Yu, Lixing

7 publications

IJCAI 2025 Conditional Information Bottleneck-Based Multivariate Time Series Forecasting Xinhui Li, Liang Duan, Lixing Yu, Kun Yue, Yuehua Li

UAI 2025 Improving Graph Contrastive Learning with Community Structure Xiang Chen, Kun Yue, Liang Duan, Lixing Yu

UAI 2025 Probabilistic Semantics Guided Discovery of Approximate Functional Dependencies Liang Duan, Xinran Wu, Xinhui Li, Lixing Yu, Kun Yue

ACML 2024 FedLTF: Linear Probing Teaches Fine-Tuning to Mitigate Noisy Labels in Federated Learning Shaojie Zhan, Lixing Yu, Hanqi Chen, Tianxi Ji

IJCAI 2019 Learning to Learn Gradient Aggregation by Gradient Descent Jinlong Ji, Xuhui Chen, Qianlong Wang, Lixing Yu, Pan Li

ACML 2018 Multidimensional Time Series Anomaly Detection: A GRU-Based Gaussian Mixture Variational Autoencoder Approach Yifan Guo, Weixian Liao, Qianlong Wang, Lixing Yu, Tianxi Ji, Pan Li

ACML 2018 SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud Xuhui Chen, Jinlong Ji, Lixing Yu, Changqing Luo, Pan Li