Yue Ju

27 papers A 1B 2Misc 1Journal 19Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Bayes and Biased Estimators Without Hyper-Parameter Estimation: Comparable Performance to the Empirical-Bayes-Based Regularized Estimator.
IEEE Control. Syst. Lett.
Yue Ju, Bo Wahlberg, Håkan Hjalmarsson
2025 J jnl
Bayes and Biased Estimators Without Hyper-parameter Estimation: Comparable Performance to the Empirical-Bayes-Based Regularized Estimator.
CoRR
Yue Ju, Bo Wahlberg, Håkan Hjalmarsson
2025 J jnl
Excess Mean Squared Error of Empirical Bayes Estimators.
CoRR
Yue Ju, Bo Wahlberg, Håkan Hjalmarsson
2025 J jnl
Hybrid Active-Passive RIS Empowered Secure Communications: Joint Architecture Design and Beamforming Optimization.
IEEE Trans. Commun.
Shiqi Gong, Yue Ju, Heng Liu, Liang Liu, Chengwen Xing
2025 J jnl
Range Space or Null Space: Least-Squares Methods for the Realization Problem.
CoRR
Jiabao He, Yueyue Xu, Yue Ju, Cristian R. Rojas, Håkan Hjalmarsson
2025 — conf
Revisiting Dynamic Programming for Exploration: Insights from a Simple Dual Control Problem.
CDC
Ying Wang, Kévin Colin, Yue Ju, Mirko Pasquini, Håkan Hjalmarsson
2025 J jnl
Robust Federated Finetuning of LLMs via Alternating Optimization of LoRA.
CoRR
Shuangyi Chen, Yuanxin Guo, Yue Ju, Hardik Dalal, Ashish Khisti
2024 J jnl
A Calibrated and Automated Simulator for Innovations in 5G.
CoRR
Conrado Boeira, Antor Hasan, Khaleda Papry, Yue Ju, Zhongwen Zhu, Israat Haque
2024 J jnl
Beamforming Optimization for Hybrid Active-Passive RIS Assisted Wireless Communications: A Rate-Maximization Perspective.
IEEE Trans. Commun.
Yue Ju, Shiqi Gong, Heng Liu, Chengwen Xing, Jianping An, Yonghui Li
2024 B conf
Calibration and Automation of a 5G Simulator for Realistic Evaluation and Data Generation.
NetSoft
Conrado Boeira, Antor Hasan, Khaleda Papry, Yue Ju, Zhongwen Zhu, Israat Haque
2024 J jnl
Robust Federated Finetuning of Foundation Models via Alternating Minimization of LoRA.
CoRR
Shuangyi Chen, Yue Ju, Hardik Dalal, Zhongwen Zhu, Ashish Khisti
2024 J jnl
Root Cause Analysis of Anomalies in 5G RAN Using Graph Neural Network and Transformer.
CoRR
Antor Hasan, Conrado Boeira, Khaleda Papry, Yue Ju, Zhongwen Zhu, Israat Haque
2024 B conf
Secure Inference for Vertically Partitioned Data Using Multiparty Homomorphic Encryption.
ISIT
Shuangyi Chen, Yue Ju, Zhongwen Zhu, Ashish Khisti
2024 J jnl
Secure Inference for Vertically Partitioned Data Using Multiparty Homomorphic Encryption.
CoRR
Shuangyi Chen, Yue Ju, Zhongwen Zhu, Ashish Khisti
2023 A conf
A Cross-Language Name Binding Recognition and Discrimination Approach for Identifiers.
SANER
Yue Ju, Yixuan Tang, Jinpeng Lan, Xiangbo Mi, Jingxuan Zhang
2023 — conf
An Efficient Implementation for Bayesian Manifold Regularization Method.
CDC
Junpeng Zhang, Yue Ju, Bo Wahlberg, Biqiang Mu, Tianshi Chen
2023 J jnl
An efficient implementation for spatial-temporal Gaussian process regression and its applications.
Autom.
Junpeng Zhang, Yue Ju, Biqiang Mu, Renxin Zhong, Tianshi Chen
2023 J jnl
Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyperparameter Estimator.
IEEE Trans. Autom. Control.
Yue Ju, Biqiang Mu, Lennart Ljung, Tianshi Chen
2023 J jnl
Boosting Just-In-Time Code Comment Updating Via Programming Context and Refactor.
Int. J. Softw. Eng. Knowl. Eng.
Xiangbo Mi, Jingxuan Zhang, Yixuan Tang, Yue Ju, Jinpeng Lan
2023 Misc conf
DeepTD: Diversity-Guided Deep Neural Network Test Generation.
SETTA
Jin Zhu, Chuanqi Tao, Hongjing Guo, Yue Ju
2022 J jnl
An Efficient Implementation for Spatial-Temporal Gaussian Process Regression and Its Applications.
CoRR
Junpeng Zhang, Yue Ju, Bi-Qiang Mu, Renxin Zhong, Tianshi Chen
2022 J jnl
Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyper-parameter Estimator.
CoRR
Yue Ju, Bi-Qiang Mu, Lennart Ljung, Tianshi Chen
2021 J jnl
ChunkFormer: Learning Long Time Series with Multi-stage Chunked Transformer.
CoRR
Yue Ju, Alka Isac, Yimin Nie
2021 — conf
On Asymptotic Distribution of Generalized Cross Validation Hyper-parameter Estimator for Regularized System Identification
CDC
Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung
2021 J jnl
Tutorial on Asymptotic Properties of Regularized Least Squares Estimator for Finite Impulse Response Model.
CoRR
Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung
2020 J jnl
On Effects of Condition Number of Regression Matrix upon Hyper-parameter Estimators for Kernel-based Regularization Methods.
CoRR
Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung
2020 — conf
On the Influence of Ill-conditioned Regression Matrix on Hyper-parameter Estimators for Kernel-based Regularization Methods.
CDC
Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung