Yue Ju

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Empirical Bayes

Regularization Method

Top Venues

Publications

Shuangyi Chen, Yue Ju, Zhongwen Zhu, Ashish Khisti
Secure Inference for Vertically Partitioned Data Using Multiparty Homomorphic Encryption. CoRR (2024)
Conrado Boeira, Antor Hasan, Khaleda Papry, Yue Ju, Zhongwen Zhu, Israat Haque
A Calibrated and Automated Simulator for Innovations in 5G. CoRR (2024)
Antor Hasan, Conrado Boeira, Khaleda Papry, Yue Ju, Zhongwen Zhu, Israat Haque
Root Cause Analysis of Anomalies in 5G RAN Using Graph Neural Network and Transformer. CoRR (2024)
Conrado Boeira, Antor Hasan, Khaleda Papry, Yue Ju, Zhongwen Zhu, Israat Haque
Calibration and Automation of a 5G Simulator for Realistic Evaluation and Data Generation. NetSoft (2024)
Junpeng Zhang, Yue Ju, Bo Wahlberg, Biqiang Mu, Tianshi Chen
An Efficient Implementation for Bayesian Manifold Regularization Method. CDC (2023)
Yue Ju, Biqiang Mu, Lennart Ljung, Tianshi Chen
Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyperparameter Estimator. IEEE Trans. Autom. Control. 68 (12) (2023)
Jin Zhu, Chuanqi Tao, Hongjing Guo, Yue Ju
DeepTD: Diversity-Guided Deep Neural Network Test Generation. SETTA (2023)
Xiangbo Mi, Jingxuan Zhang, Yixuan Tang, Yue Ju, Jinpeng Lan
Boosting Just-In-Time Code Comment Updating Via Programming Context and Refactor. Int. J. Softw. Eng. Knowl. Eng. 33 (10) (2023)
Junpeng Zhang, Yue Ju, Biqiang Mu, Renxin Zhong, Tianshi Chen
An efficient implementation for spatial-temporal Gaussian process regression and its applications. Autom. 147 (2023)
Yue Ju, Yixuan Tang, Jinpeng Lan, Xiangbo Mi, Jingxuan Zhang
A Cross-Language Name Binding Recognition and Discrimination Approach for Identifiers. SANER (2023)
Yue Ju, Bi-Qiang Mu, Lennart Ljung, Tianshi Chen
Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyper-parameter Estimator. CoRR (2022)
Junpeng Zhang, Yue Ju, Bi-Qiang Mu, Renxin Zhong, Tianshi Chen
An Efficient Implementation for Spatial-Temporal Gaussian Process Regression and Its Applications. CoRR (2022)
Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung
. CDC (2021)
Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung
Tutorial on Asymptotic Properties of Regularized Least Squares Estimator for Finite Impulse Response Model. CoRR (2021)
Yue Ju, Alka Isac, Yimin Nie
ChunkFormer: Learning Long Time Series with Multi-stage Chunked Transformer. CoRR (2021)
Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung
On the Influence of Ill-conditioned Regression Matrix on Hyper-parameter Estimators for Kernel-based Regularization Methods. CDC (2020)
Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung
On Effects of Condition Number of Regression Matrix upon Hyper-parameter Estimators for Kernel-based Regularization Methods. CoRR (2020)