YIN Ho Fai, Hoover

*SHB = Ho Sin Hang Engineering Building, The Chinese University of Hong Kong

Research Interest
  • Network Coding
  • Source Coding
Courses Taught

  • ENGG1110 Problem Solving by Programming
  • ENGG1120 Linear Algebra for Engineers
  • IERG2080 Introduction to Systems Programming
  • IERG3050 Simulation and Statistical Analysis
  • IERG3080 Information & Software Engineering Practice

YIN Ho Fai, Hoover 殷浩輝博士

Lecturer
MIEEE
BSc, BEng, PhD (CUHK)
(852) 3943-8355
Room 734, SHB*
hfyin [at] ie.cuhk.edu.hk

Dr. Yin received his B.Sc. degree in Mathematics (Information Science stream), B.Eng. degree in Information Engineering (Telecommunications stream and Information Processing stream) and Ph.D. degree in Information Engineering from The Chinese University of Hong Kong in 2013, 2014 and 2019 respectively. He was a postdoctoral fellow at the Institute of Network Coding, The Chinese University of Hong Kong. He joined the Department of Information Engineering, The Chinese University of Hong Kong in August 2022. Dr. Yin’s main research interest lies in the field of batched network coding. Besides that, he is also interested in computer and network systems, combinatorics and coding theory.

Recent / Selected Publications
  • H. H. F. Yin, H. W. H. Wong, M. Tahernia, and R. W. F. Lai, “Multichannel Optimal Tree-Decodable Codes are Not Always Optimal Prefix Codes,” 2022 IEEE International Symposium on Information Theory (ISIT), Espoo, Finland, Jun. 2022, pp. 43–48.
  • H. H. F. Yin, H. W. H. Wong, M. Tahernia, and J. Qing, “Packet Size Optimization for Batched Network Coding,” 2022 IEEE International Symposium on Information Theory (ISIT), Espoo, Finland, Jun. 2022, pp. 1638–1643.
  • J. Qing, H. H. F. Yin, and R. W. Yeung, “Enhancing the Decoding Rates of BATS Codes by Learning With Guided Information,” 2022 IEEE International Symposium on Information Theory (ISIT), Espoo, Finland, Jun. 2022, pp. 13–18.
  • H. H. F. Yin, B. Tang, K. H. Ng, S. Yang, X. Wang, and Q. Zhou, “A Unified Adaptive Recoding Framework for Batched Network Coding,” IEEE Journal on Selected Areas in Information Theory (JSAIT), vol. 2, no. 4, Dec. 2021, pp. 1150–1164.
  • H. H. F. Yin, K. H. Ng, A. Z. Zhong, R. W. Yeung, S. Yang, and I. Y. Y. Chan, “Intrablock Interleaving for Batched Network Coding with Blockwise Adaptive Recoding,” IEEE Journal on Selected Areas in Information Theory (JSAIT), vol. 2, no. 4, Dec. 2021, pp. 1135–1149.
  • Y. Dong, S. Jin, Y. Chen, S. Yang, and H. H. F. Yin, “Utility Maximization for Multihop Wireless Networks Employing BATS Codes,” IEEE Journal on Selected Areas in Information Theory (JSAIT), vol. 2, no. 4, Dec. 2021, pp. 1120–1134.
  • H. H. F. Yin, X. Xu, K. H. Ng, Y. L. Guan, and R. W. Yeung, “Analysis of Innovative Rank of Batched Network Codes for Wireless Relay Networks,” 2021 IEEE Information Theory Workshop (ITW), Kanazawa, Japan, Oct. 2021.
  • V. Ronge, C. Egger, R. W. F. Lai, D. Schröder, and H. H. F. Yin, “Foundations of Ring Sampling,” Proceedings on Privacy Enhancing Technologies (PoPETS), vol. 3, Jul. 2021, pp. 265–288.
  • H. H. F. Yin, K. H. Ng, Y. T. Shing, R. W. F. Lai, and X. Wang, “Decision Procedure for the Existence of Two-Channel Prefix-Free Codes,” 2019 IEEE International Symposium on Information Theory (ISIT), Paris, France, Jul. 2019, pp. 1522–1526.
Research Interest

  • Network Coding
  • Source Coding
Courses Taught

  • ENGG1110 Problem Solving by Programming
  • ENGG1120 Linear Algebra for Engineers
  • IERG2080 Introduction to Systems Programming
  • IERG3050 Simulation and Statistical Analysis
  • IERG3080 Information & Software Engineering Practice