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Recommending Learning Objects Through Attentive Heterogeneous Graph Convolution and Operation-Aware Neural Network
Zhu, Yifan, Lin, Qika, Lu, Hao, Shi, Kaize, Liu, Donglei, Chambua, James, Wang, Shanshan and Niu, Zhendong. 2023. "Recommending Learning Objects Through Attentive Heterogeneous Graph Convolution and Operation-Aware Neural Network ." IEEE Transactions on Knowledge and Data Engineering. 35 (4), pp. 4178-4189. https://doi.org/10.1109/TKDE.2021.3125424
Mental health at risk: Predicting psychological distress in Australian youth through machine learning models
Ahammed, Benojir, Alam, Khorshed, Hoque, Zahirul and Keramat, Syed Afroz. 2026. "Mental health at risk: Predicting psychological distress in Australian youth through machine learning models." Journal of Affective Disorders. 395 (Part A). https://doi.org/10.1016/j.jad.2025.120679
Social weather: A review of crowdsourcing‐assisted meteorological knowledge services through social cyberspace
Zhu, Yifan, Zhang, Sifan, Li, Yinan, Lu, Hao, Shi, Kaize and Niu, Zhendong. 2020. "Social weather: A review of crowdsourcing‐assisted meteorological knowledge services through social cyberspace." Geoscience Data Journal. 7 (1), pp. 61-79. https://doi.org/10.1002/gdj3.85
Heterogeneous teaching evaluation network based offline course recommendation with graph learning and tensor factorization
Zhu, Yifan, Lu, Hao, Qiu, Ping, Shi, Kaize, Chambua, James and Niu, Zhendong. 2020. "Heterogeneous teaching evaluation network based offline course recommendation with graph learning and tensor factorization." Neurocomputing. 415, pp. 84-95. https://doi.org/10.1016/j.neucom.2020.07.064
Recommending scientific paper via heterogeneous knowledge embedding based attentive recurrent neural networks
Zhu, Yifan, Lin, Qika, Lu, Hao, Shi, Kaize, Qiu, Ping and Niu, Zhendong. 2021. "Recommending scientific paper via heterogeneous knowledge embedding based attentive recurrent neural networks." Knowledge-Based Systems. 215. https://doi.org/10.1016/j.knosys.2021.106744