Research

Brief Summary

Finite-Length Quantum Information Theory and Coding

  • especially on the design of the optimal quantum stabilizer codes in terms of the minimum decoding error criterion over the forward-looking quantum channels.
  • Statistical Machine Learning

  • especially on the design of security- and privacy-preserving techniques for training (distributed) machine learning algorithms on datasets containing confidential information.
  • Information-Theoretic Privacy and Physical Layer Security

  • especially on the performance analysis of lattice coding and the construction of lattice codes with good secrecy gain or flatness factor for the Gaussian wiretap channel.

  • especially on the construction of private information retrieval (PIR) codes with low storage overhead, and the design of efficient PIR and private computation (PC) protocols regarding the total communication cost for coded distributed storage systems.

  • especially on the design and applications of efficient cryptographic schemes and primitives from an information-theoretic perspective.
  • Finite-Length Information Theory

  • especially on the development of the optimal finite block-codes for the memoryless channels in classical communications, and the performance analysis for finite blocklength regime.
  • Scheduling in Millimeter-Wave (mmWave) Cellular Networks

  • especially on the design of efficient routing and scheduling algorithms for the emerging millimeter-wave communication technology in fifth-generation (5G) wireless communication systems.
  • Inference Security and Target Localization in Wireless Sensor Networks

  • especially on inference security, the robustness of distributed inference against Byzantine attacks, target localization, and the performance analysis of the distributed sensor networks.
  • My primary interest is to conduct fundamental research in the field of information theory, coding theory, and lattices. For a complete list of my publications, please check out my publications.