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Publications

Book chapters

1. H. He, H. Ye, S. Jin, and G. Y. Li, “Machine Learning based Channel Estimation and Signal Detection” in Machine Learning and Wireless Communications, Cambridge University Press, 2022.

Journals

1. H. He, S. Jin, C.-K. Wen, F. Gao, G. Y. Li, and Z. Xu, “Model-driven deep learning for physical layer communications”, IEEE Wireless Communications, vol. 26, no. 5, pp. 77-83, Oct. 2019. (IEEE ComSoc Best Readings, ESI Highly Cited Paper)

2. H. He, C.-K. Wen, S. Jin, and G. Y. Li, “Model-driven deep learning for MIMO detection,” IEEE Trans. Signal Process., vol. 68, pp. 1702-1715, Mar. 2020. (IEEE ComSoc Best Readings, ESI Highly Cited Paper)

3. H. He, C.-K. Wen, and S. Jin, “Bayesian optimal data detector for hybrid mmWave MIMO-OFDM systems with low-resolution ADCs,” IEEE J. Sel. Topics Signal Processing., vol. 12, no. 3, pp. 469-483, June 2018.

4. H. He, C.-K. Wen, S. Jin, and G. Y. Li, “Deep learning-based channel estimation for beamspace mmWave massive MIMO systems,” IEEE Wireless Commun. Lett., vol. 7, no. 5, pp. 852-855, Oct. 2018. (IEEE ComSoc Best Readings, ESI Highly Cited Paper)

5. H. He, M. Zhang, S. Jin, C.-K. Wen, and G. Y. Li, “Model-driven deep learning for massive MUMIMO with finite-alphabet precoding,” IEEE Commun. Lett., vol. 24, no. 10, pp. 2216-2220, Oct. 2020.

6. H. He, R. Wang, S. Jin, C.-K. Wen, and G. Y. Li, “Beamspace channel estimation in mmWave communications: A model-driven unsupervised learning approach,” IEEE Trans. Wireless Commun., early access, doi: 10.1109/TWC.2022.3206773.

7. H. He, X. Yu, J. Zhang, S.H. Song, and Khaled B. Letaief, “Cell-Free Massive MIMO Detection: A Distributed Expectation Propagation Approach,” submitted to IEEE Trans. Wireless Commun., Nov. 2021.

8. H. He, X. Yu, J. Zhang, S.H. Song, and K. B. Letaief, ‘‘Message passing meets graph neural networks: A new paradigm for massive MIMO systems,’’ submitted to IEEE Trans. Wireless Commun., Feb. 2023.

9. H. He, X. Yu, J. Zhang, S.H. Song, and K. B. Letaief, “Cell-free massive MIMO for 6G wireless communication networks,” J. Commun. Inf. Netw., vol. 6, no. 4, pp. 321-335, Dec. 2021. (Invited Paper)

9. W. Yu, Y. Shen, H. He, X. Yu, S.H. Song, J. Zhang, and K. B. Letaief, ‘‘An adaptive and robust deep learning framework for THz ultra-massive MIMO channel estimation,’’, submitted to IEEE J. Sel. Topics Signal Processing., Nov. 2022.

11. Y. He, H. He, C.-K. Wen, and S. Jin, “Model-driven deep learning for massive multiuser MIMO constant envelope precoding,” IEEE Wireless Commun. Lett., vol. 9, no. 11, pp. 1835-1839, Nov. 2020.

Conferences

1. H. He, C.-K.Wen, and S. Jin, “Generalized expectation consistent signal recovery for nonlinear measurements,” in Proc. IEEE Int. Symp. Inf. Theory (ISIT), Jun. 2017, pp. 2333-2337.

2. H. He, C.-K. Wen, S. Jin, and G. Y. Li, “A model-driven deep learning network for MIMO detection,” in Proc. IEEE Glob. Conf. Signal Inf. Process., Anaheim, CA, Nov. 2018, pp. 584-588.

3. H. He, H.Wang, X. Yu, J. Zhang, S.H. Song, K. B. Letaief, “Distributed expectation propagation detection for cell-free massive MIMO,” Proc. IEEE Global Commun. Conf. (GLOBECOM), Madrid, Spain, 2021.

4. H. He, X. Yu, J. Zhang, S.H. Song, K. B. Letaief, “Graph neural network enhanced approximate message passing for MIMO detection,” Proc. IEEE Wireless Commun. and Netw. Conf.(WCNC), Glasgow, Scotland, UK, March. 2023.

5. R.Wang, H. He, S. Jin, X.Wang, and X. Hou, “Channel estimation for millimeter wave massive MIMO systems with low-resolution ADCs,” in Proc.IEEE Int. Workshop Signal Process. Adv. Wireless Commun.(SPAWC), Cannes, France, 2019.

6. J. Zhang, H. He, C.-K.Wen, S. Jin, and G. Y. Li,“Deep learning based on orthogonal approximate message passing for CP-free OFDM,” in Proc. IEEE Int. Conf. Acoust., Speech Signal Process. (ICASSP), Brighton, U.K., May. 2019, pp. 1-6.

7. J. Zhang, H. He, X. Yang, C.-K. Wen, S. Jin, and X. Ma, “Model-driven deep learning based Turbo-MIMO receiver,” in Proc. IEEE Int. Workshop Signal Process. Adv. Wireless Commun.(SPAWC), 2020.

8. W. Jin, H. He, C.-K. Wen, S. Jin, and G. Y. Li, “Adaptive channel estimation based on model-driven deep learning for wideband mmWave Systems,” in Proc. IEEE Global Commun. Conf. (GLOBECOM), Madrid, Spain, Dec. 2021.

9. W. Yu, Y. Shen, H. He, X. Yu, J. Zhang, and Khaled B. Letaief, “Hybrid Far- and Near-Field Channel Estimation for THz Ultra-Massive MIMO via Fixed Point Networks,” Proc. IEEE Global Commun. Conf. (GLOBECOM)., Rio de Janeiro, Brazil, 2022.

10. R. Cao, H. He, X. Yu, J. Zhang, S.H. Song, and K. B. Letaief, ‘‘Belief Propagation for Near-Field Cooperative Localization and Tracking in 6G Vehicular Networks,’’ Proc. IEEE Int. Mediterranean Conf. Commun. and Networking (MeditCom), 2022.

11. W. Yu, H. He, X. Yu, S.H. Song, J. Zhang, and K. B. Letaief, ‘‘Blind performance prediction for deep learning based ultra-massive MIMO channel estimation’’, Proc.IEEE Int. Conf. Commun. (ICC), 2022.