Jennifer Tang

According to our database, Jennifer Tang authored at least 13 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Capacity of Noisy Permutation Channels.

Jennifer Tang, Yury Polyanskiy

IEEE Trans. Inf. Theory, July, 2023

Estimating True Beliefs from Declared Opinions.

Jennifer Tang, Aviv Adler, Amir Ajorlou, Ali Jadbabaie

CoRR, 2023

Stochastic Opinion Dynamics Under Social Pressure in Arbitrary Networks.

Jennifer Tang, Aviv Adler, Amir Ajorlou, Ali Jadbabaie

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Efficient Representation of Large-Alphabet Probability Distributions.

Aviv Adler, Jennifer Tang, Yury Polyanskiy

IEEE J. Sel. Areas Inf. Theory, December, 2022

Divergence Covering.

Jennifer Tang

PhD thesis, 2022

Exploiting Temporal Structures of Cyclostationary Signals for Data-Driven Single-Channel Source Separation.

Gary C. F. Lee, Amir Weiss, Alejandro Lancho, Jennifer Tang, Yuheng Bu, Yury Polyanskiy, Gregory W. Wornell

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Multi-resolution Fine-Tuning of Vision Transformers.

Kerr Fitzgerald, Meng Law, Jarrel Seah, Jennifer Tang, Bogdan J. Matuszewski

Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

Efficient Representation of Large-Alphabet Probability Distributions via Arcsinh-Compander.

Aviv Adler, Jennifer Tang, Yury Polyanskiy

Proceedings of the IEEE International Symposium on Information Theory, 2022

Data-Driven Blind Synchronization and Interference Rejection for Digital Communication Signals.

Alejandro Lancho, Amir Weiss, Gary C. F. Lee, Jennifer Tang, Yuheng Bu, Yury Polyanskiy, Gregory W. Wornell

Proceedings of the IEEE Global Communications Conference, 2022

Minimax Regret on Patterns Using Kullback-Leibler Divergence Covering.

Jennifer Tang

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021

Quantization of Random Distributions under KL Divergence.

Aviv Adler, Jennifer Tang, Yury Polyanskiy

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

Tracking to Improve Detection Quality in Lidar For Autonomous Driving.

Jennifer Tang, Atulya Yellepeddi, Sefa Demirtas, Christopher Barber

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2018

Defect Tolerance: Fundamental Limits and Examples.

Jennifer Tang, Da Wang, Yury Polyanskiy, Gregory W. Wornell

IEEE Trans. Inf. Theory, 2018