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Chinese Name
黃隆锴
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Dive into the research topics where Long-Kai HUANG is active. Topic labels come from the works of this scholar.
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Collaborations and top research areas from the last five years
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Projects
- 1 Not started
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Synergistic Efficiency in Large Foundation Model Pre-training: Integrating Parameter-, Memory-, and Data-Efficient Techniques
HUANG, L.-K. (PI)
1/01/27 → 31/12/29
Project: Research project
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A pre-trained large generative model for translating single-cell transcriptomes to proteomes
Liu, L., Li, W., Wang, F., Li, Y., Huang, L. K., Wong, K. C., Yang, F. & Yao, J., Aug 2026, In: Nature Biomedical Engineering. 10, 8, p. 1672-1691 20 p.Research output: Contribution to journal › Journal article › peer-review
9 Citations (Scopus) -
Functional protein design and enhancement with ontology reinforcement iteration
He, B., Qin, C., Zhao, Y., Huang, L.-K., Wu, Z., Wang, F., Wu, F., Yang, F. & Yao, J., 19 Mar 2026, In: Nature Communications. 17, 1, 18 p., 4158.Research output: Contribution to journal › Journal article › peer-review
Open Access1 Citation (Scopus) -
UniPert-G2CP bridges genetic and chemical screens from molecular representation to phenotype modeling
Li, Y., Zeng, M., Zhu, J., Liu, L., Wang, F., Huang, L., Yang, F., Li, M. & Yao, J., 6 Aug 2026, In: Cell. 189, 16, p. 4946-4963.e8 27 p.Research output: Contribution to journal › Journal article › peer-review
Open Access -
Annotation-guided Protein Design with Multi-Level Domain Alignment
Yuan, C., Li, S., Ye, G., Zhang, Y., Huang, L. K., Huang, W., Liu, W., Yao, J. & Rong, Y., 20 Jul 2025, KDD 2025 - Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Sun, Y., Chierichetti, F., Lauw, H. W., Perlich, C., Tok, W. & Tomkins, A. (eds.). New York: Association for Computing Machinery (ACM), Vol. 1. p. 1855-1866 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access2 Citations (Scopus) -
Atomas: Hierarchical Adaptive Alignment on Molecule-Text for Unified Molecule Understanding and Generation
Zhang, Y., Ye, G., Yuan, C., Han, B., Huang, L.-K., Yao, J., Liu, W. & Rong, Y., 24 Apr 2025, Proceedings of the Thirteenth International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 59597-59625 29 p. (International Conference on Learning Representations, ICLR).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access6 Citations (Scopus)