Optimal sequential waveform design for cognitive radar. - Wasim Huleihel; Joseph Tabrikian; Reuven Shavit (ICASSP, 2012)

Optimal Adaptive Waveform Design for Cognitive MIMO Radar. - Wasim Huleihel; Joseph Tabrikian; Reuven Shavit (IEEE Trans. Signal Process., 2013)

Analysis of Mismatched Estimation Errors Using Gradients of Partition Functions. - Wasim Huleihel; Neri Merhav (IEEE Trans. Inf. Theory, 2014)

Exact Random Coding Error Exponents for the Two-User Interference Channel. - Wasim Huleihel; Neri Merhav (CoRR, 2015)

Universal Decoding for Gaussian Intersymbol Interference Channels. - Wasim Huleihel; Neri Merhav (IEEE Trans. Inf. Theory, 2015)

On Compressive Sensing in Coding Problems: A Rigorous Approach. - Wasim Huleihel; Neri Merhav; Shlomo Shamai (IEEE Trans. Inf. Theory, 2015)

Multiple access channel with unreliable cribbing. - Wasim Huleihel; Yossef Steinberg (ISIT, 2016)

Erasure/List Random Coding Error Exponents Are Not Universally Achievable. - Wasim Huleihel; Nir Weinberger; Neri Merhav (IEEE Trans. Inf. Theory, 2016)

How to quantize n outputs of a binary symmetric channel to n - 1 bits? - Wasim Huleihel; Or Ordentlich (ISIT, 2017)

Guessing with limited memory. - Wasim Huleihel; Salman Salamatian; Muriel Médard (ISIT, 2017)

Gaussian ISI channels with mismatch. - Wasim Huleihel; Salman Salamatian; Neri Merhav; Muriel Médard (ISIT, 2017)

Privacy through familiarity. - Wasim Huleihel; Muriel Médard (ITW, 2017)

Asymptotic MMSE analysis under sparse representation modeling. - Wasim Huleihel; Neri Merhav (Signal Process., 2017)

Random Coding Error Exponents for the Two-User Interference Channel. - Wasim Huleihel; Neri Merhav (IEEE Trans. Inf. Theory, 2017)

Channels With Cooperation Links That May Be Absent. - Wasim Huleihel; Yossef Steinberg (IEEE Trans. Inf. Theory, 2017)

Reducibility and Computational Lower Bounds for Problems with Planted Sparse Structure. - Matthew S. Brennan; Guy Bresler; Wasim Huleihel (COLT, 2018)

Design of Discrete Constellations for Peak-Power-Limited complex Gaussian Channels. - Wasim Huleihel; Ziv Goldfeld; Tobias Koch 001; Mokshay M. Madiman; Muriel Médard (ISIT, 2018)

Universality of Computational Lower Bounds for Submatrix Detection. - Matthew S. Brennan; Guy Bresler; Wasim Huleihel (COLT, 2019)

Relaying One Bit Across a Tandem of Binary-Symmetric Channels. - Wasim Huleihel; Yury Polyanskiy; Ofer Shayevitz (ISIT, 2019)

Same-Cluster Querying for Overlapping Clusters. - Wasim Huleihel; Arya Mazumdar; Muriel Médard; Soumyabrata Pal (NeurIPS, 2019)

Why Botnets Work: Distributed Brute-Force Attacks Need No Synchronization. - Salman Salamatian; Wasim Huleihel; Ahmad Beirami; Asaf Cohen 001; Muriel Médard (IEEE Trans. Inf. Forensics Secur., 2019)

Blind Group Testing. - Wasim Huleihel; Ohad Elishco; Muriel Médard (IEEE Trans. Inf. Theory, 2019)

Gaussian Intersymbol Interference Channels With Mismatch. - Wasim Huleihel; Salman Salamatian; Neri Merhav; Muriel Médard (IEEE Trans. Inf. Theory, 2019)

Sharp Thresholds of the Information Cascade Fragility Under a Mismatched Model. - Wasim Huleihel; Ofer Shayevitz (AISTATS, 2020)

Centralized vs Decentralized Targeted Brute-Force Attacks: Guessing With Side-Information. - Salman Salamatian; Wasim Huleihel; Ahmad Beirami; Asaf Cohen 001; Muriel Médard (IEEE Trans. Inf. Forensics Secur., 2020)

Learning User Preferences in Non-Stationary Environments. - Wasim Huleihel; Soumyabrata Pal; Ofer Shayevitz (AISTATS, 2021)

Fuzzy Clustering with Similarity Queries. - Wasim Huleihel; Arya Mazumdar; Soumyabrata Pal (NeurIPS, 2021)

Mathematical Framework for Online Social Media Regulation. - Wasim Huleihel; Yehonathan Refael (CoRR, 2022)

Learning k-Level Sparse Neural Networks Using a New Generalized Group Sparse Envelope Regularization. - Yehonathan Refael; Iftach Arbel; Wasim Huleihel (CoRR, 2022)

Inferring Hidden Structures in Random Graphs. - Wasim Huleihel (IEEE Trans. Signal Inf. Process. over Networks, 2022)

Phase Transitions in the Detection of Correlated Databases. - Dor Elimelech; Wasim Huleihel (ICML, 2023)

Detecting a Planted Bipartite Graph. - Asaf Rotenberg; Wasim Huleihel; Ofer Shayevitz (ISIT, 2023)

Optimal Reference for DNA Synthesis. - Ohad Elishco; Wasim Huleihel (IEEE Trans. Inf. Theory, 2023)

Statistical and Computational Limits of Detecting and Recovering Hidden Submatrices. - Marom Dadon; Wasim Huleihel; Tamir Bendory (ICASSP, 2024)

Testing Dependency of Weighted Random Graphs. - Mor Oren-Loberman; Vered Paslev; Wasim Huleihel (ISIT, 2024)

Confirmation Bias in Gaussian Mixture Models. - Amnon Balanov; Tamir Bendory; Wasim Huleihel (CoRR, 2024)

Sequential Classification of Misinformation. - Daniel Toma; Wasim Huleihel (CoRR, 2024)

Testing Dependency of Weighted Random Graphs. - Mor Oren; Vered Paslev; Wasim Huleihel (CoRR, 2024)

Random Subgraph Detection Using Queries. - Wasim Huleihel; Arya Mazumdar; Soumyabrata Pal (J. Mach. Learn. Res., 2024)

Mathematical Framework for Online Social Media Auditing. - Wasim Huleihel; Yehonathan Refael (J. Mach. Learn. Res., 2024)

Learning k-Level Structured Sparse Neural Networks Using Group Envelope Regularization. - Yehonathan Refael; Iftach Arbel; Wasim Huleihel (Trans. Mach. Learn. Res., 2024)

Detection and Recovery of Hidden Submatrices. - Marom Dadon; Wasim Huleihel; Tamir Bendory (IEEE Trans. Signal Inf. Process. over Networks, 2024)

Online Auditing of Information Flow. - Mor Oren-Loberman; Vered Azar; Wasim Huleihel (IEEE Trans. Signal Inf. Process. over Networks, 2024)

Planted Bipartite Graph Detection. - Asaf Rotenberg; Wasim Huleihel; Ofer Shayevitz (IEEE Trans. Inf. Theory, 2024)

Testing Dependency of Unlabeled Databases. - Vered Paslev; Wasim Huleihel (IEEE Trans. Inf. Theory, 2024)

Detection of Correlated Random Vectors. - Dor Elimelech; Wasim Huleihel (IEEE Trans. Inf. Theory, 2024)

Detecting Arbitrary Planted Subgraphs in Random Graphs. - Dor Elimelech; Wasim Huleihel (COLT, 2025)

AdaRankGrad: Adaptive Gradient Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning. - Yehonathan Refael; Jonathan Svirsky; Boris Shustin; Wasim Huleihel; Ofir Lindenbaum (ICLR, 2025)