Sisi Miao, M.Sc.

Sisi Miao, M.Sc.

Research Topics

  • Channel coding and information theory
  • Quantum error correcting codes
  • Machine learning for communications

Teaching

  • Tutorial Machine Learning and Optimization in Communications (since SS 2021)

Current Theses

Theses

Open Theses

Title Supervisor Type

There are currently no open theses.

Theses In Progress

Title Supervisor Type
Construction of Finite Length Quantum Error Correcting Codes (DE) Sisi Miao MA
Improving Neural Belief Propagation (NBP) decoder for QLDPC codes (DE) Sisi Miao MA
Optimization of Gallager B Decoder Over Binary Symmetric Channels (DE) Sisi Miao BA

Full List of Publications

Journal papers

  1. S. Miao, C. Kestel, L. Johannsen, M. Geiselhart, L. Schmalen, A. Balatsoukas-Stimming, G. Liva, N. Wehn and S. ten Brink, "Trends in channel coding for 6G," Proc. IEEE, vol. 112, no. 7, pp. 653-675, Jul. 2024
    [ Cite ]  [ Available here ]  
  2. A. von Bank, E.-M. Edelmann, S. Miao, J. Mandelbaum and L. Schmalen, "Spiking neural belief propagation decoder for short block length LDPC codes," IEEE Commun. Lett., 2024, https://arxiv.org/abs/2410.11543
    [ Cite ]  [ Code ]
  3. S. Miao, L. Rapp and L. Schmalen, "Improved soft-aided decoding of product codes with dynamic reliability scores," J. Lightw. Technol., vol. 40, no. 22, pp. 7279-7288, Nov. 2022, https://arxiv.org/abs/2204.00466
    [ Cite ]  [ Available here ]  

Conference papers

  1. L. Rapp, S. Miao and L. Schmalen, "Optimized soft-aided decoding of OFEC and staircase codes," Proc. Eur. Conf. Opt. Commun. (ECOC), pp. Tu1F.3, Frankfurt, Germany, Sep. 2024, https://arxiv.org/abs/2404.19532
    [ Cite ]  [ Presentation ]  
  2. J. Mandelbaum, S. Miao, H. Jäkel and L. Schmalen, "Endomorphisms of linear block codes," Proc. IEEE Int. Symp. Inform. Theory (ISIT), Athens, Greece, Jul. 2024, https://arxiv.org/abs/2402.00562
    [ Cite ]  [ Presentation ]  
  3. S. Miao, J. Mandelbaum, H. Jäkel and L. Schmalen, "A joint code and belief propagation decoder design for quantum LDPC codes," Proc. IEEE Int. Symp. Inform. Theory (ISIT), Athens, Greece, Jul. 2024, https://arxiv.org/abs/2401.06874
    [ Cite ]  [ Presentation ]  
  4. S. Miao, J. Mandelbaum, L. Rapp, H. Jäkel and L. Schmalen, "Performance analysis of generalized product codes with irregular degree distribution," Proc. IEEE Int. Symp. Inform. Theory (ISIT), Athens, Greece, Jul. 2024, https://arxiv.org/abs/2401.16977
    [ Cite ]  [ Presentation ]  
  5. J. Mandelbaum, S. Miao, N. A. Schwendemann, H. Jäkel and L. Schmalen, "Improved generalized automorphism belief propagation decoding," Proc. International Symposium on Wireless Communication Systems (ISWCS), Rio de Janeiro, Brazil, Jul. 2024, https://arxiv.org/abs/2406.02012
    [ Cite ]  [ Presentation ]  
  6. S. Miao, A. Schnerring, H. Li and L. Schmalen, "Neural belief propagation decoding of quantum LDPC codes using overcomplete check matrices," Proc. IEEE Inform. Theory Workshop (ITW), Saint-Malo, France, Apr. 2023, https://arxiv.org/abs/2212.10245
    [ Cite ]  [ Presentation ]  [ Code ]
  7. S. Miao, L. Rapp and L. Schmalen, "Improved soft-aided decoding of product codes with adaptive performance-complexity trade-off," Proc. Eur. Conf. Opt. Commun. (ECOC), Basel, CH, Sep. 2022, https://arxiv.org/abs/2207.04815
    [ Cite ]  [ Presentation ]  
  8. S. Miao, L. Rapp and L. Schmalen, "Error-and-erasure decoding of product and staircase codes with simplified extrinsic message passing," Proc. IEEE Int. Symp. Inform. Theory (ISIT), Espoo, Finland, Jun. 2022, preprint available at https://arxiv.org/abs/2201.08322
    [ Cite ]  [ Presentation ]  
  9. S. Miao, L. Rapp and L. Schmalen, "Improved soft-aided error-and-erasure decoding of product codes with dynamic reliability scores," Proc. Opt. Fiber Commun. Conf. (OFC), San Diego, CA, USA, Mar. 2022, preprint available at https://arxiv.org/pdf/2112.05433.pdf
    [ Cite ]  [ Presentation ]  
  10. S. Miao and C. Senger, "Dual-containing alternant codes for applications in the Calderbank–Shor–Steane construction," Proc. IEEE Int. Symp. Inform. Theory (ISIT), Melbourne, Australia, Jul. 2021
    [ Cite ]