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
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SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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SDG 15 Life on Land
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SDG 16 Peace, Justice and Strong Institutions
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Dive into the research topics where XIANGYU ZHAO 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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Projects
- 1 Active
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生成式推荐算法研究校企合作项目
ZHAO, X. (PI)
1/02/26 → 31/01/27
Project: Non-government funded projects › Technical Development
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CTKGRec: A context-aware temporal knowledge graph reasoning model for next POI recommendation
Pan, Q., Zheng, H., Zhao, Z., Kong, X., Shen, G. & Zhao, X., 1 Feb 2026, In: Expert Systems with Applications. 297, 129224.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Scopus citations -
DeepCGC: Unveiling the Deep Clustering Mechanism of Fast Graph Condensation
Gao, X., Li, W., Chen, T., Zhao, X., Nguyen, Q. V. H. & Yin, H., 2026, In: IEEE Transactions on Knowledge and Data Engineering. 38, 3, p. 1575-1588 14 p.Research output: Contribution to journal › Article › peer-review
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Generating Compressed Counterfactual Hard Negative Samples for Graph Contrastive Learning
Yang, H., Chen, H., Zhao, X., Zhang, S., Sun, X., Li, Q., Yin, H. & Xu, G., 2026, (Accepted/In press) In: CAAI Transactions on Intelligence Technology.Research output: Contribution to journal › Article › peer-review
Open Access -
LLM4CGDS: Large language model-based agents for Chinese graded document simplification
Fang, D., Qiang, J., Hou, W., Zhu, Y., Gao, J. & Zhao, X., 1 Apr 2026, In: Engineering Applications of Artificial Intelligence. 169, 113905.Research output: Contribution to journal › Article › peer-review
Open Access -
Sparse Gradient Training for Recommender Systems
Qu, Y., Qu, L., Chen, T., Zhao, X., Li, J. & Yin, H., 2026, (Accepted/In press) In: Data Science and Engineering.Research output: Contribution to journal › Article › peer-review
Open Access