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Yue Ju
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2020 – today
- 2024
- [j4]Yue Ju, Shiqi Gong, Heng Liu, Chengwen Xing, Jianping An, Yonghui Li:
Beamforming Optimization for Hybrid Active-Passive RIS Assisted Wireless Communications: A Rate-Maximization Perspective. IEEE Trans. Commun. 72(9): 5428-5442 (2024) - [c7]Shuangyi Chen, Yue Ju, Zhongwen Zhu, Ashish Khisti:
Secure Inference for Vertically Partitioned Data Using Multiparty Homomorphic Encryption. ISIT 2024: 2508-2513 - [c6]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: 341-345 - [i9]Conrado Boeira, Antor Hasan, Khaleda Papry, Yue Ju, Zhongwen Zhu, Israat Haque:
A Calibrated and Automated Simulator for Innovations in 5G. CoRR abs/2404.10643 (2024) - [i8]Shuangyi Chen, Yue Ju, Zhongwen Zhu, Ashish Khisti:
Secure Inference for Vertically Partitioned Data Using Multiparty Homomorphic Encryption. CoRR abs/2405.03775 (2024) - [i7]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 abs/2406.15638 (2024) - [i6]Shuangyi Chen, Yue Ju, Hardik Dalal, Zhongwen Zhu, Ashish Khisti:
Robust Federated Finetuning of Foundation Models via Alternating Minimization of LoRA. CoRR abs/2409.02346 (2024) - 2023
- [j3]Junpeng Zhang, Yue Ju, Biqiang Mu, Renxin Zhong, Tianshi Chen:
An efficient implementation for spatial-temporal Gaussian process regression and its applications. Autom. 147: 110679 (2023) - [j2]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): 1619-1649 (2023) - [j1]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): 7224-7239 (2023) - [c5]Junpeng Zhang, Yue Ju, Bo Wahlberg, Biqiang Mu, Tianshi Chen:
An Efficient Implementation for Bayesian Manifold Regularization Method. CDC 2023: 6223-6228 - [c4]Jin Zhu, Chuanqi Tao, Hongjing Guo, Yue Ju:
DeepTD: Diversity-Guided Deep Neural Network Test Generation. SETTA 2023: 419-433 - [c3]Yue Ju, Yixuan Tang, Jinpeng Lan, Xiangbo Mi, Jingxuan Zhang:
A Cross-Language Name Binding Recognition and Discrimination Approach for Identifiers. SANER 2023: 948-955 - 2022
- [i5]Yue Ju, Bi-Qiang Mu, Lennart Ljung, Tianshi Chen:
Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyper-parameter Estimator. CoRR abs/2209.12231 (2022) - [i4]Junpeng Zhang, Yue Ju, Bi-Qiang Mu, Renxin Zhong, Tianshi Chen:
An Efficient Implementation for Spatial-Temporal Gaussian Process Regression and Its Applications. CoRR abs/2209.12565 (2022) - 2021
- [c2]Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung:
On Asymptotic Distribution of Generalized Cross Validation Hyper-parameter Estimator for Regularized System Identification*. CDC 2021: 1598-1602 - [i3]Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung:
Tutorial on Asymptotic Properties of Regularized Least Squares Estimator for Finite Impulse Response Model. CoRR abs/2112.10319 (2021) - [i2]Yue Ju, Alka Isac, Yimin Nie:
ChunkFormer: Learning Long Time Series with Multi-stage Chunked Transformer. CoRR abs/2112.15087 (2021) - 2020
- [c1]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: 300-305 - [i1]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 abs/2003.13435 (2020)
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last updated on 2024-10-12 23:02 CEST by the dblp team
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