Waheed U. Bajwa

ORCID

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 101

Top Venues

CoRR

CAMSAP

ICASSP

IEEE Trans. Signal Process.

Publications

Alireza Nooraiepour, Shaghayegh Vosoughitabar, Chung-Tse Michael Wu, Waheed U. Bajwa, Narayan B. Mandayam
Programming Wireless Security Through Learning-Aided Spatiotemporal Digital Coding Metamaterial Antenna. Adv. Intell. Syst. 5 (10) (2023)
Muhammad Zulqarnain, Arpita Gang, Waheed U. Bajwa
C-DIEGO: An Algorithm with Near-Optimal Sample Complexity for Distributed, Streaming PCA. CISS (2023)
Joseph Shenouda, Waheed U. Bajwa
A Guide to Computational Reproducibility in Signal Processing and Machine Learning [Tips & Tricks]. IEEE Signal Process. Mag. 40 (2) (2023)
Rishabh Dixit, Mert Gürbüzbalaban, Waheed U. Bajwa
Accelerated gradient methods for nonconvex optimization: Escape trajectories from strict saddle points and convergence to local minima. CoRR (2023)
Parul Pandey, Mehdi Rahmati, Waheed U. Bajwa, Dario Pompili
Real-Time In-Network Image Compression via Distributed Dictionary Learning. IEEE Trans. Mob. Comput. 22 (1) (2023)
Or Ohev Shalom, Amir Leshem, Waheed U. Bajwa
Mitigating Data Injection Attacks on Federated Learning. CoRR (2023)
Batoul Taki, Anand D. Sarwate, Waheed U. Bajwa
Structured Low-Rank Tensors for Generalized Linear Models. CoRR (2023)
Rishabh Dixit, Mert Gürbüzbalaban, Waheed U. Bajwa
Boundary Conditions for Linear Exit Time Gradient Trajectories Around Saddle Points: Analysis and Algorithm. IEEE Trans. Inf. Theory 69 (4) (2023)
Arpita Gang, Waheed U. Bajwa
A linearly convergent algorithm for distributed principal component analysis. Signal Process. 193 (2022)
Haroon Raja, Waheed U. Bajwa
Distributed Stochastic Algorithms for High-rate Streaming Principal Component Analysis. Trans. Mach. Learn. Res. 2022 (2022)
Arpita Gang, Waheed U. Bajwa
The Best of Both Worlds: Distributed PCA That is Both Exact and Communication Efficient. EUSIPCO (2022)
Alireza Nooraiepour, Shaghayegh Vosoughitabar, Chung-Tse Michael Wu, Waheed U. Bajwa, Narayan B. Mandayam
Space-Time Digitally-Coded Metamaterial Antenna Enabled Directional Modulation for Physical Layer Security. CoRR (2022)
Cheng Fang, Zhixiong Yang, Waheed U. Bajwa
BRIDGE: Byzantine-Resilient Decentralized Gradient Descent. IEEE Trans. Signal Inf. Process. over Networks 8 (2022)
Shixiao Liang, Aaron Higuera, Christina Peters, Venkat Roy, Waheed U. Bajwa, Hagit Shatkay, Christopher D. Tunnell
Domain-Informed Neural Networks for Interaction Localization Within Astroparticle Experiments. Frontiers Artif. Intell. 5 (2022)
Arpita Gang, Waheed U. Bajwa
FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component Analysis. IEEE Trans. Signal Process. 70 (2022)
Alireza Nooraiepour, Shaghayegh Vosoughitabar, Chung-Tse Michael Wu, Waheed U. Bajwa, Narayan B. Mandayam
Time-varying Metamaterial-enabled Directional Modulation Schemes for Physical Layer Security in Wireless Communication Links. ACM J. Emerg. Technol. Comput. Syst. 18 (4) (2022)
Yang Hu, Batoul Taki, Waheed U. Bajwa, Manoop Talasila, Mukesh Mantan, Syed Anwar Aftab
A Machine Learning-Driven Analysis of Phantom E911 Calls. WiseML@WiSec (2022)
Shixiao Liang, Aaron Higuera, Christina Peters, Venkat Roy, Waheed U. Bajwa, Hagit Shatkay, Christopher D. Tunnell
Domain-informed neural networks for interaction localization within astroparticle experiments. CoRR (2021)
Batoul Taki, Mohsen Ghassemi, Anand D. Sarwate, Waheed U. Bajwa
A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression. CoRR (2021)
Alireza Nooraiepour, Waheed U. Bajwa, Narayan B. Mandayam
A hybrid model-based and learning-based approach for classification using limited number of training samples. CoRR (2021)
Rishabh Dixit, Waheed U. Bajwa
Boundary Conditions for Linear Exit Time Gradient Trajectories Around Saddle Points: Analysis and Algorithm. CoRR (2021)
Batoul Taki, Mohsen Ghassemi, Anand D. Sarwate, Waheed U. Bajwa
A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression. ACSCC (2021)
Arpita Gang, Bingqing Xiang, Waheed U. Bajwa
Distributed Principal Subspace Analysis for Partitioned Big Data: Algorithms, Analysis, and Implementation. IEEE Trans. Signal Inf. Process. over Networks 7 (2021)
Bingqing Xiang, Arpita Gang, Waheed U. Bajwa
Distributed Principal Subspace Analysis for Partitioned Big Data: Algorithms, Analysis, and Implementation. CoRR (2021)
Joseph Shenouda, Waheed U. Bajwa
A Guide to Reproducible Research in Signal Processing and Machine Learning. CoRR (2021)
Alireza Nooraiepour, Waheed U. Bajwa, Narayan B. Mandayam
Learning-Aided Physical Layer Attacks Against Multicarrier Communications in IoT. IEEE Trans. Cogn. Commun. Netw. 7 (1) (2021)
Alireza Nooraiepour, Waheed U. Bajwa, Narayan B. Mandayam
Hyphylearn: A Domain Adaptation-Inspired Approach to Classification Using Limited Number of Training Samples. MLSP (2021)
Arpita Gang, Waheed U. Bajwa
A Linearly Convergent Algorithm for Distributed Principal Component Analysis. CoRR (2021)
Arpita Gang, Waheed U. Bajwa
FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component Analysis. CoRR (2021)
Muhammad Asad Lodhi, Waheed U. Bajwa
Learning Product Graphs Underlying Smooth Graph Signals. CoRR (2020)
Talal Ahmed, Haroon Raja, Waheed U. Bajwa
Tensor Regression Using Low-Rank and Sparse Tucker Decompositions. SIAM J. Math. Data Sci. 2 (4) (2020)
Rishabh Dixit, Waheed U. Bajwa
Exit Time Analysis for Approximations of Gradient Descent Trajectories Around Saddle Points. CoRR (2020)
Waheed U. Bajwa, Volkan Cevher, Dimitris S. Papailiopoulos, Anna Scaglione
Machine Learning From Distributed, Streaming Data [From the Guest Editors]. IEEE Signal Process. Mag. 37 (3) (2020)
Matthew S. Nokleby, Haroon Raja, Waheed U. Bajwa
Scaling-up Distributed Processing of Data Streams for Machine Learning. CoRR (2020)
Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms. IEEE Trans. Signal Process. 68 (2020)
Haroon Raja, Waheed U. Bajwa
Distributed Stochastic Algorithms for High-rate Streaming Principal Component Analysis. CoRR (2020)
Zhixiong Yang, Arpita Gang, Waheed U. Bajwa
Adversary-Resilient Distributed and Decentralized Statistical Inference and Machine Learning: An Overview of Recent Advances Under the Byzantine Threat Model. IEEE Signal Process. Mag. 37 (3) (2020)
Usman A. Khan, Waheed U. Bajwa, Angelia Nedic, Michael G. Rabbat, Ali H. Sayed
Optimization for Data-Driven Learning and Control. Proc. IEEE 108 (11) (2020)
Matthew S. Nokleby, Haroon Raja, Waheed U. Bajwa
Scaling-Up Distributed Processing of Data Streams for Machine Learning. Proc. IEEE 108 (11) (2020)
Talal Ahmed, Waheed U. Bajwa
ExSIS: Extended sure independence screening for ultrahigh-dimensional linear models. Signal Process. 159 (2019)
Mohsen Ghassemi, Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate
Sample Complexity Bounds for Low-Separation-Rank Dictionary Learning. ISIT (2019)
Zahra Shakeri, Batoul Taki, André L. F. de Almeida, Mohsen Ghassemi, Waheed U. Bajwa
Revisiting Sparse Channel Estimation in Massive MIMO-OFDM Systems. SPAWC (2019)
Talal Ahmed, Haroon Raja, Waheed U. Bajwa
Tensor Regression Using Low-rank and Sparse Tucker Decompositions. CoRR (2019)
Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms. CoRR (2019)
Zhixiong Yang, Waheed U. Bajwa
PAC Learning from Distributed Data in the Presence of Malicious Nodes. CAMSAP (2019)
Matthew S. Nokleby, Waheed U. Bajwa
Stochastic Optimization From Distributed Streaming Data in Rate-Limited Networks. IEEE Trans. Signal Inf. Process. over Networks 5 (1) (2019)
Arpita Gang, Haroon Raja, Waheed U. Bajwa
Fast and Communication-efficient Distributed Pca. ICASSP (2019)
Zhixiong Yang, Waheed U. Bajwa
BRIDGE: Byzantine-resilient Decentralized Gradient Descent. CoRR (2019)
Alireza Nooraiepour, Waheed U. Bajwa, Narayan B. Mandayam
Learning-Aided Physical Layer Attacks Against Multicarrier Communications in IoT. CoRR (2019)
Zhixiong Yang, Waheed U. Bajwa
ByRDiE: Byzantine-Resilient Distributed Coordinate Descent for Decentralized Learning. IEEE Trans. Signal Inf. Process. over Networks 5 (4) (2019)
Zhixiong Yang, Arpita Gang, Waheed U. Bajwa
Adversary-resilient Inference and Machine Learning: From Distributed to Decentralized. CoRR (2019)
Mahmoud Elgenedy, Mohamed Mokhtar, Ridha Hamila, Waheed U. Bajwa, Ahmed S. Ibrahim, Naofal Al-Dhahir
Sparsity-Based Joint NBI and Impulse Noise Mitigation in Hybrid PLC-Wireless Transmissions. IEEE Access 6 (2018)
Waheed U. Bajwa
Flipping Large Classes on a Shoestring Budget. ICASSP (2018)
Alireza Nooraiepour, Kenza Hamidouche, Waheed U. Bajwa, Narayan B. Mandayam
How Secure are Multicarrier Communication Systems Against Signal Exploitation Attacks? MILCOM (2018)
Muhammad Asad Lodhi, Waheed U. Bajwa
Union of Subspaces Signal Detection In Subspace Interference. SSP (2018)
Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate
Minimax Lower Bounds on Dictionary Learning for Tensor Data. IEEE Trans. Inf. Theory 64 (4) (2018)
Parul Pandey, Mehdi Rahmati, Dario Pompili, Waheed U. Bajwa
Robust Distributed Dictionary Learning for In-Network Image Compression. ICAC (2018)
Muhammad Asad Lodhi, Waheed U. Bajwa
Detection Theory for Union of Subspaces. IEEE Trans. Signal Process. 66 (24) (2018)
Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
Identifiability of Kronecker-Structured Dictionaries for Tensor Data. IEEE J. Sel. Top. Signal Process. 12 (5) (2018)
Zhixiong Yang, Waheed U. Bajwa
BYRDIE: A Byzantine-Resilient Distributed Learning Algorithm. DSW (2018)
Tong Wu, Waheed U. Bajwa
A Low Tensor-Rank Representation Approach for Clustering of Imaging Data. IEEE Signal Process. Lett. 25 (8) (2018)
Haroon Raja, Waheed U. Bajwa
Recent developments in distributed dictionary learning. CISS (2017)
Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate
Sample complexity bounds for dictionary learning of tensor data. ICASSP (2017)
Talal Ahmed, Waheed U. Bajwa
ExSIS: Extended Sure Independence Screening for Ultrahigh-dimensional Linear Models. CoRR (2017)
Talal Ahmed, Waheed U. Bajwa
Correlation-Based ultrahigh-dimensional variable screening. CAMSAP (2017)
Matthew S. Nokleby, Waheed U. Bajwa
Stochastic Optimization from Distributed, Streaming Data in Rate-limited Networks. CoRR (2017)
Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
Identifiability of Kronecker-structured Dictionaries for Tensor Data. CoRR (2017)
Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
STARK: Structured dictionary learning through rank-one tensor recovery. CAMSAP (2017)
Haroon Raja, Waheed U. Bajwa, Fauzia Ahmad
Through-the-wall radar imaging using a distributed Quasi-Newton method. ACSSC (2017)
Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
Identification of kronecker-structured dictionaries: An asymptotic analysis. CAMSAP (2017)
Matthew S. Nokleby, Waheed U. Bajwa
Distributed mirror descent for stochastic learning over rate-limited networks. CAMSAP (2017)
Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa
STARK: Structured Dictionary Learning Through Rank-one Tensor Recovery. CoRR (2017)
Ryan Pilgrim, Junan Zhu, Dror Baron, Waheed U. Bajwa
Generalized Geometric Programming for Rate Allocation in Consensus. CoRR (2017)
Ryan Pilgrim, Junan Zhu, Dror Baron, Waheed U. Bajwa
Generalized geometric programming for rate allocation in consensus. Allerton (2017)
Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa, Naofal Al-Dhahir
Design and Analysis of Sparsifying Dictionaries for FIR MIMO Equalizers. IEEE Trans. Wirel. Commun. 16 (4) (2017)
Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa, Naofal Al-Dhahir
Design and Analysis of Sparsifying Dictionaries for FIR MIMO Equalizers. CoRR (2017)
Waheed U. Bajwa
On "Flipping" a Large Signal Processing Class [SP Education]. IEEE Signal Process. Mag. 34 (4) (2017)
Zhixiong Yang, Waheed U. Bajwa
ByRDiE: Byzantine-resilient distributed coordinate descent for decentralized learning. CoRR (2017)
Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa, Naofal Al-Dhahir
Design and analysis framework for sparse FIR channel shortening. ICC (2016)
Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa
Clustering-aware structure-constrained low-rank representation model for learning human action attributes. IVMSP (2016)
Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa
Human Action Attribute Learning From Video Data Using Low-Rank Representations. CoRR (2016)
Zhixiong Yang, Waheed U. Bajwa
RD-SVM: A resilient distributed support vector machine. ICASSP (2016)
Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa, Naofal Al-Dhahir
Sparsifying dictionary analysis for FIR MIMO channel-shortening equalizers. SPAWC (2016)
Zahra Shakeri, Waheed U. Bajwa
Revisiting maximal response-based local identification of overcomplete dictionaries. SAM (2016)
Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate
Minimax Lower Bounds for Kronecker-Structured Dictionary Learning. CoRR (2016)
Haroon Raja, Waheed U. Bajwa
Cloud K-SVD: A Collaborative Dictionary Learning Algorithm for Big, Distributed Data. IEEE Trans. Signal Process. 64 (1) (2016)
Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa, Naofal Al-Dhahir
Design and Analysis Framework for Sparse FIR Channel Shortening. CoRR (2016)
Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate
Minimax Lower Bounds on Dictionary Learning for Tensor Data. CoRR (2016)
Siddika Parlak, Ivan Marsic, Aleksandra Sarcevic, Waheed U. Bajwa, Lauren J. Waterhouse, Randall S. Burd
Passive RFID for Object and Use Detection during Trauma Resuscitation. IEEE Trans. Mob. Comput. 15 (4) (2016)
Mohamed Mokhtar, Waheed U. Bajwa, Mahmoud Elgenedy, Naofal Al-Dhahir
Exploiting block sparsity for joint mitigation of asynchronous NBI and IN in hybrid powerline-wireless communications. SmartGridComm (2015)
Mohamed Mokhtar, Waheed U. Bajwa, Naofal Al-Dhahir
Sparsity-aware joint narrowband interference and impulse noise mitigation for hybrid powerline-wireless transmission. WCNC (2015)
Shunqiao Sun, Waheed U. Bajwa, Athina P. Petropulu
MIMO-MC radar: A MIMO radar approach based on matrix completion. IEEE Trans. Aerosp. Electron. Syst. 51 (3) (2015)
Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa
Hierarchical Union-of-Subspaces Model for Human Activity Summarization. ICCV Workshops (2015)
Haroon Raja, Waheed U. Bajwa
A convergence analysis of distributed dictionary learning based on the K-SVD algorithm. ISIT (2015)
Zahra Shakeri, Waheed U. Bajwa
Deterministic selection of pilot tones for compressive estimation of MIMO-OFDM channels. CISS (2015)
Andrew Harms, Waheed U. Bajwa, A. Robert Calderbank
Identification of Linear Time-Varying Systems Through Waveform Diversity. IEEE Trans. Signal Process. 63 (8) (2015)
Waheed U. Bajwa, Marco F. Duarte, A. Robert Calderbank
Conditioning of Random Block Subdictionaries With Applications to Block-Sparse Recovery and Regression. IEEE Trans. Inf. Theory 61 (7) (2015)
Tong Wu, Waheed U. Bajwa
Metric-Constrained Kernel Union of Subspaces. ICASSP (2015)
Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa, Naofal Al-Dhahir
A General Framework for the Design and Analysis of Sparse FIR Linear Equalizers. CoRR (2015)
Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa, Naofal Al-Dhahir
A general framework for the design and analysis of sparse FIR linear equalizers. GlobalSIP (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Waheed U. Bajwa