Research output per year
Research output per year
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Dive into the research topics where Yishu LI 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
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On the Influence of Data Resampling for Deep Learning-Based Log Anomaly Detection: Insights and Recommendations
Ma, X., Zou, H., He, P., Keung, J., Li, Y., Yu, X. & Sarro, F., 2025, In: IEEE Transactions on Software Engineering. 51, 1, p. 243-261 19 p.Research output: Contribution to journal › Article › peer-review
4 Citations (Scopus) -
Agile Requirements Engineering in a Distributed Environment: Experiences from the Software Industry during Unprecedented Global Challenges
Li, Y., Keung, J., Bennin, K. E., Ma, X., Zhang, J. & Yang, Z., 2024, Proceedings - 2024 IEEE 48th Annual Computers, Software, and Applications Conference, COMPSAC 2024. Shahriar, H., Ohsaki, H., Sharmin, M., Towey, D., Majumder, A. J. A., Hori, Y., Yang, J.-J., Takemoto, M., Sakib, N., Banno, R. & Ahamed, S. I. (eds.). p. 682-691 10 p. (Proceedings - 2024 IEEE 48th Annual Computers, Software, and Applications Conference, COMPSAC 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Citations (Scopus) -
A Semisupervised Approach for Industrial Anomaly Detection via Self-Adaptive Clustering
Ma, X., Keung, J., He, P., Xiao, Y., Yu, X. & Li, Y., 1 Feb 2024, In: IEEE Transactions on Industrial Informatics. 20, 2, p. 1687-1697 11 p.Research output: Contribution to journal › Article › peer-review
12 Citations (Scopus) -
Enhancing the Transferability of Adversarial Attacks for End-to-End Autonomous Driving Systems
Zhang, J., Keung, J., Ma, X., Liao, Y., Li, Y. & Sun, Y., 2024, Proceedings - 2024 31st Asia-Pacific Software Engineering Conference, APSEC 2024. p. 171-180 10 p. (Proceedings - Asia-Pacific Software Engineering Conference, APSEC).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Enhancing Valid Test Input Generation with Distribution Awareness for Deep Neural Networks
Zhang, J., Keung, J., Ma, X., Li, X., Xiao, Y., Li, Y. & Chan, W. K., 2024, Proceedings - 2024 IEEE 48th Annual Computers, Software, and Applications Conference, COMPSAC 2024. Shahriar, H., Ohsaki, H., Sharmin, M., Towey, D., Majumder, A. J. A., Hori, Y., Yang, J.-J., Takemoto, M., Sakib, N., Banno, R. & Ahamed, S. I. (eds.). p. 1095-1100 6 p. (Proceedings - 2024 IEEE 48th Annual Computers, Software, and Applications Conference, COMPSAC 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus)
Projects
- 1 Active
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LLM-Based Framework for Improving Requirement Traceability in Large-Scale Systems
LI, Y. (PI), Jacky KEUNG Wai (CoI) & Kayley MA Xiaoxue (CoI)
1/08/25 → 31/12/26
Project: Research