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Adler, A., Tang, J., & Polyanskiy, Y. (2022). Efficient representation of large-alphabet probability distributions. IEEE Journal on Selected Areas in Information Theory, 3(4), 651-663. Lien externe
Adler, A., Tang, J., & Polyanskiy, Y. (juin 2022). Efficient Representation of Large-Alphabet Probability Distributions via Arcsinh-Compander [Communication écrite]. IEEE International Symposium on Information Theory (ISIT 2022), Espoo, Finland. Lien externe
C. F. Lee, G., Weiss, A., Lancho, A., Tang, J., Bu, Y., Polyanskiy, Y., & Wornell, G. W. (août 2022). Exploiting temporal structures of cyclostationary signals for data-driven single-channel source separation [Communication écrite]. 2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP 2022), Xi'an, China (6 pages). Lien externe
Lancho, A., Weiss, A., C. F. Lee, G., Tang, J., Bu, Y., Polyanskiy, Y., & Wornell, G. W. (décembre 2022). Data-driven blind synchronization and interference rejection for digital communication signals [Communication écrite]. 2022 IEEE Global Communications Conference (GLOBECOM 2022), Rio de Janeiro, Brazil. Lien externe
Tang, J., & Polyanskiy, Y. (juin 2022). Capacity of noisy permutation channels [Communication écrite]. IEEE International Symposium on Information Theory (ISIT 2022), Espoo, Finland. Lien externe
