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| [5] | Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience (Thanh Trung Huynh, Trong Bang Nguyen, Phi Le Nguyen, Thanh Tam Nguyen, Matthias Weidlich, Quoc Viet Hung Nguyen, and Karl Aberer), In Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part V (Albert Bifet, Jesse Davis, Tomas Krilavicius, Meelis Kull, Eirini Ntoutsi, Indre Zliobaite, eds.), Springer, volume 14945, 2024. |
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| [4] | Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction (Thanh Trung Huynh, Minh Hieu Nguyen, Thanh Tam Nguyen, Phi Le Nguyen, Matthias Weidlich, Quoc Viet Hung Nguyen, and Karl Aberer), In Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023 (Tat-Seng Chua, Hady W. Lauw, Luo Si, Evimaria Terzi, Panayiotis Tsaparas, eds.), ACM, 2023. |
| [3] | Scalable maximal subgraph mining with backbone-preserving graph convolutions (Thanh Toan Nguyen, Thanh Trung Huynh, Matthias Weidlich, Quan Thanh Tho, Hongzhi Yin, Karl Aberer, and Quoc Viet Hung Nguyen), In Inf. Sci., volume 644, 2023. |
| [2] | Detecting rumours with latency guarantees using massive streaming data (Thanh Tam Nguyen, Thanh Trung Huynh, Hongzhi Yin, Matthias Weidlich, Thanh Thi Nguyen, Son Thai Mai, and Quoc Viet Hung Nguyen), In VLDB J., volume 32, 2023. |
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| [1] | Adaptive Network Alignment with Unsupervised and Multi-order Convolutional Networks (Thanh Trung Huynh, Van Vinh Tong, Thanh Tam Nguyen, Hongzhi Yin, Matthias Weidlich, and Nguyen Quoc Viet Hung), In 36th IEEE International Conference on Data Engineering, ICDE 2020, Dallas, TX, USA, April 20-24, 2020, IEEE, 2020. |