Yi, Jinfeng

Symmetric Cross Entropy for Robust Learning With Noisy Labels

Wang, Y., Ma, X., Chen, Z., Luo, Y., Yi, J., & Bailey, J. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Machine Learning and Data ClassificationAdvanced Neural Network Applications

Cited by 1,046

Trustworthy AI: From Principles to Practices

Li, B., Qi, P., Liu, B., Di, S., Liu, J., Pei, J., Yi, J., & Zhou, B. (2023) · ACM Computing Surveys

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 612

Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach

Cheng, M., Le, T., Chen, P.-Y., Yi, J., Zhang, H., & Hsieh, C.-J. (2018) · arXiv

Adversarial Robustness in Machine LearningSoftware Testing and Debugging Techniques

Cited by 269

On the Adversarial Robustness of Vision Transformers

Shao, R., Shi, Z., Yi, J., Chen, P.-Y., & Hsieh, C.-J. (2021) · arXiv

Adversarial Robustness in Machine LearningAdvanced Neural Network Applications

Cited by 68

Information retrieval, fusion, completion, and clustering for employee expertise estimation

Horesh, R., Varshney, K. R., & Yi, J. (2016) · 2016 IEEE International Conference on Big Data (Big Data)

AI and HR TechnologiesExpert finding and Q&A systems

Cited by 14