Prof. LIU Kai (劉凱)

Robust animal activity recognition using wearable sensors: A correlation distillation-based information recovery method toward data having low sampling rates

Mao, A. X., Huang, E. D., Zhu, M. L. & Liu, K., 24 May 2023, The U.S. Precision Livestock Farming 2023: Conference Proceedings of the 2nd U.S. Precision Livestock Farming Conference. ZHAO, Y., BERCKMANS, D., GAN, H., RAMIREZ, B., SIEGFORD, J. & WANG-LI, L. (eds.). The Proceedings Committee of the 2nd U.S. Precision Livestock Farming Conference, p. 416-423

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Occlusion-resistant locomotion analysis of piglets using amodal instance segmentation

Gan, H., Mao, A., Sze, C. N., Huang, E., Ceballos, M. C., Parsons, T. D. & Liu, K., 22 May 2023, The U.S. Precision Livestock Farming 2023: Conference Proceedings of the 2nd U.S. Precision Livestock Farming Conference. ZHAO, Y., BERCKMANS, D., GAN, H., RAMIREZ, B., SIEGFORD, J. & WANG-LI, L. (eds.). The Proceedings Committee of the 2nd U.S. Precision Livestock Farming Conference, p. 78-84

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Demo Abstract: A Novel Firmware Update Over-The-Air System for LoRa Networks

Sun, Z., Ni, T., Yang, H., Liu, K., Zhang, Y., Gu, T. & Xu, W., May 2023, IPSN '23: Proceedings of the 22nd International Conference on Information Processing in Sensor Networks. Association for Computing Machinery (ACM), p. 362–363

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

FLoRa: Energy-Efficient, Reliable, and Beamforming-Assisted Over-The-Air Firmware Update in LoRa Networks

Sun, Z., Ni, T., Yang, H., Liu, K., Zhang, Y., Gu, T. & Xu, W., May 2023, IPSN '23: Proceedings of the 22nd International Conference on Information Processing in Sensor Networks. Association for Computing Machinery (ACM), p. 14–26

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Scopus citations: 14

A Key Frame Selection Method for Creating Deep Learning Training Set in Animal Research Involving Time-Series Video Data

Huang, E., Mao, A., Gan, H. & Liu, K., Oct 2021, Animal Environment and Welfare - Proceedings of International Symposium. Ni, J.-Q., Wang-Li, L. & Wang, C. (eds.). International Research Center for Animal Environment and Welfare, p. 287-294

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Cross-modality Interaction Network for Equine Activity Recognition Using Time-Series Motion Data

Mao, A., Huang, E., Xu, W. & Liu, K., Oct 2021, Animal Environment and Welfare - Proceedings of International Symposium. Ni, J.-Q., Wang-Li, L. & Wang, C. (eds.). International Research Center for Animal Environment and Welfare, p. 269-276

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Capacity Limit of Deep Learning Methods on Scenarios of Pigs in Farrowing Pen under Occlusion

Huang, E., Mao, A., Ceballos, M. C., Parsons, T. D. & Liu, K., Jul 2021, 2021 ASABE Annual International Virtual Meeting. American Society of Agricultural and Biological Engineers, Vol. 3. p. 1917-1924 (American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Scopus citations: 4