Detection for an AF Cooperative Diversity Network in the Presence of Interference. - Ali Ramezani-Kebrya; Il-Min Kim 001; François Chan; Robert J. Inkol; Hyoung-Kyu Song (IEEE Commun. Lett., 2013)

Likelihood-Based Modulation Classification for Multiple-Antenna Receiver. - Ali Ramezani-Kebrya; Il-Min Kim 001; Dong In Kim; François Chan; Robert J. Inkol (IEEE Trans. Commun., 2013)

Optimal cooperative relay beamforming for interference minimization. - Ali Ramezani-Kebrya; Min Dong 001; Ben Liang 001; Gary Boudreau; Ronald Casselman (ICC, 2015)

Optimal power allocation in device-to-device communication with SIMO uplink beamforming. - Ali Ramezani-Kebrya; Min Dong 001; Ben Liang 001; Gary Boudreau; S. Hossein Seyedmehdi (SPAWC, 2015)

Per-Relay Power Minimization for Multi-user Multi-channel Cooperative Relay Beamforming. - Ali Ramezani-Kebrya; Min Dong 001; Ben Liang 001; Gary Boudreau; Ronald Casselman (IEEE Trans. Wirel. Commun., 2016)

Robust power optimization for device-to-device communication in a multi-cell network under partial CSI. - Ali Ramezani-Kebrya; Min Dong 001; Ben Liang 001; Gary Boudreau; S. Hossein Seyedmehdi (ICC, 2017)

Joint Power Optimization for Device-to-Device Communication in Cellular Networks With Interference Control. - Ali Ramezani-Kebrya; Min Dong 001; Ben Liang 001; Gary Boudreau; S. Hossein Seyedmehdi (IEEE Trans. Wirel. Commun., 2017)

Interference Minimization in Cooperative Relay Beamforming With Multiple Communicating Pairs. - Ali Ramezani-Kebrya; Ben Liang 001; Min Dong 001; Gary Boudreau; Ronald Casselman (IEEE Trans. Wirel. Commun., 2017)

On the Stability and Convergence of Stochastic Gradient Descent with Momentum. - Ali Ramezani-Kebrya; Ashish Khisti; Ben Liang 001 (CoRR, 2018)

NUQSGD: Improved Communication Efficiency for Data-parallel SGD via Nonuniform Quantization. - Ali Ramezani-Kebrya; Fartash Faghri; Daniel M. Roy 001 (CoRR, 2019)

Adaptive Gradient Quantization for Data-Parallel SGD. - Fartash Faghri; Iman Tabrizian; Ilia Markov; Dan Alistarh; Daniel M. Roy 001; Ali Ramezani-Kebrya (NeurIPS, 2020)

Subquadratic Overparameterization for Shallow Neural Networks. - Chaehwan Song; Ali Ramezani-Kebrya; Thomas Pethick; Armin Eftekhari; Volkan Cevher (NeurIPS, 2021)

NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization. - Ali Ramezani-Kebrya; Fartash Faghri; Ilya Markov; Vitalii Aksenov; Dan Alistarh; Daniel M. Roy 001 (J. Mach. Learn. Res., 2021)

Robust Design of Multicell D2D Communication Under Partial CSI. - Ali Ramezani-Kebrya; Ben Liang 001; Min Dong 001; Gary Boudreau (IEEE Internet Things J., 2022)

MixTailor: Mixed Gradient Aggregation for Robust Learning Against Tailored Attacks. - Ali Ramezani-Kebrya; Iman Tabrizian; Fartash Faghri; Petar Popovski (Trans. Mach. Learn. Res., 2022)

Distributed Extra-gradient with Optimal Complexity and Communication Guarantees. - Ali Ramezani-Kebrya; Kimon Antonakopoulos; Igor Krawczuk; Justin Deschenaux; Volkan Cevher (ICLR, 2023)

Federated Learning under Covariate Shifts with Generalization Guarantees. - Ali Ramezani-Kebrya; Fanghui Liu 001; Thomas Pethick; Grigorios Chrysos 002; Volkan Cevher (Trans. Mach. Learn. Res., 2023)

On the Generalization of Stochastic Gradient Descent with Momentum. - Ali Ramezani-Kebrya; Kimon Antonakopoulos; Volkan Cevher; Ashish Khisti; Ben Liang 001 (J. Mach. Learn. Res., 2024)

Mixed Nash for Robust Federated Learning. - Wanyun Xie; Thomas Pethick; Ali Ramezani-Kebrya; Volkan Cevher (Trans. Mach. Learn. Res., 2024)

Addressing Label Shift in Distributed Learning via Entropy Regularization​. - Zhiyuan Wu; Changkyu Choi; Xiangcheng Cao; Volkan Cevher; Ali Ramezani-Kebrya (ICLR, 2025)

Leveraging Foundation Model Adapters to Enable Robust and Semantic Underwater Exploration. - Changkyu Choi; Arangan Subramaniam; Nils Olav Handegard; Ali Ramezani-Kebrya; Robert Jenssen (NAIS, 2025)

Layer-wise Quantization for Quantized Optimistic Dual Averaging. - Anh Duc Nguyen; Ilia Markov; Frank Zhengqing Wu; Ali Ramezani-Kebrya; Kimon Antonakopoulos; Dan Alistarh; Volkan Cevher (CoRR, 2025)