2024 Journal Article Explicit knowledge graph reasoning for conversational recommendationRen, Xuhui, Chen, Tong, Nguyen, Quoc Viet Hung, Cui, Lizhen, Huang, Zi and Yin, Hongzhi (2024). Explicit knowledge graph reasoning for conversational recommendation. ACM Transactions on Intelligent Systems and Technology, 15 (4) 86, 1-21. doi: 10.1145/3637216 |
2024 Journal Article Personalized elastic embedding learning for on-device recommendationZheng, Ruiqi, Qu, Liang, Chen, Tong, Zheng, Kai, Shi, Yuhui and Yin, Hongzhi (2024). Personalized elastic embedding learning for on-device recommendation. IEEE Transactions on Knowledge and Data Engineering, 36 (7), 3363-3375. doi: 10.1109/tkde.2024.3361562 |
2024 Journal Article Heterogeneous decentralised machine unlearning with seed model distillationYe, Guanhua, Chen, Tong, Hung Nguyen, Quoc Viet and Yin, Hongzhi (2024). Heterogeneous decentralised machine unlearning with seed model distillation. CAAI Transactions on Intelligence Technology, 9 (3), 608-619. doi: 10.1049/cit2.12281 |
2024 Journal Article Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided DiffusionChen, Lijian, Yuan, Wei, Chen, Tong, Ye, Guanhua, Hung, Nguyen Quoc Viet and Yin, Hongzhi (2024). Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion. ACM Transactions on Information Systems, 42 (6) 156, 1-26. doi: 10.1145/3666088 |
2024 Journal Article Variational counterfactual prediction under runtime domain corruptionWen, Hechuan, Chen, Tong, Chai, Li Kheng, Sadiq, Shazia, Gao, Junbin and Yin, Hongzhi (2024). Variational counterfactual prediction under runtime domain corruption. IEEE Transactions on Knowledge and Data Engineering, 36 (5) 10271745, 2271-2284. doi: 10.1109/tkde.2023.3321893 |
2024 Journal Article Time interval-enhanced graph neural network for shared-account cross-domain sequential recommendationGuo, Lei, Zhang, Jinyu, Tang, Li, Chen, Tong, Zhu, Lei and Yin, Hongzhi (2024). Time interval-enhanced graph neural network for shared-account cross-domain sequential recommendation. IEEE Transactions on Neural Networks and Learning Systems, 35 (3), 4002-4016. doi: 10.1109/tnnls.2022.3201533 |
2024 Journal Article XSimGCL: towards extremely simple graph contrastive learning for recommendationYu, Junliang, Xia, Xin, Chen, Tong, Cui, Lizhen, Hung, Nguyen Quoc Viet and Yin, Hongzhi (2024). XSimGCL: towards extremely simple graph contrastive learning for recommendation. IEEE Transactions on Knowledge and Data Engineering, 36 (2), 913-926. doi: 10.1109/tkde.2023.3288135 |
2024 Journal Article Self-supervised learning for recommender systems: a surveyYu, Junliang, Yin, Hongzhi, Xia, Xin, Chen, Tong, Li, Jundong and Huang, Zi (2024). Self-supervised learning for recommender systems: a survey. IEEE Transactions on Knowledge and Data Engineering, 36 (1), 335-355. doi: 10.1109/tkde.2023.3282907 |
2023 Journal Article Heterogeneous collaborative learning for personalized healthcare analytics via messenger distillationYe, Guanhua, Chen, Tong, Li, Yawen, Cui, Lizhen, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2023). Heterogeneous collaborative learning for personalized healthcare analytics via messenger distillation. IEEE Journal of Biomedical and Health Informatics, 27 (11), 5249-5259. doi: 10.1109/jbhi.2023.3247463 |
2023 Journal Article Reinforcement learning-enhanced shared-account cross-domain sequential recommendationGuo, Lei, Zhang, Jinyu, Chen, Tong, Wang, Xinhua and Yin, Hongzhi (2023). Reinforcement learning-enhanced shared-account cross-domain sequential recommendation. IEEE Transactions on Knowledge and Data Engineering, 35 (7), 7397-7411. doi: 10.1109/tkde.2022.3185101 |
2023 Journal Article Spatial-temporal meta-path guided explainable crime predictionSun, Yuting, Chen, Tong and Yin, Hongzhi (2023). Spatial-temporal meta-path guided explainable crime prediction. World Wide Web, 26 (4), 2237-2263. doi: 10.1007/s11280-023-01137-3 |
2023 Journal Article DeHIN: a decentralized framework for embedding large-scale heterogeneous information networksImran, Mubashir, Yin, Hongzhi, Chen, Tong, Huang, Zi and Zheng, Kai (2023). DeHIN: a decentralized framework for embedding large-scale heterogeneous information networks. IEEE Transactions on Knowledge and Data Engineering, 35 (4), 3645-3657. doi: 10.1109/TKDE.2022.3141951 |
2023 Journal Article Time-Aware Dynamic Graph Embedding for Asynchronous Structural EvolutionYang, Yu, Yin, Hongzhi, Cao, Jiannong, Chen, Tong, Nguyen, Quoc Viet Hung, Zhou, Xiaofang and Chen, Lei (2023). Time-Aware Dynamic Graph Embedding for Asynchronous Structural Evolution. IEEE Transactions on Knowledge and Data Engineering, 35 (9), 1-14. doi: 10.1109/tkde.2023.3246059 |
2023 Journal Article ReFRS: Resource-efficient Federated Recommender System for dynamic and diversified user preferencesImran, Mubashir, Yin, Hongzhi, Chen, Tong, Hung, Nguyen Quoc Viet, Zhou, Alexander and Zheng, Kai (2023). ReFRS: Resource-efficient Federated Recommender System for dynamic and diversified user preferences. ACM Transactions on Information Systems, 41 (3) 65, 65:1-65:30 . doi: 10.1145/3560486 |
2023 Journal Article Decentralized collaborative learning framework for next POI recommendationLong, Jing, Chen, Tong, Hung, Nguyen Quoc Viet and Yin, Hongzhi (2023). Decentralized collaborative learning framework for next POI recommendation. ACM Transactions on Information Systems, 41 (3) 66, 66:1-66:25. doi: 10.1145/3555374 |
2023 Journal Article Uniting heterogeneity, inductiveness, and efficiency for graph representation learningChen, Tong, Yin, Hongzhi, Ren, Jie, Huang, Zi, Zhang, Xiangliang and Wang, Hao (2023). Uniting heterogeneity, inductiveness, and efficiency for graph representation learning. IEEE Transactions on Knowledge and Data Engineering, 35 (2), 2103-2117. doi: 10.1109/TKDE.2021.3100529 |
2023 Journal Article Cost-effective synchrophasor data source authentication based on multiscale adaptive coupling correlation detrended analysisBai, Feifei, Cui, Yi, Yan, Ruifeng, Yin, Hongzhi, Chen, Tong, Dart, David and Yaghoobi, Jalil (2023). Cost-effective synchrophasor data source authentication based on multiscale adaptive coupling correlation detrended analysis. International Journal of Electrical Power and Energy Systems, 144 108606, 108606. doi: 10.1016/j.ijepes.2022.108606 |
2023 Journal Article TinyAD: memory-efficient anomaly detection for time series data in industrial IoTSun, Yuting, Chen, Tong, Nguyen, Quoc Viet Hung and Yin, Hongzhi (2023). TinyAD: memory-efficient anomaly detection for time series data in industrial IoT. IEEE Transactions on Industrial Informatics, 20 (1), 824-834. doi: 10.1109/tii.2023.3254668 |
2022 Journal Article Multiscale adaptive multifractal detrended fluctuation analysis-based source identification of synchrophasor dataCui, Yi, Bai, Feifei, Yin, Hongzhi, Chen, Tong, Dart, David, Zillmann, Matthew and Ko, Ryan K. L. (2022). Multiscale adaptive multifractal detrended fluctuation analysis-based source identification of synchrophasor data. IEEE Transactions on Smart Grid, 13 (6), 1-4. doi: 10.1109/tsg.2022.3207066 |
2022 Journal Article Integrating crop growth model and radiative transfer model to improve estimation of crop traits based on deep learningChen, Qiaomin, Zheng, Bangyou, Chen, Tong and Chapman, Scott C. (2022). Integrating crop growth model and radiative transfer model to improve estimation of crop traits based on deep learning. Journal of Experimental Botany, 73 (19), 6558-6574. doi: 10.1093/jxb/erac291 |