Chun-Hung Liu, Ph.D.
Associate Professor
Dept. of Electrical and Computer Engineering
Mississippi State University
Mississippi State, MS 39762, USA
e-mail: chliu at ece dot msstate dot edu
Phone (O): (662) 325-2063

Brief Biography
Dr. Liu is an Associate Professor in the Department of Electrical and Computer Engineering at Mississippi State University (MSU). Prior to joining MSU, he was with University of Michigan and National (Yang Ming) Chiao Tung University, Hsinchu Taiwan. He received a B.S. degree from National Taiwan University, an M.S. degree from Massachusetts Institute of Technology, and a Ph.D. degree in Electrical and Computer Engineering from the University of Texas at Austin. He received several prestigious awards in research and education, such as Faculty Research Award from Air Force Research Lab. (AFRL) in 2023, Outstanding Advisor Award from the Taiwan Institute of Electrical and Electronic Engineering in 2016, Young Scholar Research Award from the Ministry of Science and Technology of Taiwan in 2015, Best Paper Awards from IEEE Globecom Conference in 2014 and 2008, etc. He is a senior member of IEEE.
Research Interests
  • Machine Learning Theory and Its Applications
  • Data Science: Analysis and Learning of High-Dimensional Noisy Data
  • (Large-Scale) Optimization, Control, and Reinforcement Learning
  • (Wireless) Communication, Networking, and Signal Processing
  • Quantum Commputing and Communication
Recent News
  • 9/2023: There will be a couple of Ph.D. research openings in my group starting from Spring 2024. Interested students who have good background in machine learning, networking, probability, and statistics feel free to send your resume to me. I will reply to you if you are a good fit for the openings.
Research Topics
  • Topic I: Learning over Ultra-Dense Wireless Networks with Repulsion (funded by NSF)
  • Topic II: Analysis and Adversarial Learning of High-Dimensional Noisy Data (funded by NSF)
  • Topic III: Adaptable Spectrum Sensing and Learning for UAV-enabled Wireless Networks with Intelligent Reconfigurable Surfaces (funded by AFRL)
  • Topic IV: Federated Learning for Cybersecurity in Wireless CPSs (funded by AFRL/DHS)
The detailed information of the above topics can be found here.
Selected Publications

Recent Book Chapter

  • Deep Learning and Federated Learning Toward 6G Mobile Communications in the new book entitled "Flexible and Cognitive Radio Access Technologies for 5G and Beyond", the Institution of Engineering and Technology, Oct. 2021. (ISBN-10: 1839530790)

Selected Journal Articles

Data Analysis, Learning, and Optimization

Selected Conference Papers

  1. C.-H. Liu and M. Gamarra, "Optimal Client Sampling for Wireless Federated Learning With Random Client Participation", submitted to IEEE International Conf. on Commun. (ICC), 2024.
  2. C.-H. Liu, K.-T. Feng, and J.-Y. Wu, "Resilient and Adaptable Security for STAR-RIS-Enabled NOMA Networks", submitted to IEEE International Conf. on Commun. (ICC), 2024.
  3. C.-H. Liu, N. Thawdar, and J.-Y. Wu, "On the Performance Limits of RIS-Assisted Massive MIMO Systems", submitted to IEEE International Conf. on Commun. (ICC), 2024.
  4. R.-H. Gau, D.-C. Liang, and C.-H. Liu, "Edge-to-cloud Latency Aware User Association in Heterogeneous Hierarchical Federated Learning", submitted to IEEE Wireless Commun. & Net. Conf. (WCNC), 2024.
  5. F. Freitag, L. Wei, C.-H. Liu, Me. Selimi, and L. Veiga, "Server-side Adaptive Federated Learning over Wireless Mesh Network", in Proc. of Int. Conf. on Information Technology & Systems, 2023.
  6. P.-C. Hsu, L.-H. Shen, C.-H. Liu, and K.-T. Feng, "Federated Deep Reinforcement Learning for THz-Beam Search with Limited CSI", in Proc. of IEEE Vehicular Technology Conference (VTC), Fall 2022.
  7. C.-H. Liu, D.-C. Liang, R-H. Gau, and L. Wei, "Modeling and Analysis of Intermittent Federated Learning Over Cellular-Connected UAV Networks", In Proc. of IEEE Vehicular Technology Conference (VTC), Spring 2022.
  8. S. A. Jawdeh, S. Choi, and C.-H. Liu, "Model-Based Deep Learning for Cyber-Attack Detection in Electric Drive Systems", in Proc. of IEEE Applied Power Electronics Conf. (APEC), 2022.
  9. C.-H. Liu, K.-T. Feng, L. Wei, and Y. Luo, "Spatio-Temporal Federated Learning for Massive Wireless Edge Networks", In Proc. of IEEE Int. Conf. on Commun. (ICC), 2022.
  10. C.-H. Liu, M. D. Syed, and L. Wei, "Toward Ubiquitous and Flexible Coverage of UAV-IRS-Assisted NOMA Networks", In Proc. of IEEE Wireless Commun. and Net. Conf. (WCNC), 2022.
  11. F. Freitag, P. Vilchez, L. Wei, C.-H. Liu, M. Selimi, and I. Koutsopoulos, "Demo: An Experimental Environment Based OnMini-PCs For Federated Learning Research", in Proc. of IEEE 19th Annual Consumer Commun. & Net. Conf. (CCNC), 2022.
  12. F. Freitag, P. Vilchez, L. Wei, C.-H. Liu, and M. Selimi, "Performance Evaluation of Federated Learning Over Wireless Mesh Networks with Low-Capacity Devices", Information Technology and Systems (ICITS). Lecture Notes in Networks and Systems, vol 414. Springer, Feb. 2022.
  13. F. Freitag, P. Vilchez, L. Wei, C.-H. Liu, and M. Selimi, "Poster: Testbed in Wireless City Mesh Network with Application to Federated Learning Experiments", in Proc. of the 11th Int. Conf. on the Internet of Things, Nov. 2021.
  14. Y. Luo, L. Pu, and C.-H. Liu,"Optimal CPU Frequency Scaling Policies for Sustainable Edge Computing", in Proc. of IEEE Int. Symp on Personal, Indoor, and Mobile Radio Commun. (PIMRC), Sep. 2021.
  15. C.-H. Liu, Y. Luo, and L. Pu, "A Multi-Cell Open-Loop Communication Approach to Ultra-Reliable Mobile Networks", in Proc. of IEEE Int. Symp on Personal, Indoor, and Mobile Radio Commun. (PIMRC), Sep. 2021.
  16. C.-H. Liu, D.-C. Liang, and R.-H. Gau, "A 3D Modeling Approach to Tractable Analysis in UAV-Enabled Cellular Networks", in Proc. of IEEE Int. Conf. on Commun. (ICC), Jun. 2021.
  17. J.-Y. Wu, W.-H. Li, L.-C. Huang, Y.-P. Lin, C.-H. Liu, and R.-H. Gau, "Deterministic Coherence-Based Performance Guarantee for Noisy Sparse Subspace Clustering using Greedy Neighbor Selection", in Proc. of IEEE Sensor Array and Multichannel Signal Processing Workshop, Jun. 2020.
  18. J.-Y. Wu, L.-C. Huang, W.-H. Li, H.-H. Chan, C.-H. Liu, and R.-H. Gau, "Sparse Subspace Clustering with Linear Subspace-Neighborhood-Preserving Data Embedding", in Proc. of IEEE Sensor Array and Multichannel Signal Processing Workshop, Jun. 2020. (Invited)
  19. C.-H. Liu, "Energy Efficiency Optimization of Heterogeneous Networks with SWIPT: A Cell-Load Perspective", in Proc. of IEEE Vehicular Technology Conference (VTC) Fall, 2019.
  20. C.-H. Liu, D.-C. Liang, and R.-H. Gau, "On Achieving High PHY-Layer Security in D2D-Enabled Heterogeneous Networks", in Proc. of IEEE Vehicular Technology Conference (VTC) Fall, 2019.
  21. J.-Y. Wu, L.-C. Huang, M.-H. Yang, L.-H. Chang, and C.-H. Liu, "Sparse Subspace Clustering With Sequentially Ordered and Weighted L1-Minimization", in Proc. of IEEE Int. Conf. Image Processing, 2019.
  22. J.-Y. Wu, L.-C. Huang, M.-S. Yang, L.-H. Chang, and C.-H. Liu, "Enhanced Noisy Sparse Subspace Clustering via Reweighted L1-Minimization", in the Proc. of IEEE Workshop on Machine Learning for Signal Processing, Sep. 2018.
  23. C.-H. Liu, "A Model-Free Framework for Coverage Evaluation in Device-to-Device Heterogeneous Networks", in the Proc. of IEEE WiOpt, May 2018.
  24. C.-H. Liu and H.-M. Hu, "Throughput Regions and Opportunistic Scheduling for Full-Duplex HetNets with Decoupled User Association", in the Proc. of IEEE Int. Conf. on Commun. (ICC), May 2018.
  25. H.-M. Hu and C.-H. Liu, "Decoupled Rate-Optimal User Association for Full-Duplex Heterogeneous Networks", in the Proc. of IEEE Int. Conf. on Commun. (ICC), May 2018.
  26. C.-H. Liu and D.-C. Liang, "Towards Accurate Throughput Analysis for Dense Heterogeneous Networks with Cooperative NOMA", in the Proc. of IEEE Globecom, Dec. 2017.
  27. C.-H. Liu and H.-C. Tsai, "Decentralized Traffic Management for Heterogeneous Networks with Opportunistic Unlicensed Spectrum Sharing", in the Proc. of IEEE WiOpt, May 2017.
  28. C.-H. Liu, D.-C. Liang, P.-C. Chen, and J.-R. Yang, "Coverage Analysis for Dense Heterogeneous Networks with Cooperative NOMA", in the Proc. of IEEE VTC, Spring 2017. (invited)
  29. C.-H. Liu, D.-C. Liang, J.-R. Yang, and J. Chen, "A Generalized Analytical Framework for Coverage Evaluation in mmWave Heterogeneous Cellular Networks in Urban Areas", in the Proc. of IEEE Int. Conf. on Commun. (ICC), May 2017.
  30. C.-H. Liu and P.-C. Chen, "Load-Aware Coordinated Multipoint Joint Transmission in Dense Heterogeneous Networks: Downlink Coverage and Throughput Limits", in the Proc. of IEEE Int. Conf. on Commun. (ICC), May 2017.
  31. H.-M. Hu, C.-H. Liu, and K.-C. Chang, "Full-Duplex Heterogeneous Networks: Ergodic Rate Analysis with Realistic Interference Modeling", in the Proc. of IEEE WCNC, Mar. 2017.
  32. C.-H. Liu, "On the Energy Efficiency Limit of Dense Heterogeneous Cellular Networks", in the Proc. of IEEE Globecom, Dec. 2016.
  33. H.-C. Tsai, C.-H. Liu, and L.-C. Wang, "An Analytical Approach to Coexisting Evaluation in Multi-RAT Heterogeneous Networks with Opportunistic CSMA/CA", in the Proc. of IEEE Int. Conf. on Commun. (ICC), May 2016.
  34. C.-H. Liu and L.-C. Wang, "Modeling and Analysis of Coexisting Multiple Radio Access Technologies in Heterogeneous Wireless Networks", in the Proc. of IEEE ICNC, Feb. 2016. (Invited)
  35. C.-H. Liu and L.-C. Wang, "On the Optimality of Green Cell Load and Throughput in Small Cell Networks with Weighted Channel-Aware Cell Association", in the Proc. of IEEE Globecom, Dec. 2015.
  36. K. L. Fong, C.-H. Liu et al. "Energy-Efficient Cell Association and Load Analysis in Heterogeneous Cellular Networks", in the Proc. of IEEE Globecom (HetNet Workshop) 2015.
  37. C.-H. Liu and L.-C. Wang, "Random Cell Association and Void Probability in Poisson-distributed Cellular Networks", in the Proc. of IEEE Int. Conf. on Commun. (ICC), Jun. 2015.
  38. C.-T. Peng, L.-C. Wang, and C.-H. Liu, "Optimal Base Station Deployment for Small Cell Networks with Energy-Efficient Power Control", in the Proc. of IEEE Int. Conf. on Commun. (ICC), Jun. 2015.
  39. M. G. Khoshkholgh et al. "On the Impact of Delay Constraint on the Multicast Outage in Wireless Fading Environment", in the Proc. of IEEE Int. Conf. on Commun. (ICC), Jun. 2015.
  40. C.-H. Liu, "Adaptive Downlink CoMP in Heterogeneous Cellular Networks with Imperfect Overhead Messaging", in the Proc. of IEEE Globecom, Dec. 2014. (Best Paper Award)
  41. J. Chen, L.-C. Wang, and C.-H. Liu, "Coverage Probability of Small Cell Networks with Composite Fading and Shadowing", in the Proc. of IEEE PIMRC, Sept. 2014.
  42. C.-H. Liu and Y.-C. Tsai, "Distributed Dynamic Scheduling in Wireless Ad Hoc Networks with Spatial Randomness", in the Proc. of IEEE Globecom, Dec. 2013.
  43. C.-H. Liu, "Distributed Interfer-Channel Aware Scheduling in Large-Scale Wireless Ad Hoc Networks", in the Proc. of IEEE Globecom, Dec. 2013.
  44. B. Rong, C.-H. Liu, and S. Cui, "Discrete Location-Dependent Power Control in Wireless Clustered Ad Hoc Networks", in the Proc. of IEEE Globecom, Dec. 2013.
  45. C.-H. Liu and J. G. Andrews, "Ergodic Spatial Throughput in Wireless Ad Hoc Networks with Markovian Fading Channels", in the Proc. of IEEE WiOpt, May 2011.
  46. H.-F. Huang, Y.-F. Chang, and C.-H. Liu, "Enhancement of two-factor user authentication in wireless sensor networks", in the Proc. of the Sixth Int. Conf. on Intell. Info. Hiding and Multimedia Sign. Proc., Oct. 2010.
  47. C.-H. Liu and J. G. Andrews, "Multicast Capacity Scaling of Wireless Networks with Multicast Outage", in the Proc. of IEEE Int. Symp. on Info. Theory (ISIT), Jun. 2010.
  48. C.-H. Liu and J. G. Andrews, "Diversity-Multiplexing Analysis of Multihop Network Coding with Bidirectional Relaying", in the Proc. of the 47th Allerton Conference on Communication, Control and Computing, Sep. 2009.
  49. C.-H. Liu and A. Arapostathis, "Joint Network Coding and Superposition Coding for Multi-user Information Exchange in Wireless Relaying Networks", in the Proc. of IEEE Globecom, Dec. 2008. (Best Paper Award)
  50. C.-H. Liu, O. Au, P. Wong, and M. C. Kung, "Image characteristic oriented tone mapping for high dynamic range images", in the Proc. of Multimedia and Expo, pp. 1133-1136, Jun. 2008.
  51. Y. Kim, C. Yang, and C.-H. Liu, "Throughput Analysis of Randomized Sleep Scheduling with Constrained Connectivity in Wireless Sensor Networks", in the Proc. of IEEE Globecom, Dec. 2008.
  52. C.-H. Liu and F. Xue, "Network Coding for Two-Way Relaying: Rate Region, Sum Rate and Opportunistic Scheduling", in the Proc. of IEEE Int. Conf. on Commun. (ICC), May 2008.
  53. F. Xue, C.-H. Liu, and S. Sandhu, "MAC-Layer and PHY-Layer Network Coding for Two-Way Relaying: Achievable Rate Regions and Opportunistic Scheduling", the 45th Annual Allerton Conference on Communication, Control and Computing, Sep. 2007.
  54. C.-H. Liu, "Energy-Optimized Low Complexity Control of Power and Rate in Clustered CDMA Sensor Networks with Multirate Constraints", in the Proc. of IEEE Veh. Tech. Conf. (VTC), Fall 2007.
  55. C.-H. Liu and A. Arapostathis, "Distributed Stochastic Power and Rate Allocation for Energy Minimization in Wireless Sensor Networks", in the Proc. of IEEE Veh. Tech. Conf. (VTC), Sep. 2006.
  56. C.-H. Liu, "Low-Complexity Performance Optimization for MIMO CDMA Systems", in the Proc. of IEEE Wireless Commun. and Netw. Conf. (WCNC), Vol. 1, pp. 280-285, 2005.
  57. C.-H. Liu and H. H. Asada, "A Source Coding and Modulation Method for Power Saving and Interference Reduction in Wireless Sensor Network Systems", American Control Conf., Vol. 4, pp. 3003-3008, 2002.
  58. C.-H. Liu, E. Wade, and H. H. Asada, "Reduced cable smart motors using DC power line communications", in the Proc. of IEEE Int. Conf. on Robotics and Automation (ICRA), Vol. 4, pp. 3831-3838, 2001.