| Multi-objective optimization for sustainable renewable jet fuel production: A case study of corn stover based supply chain system in Midwestern US E Huang, X Zhang, L Rodriguez, M Khanna, S de Jong, KC Ting, Y Ying, ... Renewable and Sustainable Energy Reviews 115, 109403, 2019 | 54 | 2019 |
| Automated detection and analysis of social behaviors among preweaning piglets using key point-based spatial and temporal features H Gan, M Ou, E Huang, C Xu, S Li, J Li, K Liu, Y Xue Computers and Electronics in Agriculture 188, 106357, 2021 | 30 | 2021 |
| Deep learning-based animal activity recognition with wearable sensors: Overview, challenges, and future directions A Mao, E Huang, X Wang, K Liu Computers and Electronics in Agriculture 211, 108043, 2023 | 22 | 2023 |
| Center clustering network improves piglet counting under occlusion E Huang, A Mao, H Gan, MC Ceballos, TD Parsons, Y Xue, K Liu Computers and Electronics in Agriculture 189, 106417, 2021 | 17 | 2021 |
| Cross-modality interaction network for equine activity recognition using imbalanced multi-modal data A Mao, E Huang, H Gan, RSV Parkes, W Xu, K Liu Sensors 21 (17), 5818, 2021 | 15 | 2021 |
| FedAAR: A novel federated learning framework for animal activity recognition with wearable sensors A Mao, E Huang, H Gan, K Liu Animals 12 (16), 2142, 2022 | 11 | 2022 |
| Occlusion-Resistant instance segmentation of piglets in farrowing pens using center clustering network E Huang, A Mao, J Hou, Y Wu, W Xu, MC Ceballos, TD Parsons, K Liu Computers and Electronics in Agriculture 210, 107950, 2023 | 7 | 2023 |
| A semi-supervised generative adversarial network for amodal instance segmentation of piglets in farrowing pens E Huang, Z He, A Mao, MC Ceballos, TD Parsons, K Liu Computers and Electronics in Agriculture 209, 107839, 2023 | 7 | 2023 |
| Capacity limit of deep learning methods on scenarios of pigs in farrowing pen under occlusion E Huang, A Mao, MC Ceballos, TD Parsons, K Liu 2021 ASABE Annual International Virtual Meeting, 1, 2021 | 6 | 2021 |
| Automatic Detection of Feral Pigeons in Urban Environments Using Deep Learning Z Guo, Z He, L Lyu, A Mao, E Huang, K Liu Animals 14 (1), 159, 2024 | 1 | 2024 |
| A teacher-to-student information recovery method toward energy-efficient animal activity recognition at low sampling rates A Mao, M Zhu, E Huang, X Yao, K Liu Computers and Electronics in Agriculture 213, 108242, 2023 | 1 | 2023 |
| Deep learning-based assessment of laying-hen feather conditions using color and thermal images E Huang, A Mao, K Liu, Y Xue 2nd Asian Conference on Precision Livestock Farming (ACPLF2020), 2020 | 1 | 2020 |
| DeMVpp-YOLO: A lightweight pig behavior detection model for improved pig health management in farrowing pens Z Guo, L Lyu, Z He, A Mao, E Huang, K Liu 2023 International Symposium on Animal Environment and Welfare (ISAEW 2023), 2023 | | 2023 |
| Occlusion-resistant locomotion analysis of piglets using amodal instance segmentation H Gan, A Mao, CN Sze, E Huang, MC Ceballos, TD Parsons, K Liu 2nd US Precision Livestock Farming Conference, 78-84, 2023 | | 2023 |
| Uniting farms: Federated learning for sensor-based animal activity recognition MAO Axiu, E HUANG, GAN Haiming, LIU Kai 10th European Conference on Precision Livestock Farming (ECPLF 2022), 2022 | | 2022 |
| Occlusion-Resistant Spatial Analysis of Pig Distribution Pattern in Farrowing Pens Using Center Clustering Network E Huang, A Mao, H Gan, K Liu 10th European Conference on Precision Livestock Farming (ECPLF 2022), 2022 | | 2022 |
| A Key Frame Selection Method for Creating Deep Learning Training Set in Animal Research Involving Time-Series Video Data E Huang, A Mao, H Gan, K Liu and Welfare, 2021 | | 2021 |
