| 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 | 41 | 2023 |
| Automated identification of chicken distress vocalizations using deep learning models A Mao, CSE Giraudet, K Liu, I De Almeida Nolasco, Z Xie, Z Xie, Y Gao, ... Journal of the Royal Society Interface 19 (191), 20210921, 2022 | 27 | 2022 |
| Automated detection and analysis of piglet suckling behaviour using high-accuracy amodal instance segmentation H Gan, M Ou, C Li, X Wang, J Guo, A Mao, MC Ceballos, TD Parsons, ... Computers and Electronics in Agriculture 199, 107162, 2022 | 23 | 2022 |
| 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 | 21 | 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 | 17 | 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 | 16 | 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 | 9 | 2023 |
| Effectiveness of quarantine measure on transmission dynamics of COVID-19 in Hong Kong HY Yuan, A Mao, G Han, H Yuan, D Pfeiffer medRxiv, 2020.04. 09.20059006, 2020 | 8 | 2020 |
| 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 |
| The importance of the timing of quarantine measures before symptom onset to prevent COVID-19 outbreaks-illustrated by Hong Kong’s intervention model HY Yuan, G Han, H Yuan, S Pfeiffer, A Mao, L Wu, D Pfeiffer medRxiv, 2020.05. 03.20089482, 2020 | 6 | 2020 |
| 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 | 3 | 2023 |
| 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 | 2 | 2024 |
| DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving Federated Low-rank Adaptation M Zhu, A Mao, J Liu, Y Yuan IEEE Transactions on Medical Imaging, 2024 | 1 | 2024 |
| Estimation of cattle weight from composite image/height/length data with spatial and channel attention convolution network (SCA-ConvNet) L Lan, L Shen, H Wang, Y Yao, P Zheng, A Mao Signal, Image and Video Processing 18 (10), 7349-7358, 2024 | 1 | 2024 |
| Cross-modality Interaction Network for Equine Activity Recognition Using Time-Series Motion Data Axiu Mao, Endai Huang, Weitao Xu, Kai Liu 6th International Symposium on Animal Environment and Welfare, 269-276, 2021 | 1* | 2021 |
| 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 |
| Characterization of social cohesion status of pre-weaning piglets based on lightweight pose estimation Z He, C Guo, Z Guo, L Lyu, E Huang, A Mao, K Liu Computers and Electronics in Agriculture 229, 109716, 2025 | | 2025 |
| CKSP: Cross-species Knowledge Sharing and Preserving for Universal Animal Activity Recognition A Mao, M Zhu, Z Guo, Z He, T Norton, K Liu arXiv preprint arXiv:2410.16644, 2024 | | 2024 |
| A Two-Stage Computer Vision Framework for Individual Recognition and Precision Data Collection Illustrated through Piglets in Farrowing Pens C Guo, Z Guo, T Ede, L Lyu, Z He, A Mao, TD Parsons, K Liu 11th European Conference on Precision Livestock Farming (ECPLF 2024), 1698-1706, 2024 | | 2024 |
Kai LiuAssistant Professor, City University of Hong KongВерификована је имејл адреса на cityu.edu.hk
