Liu, Yunxin

MoodScope: building a mood sensor from smartphone usage patterns

LiKamWa, R., Liu, Y., Lane, N. D., & Zhong, L. (2013) · Proceeding of the 11th annual international conference on Mobile systems, applications, and services

Context-Aware Activity Recognition SystemsEmotion and Mood Recognition

Cited by 444

PMC: A Privacy-preserving Deep Learning Model Customization Framework for Edge Computing

Liu, B., Li, Y., Liu, Y., Guo, Y., & Chen, X. (2020) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning

Cited by 95

DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection

Li, Y., Hua, J., Wang, H., Chen, C., & Liu, Y. (2021) · 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE)

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 75

A Survey of Resource-efficient LLM and Multimodal Foundation Models

Xu, M., Yin, W., Cai, D., Yi, R., Xu, D., Wang, Q., Wu, B., Zhao, Y., Yang, C., Wang, S., et al. (2024) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 44

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Li, Y., Wen, H., Wang, W., Li, X., Yuan, Y., Liu, G., Liu, J., Xu, W., Wang, X., Sun, Y., et al. (2024) · arXiv

Speech and dialogue systemsArtificial Intelligence Applications

Cited by 43