Projects per year
Personal profile
Research interests
Computer Science / Information Technology - Data-driven machine learning
Computer Science / Information Technology - Database systems
Computer Science / Information Technology - Distributed systems
Computer Science / Information Technology - Distributed computing
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):
Related documents
Education/Academic qualification
PhD in Computer Science, PhD, Rice University
2020
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Collaborations and top research areas from the last five years
Projects
- 3 Active
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Breaking the LLM Resource Wall: A Novel Computing System based on a Heterogeneous, Disaggregated Cloud Infrastructure
WANG, X. (CoPI), YE, C. (CoPI), YUAN, B. (CoPI), LI, B. (PI), JIN, H. (PI), WANG, C. (CoPI) & WANG, W. (CoPI)
1/01/25 → 31/12/28
Project: Research
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Accommodating Open Foundation Model Training over Decentralized Computational Resources
YUAN, B. (PI)
1/07/24 → 30/06/27
Project: Research
Research output
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Climateagent: Multi-Agent Orchestration for Complex Climate Data Science Workflows
Kim, H., Li, C., Deng, W., Jin, M., Huang, W., Lu, M. & Yuan, B., 25 Nov 2025.Research output: Working paper › Preprint
File -
DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM Inference
Yao, J., Chen, K., Zhang, K., You, J., Yuan, B., Wang, Z. & Lin, T., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 3587-3618 32 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review
2 Citations (Scopus) -
Demystifying Cost-Efficiency in LLM Serving over Heterogeneous GPUs
Jiang, Y., Fu, F., Yao, X., He, G., Miao, X., Klimovic, A., Cui, B., Yuan, B. & Yoneki, E., 2025, In: Proceedings of Machine Learning Research. 267, p. 27534-27552 19 p.Research output: Contribution to journal › Conference article published in journal › peer-review
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Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration
Bai, T., Yang, L., Wong, Z. H., Sun, F., Zhuang, X., Peng, J., Zhang, C., Wu, L., Qiu, J., Zhang, W., Yuan, B. & He, C., Jul 2025, Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics . Che, W., Nabende, J., Shutova, E. & Pilehvar, M. T. (eds.). Association for Computational Linguistics (ACL), Vol. 1. p. 9465-9491 27 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review
1 Citation (Scopus) -
HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment
Jiang, Y., Yan, R. & Yuan, B., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 26712-26729 18 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review
1 Citation (Scopus)