Xinjue Wang

xjw [at] ieee.org  |  wang.xnj [at] gmail.com

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Hello! I am a postdoctoral researcher at Aalto University, Espoo, Finland.

I obtained my Ph.D. in Electrical Engineering in 2026 at Aalto University, advised by Professors Esa Ollila and Sergiy A. Vorobyov. I received my Master degree in Acoustics from Aalto University in 2022. Prior to that, I received my Bachelor degree in Information Engineering in 2020 at Northwestern Polytechnical University, Xi'an, China.

My research lies at the intersection of signal processing, optimization, and machine learning, with a focus on robust inference and structured models.

Publications

Journal Papers

  1. Generalized Nonnegative Structured Kruskal Tensor Regression (arXiv) (code)

    X. Wang, E. Ollila, S.A. Vorobyov and A. Mian. Signal Processing, vol. 240, 110338, Mar. 2026.

  2. Robust Activity Detection For Massive Random Access (arXiv) (code)

    X. Wang, E. Ollila, and S.A. Vorobyov. IEEE Transactions on Signal Processing, vol. 73, pp. 3513–3527, Aug. 2025.

  3. Tracking The Occluded Indoor Target With Scattered Millimeter Wave Signal

    Y. Xu, X. Wang, J. Kupiainen, J. Sae, J. Boutellier, J. Nurmi and B. Tan. IEEE Sensors Journal, vol. 24, no. 22, pp. 38102–38112, Nov. 2024.

  4. Graph Convolutional Neural Networks Sensitivity Under Probabilistic Error Model (arXiv)

    X. Wang, E. Ollila, and S.A. Vorobyov. IEEE Transactions on Signal and Information Processing over Networks, vol. 10, pp. 788–803, Oct. 2024.

Conference Papers

  1. Anisotropic Tensor Deconvolution Of Hyperspectral Images (arXiv) (code)

    X. Wang, X. Wang, E. Ollila, and S.A. Vorobyov. ICASSP 2026, Barcelona, Spain, May 2026, pp.1-5, accepted.

  2. Robust Activity Detection For Massive Access Using Covariance-Based Matching Pursuit

    X. Wang, E. Ollila, and S.A. Vorobyov. ICASSP 2025, Hyderabad, India, Apr. 2025, pp. 1–5.

  3. Nonnegative Sparse Kruskal Tensor Regression

    X. Wang, E. Ollila, and S.A. Vorobyov. CAMSAP 2023 (invited paper), Herradura, Costa Rica, Dec. 2023, pp. 441–445.

  4. Correlation-Based Graph Smoothness Measures In Graph Signal Processing

    J. Miettinen, S.A. Vorobyov, E. Ollila and X. Wang. EUSIPCO 2023, Helsinki, Finland, Sept. 2023, pp. 1848–1852.

  5. Graph Neural Network Sensitivity Under Probabilistic Error Model

    X. Wang, E. Ollila, and S.A. Vorobyov. EUSIPCO 2022, Belgrade, Serbia, Aug. 2022, pp. 2146–2150.

  6. Distributed Principal Component Analysis Based On Randomized Low-Rank Approximation

    X. Wang and J. Chen. ICSPCC 2020, Macau, China, Aug. 2020, pp. 1–5.

Academic Service

Journal referee: IEEE Trans. Inf. Theory, IEEE Trans. Wireless Commun., IEEE Trans. Mach. Learn. Commun. Netw., Scand. J. Stat.

Conference reviewer: ICASSP 2025, 2026, IJCNN 2025, ITW 2024

Education