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 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action -
SDG 14 Life Below Water
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Dive into the research topics where Junjie Wu 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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How to Break It Down for Building It Up? Theory-Guided Graph Decomposition Learning for Spatiotemporal Traffic Prediction
Ji, J., Wang, J., Mou, Y., Long, C. & Wu, J., 2026, (Accepted/In press) In: IEEE Transactions on Pattern Analysis and Machine Intelligence.Research output: Contribution to journal › Article › peer-review
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Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
Han, C., Wang, J., Wang, Y., Yu, X., Lin, H., Li, C. & Wu, J., 11 Apr 2025, In: Proceedings of the AAAI Conference on Artificial Intelligence. 39, 11, p. 11763-11771 9 p.Research output: Contribution to journal › Conference article › peer-review
Open Access3 Link opens in a new tab Scopus citations -
Efficient and Flexible Long-Tail Recommendation Using Cosine Patterns
Wang, Y., Wu, J., Wu, Z. & Adomavicius, G., Mar 2025, In: INFORMS Journal on Computing. 37, 2, p. 446-464 19 p.Research output: Contribution to journal › Article › peer-review
2 Link opens in a new tab Scopus citations -
Learning-Based Privacy-Preserving Graph Publishing Against Sensitive Link Inference Attacks
Wu, Y., Yang, Y., Han, X., Wang, L. & Wu, J., 2025, In: IEEE Transactions on Information Forensics and Security. 20, p. 8327-8340 14 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Scopus citations -
Learning Universal Multi-level Market Irrationality Factors to Improve Stock Return Forecasting
Yang, C., Wang, J., Jiang, X. & Wu, J., 20 Jul 2025, KDD 2025 - Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery , p. 1739-1750 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Link opens in a new tab Scopus citations