I-Hsiang Wang

I-Hsiang Wang

Professor
Department of Electrical Engineering
Graduate Institute of Communication Engineering
National Taiwan University

Contact
MD-524, Department of Electrical Engineering
National Taiwan University, Taipei 106, Taiwan
ihwang AT ntu DOT edu DOT tw

Spring 2025 (February 2025 – June 2025)

Course

Probability and Statistics

Lecture

Thursday

14:20 – 17:20 @MD-231

Office Hours

Monday

15:20 – 16:20 @MD-524

Wednesday

13:00 – 14:00 @MD-524

Research Interests

Core

information theory, theoretical statistics, networked information processing

Applied to

Internet of Things, social networks, data privacy, machine learning

I am actively recruiting student researchers and research assistants at all levels in the areas of my research interests above, including undergraduate, master, PhD, and postdoc.

About Me

I am currently a professor in the Graduate Institute of Communication Engineering and the Department of Electrical Engineering at National Taiwan University, Taiwan. I received my Ph.D. in Electrical Engineering and Computer Sciences from University of California at Berkeley, USA, advised by Professor David Tse. I was affiliated with Wireless Foundations from 2007 to 2011. From 2011 to 2013, I was a postdoctoral research associate in the School of Computer and Communication Sciences (IC) at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. From 2013 to 2018 and from 2018 to 2022, I was an assistant professor and an associate professor in the current institute, respectively.

What's new

[2024.08]
Win the 2023 National Taiwan University Excellent Teaching Award 教學優良獎 (top 10%).
[2024.07]
New papers at ISIT 2024:
- C.-F. Li and I.-H. Wang, "A Unified Study on Sequentiality in Universal Classification with Empirically Observed Statistics."
- C.-Y. Hsu and I.-H. Wang, "On the Optimal Tradeoffs among Error Exponents in Active Sequential Multiple Hypothesis Testing."
[2023.09]
Win the 2022 National Taiwan University Excellent Teaching Award 教學優良獎 (top 10%).
[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."
[2022.10]
I am promoted to Professor, starting in August, 2022.
[2022.09]
Win the 2021 National Taiwan University EMI Excellent Teaching Award 全英語授課教學優良獎 (top 5%).
[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]