Lixing Yu

34 papers A* 3A 5B 2C 3Misc 1Journal 15Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Task-Aware LLM Council with Adaptive Decision Pathways for Decision Support.
CoRR
Wei Zhu, Lixing Yu, Hao-Ren Yao, Zhiwen Tang, Kun Yue
2025 A* conf
Conditional Information Bottleneck-Based Multivariate Time Series Forecasting.
IJCAI
Xinhui Li, Liang Duan, Lixing Yu, Kun Yue, Yuehua Li
2025 A conf
Differentiable Probabilistic Logic Reasoning For Knowledge Graph Completion.
CIKM
Zhongbin Li, Lixing Yu, Kun Yue, Xinquan Wu
2025 J jnl
FedELR: When federated learning meets learning with noisy labels.
Neural Networks
Ruizhi Pu, Lixing Yu, Shaojie Zhan, Gezheng Xu, Fan Zhou, Charles X. Ling, Boyu Wang
2025 A conf
FedFMD: Fairness-Driven Adaptive Aggregation in Federated Learning via Mahalanobis Distance.
CIKM
Xiuting Weng, Lixing Yu, Shaojie Zhan, Ruizhi Pu, Xiaofei Liu
2025 A conf
Improving Graph Contrastive Learning with Community Structure.
UAI
Xiang Chen, Kun Yue, Liang Duan, Lixing Yu
2025 A conf
Probabilistic Semantics Guided Discovery of Approximate Functional Dependencies.
UAI
Liang Duan, Xinran Wu, Xinhui Li, Lixing Yu, Kun Yue
2025 J jnl
SpikingViT: A Multiscale Spiking Vision Transformer Model for Event-Based Object Detection.
IEEE Trans. Cogn. Dev. Syst.
Lixing Yu, Hanqi Chen, Ziming Wang, Shaojie Zhan, Jiankun Shao, Qingjie Liu, Shu Xu
2025 A conf
Structural Entropy-based Multivariate Time Series Forecasting.
CIKM
Xinhui Li, Kun Yue, Lixing Yu, Peizhong Yang
2025 Misc conf
Time-independent Spiking Neuron via Membrane Potential Estimation for Efficient Spiking Neural Networks.
ICASSP
Hanqi Chen, Lixing Yu, Shaojie Zhan, Penghui Yao, Jiankun Shao
2024 — conf
Anomaly Detection for Multivariate Time Series with Multi-scale Feature Interactions.
DASFAA (5)
Fulu Kou, Lixing Yu, Kun Yue, Liang Duan, Zhongbin Li
2024 J jnl
Efficient Federated Learning With Channel Status Awareness and Devices' Personal Touch.
IEEE Trans. Mob. Comput.
Lixing Yu, Tianxi Ji
2024 C conf
FedLTF: Linear Probing Teaches Fine-tuning to Mitigate Noisy Labels in Federated Learning.
ACML
Shaojie Zhan, Lixing Yu, Hanqi Chen, Tianxi Ji
2024 J jnl
Time-independent Spiking Neuron via Membrane Potential Estimation for Efficient Spiking Neural Networks.
CoRR
Hanqi Chen, Lixing Yu, Shaojie Zhan, Penghui Yao, Jiankun Shao
2022 B conf
An Anomaly Detection System for Transparent Objects Using Polarized-Image Fusion Technique.
SAS
Lixing Yu, Atsutake Kosuge, Mototsugu Hamada, Tadahiro Kuroda
2022 J jnl
Energy-Efficient Computation Offloading in Mobile Edge Computing Systems With Uncertainties.
IEEE Trans. Wirel. Commun.
Tianxi Ji, Changqing Luo, Lixing Yu, Qianlong Wang, Siheng Chen, Arun Thapa, Pan Li
2022 J jnl
Energy-Efficient Computation Offloading in MobileEdge Computing Systems with Uncertainties.
CoRR
Tianxi Ji, Changqing Luo, Lixing Yu, Qianlong Wang, Siheng Chen, Arun Thapa, Pan Li
2021 J jnl
Deep Q-Network-Based Feature Selection for Multisourced Data Cleaning.
IEEE Internet Things J.
Qianlong Wang, Yifan Guo, Lixing Yu, Xuhui Chen, Pan Li
2021 J jnl
STEP: A Spatio-Temporal Fine-Granular User Traffic Prediction System for Cellular Networks.
IEEE Trans. Mob. Comput.
Lixing Yu, Ming Li, Wenqiang Jin, Yifan Guo, Qianlong Wang, Feng Yan, Pan Li
2021 B conf
Weak Signal Detection in 5G+ Systems: A Distributed Deep Learning Framework.
MobiHoc
Yifan Guo, Lixing Yu, Qianlong Wang, Tianxi Ji, Yuguang Fang, Jin Wei-Kocsis, Pan Li
2020 J jnl
AI at the Edge: Blockchain-Empowered Secure Multiparty Learning With Heterogeneous Models.
IEEE Internet Things J.
Qianlong Wang, Yifan Guo, Xufei Wang, Tianxi Ji, Lixing Yu, Pan Li
2020 J jnl
Community Detection in Online Social Networks: A Differentially Private and Parsimonious Approach.
IEEE Trans. Comput. Soc. Syst.
Tianxi Ji, Changqing Luo, Yifan Guo, Qianlong Wang, Lixing Yu, Pan Li
2020 J jnl
Earthquake Prediction Based on Spatio-Temporal Data Mining: An LSTM Network Approach.
IEEE Trans. Emerg. Top. Comput.
Qianlong Wang, Yifan Guo, Lixing Yu, Pan Li
2020 J jnl
Spectrum Availability Prediction for Cognitive Radio Communications: A DCG Approach.
IEEE Trans. Cogn. Commun. Netw.
Lixing Yu, Yifan Guo, Qianlong Wang, Changqing Luo, Ming Li, Weixian Liao, Pan Li
2020 J jnl
TrafficChain: A Blockchain-Based Secure and Privacy-Preserving Traffic Map.
IEEE Access
Qianlong Wang, Tianxi Ji, Yifan Guo, Lixing Yu, Xuhui Chen, Pan Li
2020 J jnl
Unsupervised Anomaly Detection in IoT Systems for Smart Cities.
IEEE Trans. Netw. Sci. Eng.
Yifan Guo, Tianxi Ji, Qianlong Wang, Lixing Yu, Geyong Min, Pan Li
2019 — conf
Exploring Spatial-Temporal Patterns From Individual User Cellular Traffic.
DySPAN
Lixing Yu, Wenqiang Jin, Ming Li, Pan Li
2019 A* conf
Learning to Learn Gradient Aggregation by Gradient Descent.
IJCAI
Jinlong Ji, Xuhui Chen, Qianlong Wang, Lixing Yu, Pan Li
2019 — conf
PerRNN: Personalized Recurrent Neural Networks for Acceleration-Based Human Activity Recognition.
ICC
Xufei Wang, Weixian Liao, Yifan Guo, Lixing Yu, Qianlong Wang, Miao Pan, Pan Li
2019 A* conf
Quantized Adversarial Training: An Iterative Quantized Local Search Approach.
ICDM
Yifan Guo, Tianxi Ji, Qianlong Wang, Lixing Yu, Pan Li
2018 — conf
Cross-Domain Sentiment Classification via a Bifurcated-LSTM.
PAKDD (1)
Jinlong Ji, Changqing Luo, Xuhui Chen, Lixing Yu, Pan Li
2018 C conf
Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach.
ACML
Yifan Guo, Weixian Liao, Qianlong Wang, Lixing Yu, Tianxi Ji, Pan Li
2018 — conf
Online Power Control for 5G Wireless Communications: A Deep Q-Network Approach.
ICC
Changqing Luo, Jinlong Ji, Qianlong Wang, Lixing Yu, Pan Li
2018 C conf
SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud.
ACML
Xuhui Chen, Jinlong Ji, Lixing Yu, Changqing Luo, Pan Li