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2026

Journal Article

Do digital twins need people? Integration of the human dimension into digital twins of the natural environment

Dhakal, Sandeep, Parry, Hazel, Li, Yayong, Loechel, Barton and Moghadam, Peyman (2026). Do digital twins need people? Integration of the human dimension into digital twins of the natural environment. Socio-Environmental Systems Modelling, 8, 18760. doi: 10.18174/sesmo.18760

Do digital twins need people? Integration of the human dimension into digital twins of the natural environment

2026

Journal Article

A traffic flow forecasting model based on dynamic graph learning and temporally adaptive attention

Zhang, Hong, Qi, Fangzheng, Zhang, Yu, Qin, Yijie and Li, Yayong (2026). A traffic flow forecasting model based on dynamic graph learning and temporally adaptive attention. Safety Science, 195 107063, 107063-195. doi: 10.1016/j.ssci.2025.107063

A traffic flow forecasting model based on dynamic graph learning and temporally adaptive attention

2026

Journal Article

AI ethics in geoscience: toward trustworthy and responsible innovation

Wu, Jinran, Tian, Xin, Wang, You-Gan, Li, Tong, Liu, Qingyang, Li, Yayong, Cui, Lizhen, Tian, Zhuangcai, Xu, Jing, Lyu, Xianzhou and Mo, Yuming (2026). AI ethics in geoscience: toward trustworthy and responsible innovation. Geography and Sustainability, 7 (1) 100414, 1-4. doi: 10.1016/j.geosus.2026.100414

AI ethics in geoscience: toward trustworthy and responsible innovation

2024

Journal Article

A hierarchical attention-based feature selection and fusion method for credit risk assessment

Liu, Ximing, Li, Yayong, Dai, Cheng and Zhang, Hong (2024). A hierarchical attention-based feature selection and fusion method for credit risk assessment. Future Generation Computer Systems, 160, 537-546. doi: 10.1016/j.future.2024.06.036

A hierarchical attention-based feature selection and fusion method for credit risk assessment

2022

Journal Article

Informative pseudo-labeling for graph neural networks with few labels

Li, Yayong, Yin, Jie and Chen, Ling (2022). Informative pseudo-labeling for graph neural networks with few labels. Data Mining and Knowledge Discovery, 37 (1), 228-254. doi: 10.1007/s10618-022-00879-4

Informative pseudo-labeling for graph neural networks with few labels

2021

Journal Article

SEAL: Semisupervised Adversarial Active Learning on attributed graphs

Li, Yayong, Yin, Jie and Chen, Ling (2021). SEAL: Semisupervised Adversarial Active Learning on attributed graphs. IEEE Transactions on Neural Networks and Learning Systems, 32 (7) 9158558, 3136-3147. doi: 10.1109/tnnls.2020.3009682

SEAL: Semisupervised Adversarial Active Learning on attributed graphs

2018

Journal Article

An Efficient H.264/AVC to HEVC Transcoder for Real-Time Video Communication in Internet of Vehicles

Liu, Xingang, Li, Yayong, Dai, Cheng, Li, Pan and Yang, Laurence T. (2018). An Efficient H.264/AVC to HEVC Transcoder for Real-Time Video Communication in Internet of Vehicles. IEEE Internet of Things Journal, 5 (4), 3186-3197. doi: 10.1109/jiot.2018.2837034

An Efficient H.264/AVC to HEVC Transcoder for Real-Time Video Communication in Internet of Vehicles

2017

Journal Article

An adaptive CU size decision algorithm for HEVC intra prediction based on complexity classification using machine learning

Liu, Xingang, Li, Yayong, Liu, Deyuan, Wang, Peicheng and Yang, Laurence T. (2017). An adaptive CU size decision algorithm for HEVC intra prediction based on complexity classification using machine learning. IEEE Transactions on Circuits and Systems for Video Technology, 29 (1), 144-155. doi: 10.1109/tcsvt.2017.2777903

An adaptive CU size decision algorithm for HEVC intra prediction based on complexity classification using machine learning