Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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Dive into the research topics where Donghua Yang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Design of a Highly Robust Regression Rule Mining Algorithm for Time Series Data
Guan, Y., Yang, D., Li, M., Wang, H., Wang, H., Zheng, S., Meng, X. & Zhu, S., 2026, Green, Pervasive, and Cloud Computing - 19th International Conference, GPC 2024, Proceedings. Zhou, X., Yu, C., Guo, S., Wang, J., Song, X. & Lu, Z. (eds.). Springer Science and Business Media Deutschland GmbH, p. 133-148 16 p. (Lecture Notes in Computer Science; vol. 15225 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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FinePar: A Fine-Grained Data Partitioning Framework for Cloud-Edge-Device Architectures
Cui, S., Wang, H., Lin, J., Ding, X. & Yang, D., 2026, (Accepted/In press) In: IEEE Transactions on Knowledge and Data Engineering.Research output: Contribution to journal › Article › peer-review
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LW-CQ: ML-Driven Cardinality Estimation for Complex Queries
Qiu, J., Yang, D. H., Li, M., Guo, H., Wang, H. & Wang, H., 2026, Data Science - 11th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2025, Proceedings. Yu, Y., Pan, H., Han, Q., Wang, H., Yu, C., Liu, H., Song, X. & Lu, Z. (eds.). Springer Science and Business Media Deutschland GmbH, p. 417-427 11 p. (Communications in Computer and Information Science; vol. 2673 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Reinforcement Learning for Time-Series Query Optimization
Zou, S., Yang, D. H., Li, M., Guo, H., Wang, H. & Wang, H., 2026, Data Science - 11th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2025, Proceedings. Yu, Y., Pan, H., Han, Q., Wang, H., Yu, C., Liu, H., Song, X. & Lu, Z. (eds.). Springer Science and Business Media Deutschland GmbH, p. 271-281 11 p. (Communications in Computer and Information Science; vol. 2673 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Revisiting data analysis with Pre-trained foundation models: Pre-trained foundation model-enhanced scalability
Liang, C., Yang, D., Liang, Z., Liang, Z., Zhang, T., Xiao, B., Yang, Y., Wang, W. & Wang, H., Jan 2026, In: VLDB Journal. 35, 1, 10.Research output: Contribution to journal › Article › peer-review