Junan Zhu

Zhu, J., & Baron, D. (2018). Performance Limits With Additive Error Metrics in Noisy Multimeasurement Vector Problems. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 66(20), 5338–5348. https://doi.org/10.1109/TSP.2018.2866844

Zhu, J., Baron, D., & Krzakala, F. (2017). Performance Limits for Noisy Multimeasurement Vector Problems. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 65(9), 2444–2454. https://doi.org/10.1109/tsp.2016.2646663

Han, P. X., Zhu, J. N., Niu, R. X., & Baron, D. (2016). Multi-processor approximate message passing using lossy compression. International conference on acoustics speech and signal processing, 6240–6244. https://doi.org/10.1109/icassp.2016.7472877

Zhu, J., Beirami, A., & Baron, D. (2016). Performance trade-offs in multi-processor approximate message passing. 2016 ieee international symposium on information theory, 680–684. https://doi.org/10.1109/isit.2016.7541385

Zhu, J., Baron, D., & Duarte, M. F. (2015). Recovery From Linear Measurements With Complexity-Matching Universal Signal Estimation. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 63(6), 1512–1527. https://doi.org/10.1109/tsp.2015.2393845

Zhu, J. N., Baron, D., & Duarte, M. F. (2014). Complexity-adaptive universal signal estimation for compressed sensing. 2014 IEEE Workshop on Statistical Signal Processing (SSP), 388–391. https://doi.org/10.1109/ssp.2014.6884657

Zhu, J. A., & Baron, D. (2013). Performance regions in compressed sensing from noisy measurements. 2013 47th Annual Conference on Information Sciences and Systems (CISS). https://doi.org/10.1109/ciss.2013.6552256