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 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 11 Sustainable Cities and Communities -
SDG 13 Climate Action -
SDG 14 Life Below Water
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Dive into the research topics where Dianhui Chu 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
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Catalog, Impact, and Evaluation of Microservice Bad Smells: A Systematic Literature Review
Xing, Y., Tu, Z., Chu, D., Yang, W. & Lv, Y., Apr 2026, In: Software - Practice and Experience. 56, 4, p. 372-423 52 p.Research output: Contribution to journal › Article › peer-review
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Enhancing Privacy-Preserving Knowledge Graph Embeddings with Federated Learning for IoT Services
Sun, H., Bi, X., Tu, Z., Zhao, B., Zhang, K., Chu, D. & Xu, X., 15 Jan 2026, In: ACM Transactions on Internet Technology. 26, 1, 16.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Scopus citations -
KE4RDB: A Domain Knowledge Extraction Approach for Relational Databases
Guan, T., Zhang, K., Song, B., Tu, Z., Cui, H., Xing, Y., Zhao, B., Li, Y., Chu, D. & Zhang, M., 2026, Service Science - 18th International Conference, ICSS 2025, Revised Selected Papers. Liu, X., Zhang, P. & Ma, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 205-220 16 p. (Communications in Computer and Information Science; vol. 2626 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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LaGraph: Laplacian-Guided Graph Learning for Time Series Anomaly Detection
Zeng, S., Chao, G., Wei, J., Yu, Y., Wang, Z. & Chu, 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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Towards enhanced LLM pretraining: Dynamic checkpoint merging via generation quality
Wang, Z., Liu, D., Li, C., Chu, D., Chen, W., Wang, B. & Sui, D., Jan 2026, In: Information Fusion. 125, 103415.Research output: Contribution to journal › Article › peer-review