2022 Proceeding- General Chairs:
- Aidong Zhang,
- Huzefa Rangwala
It is our great pleasure to welcome you back in person after a 2-year hiatus to the 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD2022), which is held between August 14th and 18th, 2022 at the Walter E. Washington Convention Center in Washington, DC, USA. This year's KDD continues its tradition of being the premier forum for presentation of research results and experience reports on leading edge issues of data science, machine learning, big data and artificial intelligence. The KDD 2022 program promises to be the most robust and diverse to date, with keynote presentations, industry-led sessions, workshops, and tutorials spanning a wide range of topics - from data-driven humanitarian mapping and applied data science in healthcare to the uses of artificial intelligence (AI) for climate mitigation and decision intelligence for online marketplaces.
Cited By
- Imgrund E, Ganz T, Härterich M, Pirch L, Risse N and Rieck K Broken Promises: Measuring Confounding Effects in Learning-based Vulnerability Discovery Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, (149-160)
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Huang R, Zhang D, Lu W, Li H, Wang M, Shi D, Fan J, Cheng Z, Gu S and Yin D (2023). Learning Discrete Document Representations in Web Search KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 10.1145/3580305.3599854, 9798400701030, (4185-4194), Online publication date: 6-Aug-2023.
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Wang H, Luo Z, Yip J, Ye C and Zhang M (2023). ECGGAN: A Framework for Effective and Interpretable Electrocardiogram Anomaly Detection KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 10.1145/3580305.3599812, 9798400701030, (5071-5081), Online publication date: 6-Aug-2023.
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Li X, Li Y, Mo X, Xiao H, Shen Y and Chen L (2023). Diga: Guided Diffusion Model for Graph Recovery in Anti-Money Laundering KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 10.1145/3580305.3599806, 9798400701030, (4404-4413), Online publication date: 6-Aug-2023.
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Hu X, Cheng Y, Zheng Z, Wang Y, Chi X and Zhu H (2023). BOSS: A Bilateral Occupational-Suitability-Aware Recommender System for Online Recruitment KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 10.1145/3580305.3599783, 9798400701030, (4146-4155), Online publication date: 6-Aug-2023.
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Fu D, Bao W, Maciejewski R, Tong H and He J (2023). Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey, ACM SIGKDD Explorations Newsletter, 10.1145/3606274.3606280, 25:1, (54-72), Online publication date: 22-Jun-2023.
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Gerogiannis G, Yesil S, Lenadora D, Cao D, Mendis C and Torrellas J (2023). SPADE: A Flexible and Scalable Accelerator for SpMM and SDDMM ISCA '23: 50th Annual International Symposium on Computer Architecture, 10.1145/3579371.3589054, 9798400700958, (1-15), Online publication date: 17-Jun-2023.
- Zhang J, Jin D and Li Y Mirage Proceedings of the 30th International Conference on Advances in Geographic Information Systems, (1-4)