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 -
SDG 7 Affordable and Clean Energy -
SDG 13 Climate Action
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Dive into the research topics where Bo Jiang 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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AutoTracer: A Low-Overhead Tracing Framework for Autonomous Driving System
Jiang, B., Shu, F., Cui, Y., Wang, X., Tang, P., Wang, L., Zhang, W., Wang, Y. & Wu, G., 28 Jul 2025, FSE Companion 2025 - Companion Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering. Li, J. (ed.). Association for Computing Machinery , p. 389-399 11 p. (Proceedings of the ACM SIGSOFT Symposium on the Foundations of Software Engineering).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Intelligent deepwater energy development: Flow assurance monitoring and smart decision-making system
Wang, J., Yang, B., Jin, K., Zhang, L., Wang, L., Jiang, B., Yao, H. & Song, Y., 14 Apr 2025, In: Innovation Energy. 2, 2, 100081.Research output: Contribution to journal › Article › peer-review
Open Access5 Link opens in a new tab Scopus citations -
TODO: ENHANCING LLM ALIGNMENT WITH TERNARY PREFERENCES
Guo, Y., Yin, L., Jiang, B. & Zhang, J., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 86896-86917 22 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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惯性约束聚变中的机器学习方法
Translated title of the contribution :Machine Learning Methods in Inertial Confinement Fusion Research output: Contribution to journal › Article › peer-review
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Unishyper: A Rust-based unikernel enhancing reliability and efficiency of embedded systems
Hu, K., Huang, W., Wang, L., Mo, C., Wang, R., Chen, Y., Ren, J. & Jiang, B., Aug 2024, In: Journal of Systems Architecture. 153, 103199.Research output: Contribution to journal › Article › peer-review
2 Link opens in a new tab Scopus citations