Zachary Chance

13 papers C 1Misc 2Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2024 C conf
Adaptive Temporal Decorrelation of State Estimates.
FUSION
Zachary Chance
2020 J jnl
Corrections to "Concatenated Coding for the AWGN Channel With Noisy Feedback".
IEEE Trans. Inf. Theory
Zachary Chance, David J. Love
2015 J jnl
Concatenated Coding Using Linear Schemes for Gaussian Broadcast Channels With Noisy Channel Output Feedback.
IEEE Trans. Commun.
Ziad Ahmad, Zachary Chance, David James Love, Chih-Chun Wang
2013 J jnl
Concatenated Coding Using Linear Schemes for Gaussian Broadcast Channels with Noisy Channel Output Feedback.
CoRR
Ziad Ahmad, Zachary Chance, David James Love
2013 J jnl
Noncoherent Trellis Coded Quantization: A Practical Limited Feedback Technique for Massive MIMO Systems
CoRR
Junil Choi, Zachary Chance, David J. Love, Upamanyu Madhow
2013 J jnl
Noncoherent Trellis Coded Quantization: A Practical Limited Feedback Technique for Massive MIMO Systems.
IEEE Trans. Commun.
Junil Choi, Zachary Chance, David J. Love, Upamanyu Madhow
2013 Misc conf
Noncoherent trellis-coded quantization for massive MIMO limited feedback beamforming.
ITA
Junil Choi, Zachary Chance, David J. Love, Upamanyu Madhow
2012 J jnl
Using Channel Output Feedback to Increase Throughput in Hybrid-ARQ.
IEEE Trans. Signal Process.
Mayur Agrawal, Zachary Chance, David James Love, Venkataramanan Balakrishnan
2011 — conf
A sparse bayesian approach to multistatic radar imaging.
ACSCC
Raghu G. Raj, Zachary Chance, David J. Love
2011 J jnl
Concatenated Coding for the AWGN Channel With Noisy Feedback.
IEEE Trans. Inf. Theory
Zachary Chance, David James Love
2011 J jnl
Using Channel Output Feedback to Increase Throughput in Hybrid-ARQ
CoRR
Mayur Agrawal, Zachary Chance, David James Love, Venkataramanan Balakrishnan
2010 Misc conf
A noisy feedback encoding scheme for the Gaussian channel.
ICASSP
Zachary Chance, David James Love
2009 J jnl
On Linear Processing for an AWGN Channel with Noisy Feedback
CoRR
Zachary Chance, David James Love
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski