Rui Zhou - 周睿

Rui Zhou - 周睿

Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong (Shenzhen)

Journal Papers

  1. R. Hou, J. Wang, R. Zhou, D. P. Palomar, X. Gao, B. Ottersten, “An Efficient and Unified Framework for MIMO Downlink Linear Precoding with QoS Constraints,” IEEE Trans. on Signal Processing, Early Access, 2025.
  2. Q. Peng, R. Zhou, J. Wang, X.-G. Xia, Z. Ding, “Optimal Power Allocation for Multi-Group Non-Orthogonal Multiple Access Systems,” IEEE Trans. on Communications, Early Access, 2025.
  3. L. Zhao, R. Zhou, M. -Y. You, W. Pu* “Can DOA Algorithms Be Deceived?,” IEEE Signal Processing Letters, vol. 32, pp. 2439-2443, 2025.
  4. R. Zhou, W. Pu*, M. -Y. You*, Q. Shi, “Harnessing Monotonic Neural Networks for Performance Prediction and Threshold Determination in Multichannel Detection,” IEEE Trans. on Signal Processing, vol. 73, pp. 2154-2169, 2025.
  5. L. Zhao, W. Pu*, R. Zhou, M.-Y. You, Q. Shi, “Contextual Direct Position Determination for Path Loss Informed Localization,” IEEE Signal Processing Letters, vol. 32, pp. 1241-1245, 2025.
  6. M.-Y. You, W. Pu*, R. Zhou, Y.-X. Ye, M. Xiao, W. Wang, Q. Shi, “Calibration Signal Assisted Emitter Localization Under Sensor Position Uncertainty,” IEEE Transactions on Aerospace and Electronic Systems, pp. 6913-6927, 2025.
  7. R. Zhou, W. Pu*, M. -Y. You*, Q. Shi, “A Robust Cooperative Sensing Approach for Incomplete and Contaminated Data,” IEEE Trans. on Signal Processing, vol. 72, pp. 3945-3957, 2024.
  8. R. Zhou, W. Pu*, L. Zhao, M. -Y. You, Q. Shi, S. Theodoridis, “A Matrix-Factorization-Error-Ratio Approach to Cooperative Sensing in Non-Ideal Communication Environment,” IEEE Trans. on Signal Processing, vol. 72, pp. 3851-3864, 2024.
  9. L. Zhao, W. Pu, R. Zhou*, Q. Shi, “A Third-Order Majorization Algorithm for Logistic Regression With Convergence Rate Guarantees,” IEEE Signal Processing Letters, vol. 31, pp. 1700-1704, 2024.
  10. L. Zhao*, R. Zhou, Q. Shi, “Optimization algorithms for transmit waveform design in radar-centric dual-function radar-communication systems,” Signal Processing, 2024.
  11. X. Wang, R. Zhou*, J. Ying*, D. P. Palomar, “Efficient and Scalable Parametric High-Order Portfolios Design via the Skew-$t$ Distribution,” IEEE Trans. on Signal Processing, vol. 71, pp. 3726-3740, Oct. 2023.
  12. R. Zhou, J. Ying*, D. P. Palomar, “Covariance Matrix Estimation Under Low-Rank Factor Model with Nonnegative Correlations,” IEEE Trans. on Signal Processing, vol. 70, pp. 4020-4030, Aug. 2022.
  13. R. Zhou*, D. P. Palomar, “Solving High-order Portfolios via Successive Convex Approximation Algorithms,” IEEE Trans. on Signal Processing, vol. 69, pp. 892-904, Feb. 2021.
  14. R. Zhou*, J. Liu, S. Kumar, D. P. Palomar, “Student’s $t$ VAR Modeling with Missing Data via Stochastic EM and Gibbs Sampling,” IEEE Trans. on Signal Processing, vol. 68, pp. 6198-6211, Oct. 2020.
  15. R. Zhou*, D. P. Palomar, “Understanding the Quintile Portfolio,” IEEE Trans. on Signal Processing, vol. 68, pp. 4030-4040, July 2020.
  16. Z. Zhao, R. Zhou, D. P. Palomar*, “Optimal Mean-Reverting Portfolio With Leverage Constraint for Statistical Arbitrage in Finance,” IEEE Trans. on Signal Processing, vol. 67, no. 7, pp. 1681-1695, April 1, 2019.

Conference Papers

  1. T. Pan, W. Pu, L. Zhao, and R. Zhou, “Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG Based Approach,” 2025 44th Chinese Control Conference (CCC), pp. 5476–5481.
  2. H. Luo, R. Zhou, W. Pu, Y.-F. Liu, and T.-H. Chang, “Efficient and Robust Cooperative Detection for Monotonically Incomplete Data,” 2025 44th Chinese Control Conference (CCC), pp. 3753–3756.
  3. N. Zhang, R. Zhou, Ming-Yi You, and W. Pu, “Adaptive Sampling for Online UAV-Aided Radio Map Sensing,” 2025 33nd European Signal Processing Conference (EUSIPCO), pp. 1-6.
  4. H. Guo, R. Zhou, W. Pu, M.-Y. You, and J. Yan, “Using Monotonic Neural Networks for Accurate and Efficient Passive Localization Performance Modeling,” 2025 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1-6.
  5. H. Dong, W. Pu, R. Zhou, X. Fu, and F. Yin, “Integrated Interpolation and Matrix Completion for Radio Map Estimation: A Convex Optimization Approach,” 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1-5.
  6. Z. Zhang, W. Pu, R. Zhou, M. You, W. Wang, and J. Yan, “Efficient Position Determination Using Low-Rank Matrix Completion,” 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), pp. 1-5.
  7. H. Tang, L. Yang, R. Zhou, J. Liang, H. Wei, X. Wang, Q. Shi, and Z.-Q. Luo, “Assessing Air-Interface Dataset Similarity and Diversity for AI-Enabled Wireless Communications,” 2024 IEEE International Conference on Communications (ICC).
  8. R. Zhou, W. Pu, L. Zhao, M.-Y. You, Q. Shi, and S. Theodoridis, “Cooperative Sensing via Matrix Factorization of the Partially Received Sample Covariance Matrix,” 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
  9. J. Guan, R. Zhou, W. Pu, Q. Shi, and T.-H. Chang, “A Robust GLRT Detector against Missing Data in Cooperative Sensing,” 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
  10. W. Pu, J. Zhang, R. Zhou, X. Fu, and M. Hong, “A Smoothed Bregman Proximal Gradient Algorithm for Decentralized Nonconvex Optimization,” 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
  11. J. Liu, H. Liu, W. Pu, R. Zhou, M.-Y. You, and Q. Shi, “Weak Signal Detection based on Beta Divergence,” IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Shanghai, China, 2023, pp. 461-465.
  12. J. Ying, H. Xi, R. Zhou, X. Wang, and H.-C. So, “Network topology inference with sparsity and Laplacian constraints,” 2023 IEEE 11th International Conference on Information, Communication and Networks (ICICN), Xi’an, China, 2023, pp. 283-288.
  13. R. Zhou, J. Liu, S. Kumar, and D. P. Palomar, “Parameter Estimation for Student’s $t$ VAR Model with Missing Data,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, ON, Canada, 2021, pp. 5145-5149.
  14. R. Zhou, J. Liu, S. Kumar, and D. P. Palomar, “Robust Factor Analysis Parameter Estimation,” Computer Aided Systems Theory – Lecture Notes in Computer Science, 2020.
  15. R. Zhou and D. P. Palomar, “A Theoretical Basis for Practitioners Heuristic 1/N and Long-Only Quintile Portfolio,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020, pp. 8434-8438.
  16. R. Zhou and D. P. Palomar, “Accelerating the Multivariate Skew $t$ Parameter Estimation,” IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Le Gosier, Guadeloupe, 2019, pp. 251-255.
  17. Z. Zhao, R. Zhou, Z. Wang, and D. P. Palomar, “Optimal Portfolio Design for Statistical Arbitrage in Finance,” IEEE Statistical Signal Processing Workshop (SSP), Freiburg im Breisgau, Germany, 2018, pp. 801-805.