Is There Difference between In and Out of Classroom? Harnessing the Group Interaction of Blended Learning. - Hang Shu; Yi Wei; Xiaoqing Gu (ICALT, 2017)

Multi-granularity Network Representation Learning Based on Game Theory. - Hang Shu; Qun Liu 005; Shuyin Xia (ICDM Workshops, 2018)

Determining the differences between online and face-to-face student-group interactions in a blended learning course. - Hang Shu; Xiaoqing Gu (Internet High. Educ., 2018)

Multi-Objective Algorithm Based on Tissue P System for Solving Tri-objective Grain Dispatching and Transportation. - Zhixin He; Kang Zhou; Hang Shu; Jian Zhou; Xinyu Lyu; Guangbin Li (BIC-TA, 2020)

A Multi-objective Algorithm Based on M-MOEA/D Algorithm and Tissue-Like P System for Solving Bi-objective Grain Dispatching and Transportation. - Xinyue Hu; Hua Yang; Kang Zhou; Hang Shu; Zhixin He; Jian Zhou; Guangbin Li (BIC-TA, 2020)

A Hybrid Harmony Search Algorithm Based on Data Analysis to Solve Multi-objective Grain Transportation Problem. - Hang Shu; Kang Zhou; Xinyue Hu; Zhixin He; Jian Zhou; Guangbin Li (BIC-TA, 2020)

User-Preference Based Knowledge Graph Feature and Structure Learning for Recommendation. - Hang Shu; Jun Huang 009 (ICME, 2021)

Two-Stage Multi-objective Evolutionary Algorithm Based on Classified Population for Tri-objective VRPTW. - Hang Shu; Kang Zhou; Zhixin He; Xinyue Hu (Int. J. Unconv. Comput., 2021)

Fuzzy hierarchical network embedding fusing structural and neighbor information. - Qun Liu 005; Hang Shu; Ming Yuan 001; Guoyin Wang 001 (Inf. Sci., 2022)

Predicting physiological responses of dairy cows using comprehensive variables. - Hang Shu; Yongfeng Li; Jérôme Bindelle; Zhongming Jin 002; Tingting Fang; Mingjie Xing; Leifeng Guo; Wensheng Wang (Comput. Electron. Agric., 2023)

Multi-task feature and structure learning for user-preference based knowledge-aware recommendation. - Hang Shu; Jun Huang 009 (Neurocomputing, 2023)

Multi-objective algorithm based on tissue P system for solving tri-objective optimization problems. - Zhixin He; Kang Zhou; Hang Shu; Xuan Chen; Xinyu Lyu (Evol. Intell., 2023)

Behavior classification and spatiotemporal analysis of grazing sheep using deep learning. - Zhongming Jin 002; Hang Shu; Tianci Hu; Chengxiang Jiang; Ruirui Yan; Jingwei Qi; Wensheng Wang; Leifeng Guo (Comput. Electron. Agric., 2024)

Non-contact respiration rate measurement of multiple cows in a free-stall barn using computer vision methods. - Hang Shu; Jérôme Bindelle; Xianhong Gu (Comput. Electron. Agric., 2024)

Automated collection of facial temperatures in dairy cows via improved UNet. - Hang Shu; Kaiwen Wang; Leifeng Guo; Jérôme Bindelle; Wensheng Wang (Comput. Electron. Agric., 2024)

A transient-enhanced output-capacitorless LDO regulator with non-inverting pull-push gain stage. - Hang Shu; Pengfei Liao; Haiqing Peng; Wensuo Chen (Microelectron. J., 2024)

High-Precision Intracity Temperature Estimation Based on Generated Point Clouds. - Guanjie Huang; KaiQun He; Xiaoyue Lyu; Yu Zang; Hang Shu; Lei Zhao; Jonathan Li 001; Cheng Wang 003 (IEEE Trans. Geosci. Remote. Sens., 2024)

Uncovering the predictive effect of behaviours on self-directed learning ability. - Bowen Liu 003; Yonghe Wu; Hang Shu; Yongpeng Cui; Can Zuo; Wenhao Li (Br. J. Educ. Technol., 2024)

GhostShell: Streaming LLM Function Calls for Concurrent Embodied Programming. - Jian Gong; Youwei Huang; Bo Yuan; Ming Zhu; Zhou Liao; Jianhang Liang; Juncheng Zhan; Jinke Wang; Hang Shu; Mingyue Xiong; Yanjun Ye; Yufan Zu; et al. (CoRR, 2025)