On the Influence of Ill-conditioned Regression Matrix on Hyper-parameter Estimators for Kernel-based Regularization Methods. - Yue Ju; Tianshi Chen 001; Bi-Qiang Mu; Lennart Ljung (CDC, 2020)

On Effects of Condition Number of Regression Matrix upon Hyper-parameter Estimators for Kernel-based Regularization Methods. - Yue Ju; Tianshi Chen 001; Bi-Qiang Mu; Lennart Ljung (CoRR, 2020)

On Asymptotic Distribution of Generalized Cross Validation Hyper-parameter Estimator for Regularized System Identification*. - Yue Ju; Tianshi Chen 001; Bi-Qiang Mu; Lennart Ljung (CDC, 2021)

Tutorial on Asymptotic Properties of Regularized Least Squares Estimator for Finite Impulse Response Model. - Yue Ju; Tianshi Chen 001; Bi-Qiang Mu; Lennart Ljung (CoRR, 2021)

ChunkFormer: Learning Long Time Series with Multi-stage Chunked Transformer. - Yue Ju; Alka Isac; Yimin Nie (CoRR, 2021)

Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyper-parameter Estimator. - Yue Ju; Bi-Qiang Mu; Lennart Ljung; Tianshi Chen 001 (CoRR, 2022)

An Efficient Implementation for Bayesian Manifold Regularization Method. - Junpeng Zhang; Yue Ju; Bo Wahlberg; Biqiang Mu; Tianshi Chen 001 (CDC, 2023)

DeepTD: Diversity-Guided Deep Neural Network Test Generation. - Jin Zhu; Chuanqi Tao; Hongjing Guo; Yue Ju (SETTA, 2023)

A Cross-Language Name Binding Recognition and Discrimination Approach for Identifiers. - Yue Ju; Yixuan Tang; Jinpeng Lan; Xiangbo Mi; Jingxuan Zhang (SANER, 2023)

An efficient implementation for spatial-temporal Gaussian process regression and its applications. - Junpeng Zhang; Yue Ju; Biqiang Mu; Renxin Zhong; Tianshi Chen 001 (Autom., 2023)

Boosting Just-In-Time Code Comment Updating Via Programming Context and Refactor. - Xiangbo Mi; Jingxuan Zhang; Yixuan Tang; Yue Ju; Jinpeng Lan (Int. J. Softw. Eng. Knowl. Eng., 2023)

Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyperparameter Estimator. - Yue Ju; Biqiang Mu; Lennart Ljung; Tianshi Chen 001 (IEEE Trans. Autom. Control., 2023)

Secure Inference for Vertically Partitioned Data Using Multiparty Homomorphic Encryption. - Shuangyi Chen; Yue Ju; Zhongwen Zhu; Ashish Khisti (ISIT, 2024)

Calibration and Automation of a 5G Simulator for Realistic Evaluation and Data Generation. - Conrado Boeira; Antor Hasan; Khaleda Papry; Yue Ju; Zhongwen Zhu; Israat Haque 001 (NetSoft, 2024)

A Calibrated and Automated Simulator for Innovations in 5G. - Conrado Boeira; Antor Hasan; Khaleda Papry; Yue Ju; Zhongwen Zhu; Israat Haque 001 (CoRR, 2024)

Root Cause Analysis of Anomalies in 5G RAN Using Graph Neural Network and Transformer. - Antor Hasan; Conrado Boeira; Khaleda Papry; Yue Ju; Zhongwen Zhu; Israat Haque 001 (CoRR, 2024)

Robust Federated Finetuning of Foundation Models via Alternating Minimization of LoRA. - Shuangyi Chen; Yue Ju; Hardik Dalal; Zhongwen Zhu; Ashish Khisti (CoRR, 2024)

Beamforming Optimization for Hybrid Active-Passive RIS Assisted Wireless Communications: A Rate-Maximization Perspective. - Yue Ju; Shiqi Gong; Heng Liu 007; Chengwen Xing; Jianping An; Yonghui Li 001 (IEEE Trans. Commun., 2024)

Bayes and Biased Estimators Without Hyper-Parameter Estimation: Comparable Performance to the Empirical-Bayes-Based Regularized Estimator. - Yue Ju; Bo Wahlberg; Håkan Hjalmarsson (IEEE Control. Syst. Lett., 2025)

Robust Federated Finetuning of LLMs via Alternating Optimization of LoRA. - Shuangyi Chen; Yuanxin Guo; Yue Ju; Hardik Dalal; Ashish Khisti (CoRR, 2025)

Excess Mean Squared Error of Empirical Bayes Estimators. - Yue Ju; Bo Wahlberg; Håkan Hjalmarsson (CoRR, 2025)

Range Space or Null Space: Least-Squares Methods for the Realization Problem. - Jiabao He; Yueyue Xu; Yue Ju; Cristian R. Rojas; Håkan Hjalmarsson (CoRR, 2025)

Hybrid Active-Passive RIS Empowered Secure Communications: Joint Architecture Design and Beamforming Optimization. - Shiqi Gong; Yue Ju; Heng Liu 007; Liang Liu 003; Chengwen Xing (IEEE Trans. Commun., 2025)