Waheed U. Bajwa

166 papers A 1B 6Misc 19Journal 95Unranked 45

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DIGing-SGLD: Decentralized and Scalable Langevin Sampling over Time-Varying Networks. CoRR Waheed U. Bajwa, Mert Gürbüzbalaban, Mustafa Ali Kutbay, Lingjiong Zhu, Muhammad Zulqarnain
2025	—	`conf`	Low Separation Rank Ridge Regression for Matrix Covariates with Applications in Neuroimaging. IEEECONF Lakshitha Ramanayake, Batoul Taki, Linden Parkes, Carrisa Cocuzza, Avram Holmes, David H. Zald, Waheed U. Bajwa
2025	J	`jnl`	RESIST: Resilient Decentralized Learning Using Consensus Gradient Descent. CoRR Cheng Fang, Rishabh Dixit, Waheed U. Bajwa, Mert Gürbüzbalaban
2025	J	`jnl`	Role of denoisers in simulation-based inference from graph-structured data: a case study for position inference in an astroparticle detector. EURASIP J. Adv. Signal Process. Venkat Roy, Aaron Higuera, Shixiao Liang, Christina Peters, Waheed U. Bajwa, Christopher D. Tunnell
2025	—	`conf`	Symbol-Level Precoding for Multipath-Tolerant Physical-Layer Secured Communication with Space-Time Modulated Metamaterial Antennas. MILCOM Hariharan Venkat, Shaghayegh Vosoughitabar, Shuping Li, Chung-Tse Michael Wu, Narayan B. Mandayam, Waheed U. Bajwa
2024	Misc	`conf`	Federated Learning of Tensor Generalized Linear Models with low Separation Rank. ICASSP Jose Hoyos Sanchez, Batoul Taki, Waheed U. Bajwa, Anand D. Sarwate
2024	Misc	`conf`	Low Separation Rank in Tensor Generalized Linear Models: An Asymptotic Analysis. CISS Batoul Taki, Anand D. Sarwate, Waheed U. Bajwa
2024	Misc	`conf`	Mitigating Data Injection Attacks on Federated Learning. ICASSP Or Ohev Shalom, Amir Leshem, Waheed U. Bajwa
2023	J	`jnl`	A Guide to Computational Reproducibility in Signal Processing and Machine Learning [Tips & Tricks]. IEEE Signal Process. Mag. Joseph Shenouda, Waheed U. Bajwa
2023	J	`jnl`	Accelerated gradient methods for nonconvex optimization: Escape trajectories from strict saddle points and convergence to local minima. CoRR Rishabh Dixit, Mert Gürbüzbalaban, Waheed U. Bajwa
2023	J	`jnl`	Boundary Conditions for Linear Exit Time Gradient Trajectories Around Saddle Points: Analysis and Algorithm. IEEE Trans. Inf. Theory Rishabh Dixit, Mert Gürbüzbalaban, Waheed U. Bajwa
2023	Misc	`conf`	C-DIEGO: An Algorithm with Near-Optimal Sample Complexity for Distributed, Streaming PCA. CISS Muhammad Zulqarnain, Arpita Gang, Waheed U. Bajwa
2023	J	`jnl`	Mitigating Data Injection Attacks on Federated Learning. CoRR Or Ohev Shalom, Amir Leshem, Waheed U. Bajwa
2023	J	`jnl`	Programming Wireless Security Through Learning-Aided Spatiotemporal Digital Coding Metamaterial Antenna. Adv. Intell. Syst. Alireza Nooraiepour, Shaghayegh Vosoughitabar, Chung-Tse Michael Wu, Waheed U. Bajwa, Narayan B. Mandayam
2023	J	`jnl`	Real-Time In-Network Image Compression via Distributed Dictionary Learning. IEEE Trans. Mob. Comput. Parul Pandey, Mehdi Rahmati, Waheed U. Bajwa, Dario Pompili
2023	J	`jnl`	Structured Low-Rank Tensors for Generalized Linear Models. CoRR Batoul Taki, Anand D. Sarwate, Waheed U. Bajwa
2023	J	`jnl`	Structured Low-Rank Tensors for Generalized Linear Models. Trans. Mach. Learn. Res. Batoul Taki, Anand D. Sarwate, Waheed U. Bajwa
2022	—	`conf`	A Machine Learning-Driven Analysis of Phantom E911 Calls. WiseML@WiSec Yang Hu, Batoul Taki, Waheed U. Bajwa, Manoop Talasila, Mukesh Mantan, Syed Anwar Aftab
2022	J	`jnl`	A linearly convergent algorithm for distributed principal component analysis. Signal Process. Arpita Gang, Waheed U. Bajwa
2022	J	`jnl`	BRIDGE: Byzantine-Resilient Decentralized Gradient Descent. IEEE Trans. Signal Inf. Process. over Networks Cheng Fang, Zhixiong Yang, Waheed U. Bajwa
2022	J	`jnl`	Distributed Stochastic Algorithms for High-rate Streaming Principal Component Analysis. Trans. Mach. Learn. Res. Haroon Raja, Waheed U. Bajwa
2022	J	`jnl`	Domain-Informed Neural Networks for Interaction Localization Within Astroparticle Experiments. Frontiers Artif. Intell. Shixiao Liang, Aaron Higuera, Christina Peters, Venkat Roy, Waheed U. Bajwa, Hagit Shatkay, Christopher D. Tunnell
2022	J	`jnl`	FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component Analysis. IEEE Trans. Signal Process. Arpita Gang, Waheed U. Bajwa
2022	J	`jnl`	Space-Time Digitally-Coded Metamaterial Antenna Enabled Directional Modulation for Physical Layer Security. CoRR Alireza Nooraiepour, Shaghayegh Vosoughitabar, Chung-Tse Michael Wu, Waheed U. Bajwa, Narayan B. Mandayam
2022	—	`conf`	The Best of Both Worlds: Distributed PCA That is Both Exact and Communication Efficient. EUSIPCO Arpita Gang, Waheed U. Bajwa
2022	J	`jnl`	Time-varying Metamaterial-enabled Directional Modulation Schemes for Physical Layer Security in Wireless Communication Links. ACM J. Emerg. Technol. Comput. Syst. Alireza Nooraiepour, Shaghayegh Vosoughitabar, Chung-Tse Michael Wu, Waheed U. Bajwa, Narayan B. Mandayam
2021	J	`jnl`	A Guide to Reproducible Research in Signal Processing and Machine Learning. CoRR Joseph Shenouda, Waheed U. Bajwa
2021	J	`jnl`	A Linearly Convergent Algorithm for Distributed Principal Component Analysis. CoRR Arpita Gang, Waheed U. Bajwa
2021	—	`conf`	A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression. ACSCC Batoul Taki, Mohsen Ghassemi, Anand D. Sarwate, Waheed U. Bajwa
2021	J	`jnl`	A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression. CoRR Batoul Taki, Mohsen Ghassemi, Anand D. Sarwate, Waheed U. Bajwa
2021	J	`jnl`	A hybrid model-based and learning-based approach for classification using limited number of training samples. CoRR Alireza Nooraiepour, Waheed U. Bajwa, Narayan B. Mandayam
2021	J	`jnl`	Boundary Conditions for Linear Exit Time Gradient Trajectories Around Saddle Points: Analysis and Algorithm. CoRR Rishabh Dixit, Waheed U. Bajwa
2021	J	`jnl`	Distributed Principal Subspace Analysis for Partitioned Big Data: Algorithms, Analysis, and Implementation. CoRR Bingqing Xiang, Arpita Gang, Waheed U. Bajwa
2021	J	`jnl`	Distributed Principal Subspace Analysis for Partitioned Big Data: Algorithms, Analysis, and Implementation. IEEE Trans. Signal Inf. Process. over Networks Arpita Gang, Bingqing Xiang, Waheed U. Bajwa
2021	J	`jnl`	Domain-informed neural networks for interaction localization within astroparticle experiments. CoRR Shixiao Liang, Aaron Higuera, Christina Peters, Venkat Roy, Waheed U. Bajwa, Hagit Shatkay, Christopher D. Tunnell
2021	J	`jnl`	FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component Analysis. CoRR Arpita Gang, Waheed U. Bajwa
2021	—	`conf`	Hyphylearn: A Domain Adaptation-Inspired Approach to Classification Using Limited Number of Training Samples. MLSP Alireza Nooraiepour, Waheed U. Bajwa, Narayan B. Mandayam
2021	J	`jnl`	Learning-Aided Physical Layer Attacks Against Multicarrier Communications in IoT. IEEE Trans. Cogn. Commun. Netw. Alireza Nooraiepour, Waheed U. Bajwa, Narayan B. Mandayam
2020	J	`jnl`	Adversary-Resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model. IEEE Signal Process. Mag. Zhixiong Yang, Arpita Gang, Waheed U. Bajwa
2020	J	`jnl`	Distributed Stochastic Algorithms for High-rate Streaming Principal Component Analysis. CoRR Haroon Raja, Waheed U. Bajwa
2020	J	`jnl`	Exit Time Analysis for Approximations of Gradient Descent Trajectories Around Saddle Points. CoRR Rishabh Dixit, Waheed U. Bajwa
2020	J	`jnl`	Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms. IEEE Trans. Signal Process. Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
2020	J	`jnl`	Learning Product Graphs Underlying Smooth Graph Signals. CoRR Muhammad Asad Lodhi, Waheed U. Bajwa
2020	J	`jnl`	Machine Learning From Distributed, Streaming Data [From the Guest Editors]. IEEE Signal Process. Mag. Waheed U. Bajwa, Volkan Cevher, Dimitris S. Papailiopoulos, Anna Scaglione
2020	J	`jnl`	Optimization for Data-Driven Learning and Control. Proc. IEEE Usman A. Khan, Waheed U. Bajwa, Angelia Nedic, Michael G. Rabbat, Ali H. Sayed
2020	J	`jnl`	Scaling-Up Distributed Processing of Data Streams for Machine Learning. Proc. IEEE Matthew S. Nokleby, Haroon Raja, Waheed U. Bajwa
2020	J	`jnl`	Scaling-up Distributed Processing of Data Streams for Machine Learning. CoRR Matthew S. Nokleby, Haroon Raja, Waheed U. Bajwa
2020	J	`jnl`	Tensor Regression Using Low-Rank and Sparse Tucker Decompositions. SIAM J. Math. Data Sci. Talal Ahmed, Haroon Raja, Waheed U. Bajwa
2019	J	`jnl`	Adversary-resilient Inference and Machine Learning: From Distributed to Decentralized. CoRR Zhixiong Yang, Arpita Gang, Waheed U. Bajwa
2019	J	`jnl`	BRIDGE: Byzantine-resilient Decentralized Gradient Descent. CoRR Zhixiong Yang, Waheed U. Bajwa
2019	J	`jnl`	ByRDiE: Byzantine-Resilient Distributed Coordinate Descent for Decentralized Learning. IEEE Trans. Signal Inf. Process. over Networks Zhixiong Yang, Waheed U. Bajwa
2019	J	`jnl`	ExSIS: Extended sure independence screening for ultrahigh-dimensional linear models. Signal Process. Talal Ahmed, Waheed U. Bajwa
2019	Misc	`conf`	Fast and Communication-efficient Distributed Pca. ICASSP Arpita Gang, Haroon Raja, Waheed U. Bajwa
2019	J	`jnl`	Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms. CoRR Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
2019	J	`jnl`	Learning-Aided Physical Layer Attacks Against Multicarrier Communications in IoT. CoRR Alireza Nooraiepour, Waheed U. Bajwa, Narayan B. Mandayam
2019	—	`conf`	PAC Learning from Distributed Data in the Presence of Malicious Nodes. CAMSAP Zhixiong Yang, Waheed U. Bajwa
2019	—	`conf`	Revisiting Sparse Channel Estimation in Massive MIMO-OFDM Systems. SPAWC Zahra Shakeri, Batoul Taki, André L. F. de Almeida, Mohsen Ghassemi, Waheed U. Bajwa
2019	B	`conf`	Sample Complexity Bounds for Low-Separation-Rank Dictionary Learning. ISIT Mohsen Ghassemi, Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate
2019	J	`jnl`	Stochastic Optimization From Distributed Streaming Data in Rate-Limited Networks. IEEE Trans. Signal Inf. Process. over Networks Matthew S. Nokleby, Waheed U. Bajwa
2019	J	`jnl`	Tensor Regression Using Low-rank and Sparse Tucker Decompositions. CoRR Talal Ahmed, Haroon Raja, Waheed U. Bajwa
2018	J	`jnl`	A Low Tensor-Rank Representation Approach for Clustering of Imaging Data. IEEE Signal Process. Lett. Tong Wu, Waheed U. Bajwa
2018	—	`conf`	BYRDIE: A Byzantine-Resilient Distributed Learning Algorithm. DSW Zhixiong Yang, Waheed U. Bajwa
2018	J	`jnl`	Detection Theory for Union of Subspaces. IEEE Trans. Signal Process. Muhammad Asad Lodhi, Waheed U. Bajwa
2018	Misc	`conf`	Flipping Large Classes on a Shoestring Budget. ICASSP Waheed U. Bajwa
2018	—	`conf`	How Secure are Multicarrier Communication Systems Against Signal Exploitation Attacks? MILCOM Alireza Nooraiepour, Kenza Hamidouche, Waheed U. Bajwa, Narayan B. Mandayam
2018	J	`jnl`	Identifiability of Kronecker-Structured Dictionaries for Tensor Data. IEEE J. Sel. Top. Signal Process. Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
2018	J	`jnl`	Minimax Lower Bounds on Dictionary Learning for Tensor Data. IEEE Trans. Inf. Theory Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate
2018	—	`conf`	Robust Distributed Dictionary Learning for In-Network Image Compression. ICAC Parul Pandey, Mehdi Rahmati, Dario Pompili, Waheed U. Bajwa
2018	J	`jnl`	Sparsity-Based Joint NBI and Impulse Noise Mitigation in Hybrid PLC-Wireless Transmissions. IEEE Access Mahmoud Elgenedy, Mohamed Mokhtar, Ridha Hamila, Waheed U. Bajwa, Ahmed S. Ibrahim, Naofal Al-Dhahir
2018	—	`conf`	Union of Subspaces Signal Detection In Subspace Interference. SSP Muhammad Asad Lodhi, Waheed U. Bajwa
2017	J	`jnl`	ByRDiE: Byzantine-resilient distributed coordinate descent for decentralized learning. CoRR Zhixiong Yang, Waheed U. Bajwa
2017	—	`conf`	Correlation-Based ultrahigh-dimensional variable screening. CAMSAP Talal Ahmed, Waheed U. Bajwa
2017	J	`jnl`	Design and Analysis of Sparsifying Dictionaries for FIR MIMO Equalizers. CoRR Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa, Naofal Al-Dhahir
2017	J	`jnl`	Design and Analysis of Sparsifying Dictionaries for FIR MIMO Equalizers. IEEE Trans. Wirel. Commun. Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa, Naofal Al-Dhahir
2017	—	`conf`	Distributed mirror descent for stochastic learning over rate-limited networks. CAMSAP Matthew S. Nokleby, Waheed U. Bajwa
2017	J	`jnl`	ExSIS: Extended Sure Independence Screening for Ultrahigh-dimensional Linear Models. CoRR Talal Ahmed, Waheed U. Bajwa
2017	J	`jnl`	Generalized Geometric Programming for Rate Allocation in Consensus. CoRR Ryan Pilgrim, Junan Zhu, Dror Baron, Waheed U. Bajwa
2017	—	`conf`	Generalized geometric programming for rate allocation in consensus. Allerton Ryan Pilgrim, Junan Zhu, Dror Baron, Waheed U. Bajwa
2017	J	`jnl`	Identifiability of Kronecker-structured Dictionaries for Tensor Data. CoRR Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
2017	—	`conf`	Identification of kronecker-structured dictionaries: An asymptotic analysis. CAMSAP Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
2017	J	`jnl`	On "Flipping" a Large Signal Processing Class [SP Education]. IEEE Signal Process. Mag. Waheed U. Bajwa
2017	Misc	`conf`	Recent developments in distributed dictionary learning. CISS Haroon Raja, Waheed U. Bajwa
2017	J	`jnl`	STARK: Structured Dictionary Learning Through Rank-one Tensor Recovery. CoRR Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
2017	—	`conf`	STARK: Structured dictionary learning through rank-one tensor recovery. CAMSAP Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
2017	Misc	`conf`	Sample complexity bounds for dictionary learning of tensor data. ICASSP Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate
2017	J	`jnl`	Stochastic Optimization from Distributed, Streaming Data in Rate-limited Networks. CoRR Matthew S. Nokleby, Waheed U. Bajwa
2017	Misc	`conf`	Through-the-wall radar imaging using a distributed Quasi-Newton method. ACSSC Haroon Raja, Waheed U. Bajwa, Fauzia Ahmad
2016	J	`jnl`	Cloud K-SVD: A Collaborative Dictionary Learning Algorithm for Big, Distributed Data. IEEE Trans. Signal Process. Haroon Raja, Waheed U. Bajwa
2016	—	`conf`	Clustering-aware structure-constrained low-rank representation model for learning human action attributes. IVMSP Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa
2016	J	`jnl`	Design and Analysis Framework for Sparse FIR Channel Shortening. CoRR Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa, Naofal Al-Dhahir
2016	—	`conf`	Design and analysis framework for sparse FIR channel shortening. ICC Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa, Naofal Al-Dhahir
2016	J	`jnl`	Human Action Attribute Learning From Video Data Using Low-Rank Representations. CoRR Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa
2016	J	`jnl`	Minimax Lower Bounds for Kronecker-Structured Dictionary Learning. CoRR Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate
2016	J	`jnl`	Minimax Lower Bounds on Dictionary Learning for Tensor Data. CoRR Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate
2016	J	`jnl`	Passive RFID for Object and Use Detection during Trauma Resuscitation. IEEE Trans. Mob. Comput. Siddika Parlak, Ivan Marsic, Aleksandra Sarcevic, Waheed U. Bajwa, Lauren J. Waterhouse, Randall S. Burd
2016	Misc	`conf`	RD-SVM: A resilient distributed support vector machine. ICASSP Zhixiong Yang, Waheed U. Bajwa
2016	—	`conf`	Revisiting maximal response-based local identification of overcomplete dictionaries. SAM Zahra Shakeri, Waheed U. Bajwa
2016	—	`conf`	Sparsifying dictionary analysis for FIR MIMO channel-shortening equalizers. SPAWC Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa, Naofal Al-Dhahir
2015	J	`jnl`	A General Framework for the Design and Analysis of Sparse FIR Linear Equalizers. CoRR Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa, Naofal Al-Dhahir
2015	B	`conf`	A convergence analysis of distributed dictionary learning based on the K-SVD algorithm. ISIT Haroon Raja, Waheed U. Bajwa
2015	—	`conf`	A general framework for the design and analysis of sparse FIR linear equalizers. GlobalSIP Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa, Naofal Al-Dhahir
2015	J	`jnl`	Conditioning of Random Block Subdictionaries With Applications to Block-Sparse Recovery and Regression. IEEE Trans. Inf. Theory Waheed U. Bajwa, Marco F. Duarte, A. Robert Calderbank
2015	Misc	`conf`	Deterministic selection of pilot tones for compressive estimation of MIMO-OFDM channels. CISS Zahra Shakeri, Waheed U. Bajwa
2015	—	`conf`	Exploiting block sparsity for joint mitigation of asynchronous NBI and IN in hybrid powerline-wireless communications. SmartGridComm Mohamed Mokhtar, Waheed U. Bajwa, Mahmoud Elgenedy, Naofal Al-Dhahir
2015	—	`conf`	Hierarchical Union-of-Subspaces Model for Human Activity Summarization. ICCV Workshops Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa
2015	J	`jnl`	Identification of Linear Time-Varying Systems Through Waveform Diversity. IEEE Trans. Signal Process. Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank
2015	J	`jnl`	Learning the Nonlinear Geometry of High-Dimensional Data: Models and Algorithms. IEEE Trans. Signal Process. Tong Wu, Waheed U. Bajwa
2015	J	`jnl`	MIMO-MC radar: A MIMO radar approach based on matrix completion. IEEE Trans. Aerosp. Electron. Syst. Shunqiao Sun, Waheed U. Bajwa, Athina P. Petropulu
2015	Misc	`conf`	Metric-Constrained Kernel Union of Subspaces. ICASSP Tong Wu, Waheed U. Bajwa
2015	B	`conf`	Sparsity-aware joint narrowband interference and impulse noise mitigation for hybrid powerline-wireless transmission. WCNC Mohamed Mokhtar, Waheed U. Bajwa, Naofal Al-Dhahir
2014	J	`jnl`	A Multiple Hypothesis Testing Approach to Low-Complexity Subspace Unmixing. CoRR Waheed U. Bajwa, Dustin G. Mixon
2014	—	`conf`	A greedy, adaptive approach to learning geometry of nonlinear manifolds. SSP Talal Ahmed, Waheed U. Bajwa
2014	A	`conf`	Average Case Analysis of High-Dimensional Block-Sparse Recovery and Regression for Arbitrary Designs. AISTATS Waheed U. Bajwa, Marco F. Duarte, A. Robert Calderbank
2014	J	`jnl`	Bits Through Bufferless Queues. CoRR Mehrnaz Tavan, Roy D. Yates, Waheed U. Bajwa
2014	Misc	`conf`	Capacity analysis of a discrete-time bufferless timing channel. CISS Mehrnaz Tavan, Roy D. Yates, Waheed U. Bajwa
2014	J	`jnl`	Cloud K-SVD: A Collaborative Dictionary Learning Algorithm for Big, Distributed Data. CoRR Haroon Raja, Waheed U. Bajwa
2014	—	`conf`	Dictionary learning based nonlinear classifier training from distributed data. GlobalSIP Zahra Shakeri, Haroon Raja, Waheed U. Bajwa
2014	Misc	`conf`	Efficient linear time-varying system identification using chirp waveforms. ACSSC Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank
2014	—	`conf`	Geometrie manifold approximation using union of tangent patches. GlobalSIP Talal Ahmed, Waheed U. Bajwa
2014	J	`jnl`	Identification of Linear Time-Varying Systems Through Waveform Diversity. CoRR Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank
2014	B	`conf`	Information in tweets: Analysis of a bufferless timing channel model. ISIT Mehrnaz Tavan, Roy D. Yates, Waheed U. Bajwa
2014	J	`jnl`	Learning the nonlinear geometry of high-dimensional data: Models and algorithms. CoRR Tong Wu, Waheed U. Bajwa
2014	J	`jnl`	MIMO-MC Radar: A MIMO Radar Approach Based on Matrix Completion. CoRR Shunqiao Sun, Waheed U. Bajwa, Athina P. Petropulu
2014	Misc	`conf`	Revisiting robustness of the union-of-subspaces model for data-adaptive learning of nonlinear signal models. ICASSP Tong Wu, Waheed U. Bajwa
2014	—	`conf`	Subspace detection in a kernel space: The missing data case. SSP Tong Wu, Waheed U. Bajwa
2013	J	`jnl`	A Constrained Random Demodulator for Sub-Nyquist Sampling. IEEE Trans. Signal Process. Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank
2013	—	`conf`	Bits through bufferless queues. Allerton Mehrnaz Tavan, Roy D. Yates, Waheed U. Bajwa
2013	—	`conf`	Cloud K-SVD: Computing data-adaptive representations in the cloud. Allerton Haroon Raja, Waheed U. Bajwa
2013	J	`jnl`	Conditioning of Random Block Subdictionaries with Applications to Block-Sparse Recovery and Regression. CoRR Waheed U. Bajwa, Marco F. Duarte, A. Robert Calderbank
2013	J	`jnl`	Finding Zeros: Greedy Detection of Holes CoRR Juhwan Yoo, Yao Xie, Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank
2013	J	`jnl`	Level Set Estimation from Projection Measurements: Performance Guarantees and Fast Computation. SIAM J. Imaging Sci. Kalyani Krishnamurthy, Waheed U. Bajwa, Rebecca Willett
2013	—	`conf`	Resource tradeoffs in distributed subspace tracking over the wireless medium. GlobalSIP Matthew S. Nokleby, Waheed U. Bajwa
2013	—	`conf`	Resource-efficient parametric recovery of linear time-varying systems. CAMSAP Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank
2013	—	`conf`	Shaping the power spectra of bipolar sequences with application to sub-Nyquist sampling. CAMSAP Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank
2013	J	`jnl`	Target Estimation in Colocated MIMO Radar via Matrix Completion CoRR Shunqiao Sun, Athina P. Petropulu, Waheed U. Bajwa
2013	Misc	`conf`	Target estimation in colocated MIMO radar via matrix completion. ICASSP Shunqiao Sun, Athina P. Petropulu, Waheed U. Bajwa
2013	J	`jnl`	Toward Resource-Optimal Consensus Over the Wireless Medium. IEEE J. Sel. Top. Signal Process. Matthew S. Nokleby, Waheed U. Bajwa, A. Robert Calderbank, Behnaam Aazhang
2012	J	`jnl`	Asynchronous code-division random access using convex optimization. Phys. Commun. Lorne Applebaum, Waheed U. Bajwa, Marco F. Duarte, A. Robert Calderbank
2012	J	`jnl`	Faster than Nyquist but Slower than Tropp et al CoRR Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank
2012	J	`jnl`	Group Model Selection Using Marginal Correlations: The Good, the Bad and the Ugly CoRR Waheed U. Bajwa, Dustin G. Mixon
2012	—	`conf`	Group model selection using marginal correlations: The good, the bad and the Ugly. Allerton Conference Waheed U. Bajwa, Dustin G. Mixon
2012	Misc	`conf`	Hierarchical averaging over wireless sensor networks. ICASSP Matthew S. Nokleby, Waheed U. Bajwa, A. Robert Calderbank, Behnaam Aazhang
2012	—	`conf`	Rapid sensing of underutilized, wideband spectrum using the Random Demodulator. ACSCC Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank
2012	J	`jnl`	Special issue on compressive sensing in communications. Phys. Commun. Waheed U. Bajwa, Geert Leus, Anna Scaglione, Milica Stojanovic, Zhi Tian
2012	J	`jnl`	Toward Resource-Optimal Consensus over the Wireless Medium CoRR Matthew S. Nokleby, Waheed U. Bajwa, A. Robert Calderbank, Behnaam Aazhang
2012	—	`conf`	Toward resource-optimal averaging consensus over the wireless medium. ACSCC Matthew S. Nokleby, Waheed U. Bajwa, A. Robert Calderbank, Behnaam Aazhang
2011	J	`jnl`	Asynchronous Code-Division Random Access Using Convex Optimization CoRR Lorne Applebaum, Waheed U. Bajwa, Marco F. Duarte, A. Robert Calderbank
2011	Misc	`conf`	Beating nyquist through correlations: A constrained random demodulator for sampling of sparse bandlimited signals. ICASSP Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank
2011	—	`conf`	Choir codes: Coding for full duplex interference management. Allerton Lorne Applebaum, Waheed U. Bajwa, A. Robert Calderbank, Stephen D. Howard
2011	—	`conf`	Deterministic pilot sequences for sparse channel estimation in OFDM systems. DSP Lorne Applebaum, Waheed U. Bajwa, A. Robert Calderbank, Jarvis D. Haupt, Robert Nowak
2011	—	`conf`	Faster than Nyquist, slower than Tropp. CAMSAP Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank
2011	B	`conf`	Frame coherence and sparse signal processing. ISIT Dustin G. Mixon, Waheed U. Bajwa, A. Robert Calderbank
2011	—	`conf`	Gossiping in groups: Distributed averaging over the wireless medium. Allerton Matthew S. Nokleby, Waheed U. Bajwa, A. Robert Calderbank, Behnaam Aazhang
2011	J	`jnl`	Identification of Parametric Underspread Linear Systems and Super-Resolution Radar. IEEE Trans. Signal Process. Waheed U. Bajwa, Kfir Gedalyahu, Yonina C. Eldar
2011	Misc	`conf`	On the identification of parametric underspread linear systems. ICASSP Waheed U. Bajwa, Kfir Gedalyahu, Yonina C. Eldar
2010	J	`jnl`	Identification of Underspread Linear Systems with Application to Super-Resolution Radar CoRR Waheed U. Bajwa, Kfir Gedalyahu, Yonina C. Eldar
2010	B	`conf`	Model selection: Two fundamental measures of coherence and their algorithmic significance. ISIT Waheed U. Bajwa, A. Robert Calderbank, Sina Jafarpour
2010	—	`conf`	Multiuser detection in asynchronous on-off random access channels using lasso. Allerton Lorne Applebaum, Waheed U. Bajwa, Marco F. Duarte, A. Robert Calderbank
2010	—	`conf`	Revisiting model selection and recovery of sparse signals using one-step thresholding. Allerton Waheed U. Bajwa, A. Robert Calderbank, Sina Jafarpour
2010	J	`jnl`	Why Gabor Frames? Two Fundamental Measures of Coherence and Their Role in Model Selection CoRR Waheed U. Bajwa, A. Robert Calderbank, Sina Jafarpour
2010	J	`jnl`	Why Gabor frames? Two fundamental measures of coherence and their role in model selection. J. Commun. Networks Waheed U. Bajwa, A. Robert Calderbank, Sina Jafarpour
2009	—	`conf`	A restricted isometry property for structurally-subsampled unitary matrices. Allerton Waheed U. Bajwa, Akbar M. Sayeed, Robert Nowak
2009	J	`jnl`	Why Gabor Frames? Two Fundamental Measures of Coherence and their Geometric Significance CoRR Waheed U. Bajwa, A. Robert Calderbank, Sina Jafarpour
2008	J	`jnl`	Compressed Sensing for Networked Data. IEEE Signal Process. Mag. Jarvis D. Haupt, Waheed U. Bajwa, Michael G. Rabbat, Robert D. Nowak
2008	—	`conf`	Compressed sensing of wireless channels in time, frequency, and space. ACSCC Waheed U. Bajwa, Akbar M. Sayeed, Robert D. Nowak
2008	—	`conf`	Learning sparse doubly-selective channels. Allerton Waheed U. Bajwa, Akbar M. Sayeed, Robert Nowak