See Google Scholar for a complete list of publications.

Journal papers

Zheyu Wu, Junjie Ma, Ya-feng Liu, and Swindlehurst Lee, Asymptotic SEP Analysis and Optimization of Linear-Quantized Precoding in Massive MIMO Systems, IEEE Trans Inform. Theory, to appear.

Junjie Ma, Ji Xu, and Arian Maleki, Towards Designing Optimal Sensing Matrices for Generalized Linear Inverse Problems, IEEE Trans Inform. Theory, to appear.

Lei Liu, Chulong Liang, Junjie Ma, and Li Ping, Capacity Optimality of AMP in Coded Systems,, IEEE Trans Inform. Theory, vol. 67, no. 7, pp. 4429-4445, July 2021.

Junjie Ma, Rishabh Dudeja, Ji Xu, Arian Maleki, Xiaodong Wang, Spectral Method for Phase Retrieval: an Expectation Propagation Perspective, , IEEE Trans Inform. Theory, vol. 67, no. 2, pp. 1332-1355, Feb. 2021. [Matlab codes]

Rishabh Dudeja, Junjie Ma, Arian Maleki, Information Theoretic Limits for Phase Retrieval with Subsampled Haar Sensing Matrices, IEEE Trans Inform. Theory, vol. 66, no. 12, pp. 8002-8045, Dec. 2020.

Rishabh Dudeja, Milad Bakhshizadeh, Junjie Ma, Arian Maleki, Analysis of Spectral Methods for Phase Retrieval with Random Orthogonal Matrices, IEEE Trans Inform. Theory, vol. 66, no. 8, pp. 5182-5203, Aug. 2020.

Shansuo Liang, Chulong Liu, Junjie Ma, and Li Ping, Compressed Coding, AMP Based Decoding and Analog Spatial Coupling, IEEE Trans. Commun. , vol. 68, no. 12, pp. 7362-7375, Dec. 2020.

Chen Hu, Xiaodong Wang, Linglong Dai, Junjie Ma, Partially Coherent Compressive Phase Retrieval for Millimeter-Wave Massive MIMO Channel Estimation, IEEE Trans. Signal Process, vol. 68, pp. 1673-1687, 2020.

Junjie Ma, Ji Xu and Arian Maleki, Optimization-based AMP for Phase Retrieval: The Impact of Initialization and \(\ell_2\)-regularization, IEEE Trans Inform. Theory, vol. 65, No. 6, June 2019. [Matlab codes]

Junjie Ma, Lei Liu, Xiaojun Yuan, and Li Ping, On Orthogonal AMP in Coded Linear Vector Systems, IEEE Trans. Wireless Commun., vol. 18, no. 12, pp. 5658-5672, Dec. 2019.

Zhipeng Xue, Xiaojun Yuan, Junjie Ma, and Yi Ma, TARM: A Turbo-type Algorithm for Affine Rank Minimization, IEEE Trans. Signal Process. vol. 67, no. 22, pp. 5730-5745, 15 Nov.15, 2019.

Junjie Ma and Li Ping, Orthogonal AMP, IEEE Access, vol. 5, pp. 2020-2033, 2017. (arXiv:1602.06509, Feb 21, 2016.) [Matlab codes]

Shansuo Liang, Junjie Ma, and Li Ping, Clipping Can Improve the Performance of Spatially Coupled Sparse Superposition Codes, IEEE Commun. Lett., vol. 21, no. 12, pp. 2578-2581, Dec. 2017.

Junjie Ma, Chulong Liang, Chongbin Xu, and Li Ping, On Orthogonal and Superimposed Pilot Schemes in Massive MIMO NOMA Systems, IEEE J. Select. Areas Commun., vol. 35, no. 12, pp. 2696-2707, Dec. 2017.

Chongbin Xu, Yang Hu, Chulong Liang, Junjie Ma and Li Ping, Massive MIMO, Non-Orthogonal Multiple Access and Interleave Division Multiple Access, IEEE Access, vol. 5, pp. 14728-14748, 2017.

Zhipeng Xue, Junjie Ma and Xiaojun Yuan, Denoising-based Turbo Compressed Sensing, IEEE Access. vol. 5, pp. 7193-7204, 2017.

Chulong Liang, Junjie Ma and Li Ping, Compressed FEC Codes with Spatial-Coupling, IEEE Commun. Lett., vol. 21, no. 5, pp. 987-990, May 2017.

Junjie Ma, Xiaojun Yuan, and Li Ping, On the Performance of Turbo Signal Recovery with Partial DFT sensing Matrices, IEEE Signal Processing Lett, vol. 22, no. 10, pp. 1580-1584, Oct. 2015.

Junjie Ma, Xiaojun Yuan, and Li Ping, Turbo Compressed Sensing with Partial DFT Sensing Matrix, IEEE Signal Processing Lett, vol. 22, no. 2, pp. 158-161, Feb. 2015. [Matlab codes]

Xiaojun Yuan, Junjie Ma, and Li Ping, Energy-spreading-transform for MIMO Systems: Iterative Equalization, Evolution Analysis, and Precoder Optimization, IEEE Trans. Wireless Commun., vol. 13, no. 9, pp. 5237-5250, Sept. 2014.

Junjie Ma, and Li Ping, Data-aided Channel Estimation in Large Antenna Systems, IEEE Trans. Signal Process., vol. 62, no. 12, pp. 3111-3124, Jun. 2014.

Selected conference papers

Junjie Ma, Ji Xu, and Arian Maleki, Analysis of Sensing Spectral for Signal Recovery under a Generalized Linear Model, 2021 Conference on Neural Information Processing Systems (Neurips), 2021.

Junjie Ma, Ji Xu, and Arian Maleki, Approximate Message Passing for Amplitude Based Optimization, International conference on machine learning (ICML), 2018.