Welcome to the Networked Information and Communications Lab at National Taiwan University led by I-Hsiang Wang, belonging to the Department of Electrical Engineering and the Graduate Institute of Communication Engineering.

Our group is focused on fundamental research on networked information and data, including communications, computation, data analysis, and machine learning. Areas of our major interest are information theory, learning theory, and high dimensional statistics.

In particular, we are interested in the following subjects:

• Learning from graphical and networked data
• Distributed/decentralized information processing
• Real-time/sequential decision making
• Information theoretic privacy and security
• Streaming

News

• [2023.11]
  Yun-Mei wins the 2023 CIEE Best Master’s Thesis Award, First Place (中國電機工程學會青年論文獎第一名).
• [2023.07]
  New papers at ISIT 2023:
  • Y.-M. Liao and I.-H. Wang, "On the Benefit of Single-User Feedback for Secret Communication over Broadcast Erasure Channels."
  • P.-W. Su, Y.-C. Huang, S.-C. Lin, I.-H. Wang, and C.-C. Wang, "Detailed Asymptotics of the Delay-Reliability Tradeoff of Random Linear Streaming Codes."
• [2022.10]
  A new paper at ITW 2022:
  • C.-Y. Hsu, C.-F. Li, and I.-H. Wang, "On Universal Sequential Classification from Sequentially Observed Empirical Statistics."
• [2022.06]
  Yu-Chieh wins the 2021 IEEE Taipei Section Best Master’s Thesis Award.
• [2022.05]
  New papers at ISIT 2022:
  • C.-Y. Hou and I.-H. Wang, "Fundamental Limits of Personalized Federated Linear Regression with Data Heterogeneity."
  • P.-W. Su, Y.-C. Huang, S.-C. Lin, I.-H. Wang, and C.-C. Wang, "Sequentially Mixing Randomly Arriving Packets Improves Channel Dispersion Over Block-Based Designs."
• [Archived News]