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Hang Shu
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2020 – today
- 2024
- [j11]Bowen Liu
, Yonghe Wu, Hang Shu, Yongpeng Cui, Can Zuo, Wenhao Li
:
Uncovering the predictive effect of behaviours on self-directed learning ability. Br. J. Educ. Technol. 55(3): 1231-1252 (2024) - [j10]Hang Shu
, Jérôme Bindelle, Xianhong Gu:
Non-contact respiration rate measurement of multiple cows in a free-stall barn using computer vision methods. Comput. Electron. Agric. 218: 108678 (2024) - [j9]Hang Shu
, Kaiwen Wang, Leifeng Guo, Jérôme Bindelle, Wensheng Wang:
Automated collection of facial temperatures in dairy cows via improved UNet. Comput. Electron. Agric. 220: 108614 (2024) - [j8]Zhongming Jin
, Hang Shu
, Tianci Hu, Chengxiang Jiang, Ruirui Yan, Jingwei Qi, Wensheng Wang, Leifeng Guo:
Behavior classification and spatiotemporal analysis of grazing sheep using deep learning. Comput. Electron. Agric. 220: 108894 (2024) - [j7]Hang Shu, Pengfei Liao, Haiqing Peng, Wensuo Chen:
A transient-enhanced output-capacitorless LDO regulator with non-inverting pull-push gain stage. Microelectron. J. 151: 106299 (2024) - 2023
- [j6]Hang Shu
, Yongfeng Li, Jérôme Bindelle, Zhongming Jin, Tingting Fang, Mingjie Xing, Leifeng Guo, Wensheng Wang:
Predicting physiological responses of dairy cows using comprehensive variables. Comput. Electron. Agric. 207: 107752 (2023) - [j5]Zhixin He, Kang Zhou, Hang Shu, Xuan Chen, Xinyu Lyu:
Multi-objective algorithm based on tissue P system for solving tri-objective optimization problems. Evol. Intell. 16(6): 1-16 (2023) - [j4]Hang Shu, Jun Huang:
Multi-task feature and structure learning for user-preference based knowledge-aware recommendation. Neurocomputing 532: 43-55 (2023) - 2022
- [j3]Qun Liu, Hang Shu, Ming Yuan, Guoyin Wang:
Fuzzy hierarchical network embedding fusing structural and neighbor information. Inf. Sci. 603: 130-148 (2022) - 2021
- [j2]Hang Shu, Kang Zhou, Zhixin He, Xinyue Hu:
Two-Stage Multi-objective Evolutionary Algorithm Based on Classified Population for Tri-objective VRPTW. Int. J. Unconv. Comput. 16(2-3): 141-171 (2021) - [c6]Hang Shu, Jun Huang
:
User-Preference Based Knowledge Graph Feature and Structure Learning for Recommendation. ICME 2021: 1-6 - 2020
- [c5]Hang Shu, Kang Zhou
, Xinyue Hu, Zhixin He
, Jian Zhou, Guangbin Li:
A Hybrid Harmony Search Algorithm Based on Data Analysis to Solve Multi-objective Grain Transportation Problem. BIC-TA 2020: 151-173 - [c4]Zhixin He
, Kang Zhou
, Hang Shu, Jian Zhou, Xinyu Lyu
, Guangbin Li:
Multi-Objective Algorithm Based on Tissue P System for Solving Tri-objective Grain Dispatching and Transportation. BIC-TA 2020: 534-559 - [c3]Xinyue Hu
, Hua Yang
, Kang Zhou
, Hang Shu
, Zhixin He
, Jian Zhou, Guangbin Li:
A Multi-objective Algorithm Based on M-MOEA/D Algorithm and Tissue-Like P System for Solving Bi-objective Grain Dispatching and Transportation. BIC-TA 2020: 560-581
2010 – 2019
- 2018
- [j1]Hang Shu, Xiaoqing Gu
:
Determining the differences between online and face-to-face student-group interactions in a blended learning course. Internet High. Educ. 39: 13-21 (2018) - [c2]Hang Shu, Qun Liu, Shuyin Xia:
Multi-granularity Network Representation Learning Based on Game Theory. ICDM Workshops 2018: 454-461 - 2017
- [c1]Hang Shu, Yi Wei, Xiaoqing Gu:
Is There Difference between In and Out of Classroom? Harnessing the Group Interaction of Blended Learning. ICALT 2017: 186-188
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last updated on 2024-08-17 23:35 CEST by the dblp team
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