Guo, Yike

DeepSleepNet: a model for automatic sleep stage scoring based on raw single-channel EEG

Supratak, A., Dong, H., Wu, C., & Guo, Y. (2017) · IEEE Transactions on Neural Systems and Rehabilitation Engineering

EEG and Brain-Computer InterfacesEmotion and Mood Recognition

Cited by 1,376

Privacy preservation in federated learning: An insightful survey from the GDPR perspective

Truong, N., Sun, K., Wang, S., Guitton, F., & Guo, Y. (2021) · Computers & Security

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 399

GDPR-Compliant Personal Data Management: A Blockchain-Based Solution

Truong, N. B., Sun, K., Lee, G. M., & Guo, Y. (2020) · IEEE Transactions on Information Forensics and Security

Blockchain Technology Applications and SecurityDigitalization, Law, and Regulation

Cited by 339

Semantic Image Synthesis via Adversarial Learning

Dong, H., Yu, S., Wu, C., & Guo, Y. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 276

XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data

Withnell, E., Zhang, X., Sun, K., & Guo, Y. (2021) · Briefings in Bioinformatics

Explainable Artificial Intelligence (XAI)Gene expression and cancer classification

Cited by 106

Integrated multi-omics analysis using variational autoencoders: Application to Pan-cancer Classification

Zhang, X., Zhang, J., Sun, K., Yang, X., Dai, C., & Guo, Y. (2019) · 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Gene expression and cancer classificationBioinformatics and Genomic Networks

Cited by 93

Consistency, comprehensiveness, and compatibility of pathway databases

Soh, D., Dong, D., Guo, Y., & Wong, L. (2010) · BMC Bioinformatics

Bioinformatics and Genomic NetworksBiomedical Text Mining and Ontologies

Cited by 74

SafeLawBench: Towards Safe Alignment of Large Language Models

Cao, C., Zhu, H., Ji, J., Sun, Q., Zhu, Z., Yinyu, W., Dai, J., Yang, Y., Han, S., & Guo, Y. (2025) · Findings of the Association for Computational Linguistics: ACL 2025

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 6

STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs

Dong, P., Li, L., Zhong, Y., Du, D., Fan, R., Chen, Y., Tang, Z., Wang, Q., Xue, W., Guo, Y., et al. (2024) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 1

Improving Model Fusion by Training-time Neuron Alignment with Fixed Neuron Anchors

Li, Z., Li, Z., Lin, J., Shen, T., Xiao, J., Guo, Y., Lin, T., & Wu, C. (2024) · arXiv

Domain Adaptation and Few-Shot LearningPrivacy-Preserving Technologies in Data

Cited by 0

IndexMem: Learned KV-Cache Eviction with Latent Memory for Long-Context LLM Inference

Yang, X., Gu, H., Xu, B., Li, L., Liu, B., Liu, J., Zhu, Q., Guo, Y., & Han, S. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Self-Evolving Deep Research via Joint Generation and Evaluation

Zhu, H., Cai, C., Song, Y., Chen, X., Han, S., & Guo, Y. (2026) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

A Theory of Reliable Self-Evolution for Agent Harnesses

Cai, Q., Zhang, Y., Nie, J., Ran, M., Zheng, H., Song, J., Tian, X., Guo, Y., & Xue, W. (2026) · arXiv

Evolutionary Algorithms and ApplicationsAI-based Problem Solving and Planning

Cited by 0