Personal profile
Personal profile
Yanlei Diao joined Ecole Polytechnique as Professor of Computer Science in September 2015. She is also Professor of Computer Science at the University of Massachusetts Amherst, USA. She received her PhD in Computer Science from the University of California, Berkeley in 2005.
Research interests
Education/Academic qualification
HDR (PhD Supervision Credentials)
External positions
Professor of Computer Science, University of Massachusetts Amherst
1 Sept 2015 → …
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Collaborations and top research areas from the last five years
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Graph Transformers for !ery Plan Representation: Potentials and Challenges
Lyu [email protected], C., Lachaud [email protected], G., Lozano, G. & Diao, Y., 1 Jan 2025, In: Proceedings of the VLDB Endowment. 18, 13, p. 5716-5730 15 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Unsupervised Anomaly Detection in Multivariate Time Series across Heterogeneous Domains
Jacob, V. & Diao, Y., 1 Jan 2025, In: Proceedings of the VLDB Endowment. 18, 6, p. 1691-1704 14 p.Research output: Contribution to journal › Conference article › peer-review
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A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning
Lyu, C., Fan, Q., Guyard, P. & Diao, Y., 1 Jan 2024, In: Proceedings of the VLDB Endowment. 17, 11, p. 3565-3579 15 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Efficient and robust active learning methods for interactive database exploration
Huang, E., Diao, Y., Liu, A., Peng, L. & Palma, L. D., 1 Jul 2024, In: VLDB Journal. 33, 4, p. 931-956 26 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Efficient Version Space Algorithms for Human-in-the-loop Model Development
Palma, L. D., Diao, Y. & Liu, A., 12 Jan 2024, In: ACM Transactions on Knowledge Discovery from Data. 18, 3, 69.Research output: Contribution to journal › Article › peer-review
Open Access -
Forecasting Algorithms for Intelligent Resource Scaling: An Experimental Analysis
Diao, Y., Horn, D., Kipf, A., Shchur, O., Benito, I., Dong, W., Pagano, D., Pfeil, P., Nathan, V., Narayanaswamy, B. & Kraska, T., 20 Nov 2024, SoCC 2024 - Proceedings of the 2024 ACM Symposium on Cloud Computing. Association for Computing Machinery, Inc, p. 126-143 18 p. (SoCC 2024 - Proceedings of the 2024 ACM Symposium on Cloud Computing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing
Lyu, C., Fan, Q., Song, F., Sinha, A., Diao, Y., Chen, W., Ma, L., Feng, Y., Li, Y., Zeng, K. & Zhou, J., 1 Jan 2022, In: Proceedings of the VLDB Endowment. 15, 11, p. 3098-3111 14 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
A demonstration of the exathlon benchmarking platform for explainable anomaly detection
Jacob, V., Song, F., Stiegler, A., Rad, B., Diao, Y. & Tatbul, N., 1 Jan 2021, In: Proceedings of the VLDB Endowment. 14, 12, p. 2827-2830 4 p.Research output: Contribution to journal › Conference article › peer-review
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Efficient Exploration of Interesting Aggregates in RDF Graphs
Diao, Y., Guzewicz, P., Manolescu, I. & Mazuran, M., 1 Jan 2021, In: Proceedings of the ACM SIGMOD International Conference on Management of Data. p. 392-404 13 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Exathlon: A benchmark for explainable anomaly detection over time series
Jacob, V., Song, F., Stiegler, A., Rad, B., Diao, Y. & Tatbul, N., 1 Jan 2021, In: Proceedings of the VLDB Endowment. 14, 11, p. 2613-2626 14 p.Research output: Contribution to journal › Conference article › peer-review