Dr. Axiu Mao

毛阿秀

Pre-tenured Associate Professor (特聘副教授)

Intelligent Information Processing Laboratory (IIPLab),
School of Communication Engineering,
Hangzhou Dianzi University,
Hangzhou, China.

Email: axiu.mao@hdu.edu.cn


I am a pre-tenured associate professor in the Intelligent Information Processing Laboratory (IIPL), School of Communication Engineering, Hangzhou Dianzi University (HDU). Before joining HDU, I received my Ph.D. degree in the LIU Laboratory for SMART Animal Management (SmartAM), City University of Hong Kong (CityU) in 2023, and supervised by Prof. Kai Liu.

My research particularly focuses on using machine learning, deep learning, computer vision, and wearable sensors for animal identification and tracking, behavior estimation, and acoustic detection.

News

Publications [Google Scholar]

Journal Papers

DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving Federated Low-rank Adaptation
Meilu Zhu, Axiu Mao, Jun Liu*, Yixuan Yuan*.

IEEE Transactions on Medical Imaging (TMI), Dec, 2024
[paper]

Characterization of social cohesion status of pre-weaning piglets based on lightweight pose estimation
Zheng He, Chuanyi Guo, Zhaojin Guo, Li Lyu, Endai Huang, Axiu Mao, Kai Liu*.

Computers and Electronics in Agriculture (COMPAG), Dec, 2024
[paper]

Estimation of cattle weight from composite image/height/length data with spatial and channel attention convolution network (SCA-ConvNet)
Leibin Lan, Lei Shen*, Huaxia Wang, Yudong Yao, Peng Zheng, Axiu Mao.

Signal, Image and Video Processing, Sep, 2024
[paper]

Automatic Detection of Feral Pigeons in Urban Environments Using Deep Learning
Zhaojin Guo, Zheng He, Li Lyu, Axiu Mao, Endai Huang, Kai Liu*.

Animals, Jan, 2024
[paper]

A Teacher-to-Student Information Recovery Method Toward Energy-Efficient Animal Activity Recognition at Low Sampling Rates
Axiu Mao, Mei Zhu, Endai Huang, Xi Yao, Kai Liu*.

Computers and Electronics in Agriculture (COMPAG), Sep, 2023
[paper][code]

Deep Learning-based Animal Activity Recognition with Wearable Sensors: Overview, Challenges, and Future Directions
Axiu Mao, Endai Huang, Xiaoshuai Wang, Kai Liu*.

Computers and Electronics in Agriculture (COMPAG), Jul, 2023
[paper]

Occlusion-Resistant Instance Segmentation of Piglets in Farrowing Pens Using Center Clustering Network
Endai Huang, Axiu Mao, Junhui Hou, Yongjian Wu, Weitao Xu, Maria Camila Ceballos, Thomas D. Parsons, Kai Liu*.

Computers and Electronics in Agriculture (COMPAG), May, 2023
[paper]

A Semi-supervised Generative Adversarial Network for Amodal Instance Segmentation of Piglets in Farrowing Pens
Endai Huang, Zheng He, Axiu Mao, Maria Camila Ceballos, Thomas D. Parsons, Kai Liu*.

Computers and Electronics in Agriculture (COMPAG), Apr, 2023
[paper]

FedAAR: A Novel Federated Learning Framework for Animal Activity Recognition with Wearable Sensors
Axiu Mao, Endai Huang, Haiming Gan, Kai Liu*.

Animals, Aug, 2022
[paper][code]

Automated Detection and Analysis of Piglet Suckling Behaviour Using High-accuracy Amodal Instance Segmentation
Haiming Gan, Mingqiang Ou, Chengpeng Li, Xiarui Wang, Jingfeng Guo, Axiu Mao, Maria Camila Ceballos, Thomas D. Parsons, Kai Liu*, Yueju Xue*.

Computers and Electronics in Agriculture (COMPAG), Aug, 2022
[paper]

Automated Identification of Chicken Distress Vocalizations Using Deep Learning Models
Axiu Mao, Claire S. E. Giraudet, Kai Liu*, Inês De Almeida Nolasco, Zhiqin Xie, Zhixun Xie, Yue Gao, James Theobald, Devaki Bhatta, Rebecca Stewart, Alan G. McElligott*.

Journal of Royal Society Interface (J.R.Soc.Interface), Jun, 2022
[paper][code][newsletters][newsletters][newsletters][newsletters]

Center Clustering Network Improves Piglet Counting Under Occlusion
Endai Huang, Axiu Mao, Haiming Gan, Maria Camila Ceballos, Thomas D. Parsons, Yueju Xue, Kai Liu*.

Computers and Electronics in Agriculture (COMPAG), Oct, 2021
[paper]

Cross-Modality Interaction Network for Equine Activity Recognition Using Imbalanced Multi-Modal Data
Axiu Mao, Endai Huang, Haiming Gan, Rebecca S. V. Parkes, Weitao Xu, Kai Liu*.

Sensors, Sep, 2021
[paper][code]

Conference Papers

Cross-species knowledge sharing for improved animal activity recognition with limited labelled data
Axiu Mao, Meilu Zhu, Endai Huang, Zhaojin Guo, Zheng He, Li Lyu, Norton Tomas, Kai Liu*.

11th European Conference on Precision Livestock Farming (ECPLF 2024), Sep, 2024

DeMVpp-YOLO: A Lightweight Pig Behavior Detection Model for Improved Pig Health Management in Farrowing Pens
Zhaojin Guo, Li Lyu, Zheng He, Axiu Mao, Endai Huang, Kai Liu*.

2023 International Symposium on Animal Environment and Welfare (ISAEW 2023), Oct, 2023

Robust Animal Activity Recognition Using Wearable Sensors: A Correlation Distillation-based Information Recovery Method Toward Data Having Low Sampling Rates
Axiu Mao, Endai Huang, Meilu Zhu, Kai Liu*.

2nd U.S. Precision Livestock Farming Conference (USPLF 2023), May, 2023

Occlusion-resistant Locomotion Analysis of Piglets Using Amodal Instance Segmentation
Haiming Gan, Axiu Mao, Cheryl Natalie Sze, Endai Huang, Maria Camila Ceballos, Thomas D. Parsons, Kai Liu*.

2nd U.S. Precision Livestock Farming Conference (USPLF 2023), May, 2023

Uniting Farms: Federated Learning for Sensory-based Animal Activity Recognition
Axiu Mao, Endai Huang, Haiming Gan, Kai Liu*.

2022 European Conference on Precision Livestock Farming (ECPLF 2022), Aug, 2022

Occlusion Resistant Spatiotemporal Analysis of Pig Distribution Pattern in Farrowing Pens Using Centrer Clustering Network
Endai Huang, Axiu Mao, Haiming Gan, Kai Liu*.

2022 European Conference on Precision Livestock Farming (ECPLF 2022), Aug, 2022

Cross-Modality Interaction Network for Equine Activity Recognition Using Time-Series Motion Data
Axiu Mao, Endai Huang, Weitao Xu, Kai Liu*.

2021 International Symposium on Animal Environment and Welfare (ISAEW 2021), Oct, 2021

A Key Frame Selection Method for Creating Deep Learning Training Set in Animal Research Involving Time-Series Video Data
Endai Huang, Axiu Mao, Haiming Gan, Kai Liu*.

2021 International Symposium on Animal Environment and Welfare (ISAEW 2021), Oct, 2021

Capacity Limit of Deep Learning Methods on Scenarios of Pigs in Farrowing Pen under Occlusion
Endai Huang, Axiu Mao, Maria Camila Ceballos, Thomas D. Parsons, Kai Liu*.

American Society of Agricultural and Biological Engineers (ASABE 2021) , Jul, 2021
[paper]

Deep Learning-based Assessment of Laying-hen Feather Conditions Using Color and Thermal Images
Endai Huang, Axiu Mao, Kai Liu*, Yueju Xue.

2nd Asian Conference on Precision Livestock Farming (ACPLF 2020), Oct, 2020

Honors & Awards