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 7 Affordable and Clean Energy
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Dive into the research topics where Li Han 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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MixRecLGB: Language-Enhanced Mixed Attention for Temporal Context Modeling in Time Series Forecasting
Mei, Y., Zhang, L., Han, L. & Liu, J., 2026, Engineering of Complex Computer Systems - 29th International Conference, ICECCS 2025, Proceedings. Zhou, Y., Ding, Z., Teo, S. G., Xie, X. & Liu, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 79-97 19 p. (Lecture Notes in Computer Science; vol. 15746 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Spatio-Temporal Decoupled Heterogeneous Graph Network for Systemic Risk Prediction
Ying, L., Zhang, L., Chen, Y., Han, L. & Cheng, D., 2026, Advanced Data Mining and Applications - 21st International Conference, ADMA 2025, Proceedings. Yoshikawa, M., Meng, X., Cao, Y., Xiao, C., Chen, W. & Wang, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 114-129 16 p. (Lecture Notes in Computer Science; vol. 16200 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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DLST: A Novel Framework for Market Risk Stress Testing via EXformer
Chen, F., Liu, J., Han, Z. & Han, L., 2025, International Joint Conference on Neural Networks, IJCNN 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings of the International Joint Conference on Neural Networks).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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FCMH: Fast Cluster Multi-hop Model for Graph Fraud Detection
Zhang, R., Li, W., Ning, X., Cheng, D., Han, L. & Yang, H., 2025, Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Proceedings. Sheng, Q. Z., Zhang, X., Wu, J., Ma, C., Dobbie, G., Jiang, J., Zhang, W. E., Manolopoulos, Y. & Mansoor, W. (eds.). Springer Science and Business Media Deutschland GmbH, p. 34-49 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15389 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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GEM-GNN: Group Enhanced Multi-relation Graph Neural Networks for Fraud Detection
Wang, L., Cheng, Z., Yang, M., Han, L., Cheng, D., Xie, L. & Tian, H., 2025, Advanced Data Mining and Applications - 20th International Conference, ADMA 2024, Proceedings. Sheng, Q. Z., Zhang, X., Wu, J., Ma, C., Dobbie, G., Jiang, J., Zhang, W. E., Manolopoulos, Y. & Mansoor, W. (eds.). Springer Science and Business Media Deutschland GmbH, p. 275-290 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15389 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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