Wan, Yao

You see what I want you to see: poisoning vulnerabilities in neural code search

Wan, Y., Zhang, S., Zhang, H., Sui, Y., Xu, G., Yao, D., Jin, H., & Sun, L. (2022) · Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software Engineering ResearchAdversarial Robustness in Machine Learning

Cited by 60

WebCode2M: A Real-World Dataset for Code Generation from Webpage Designs

Gui, Y., Li, Z., Wan, Y., Shi, Y., Zhang, H., Chen, B., Su, Y., Chen, D., Wu, S., Zhou, X., et al. (2025) · Proceedings of the ACM on Web Conference 2025

Multimodal Machine Learning ApplicationsSoftware Engineering Research

Cited by 17

Sifting through the Chaff: On Utilizing Execution Feedback for Ranking the Generated Code Candidates

Sun, Z., Wan, Y., Li, J., Zhang, H., Jin, Z., Li, G., & Lyu, C. (2024) · Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 10

MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Huang, Y., Shi, J., Li, Y., Fan, C., Wu, S., Zhang, Q., Liu, Y., Zhou, P., Wan, Y., Gong, N. Z., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 7

MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark

Chen, D., Chen, R., Zhang, S., Liu, Y., Wang, Y., Zhou, H., Zhang, Q., Wan, Y., Zhou, P., & Sun, L. (2024) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 6

LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected?

Zhang, Q., Gao, C., Chen, D., Huang, Y., Huang, Y., Sun, Z., Zhang, S., Li, W., Fu, Z., Wan, Y., et al. (2024) · arXiv

Authorship Attribution and ProfilingDigital Media Forensic Detection

Cited by 3

Self-Cognition in Large Language Models: An Exploratory Study

Chen, D., Shi, J., Wan, Y., Zhou, P., Gong, N. Z., & Sun, L. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1