Publications
Ten most significant publications:
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R. Huang, F. Shirani, D. Luo, "Factorized Explainer for Graph Neural Networks", Proceedings of 38th AAAI Conference on Artificial Intelligence, 2024
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M. Shariatnasab, F. Shirani, E. Erkip,
"Fundamental privacy limits in bipartite networks under active attacks"
, IEEE Journal on Selected Areas in Communications 40.3 (2022): 940-954.
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F. Shirani, S. S. Pradhan, "A Structured Coding Framework for Communication and Computation over Continuous Networks", IEEE Transactions on Information Theory, 2023 (Early Access).
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A. Khalili, F. Shirani, E. Erkip, Y. C. Eldar, "MIMO networks with one-bit ADCs: Receiver design and communication strategies". IEEE Transactions on Communications, 70(3), 1580-1594.
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F. Shirani, S. S. Pradhan A New Achievable Rate-Distortion Region for Distributed Source Coding,
IEEE Transactions on Information Theory 67.7 (2021): 4485-4503.
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F. Shirani Chaharsooghi, S. Garg and E. Erkip, A Concentration of Measure Approach to Correlated Graph Matching,
in IEEE Journal on Selected Areas in Information Theory, vol. 2, no. 1, pp. 338-351, March 2021.
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F. Shirani Chaharsooghi and S. Pradhan, On the Sub-optimality of
Single-Letter Coding in Networks,
IEEE Transactions on Information Theory, vol. 65, no. 10, pp. 6115-6135, Oct. 2019.
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S. Shahsavari, F. Shirani Chaharsooghi and E. Erkip, A General
Framework for Temporal Fair User Scheduling in NOMA Systems,
IEEE Journal on Selected Topics on Signal Processing, vol. 13, no. 3, pp. 408-422, 2019.
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Pradhan, S. S. Sandeep, A. Padakandla and F. Shirani Chaharsooghi
An Algebraic and Probabilistic Framework for Network Information Theory.
Foundations and Trends® in Communications and Information Theory 18.2 (2020): 173-379.
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F. Shirani Chaharsooghi and S. S. Pradhan, An Achievable Rate-Distortion Region for Multiple
Descriptions Source Coding Based on Coset Codes, in IEEE Transactions on Information Theory, vol. 64, no. 5, pp. 3781-3809, May 2018,
