Wang, Fei

Deep learning in mental health outcome research: a scoping review

Su, C., Xu, Z., Pathak, J., & Wang, F. (2020) · Translational Psychiatry

Artificial Intelligence in HealthcareMachine Learning in Healthcare

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Groupwise point pattern registration using a novel CDF-based Jensen-Shannon Divergence

Wang, F., Vemuri, B. C., & Rangarajan, A. (2006) · 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06)

3D Shape Modeling and AnalysisMedical Image Segmentation Techniques

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Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking

Xu, N., Wang, F., Zhou, B., Li, B., Xiao, C., & Chen, M. (2024) · Findings of the Association for Computational Linguistics: NAACL 2024

Adversarial Robustness in Machine LearningTopic Modeling

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Exploring Language-Agnostic Speech Representations Using Domain Knowledge for Detecting Alzheimer’s Dementia

Shah, Z., Qi, S.-A., Wang, F., Farrokh, M., Tasnim, M., Stroulia, E., Greiner, R., Plitsis, M., & Katsamanis, A. (2023) · ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Dementia and Cognitive Impairment ResearchVoice and Speech Disorders

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Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection

Wu, Y., Gu, M., Wang, L., Lin, Y., Wang, F., & Yang, H. (2021) · arXiv

Anomaly Detection Techniques and ApplicationsTime Series Analysis and Forecasting

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