress 2018, 2018 | | 2018 |
Taejoon ParkProfessor/Director, Institute for Shared AI-Robotics Education (SHARE), Hanyang UniversityBestätigte E-Mail-Adresse bei hanyang.ac.kr
