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ORCIDIEEE Transactions on Signal Processing, Volume 73
Volume 73, 2025
- Mohammad Bagher Iraji
, Mohammad Eini, Arash Amini:
WSS Processes and Wiener Filters on Digraphs. 1-11 - Qiyi Yao, Kai Zeng, Weiming Zhang, Kejiang Chen:
Reliable Robust Adaptive Steganographic Coding Based on Nested Polar Codes. 12-25 - Seonho Kim, Kiryung Lee:
Robust Phase Retrieval by Alternating Minimization. 40-54 - Jiaojiao Zhang, Xuechao He, Yue Huang, Qing Ling:
Byzantine-Robust and Communication-Efficient Personalized Federated Learning. 26-39 - Hao Jiao, Junkun Yan, Wenqiang Pu, Yi-jun Chen, Hongwei Liu, Maria Sabrina Greco:
Wideband Sensor Resource Allocation for Extended Target Tracking and Classification. 55-66 - Mingxin Chen, Ming-Min Zhao, An Liu, Min Li, Qingjiang Shi:
Joint Node Selection and Resource Allocation Optimization for Cooperative Sensing With a Shared Wireless Backhaul. 67-82 - Vipul Kumar Singh, Sandeep Kumar, Avadhesh Prasad, Jayadeva:
A Unified Optimization-Based Framework for Certifiably Robust and Fair Graph Neural Networks. 83-98 - Itai Nuri, Nir Shlezinger:
Learning Flock: Enhancing Sets of Particles for Multi Substate Particle Filtering With Neural Augmentation. 99-112 - Ricardo Augusto Borsoi, Konstantin Usevich, David Brie, Tülay Adali:
Personalized Coupled Tensor Decomposition for Multimodal Data Fusion: Uniqueness and Algorithms. 113-129 - Samy Labsir, Sara El Bouch, Alexandre Renaux, Jordi Vilà-Valls, Eric Chaumette:
Cramér-Rao Bound for Lie Group Parameter Estimation With Euclidean Observations and Unknown Covariance Matrix. 130-141 - Yanbin He, Geethu Joseph:
Bayesian Algorithms for Kronecker-Structured Sparse Vector Recovery With Application to IRS-MIMO Channel Estimation. 142-157 - Quanbo Ge, Xuefei Bai, Pingliang Zeng:
Gaussian-Cauchy Mixture Kernel Function Based Maximum Correntropy Criterion Kalman Filter for Linear Non-Gaussian Systems. 158-172 - Xiaowei Qian, Xiaoling Hu, Chenxi Liu, Mugen Peng:
Wideband Beamforming With RIS: A Unified Framework via Space-Frequency Transformation. 173-187 - Dunbiao Niu, Yiguang Hong, Enbin Song:
A Dual Inexact Nonsmooth Newton Method for Distributed Optimization. 188-203 - Sourajit Das, Navid Naderializadeh, Alejandro Ribeiro:
Learning State-Augmented Policies for Information Routing in Communication Networks. 204-218 - Oscar Gerardo Ibarra-Manzano, José A. Andrade-Lucio, Miguel Vazquez-Olguin, Yuriy S. Shmaliy:
Kalman Filter for Discrete Processes With Timing Jitter. 219-229 - Ben Gabrielson, Hanlu Yang, Trung Vu, Vince D. Calhoun, Tülay Adali:
Large-Scale Independent Vector Analysis (IVA-G) via Coresets. 230-244 - Jiaxiong Fang, Hua Chen, Wei Liu, Songjie Yang, Chau Yuen, Hing Cheung So:
Three-Dimensional Localization of Mixed Near-Field and Far-Field Sources Based on a Unified Exact Propagation Model. 245-258 - Haoyuan Cai, Sulaiman A. Alghunaim, Ali H. Sayed:
Diffusion Stochastic Optimization for Min-Max Problems. 259-274 - Shih-Yu Chang, Hsiao-Chun Wu, Guannan Liu:
Robust Multichannel Decorrelation via Tensor Einstein Product. 275-291 - Shenglin Song, Erliang Zhang:
Identification of ARMAX Models With Noisy Input: A Parametric Frequency Domain Solution. 292-304 - Danyan Lin, Gang Wang, K. C. Ho, Lei Huang:
Hybrid DTD-AOA Multi-Object Localization in 3-D by Single Receiver Without Synchronization and Some Transmitter Positions: Solutions and Analysis. 305-323 - Shreyas Chaudhari, Srinivasa Pranav, José M. F. Moura:
Gradient Networks. 324-339 - Tianyi Jia, Xiaochuan Ke, Hongwei Liu, K. C. Ho, Hongtao Su:
Target Localization and Sensor Self-Calibration of Position and Synchronization by Range and Angle Measurements. 340-355 - Anzheng Tang, Jun-Bo Wang, Yijin Pan, Wence Zhang, Yijian Chen, Hongkang Yu, Rodrigo C. de Lamare:
Spatially Non-Stationary XL-MIMO Channel Estimation: A Three-Layer Generalized Approximate Message Passing Method. 356-371 - Jin Li, Wei Xing Zheng, Long Yang:
Fast Converging Algorithm for Blind Equalization With Gaussian and Impulsive Noises. 372-385 - Naixin Kang, Weijian Liu, Jun Liu, Chengpeng Hao, Xiaotao Huang, Zheran Shang:
Polarization Diversity Detection and Localization of a Target With Energy Spillover. 401-417 - Yunchuan Zhang, Sangwoo Park, Osvaldo Simeone:
Multi-Fidelity Bayesian Optimization With Across-Task Transferable Max-Value Entropy Search. 418-432 - Xiang-Yu Wang, Xiao-Peng Li, Nicholas D. Sidiropoulos, Hing Cheung So:
Tensor Completion Network for Visual Data. 386-400 - Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson K. Fletcher:
GAN Training With Kernel Discriminators: What Parameters Control Convergence Rates? 433-445 - Pei-Duo Yu, Chee-Wei Tan:
Unraveling the Viral Spread of Misinformation: Maximum-Likelihood Estimation and Starlike Tree Approximation in Markovian Spreading Models. 446-461 - Jiawei Zhang, Cheng Jin, Yuantao Gu:
Adaptive Polyak Step-Size for Momentum Accelerated Stochastic Gradient Descent With General Convergence Guarantee. 462-476 - Junren Chen, Michael Kwok-Po Ng, Zhaoqiang Liu:
Solving Quadratic Systems With Full-Rank Matrices Using Sparse or Generative Priors. 477-492 - Xiongjie Chen, Yunpeng Li:
Normalizing Flow-Based Differentiable Particle Filters. 493-507 - Shuning Sun, Dongpo Xu, Qiankun Diao, Danilo P. Mandic:
Cramér-Rao Lower Bounds for Unconstrained and Constrained Quaternion Parameters. 508-518 - Steven Kay, Kaushallya Adhikari, Bo Tang:
A Nonparametric Data-Driven Classifier Based on the Cumulant Generating Function. 519-533 - Nilesh Kumar Jha, Huayan Guo, Vincent K. N. Lau:
Robust In-Memory Computation With Bayesian Analog Error Mitigating Codes. 534-548 - Yiming Jiang, Helei Kang, Jinlan Liu, Dongpo Xu:
On the Convergence of Decentralized Stochastic Gradient Descent With Biased Gradients. 549-558 - Bo Tang, Da Li, Wenjun Wu, Astha Saini, Prabhu Babu, Petre Stoica:
Dual-Function Beamforming Design for Multi-Target Localization and Reliable Communications. 559-573 - Martin Larsson, Viktor Larsson, Kalle Åström, Magnus Oskarsson:
Single-Source Localization as an Eigenvalue Problem. 574-583 - Xingyu Zhou, Le Liang, Jing Zhang, Chao-Kai Wen, Shi Jin:
Near-Optimal MIMO Detection Using Gradient-Based MCMC in Discrete Spaces. 584-600 - Chenhao Yang, Xin Wang, Wei Ni, Yi Jiang:
Optimal Beamforming for MIMO DFRC Systems With Transmit Covariance Constraints. 601-616 - Minhua Ding, Italo Atzeni, Antti Tölli, A. Lee Swindlehurst:
On Optimal MMSE Channel Estimation for One-Bit Quantized MIMO Systems. 617-632 - Linfeng Xu, X. Rong Li, Mahendra Mallick, Zhansheng Duan:
Modeling and State Estimation of Destination-Constrained Dynamic Systems Part II: Uncertain Arrival Time. 633-648 - Chang Gao, Qingfu Zhang, Pramod K. Varshney, Xi Lin, Hongwei Liu:
A Distributed Multi-Objective Detection Method for Multi-Sensor Systems With Unknown Local SNR. 649-663 - Ángel F. García-Fernández, Simo Särkkä:
Gaussian Multi-Target Filtering With Target Dynamics Driven by a Stochastic Differential Equation. 664-675 - Xiang Zhang, Yinfei Xu, Mingjie Shao, Yonina C. Eldar:
Wasserstein Distributionally Robust Graph Learning via Algorithm Unrolling. 676-690 - Xi Yao, Wei Dai:
A Low-Rank Projected Proximal Gradient Method for Spectral Compressed Sensing. 691-705 - Gian Marti, Flurin Arquint, Christoph Studer:
Jammer-Resilient Time Synchronization in the MIMO Uplink. 706-720 - Zhan Gao, Deniz Gündüz:
Graph Neural Networks Over the Air for Decentralized Tasks in Wireless Networks. 721-737 - Xinhui Rong, Victor Solo:
Asymptotic Error Rates for Point Process Classification. 738-750 - Tongle Wu, Zhize Li, Ying Sun:
The Effectiveness of Local Updates for Decentralized Learning Under Data Heterogeneity. 751-765 - Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su:
Empowering Federated Learning With Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics. 766-780 - An Liu, Yufan Zhou, Wenkang Xu:
Subspace Constrained Variational Bayesian Inference for Structured Compressive Sensing With a Dynamic Grid. 781-794 - Foad Sohrabi, Carl J. Nuzman, Jinfeng Du, Hong Yang, Harish Viswanathan:
Energy-Efficient Flat Precoding for MIMO Systems. 795-810 - Homa Esfahanizadeh, Alejandro Cohen, Shlomo Shamai, Muriel Médard:
Successive Refinement in Large-Scale Computation: Expediting Model Inference Applications. 811-826 - Shuche Wang, Vincent Y. F. Tan:
A Mirror Descent-Based Algorithm for Corruption-Tolerant Distributed Gradient Descent. 827-842 - Haoxiang Ye, Qing Ling:
Generalization Error Matters in Decentralized Learning Under Byzantine Attacks. 843-857 - Benedikt Böck, Dominik Semmler, Benedikt Fesl, Michael Baur, Wolfgang Utschick:
Gohberg-Semencul Toeplitz Covariance Estimation via Autoregressive Parameters. 858-875 - Javier Salazar Cavazos, Jeffrey A. Fessler, Laura Balzano:
ALPCAH: Subspace Learning for Sample-Wise Heteroscedastic Data. 876-886 - Lin Chen, Xue Jiang, Pei Xiao, Xingzhao Liu, Martin Haardt:
Structured Tensor Decomposition for FDD Massive MIMO Downlink Channel Reconstruction. 887-902 - Aleksandar Armacki, Dragana Bajovic, Dusan Jakovetic, Soummya Kar:
Distributed Center-Based Clustering: A Unified Framework. 903-918 - Hongxia Miao, Mugen Peng:
Near-Field High-Speed User Sensing in Wideband mmWave Communications: Algorithms and Bounds. 919-935 - Wei Shi, Jiacheng Yao, Wei Xu, Jindan Xu, Xiaohu You, Yonina C. Eldar, Chunming Zhao:
Combating Interference for Over-the-Air Federated Learning: A Statistical Approach via RIS. 936-953 - Yuhan Li, Tianyao Huang, Lei Wang, Yimin Liu, Xiqin Wang:
Approximating Multi-Dimensional and Multiband Signals. 954-969 - Xiaochuan Ke, K. C. Ho:
An Investigation of Using Rigid Body Receivers for Locating a Non-Cooperative Object by Pseudo-Ranges in the Absence of Synchronization. 970-987 - Shanli Chen, Yunfei Zheng, Dongyuan Lin, Peng Cai, Yingying Xiao, Shiyuan Wang:
MAML-KalmanNet: A Neural Network-Assisted Kalman Filter Based on Model-Agnostic Meta-Learning. 988-1003 - Víctor Manuel Bautista, Mario Garrido:
A Method to Obtain Non-Power-of-Two FFT Flow Graphs Based on a New Prime Factor Algorithm. 1004-1017 - Qinchen Wu, Jinping Sun, Bin Yang, Tao Shan, Yanping Wang:
Tracking Multiple Resolvable Group Targets With Coordinated Motion via Labeled Random Finite Sets. 1018-1033 - Yongxiang Li, Wuyang Zhang, Matthias Hwai Yong Tan, Peter Chien:
Sequential Decomposition of Multiple Seasonal Components Using Spectrum-Regularized Periodic Gaussian Process. 1034-1047 - Juan Hu, Lei Zuo, Pramod K. Varshney, Zhengyu Lan, Yongchan Gao:
Collaborative Trajectory Optimization for Multitarget Tracking in Airborne Radar Network With Missing Data. 1048-1064 - Pedro Valdeira, João Xavier, Cláudia Soares, Yuejie Chi:
Communication-Efficient Vertical Federated Learning via Compressed Error Feedback. 1065-1080 - Gangle Sun, Mengyao Cao, Wenjin Wang, Wei Xu, Christoph Studer:
Deep-Unfolded Massive Grant-Free Transmission in Cell-Free Wireless Communication Systems. 1094-1109 - Gökhan Gül:
Theoretical Bounds in Decentralized Hypothesis Testing. 1110-1121 - Zhen Yang, Wangli He, Shaofu Yang:
Differentially Private Distributed Optimization Over Time-Varying Unbalanced Networks With Linear Convergence Rates. 1138-1152 - Andrei Buciulea, Jiaxi Ying, Antonio G. Marques, Daniel P. Palomar:
Polynomial Graphical Lasso: Learning Edges From Gaussian Graph-Stationary Signals. 1153-1167 - Mojtaba Nazari, Anders Rosendal Korshøj, Naveed ur Rehman:
Jump Plus AM-FM Mode Decomposition. 1081-1093 - Yi Wang, Xianxiang Yu, Jing Yang, Guolong Cui:
Cognitive Radar Subpulses Waveform Design via Online Greedy Search. 1122-1137 - Moustapha Diaw, Florent Retraint, Frédéric Morain-Nicolier, Agnès Delahaies, Jérôme Landré:
New Statistic Detector for Structural Image Similarity. 1168-1183 - Xiaonan Chen, Jun Wang, Qingyang Huang:
Dynamic Spectrum Cartography: Reconstructing Spatial-Spectral-Temporal Radio Frequency Map via Tensor Completion. 1184-1199 - Zhou Xu, Bo Tang, Weihua Ai, Jiahua Zhu:
Relative Entropy Based Jamming Signal Design Against Radar Target Detection. 1200-1215 - Yuyan Wei, Xiangdong Huang, Jinshui Song, Yanping Li:
Subband-Split Co-Prime Spectral Analyzer With Convolution Window Prototype Filters. 1216-1230 - Zongtai Li, Rui Wang, Erwu Liu:
Reinforcement Learning Based Online Algorithm for Near-Field Time-Varying IRS Phase Shift Optimization: System Evolution Perspective. 1231-1245 - Tal Vol, Loai Danial, Nir Shlezinger:
Learning Task-Based Trainable Neuromorphic ADCs via Power-Aware Distillation. 1246-1261 - Charles Hovine, Alexander Bertrand:
Distributed Adaptive Spatial Filtering With Inexact Local Solvers. 1262-1277 - Clara Lage, Nelly Pustelnik, Jean-Michel Arbona, Benjamin Audit, Rémi Gribonval:
Identifying a Piecewise Affine Signal From Its Nonlinear Observation - Application to DNA Replication Analysis. 1278-1292 - Kuan-Lin Chen, Bhaskar D. Rao:
Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources Than Sensors: A Deep Learning Methodology. 1293-1308 - Yi Ding, Junpeng Shi, Zai Yang, Zhiyuan Zhang, Yongxiang Liu, Xiang Li:
D2CN: Distributed Deep Convolutional Network. 1309-1322 - Liping Wang, Hao Wu, Hongchao Zhang:
A Decentralized Primal-Dual Method With Quasi-Newton Tracking. 1323-1336 - Wei Liu:
Event-Triggered State Estimation Through Confidence Level. 1337-1350 - Sihua Wang, Huayan Guo, Xu Zhu, Changchuan Yin, Vincent K. N. Lau:
Communication-Efficient Distributed Bayesian Federated Learning Over Arbitrary Graphs. 1351-1366 - Dongyuan Lin, Xiaofeng Chen, Yunfei Zheng, Zhongyuan Guo, Qiangqiang Zhang, Shiyuan Wang:
Quaternion Information Filters With Inaccurate Measurement Noise Covariance: A Variational Bayesian Method. 1367-1378 - Yifu Lin, Wenling Li, Jia Song, Xiaoming Li:
Online Federated Reproduced Gradient Descent With Time-Varying Global Optima. 1379-1393 - Kaushani Majumder, Sibi Raj B. Pillai, Satish Mulleti:
Greedy Selection for Heterogeneous Sensors. 1394-1409 - James Zachary Hare, Yuchen Liang, Lance M. Kaplan, Venugopal V. Veeravalli:
Bayesian Two-Sample Hypothesis Testing Using the Uncertain Likelihood Ratio: Improving the Generalized Likelihood Ratio Test. 1410-1425 - Jaehyup Seong, Juha Park, Juhwan Lee, Jungwoo Lee, Jung-Bin Kim, Wonjae Shin, H. Vincent Poor:
Rate-Matching Framework for RSMA-Enabled Multibeam LEO Satellite Communications. 1426-1443 - Frida Viset, Rudy Helmons, Manon Kok:
Spatially Scalable Recursive Estimation of Gaussian Process Terrain Maps Using Local Basis Functions. 1444-1453 - Zhouyuan Yu, Xiaoling Hu, Chenxi Liu, Qin Tao, Mugen Peng:
Detection and Multiparameter Estimation for NLoS Targets: An RIS-Assisted Framework. 1470-1484 - Meiyi Zhu, Matteo Zecchin, Sangwoo Park, Caili Guo, Chunyan Feng, Petar Popovski, Osvaldo Simeone:
Conformal Distributed Remote Inference in Sensor Networks Under Reliability and Communication Constraints. 1485-1500 - Jiaojiao Zhang, Linglingzhi Zhu, Dominik Fay, Mikael Johansson:
Locally Differentially Private Online Federated Learning With Correlated Noise. 1518-1531 - Duoduo Xue, Wenrui Dai, Ziyang Zheng, Chenglin Li, Junni Zou, Hongkai Xiong:
Generalized Quantum State Tomography With Hybrid Denoising Priors. 1532-1548 - Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro:
Generalization of Geometric Graph Neural Networks With Lipschitz Loss Functions. 1549-1561 - Benjamin Cox, Émilie Chouzenoux, Víctor Elvira:
GraphGrad: Efficient Estimation of Sparse Polynomial Representations for General State-Space Models. 1562-1576 - Gökhan Gül:
Corrections to "Theoretical Bounds in Decentralized Hypothesis Testing". 1611 - Tiancheng Li, Haozhe Liang, Guchong Li, Jesús García Herrero, Quan Pan:
Arithmetic Average Density Fusion - Part IV: Distributed Heterogeneous Fusion of RFS and LRFS Filters via Variational Approximation. 1454-1469 - Mengjiao Tang, Augusto Aubry, Antonio De Maio, Yao Rong:
Invariance Theory for Radar Detection in Disturbance With Kronecker Product Covariance Structure - Part I: Gaussian Environment. 1577-1593 - Mengjiao Tang, Augusto Aubry, Antonio De Maio, Yao Rong:
Invariance Theory for Radar Detectionin Disturbance With Kronecker ProductCovariance Structure - Part II: CompoundGaussian Environment. 1594-1610 - Yue Hu, Songkang Huang, Lei Zhao, Ming Jiang:
Narrowband Interference Cancellation for OFDM Based on Deep Learning and Compressed Sensing. 1612-1625 - Jiayin Zhang, Nan Wu, Tingting Zhang, Bin Li, Qinsiwei Yan, Xiaoli Ma:
Distributed Graph Learning From Smooth Data: A Bayesian Framework. 1626-1642 - Yuxiao Zhang, Shuai Wang, Xuanhe Yang, Jiahao Zhang, Gaofeng Pan, Jianping An, Dusit Niyato:
A Low-Complexity Chinese Remainder Theorem Based Multi-Carrier Delay Estimation Approach. 1643-1657 - Sangwoo Park, Ahmet Hasim Gokceoglu, Li Wang, Osvaldo Simeone:
Scalable Multivariate Fronthaul Quantization for Cell-Free Massive MIMO. 1658-1673 - Tanin Sultana, Sorina Dumitrescu:
Globally Optimal Max-Min Rate Joint Channel and Power Allocation for Hybrid NOMA-OMA Downlink Systems. 1674-1690 - Nhan Thanh Nguyen, Van-Dinh Nguyen, Hieu Van Nguyen, Hien Quoc Ngo, A. Lee Swindlehurst, Markku J. Juntti:
Performance Analysis and Power Allocation for Massive MIMO ISAC Systems. 1691-1707 - Siyuan Yu, Wei Chen, H. Vincent Poor:
Distributed Stochastic Gradient Descent With Staleness: A Stochastic Delay Differential Equation Based Framework. 1708-1726 - Sheng Xu, Bing Zhu, Xinyu Wu, Kutluyil Dogançay:
Optimal TOA-Based Sensor-Anchor-Source Geometries and Estimation Bounds for Simultaneous Sensor and Source Localization. 1727-1743 - Peilan Wang, Jun Fang, Bin Wang, Hongbin Li:
Intelligent Reflecting Surface-Assisted Adaptive Beamforming for Blind Interference Suppression. 1744-1758 - Mingguang Han, Yi Zeng, Xiaoguang Li, Tiejun Li:
DMRA: An Adaptive Line Spectrum Estimation Method Through Dynamical Multiresolution of Atoms. 1759-1774 - Xiaotong Zhao, Qingjiang Shi:
A Universal Low-Dimensional Subspace Structure in Beamforming Design: Theory and Applications. 1775-1791 - Chen Peng, Di Zhang, Urbashi Mitra:
Asymmetric Graph Error Control With Low Complexity in Causal Bandits. 1792-1807 - Tsung-Hsuan Wang, Po-Ning Chen, Yu-Chih Huang:
Probabilistic Byzantine Attack on Federated Learning. 1823-1838 - Wenzhe Jin, Wentao Lyu, Qing Guo, Zhijiang Deng:
Fast Robust Sparse Bayesian Learning Image Reconstruction Model Based on Generalized Approximate Message Passing. 1839-1850 - Jun Chen, Lina Liu, Tianyi Zhu, Yong Liu, Guang Dai, Yunliang Jiang, Ivor W. Tsang:
Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking. 1851-1861 - Dorian Florescu:
A Generalized Approach for Recovering Time Encoded Signals With Finite Rate of Innovation. 1862-1876 - Xiqing Liu, Jingwen Li, Jialong Gong, Meiyu Yin, Yuanwei Liu, Mugen Peng:
Decoupled Mean Filtering for Calibrated MUSIC Spectrum With Phase-Rotation Precoding Under Cooperative ISAC Systems - From Interference Suppression Perspective. 1877-1892 - Elissa Mhanna, Mohamad Assaad:
Communication and Energy Efficient Federated Learning Using Zero-Order Optimization Technique. 1893-1904 - Roula Nassif, Stefan Vlaski, Marco Carpentiero, Vincenzo Matta, Ali H. Sayed:
Differential Error Feedback for Communication-Efficient Decentralized Learning. 1905-1921 - Himali Singh, Arpan Chattopadhyay, Kumar Vijay Mishra:
Inverse Particle Filter. 1922-1938 - Yue Huang, Zhaoxian Wu, Shiqian Ma, Qing Ling:
Single-Timescale Multi-Sequence Stochastic Approximation Without Fixed Point Smoothness: Theories and Applications. 1939-1953 - Jiaxing Li, Raquel Caballero-Águila, Jun Hu, Josefa Linares-Pérez:
Recursive Estimation With Compensation Strategies Under Random Access Protocol and Deception Attacks. 1954-1965 - Lu Wei, Tianxi Ji:
Asymptotic Matrix-Variate Bingham Distributions and Privacy-Preserving Principal Component Analysis. 1966-1978
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