Projects per year
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Collaborations from the last five years
Projects
- 1 Active
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Inverse Design of Materials Using Diffusion Probabilistic Models
Smedskjær, M. M. (PI) & Hu, J. (PI)
01/04/2024 → 31/03/2026
Project: Research
Research output
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A Crystal Knowledge-Enhanced Pre-training Framework for Crystal Property Estimation
Yu, H., Song, Y., Hu, J., Guo, C., Yang, B. & Jensen, C. S., 2024, Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track: European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9–13, 2024, Proceedings, Part X. Bifet, A., Krilavičius, T., Miliou, I. & Nowaczyk, S. (eds.). Berlin, Heidelberg: Springer, p. 231-246 16 p. (Lecture Notes in Computer Science, Vol. LNCS 14950).Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
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AutoCTS++: Zero-shot Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting
Wu, X., Wu, X., Yang, B., Zhou, L., Guo, C., Qiu, X., Hu, J., Sheng, Z. & Jensen, C. S., Sept 2024, In: The VLDB Journal. 33, 5, p. 1743-1770 28 p., 5.Research output: Contribution to journal › Journal article › Research › peer-review
1 Citation (Scopus)292 Downloads (Pure) -
FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting
Li, Z., Qiu, X., Chen, P., Wang, Y., Cheng, H., Shu, Y., Hu, J., Guo, C., Zhou, A., Wen, Q., Jensen, C. S. & Yang, B., 2024, arXiv, 26 p.Research output: Working paper/Preprint › Preprint
Open AccessFile -
Learning Time-Aware Graph Structures for Spatially Correlated Time Series Forecasting
Ma, M., Hu, J., Jensen, C. S., Teng, F., Han, P., Xu, Z. & Li, T., 2024, Proceedings - 2024 IEEE 40th International Conference on Data Engineering, ICDE 2024. IEEE (Institute of Electrical and Electronics Engineers), p. 4435-4448 14 p.Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
3 Citations (Scopus) -
Pre-Training General Trajectory Embeddings With Maximum Multi-View Entropy Coding
Lin, Y., Wan, H., Guo, S., Hu, J., Jensen, C. S. & Lin, Y., 2024, In: I E E E Transactions on Knowledge & Data Engineering. 36, 12, p. 9037-9050 14 p., 12.Research output: Contribution to journal › Journal article › Research › peer-review
Press/Media
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Villum Synergy: Tværfaglig forskning giver god synergi
Nasrollahi, K., Ploug, T., Smedskjær, M. M., Waagepetersen, R., van Ommeren, J., Bjerva, J., Lindsay, E. & Hu, J.
02/10/2023
1 item of Media coverage
Press/Media: Press / Media