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  • Graph Mining and Machine Learning for Shader Codes Analysis to Accelerate GPU Tuning

    Zhao, L., Khan, A., Luo, R. & Yeo, C. K., 2023, Graph Mining and Machine Learning for Shader Codes Analysis to Accelerate GPU Tuning. International Conference on Complex Networks and Their Applications: Springer Publishing Company, p. 426-439 14 p. (Studies in Computational Intelligence (Springer SCI), Vol. 1077).

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

  • Most Probable Densest Subgraphs

    Saha, A., Ke, X., Khan, A. & Long, C., 2023, Most Probable Densest Subgraphs. IEEE International Conference on Data Engineering: IEEE

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

  • Voting-based Opinion Maximization

    Saha, A., Ke, X., Khan, A. & Lakshmanan, L. V. S., 2023, Voting-based Opinion Maximization. IEEE International Conference on Data Engineering 2023: IEEE

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

  • Approximate and Interactive Processing of Aggregate Queries on Knowledge Graphs: A Demonstration

    Wang, Y., Khan, A., Xu, X., Ye, S., Pan, S. & Zhou, Y., 17 Oct 2022, CIKM 2022 - Proceedings of the 31st ACM International Conference on Information and Knowledge Management. 31st ACM International Conference on Information and Knowledge Management (CIKM ’22), October 17–21, 2022, Atlanta, GA, USA. : ACM, New York, NY, USA, p. 5034-5038 5 p.

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

  • Efficiently Embedding Dynamic Knowledge Graphs

    Wu, T., Khan, A., Yong, M., Qi, G. & Wang, M., 17 Aug 2022, In: Knowledge-Based Systems. 250, 109124.

    Research output: Contribution to journalJournal articleResearchpeer-review

    2 Citations (Scopus)