Shi-Yuan Wang

Accepted
  1. S.-Y. Wang, M.-C. Chang, and M. R. Bloch, “Covert Joint Communication and Sensing Under Variational Distance Constraint.” accepted to 58th Annual Conference on Information Sciences and Systems, Jan. 2024.
Articles
  1. M.-C. Chang, S.-Y. Wang, T. Erdoğan, and M. R. Bloch, “Rate and Detection-Error Exponent Tradeoff for Joint Communication and Sensing of Fixed Channel States,” IEEE Journal on Selected Areas in Information Theory, vol. 4, pp. 245–259, May 2023.
  2. S.-Y. Wang and M. R. Bloch, “Covert MIMO Communications under Variational Distance Constraint,” IEEE Transactions on Information Forensics and Security, vol. 16, pp. 4605–4620, Sep. 2021.
Conference proceedings
  1. M.-C. Chang, S.-Y. Wang, and M. R. Bloch, “Sequential Joint Communication and Sensing of Fixed Channel States,” in Proc. of IEEE Information Theory Workshop, Saint-Malo, France, Apr. 2023, pp. 462–467.
  2. M.-C. Chang, S.-Y. Wang, and M. R. Bloch, “Controlled Sensing with Corrupted Commands,” in Proc. of 58th Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, Sep. 2022.
  3. S.-Y. Wang, T. Erdoğan, U. Pereg, and M. R. Bloch, “Joint Quantum Communication and Sensing,” in Proc. of IEEE Information Theory Workshop, Aug. 2022, pp. 506–511.
  4. S.-Y. Wang, T. Erdoğan, and M. R. Bloch, “Towards a Characterization of the Covert Capacity of Bosonic Channels under Trace Distance,” in Proc. of IEEE International Symposium on Information Theory, Helsinki, Finland, Jun. 2022, pp. 354–359.
  5. M.-C. Chang, T. Erdoğan, S.-Y. Wang, and M. R. Bloch, “Rate and Detection Error-Exponent Tradeoffs of Joint Communication and Sensing,” in Proc. of IEEE International Symposium on Joint Communications & Sensing, Vienna, Austria, Mar. 2022, pp. 1–6.
  6. S.-Y. Wang and M. R. Bloch, “Explicit Design of Provably Covert Channel Codes,” in Proc. of IEEE International Symposium on Information Theory, Jul. 2021, pp. 190–195.
  7. S.-Y. Wang and M. R. Bloch, “Covert MIMO Communications under Variational Distance Constraint,” in Proc. of IEEE International Symposium on Information Theory, Los Angeles, CA, Jun. 2020, pp. 828–833.