CLT for eigen-inference methods in cognitive radios. - Jianfeng Yao; Romain Couillet; Jamal Najim; Eric Moulines; Mérouane Debbah (ICASSP, 2011)

On a model selection problem from high-dimensional sample covariance matrices. - Jiaqi Chen; Bernard Delyon; Jianfeng Yao (J. Multivar. Anal., 2011)

Estimation of the Covariance Matrix of Large Dimensional Data - Jianfeng Yao; Abla Kammoun; Jamal Najim (CoRR, 2012)

On sample eigenvalues in a generalized spiked population model. - Zhidong Bai; Jianfeng Yao (J. Multivar. Anal., 2012)

Eigenvalue Estimation of Parameterized Covariance Matrices of Large Dimensional Data. - Jianfeng Yao; Abla Kammoun; Jamal Najim (IEEE Trans. Signal Process., 2012)

Fluctuations of an Improved Population Eigenvalue Estimator in Sample Covariance Matrix Models. - Jianfeng Yao; Romain Couillet; Jamal Najim; Mérouane Debbah (IEEE Trans. Inf. Theory, 2013)

Estimation and fluctuations of functionals of large random matrices. (Estiamation et fluctuations de fonctionnelles de grandes matrices aléatoires). - Jianfeng Yao (2013)

Fluctuations for linear spectral statistics of large random covariance matrices. - Jamal Najim; Jianfeng Yao (EUSIPCO, 2014)

On estimation of the noise variance in a high-dimensional signal detection model. - Jianfeng Yao; Damien Passemier (SSP, 2014)

Estimation of the number of spikes, possibly equal, in the high-dimensional case. - Damien Passemier; Jianfeng Yao (J. Multivar. Anal., 2014)

On singular value distribution of large-dimensional autocovariance matrices. - Zeng Li; Guangming Pan; Jianfeng Yao (J. Multivar. Anal., 2015)

A new multivariate CUSUM chart using principal components with a revision of Crosier's chart. - Jiaqi Chen; Hualong Yang; Jianfeng Yao (Commun. Stat. Simul. Comput., 2018)

On a spiked model for large volatility matrix estimation from noisy high-frequency data. - Keren Shen; Jianfeng Yao; Wai Keung Li (Comput. Stat. Data Anal., 2019)

Design of an Antagonistic Variable Stiffness Finger for Interactions and Its Analysis. - Handong Hu; Yiwei Liu 001; Zongwu Xie; Hong Liu 002; Jianfeng Yao (ICIRA (1), 2021)

Implicit Data-Driven Regularization in Deep Neural Networks under SGD. - Xuran Meng; Jianfeng Yao (CoRR, 2021)

Research on the Evaluation Method of Ideological and Political Effect of Online Courses in Internet of Things. - Jiajing Cai; Junying Feng; Jinmei Shi; Yajuan Zhang; Shangyu Meng; Jianfeng Yao (eLEOT (2), 2022)

Performance Evaluation Model of Substation Battery Pack Based on New Series Parallel Topology. - Jianfeng Yao; Ping Zhou; Li Huang; Gaoming Liu (eLEOT (2), 2022)

Design of Wireless Force Sensing Module of Vascular Interventional Robot. - Zhuang Fu; Jianfeng Yao; Zeyu Fu; Chenxin Sui; Jian Fei (ICIRA (3), 2022)

Recent advances on eigenvalues of matrix-valued stochastic processes. - Jian Song 008; Jianfeng Yao; Wangjun Yuan (J. Multivar. Anal., 2022)

CMATH: Cross-Modality Augmented Transformer with Hierarchical Variational Distillation for Multimodal Emotion Recognition in Conversation. - Xiaofei Zhu; Jiawei Cheng; Zhou Yang 012; Zhuo Chen; Qingyang Wang; Jianfeng Yao (CoRR, 2024)

DAG-based swarm learning: A secure asynchronous learning framework for Internet of Vehicles. - Xiaoge Huang; Hongbo Yin; Qianbin Chen; Yu Zeng; Jianfeng Yao (Digit. Commun. Networks, 2024)

Multiple Descent in the Multiple Random Feature Model. - Xuran Meng; Jianfeng Yao; Yuan Cao (J. Mach. Learn. Res., 2024)

Towards Quantifying the Hessian Structure of Neural Networks. - Zhaorui Dong; Yushun Zhang; Zhi-Quan Luo; Jianfeng Yao; Ruoyu Sun 001 (CoRR, 2025)

Neural-Guided RRT*: Learning-Based Planning of Entry Point and Puncture Path for Steerable Bevel-Tip Needle Insertion. - Jianfeng Yao; Zhuang Fu; Zi Fang; Ziwen Guo; Fei Jing (IEEE Robotics Autom. Lett., 2025)