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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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About Me
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Machine vision project with $10000 in venture capital.
Sparse signal processing, but without quantization noise!
Designing a convolutional encoder from the ground up.
One year internship at Intel.
Numercially and theoretically studying the differences between Fictitious Play and Smooth Fictitious Play.
Simulations to study new materials for application in phase change memories
Published in IEEE Int. Symp. Inf. Theory (ISIT), 2020
Recommended citation: Kang, J., Yu, W. (2020). " Minimum Feedback for Collision-Free Random Access." IEEE Int. Symp. Inf. Theory. https://www.comm.utoronto.ca/~weiyu/2020_ISIT_Justin.pdf
Published in IEEE Transactions on Information Theory, 2021
Recommended citation: Kang, J., Yu, W. (2021). " Minimum Feedback for Collision-Free Scheduling in Massive Random Access.". https://ieeexplore.ieee.org/abstract/document/9543702
Published in University of Toronto Collections, 2021
Recommended citation: Kang, J. (2021). " Scheduling for Massive Random Access.". https://tspace.library.utoronto.ca/handle/1807/108955
Published in IEEE Transactions on Communications, 2022
Recommended citation: Kang, J., Yu, W. (2021). "Scheduling Versus Contention for Massive Random Access in Massive MIMO Systems.". https://ieeexplore.ieee.org/abstract/document/9830079
Published in IEEE Int. Symp. Inf. Theory (ISIT), 2023
Recommended citation: Kang, J., Erginbas*, Y. E., Agzazadeh, A., Ramchandran, K. (2023). "Efficiently Computing Sparse Fourier Transforms of q-ary Functions". https://ieeexplore.ieee.org/document/10206686
Published in TMLR, To appear, 2023
Recommended citation: Kang, J., Pedarsani, R., Ramchandran, K. (2023). "The Fair Value of Data Under Heterogeneous Privacy Constraints". https://arxiv.org/pdf/2301.13336.pdf
Published in Submitted, 2024
Recommended citation: Kang, J., Erginbas, Y.E., Butler, L., Pedarsani, R., Ramchandran, K. (2024). "Learning to Understand: Identifying Interactions via the Mobius Transform". https://justinkang221.github.io/files/kang2024mobius.pdf