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 12 Responsible Consumption and Production
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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 Jingyuan Wang 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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Hierarchical Frequency-Decomposition Graph Neural Networks for Road Network Representation Learning
Ma, J., Wang, J. & Leong Hou, U., 2026, Proceedings of the AAAI Conference on Artificial Intelligence. Koenig, S., Jenkins, C. & Taylor, M. E. (eds.). 18 ed. Association for the Advancement of Artificial Intelligence, p. 15510-15518 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 40, no. 18).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
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, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 48, 5, p. 5442-5459 18 p.Research output: Contribution to journal › Article › peer-review
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ICAD-LLM: One-for-All Anomaly Detection via In-Context Learning with Large Language Models
Wu, Z., Wang, J., Cheng, Z., Zhou, Y., Wang, W., Pu, J., Li, C. & Ma, C., 2026, In: Proceedings of the AAAI Conference on Artificial Intelligence. 40, 19, p. 15986-15994 9 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Integrating Blended Learning Behaviors via Multimodal Fusion for Student Performance Prediction
Wan, H., Yue, S., Li, M., Luo, X., Hu, Y., Che, B. & Wang, J., 2026, In: IEEE Transactions on Learning Technologies. 19, p. 87-104 18 p.Research output: Contribution to journal › Article › peer-review
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Multi-Agent Pointer Transformer: Seq-to-Seq Reinforcement Learning for Multi-Vehicle Dynamic Pickup-Delivery Problems
Zou, Z., Wang, J., Huang, Y. & Wu, J., 2026, In: Proceedings of the AAAI Conference on Artificial Intelligence. 40, 19, p. 16593-16601 9 p.Research output: Contribution to journal › Conference article › peer-review
Open Access