Professor
Department of Electrical and Computer Engineering
Texas A&M University
Curriculum Vitae
Contact Information:
Phone: (979) 862-1092
Email: ihou AT tamu DOT edu
Office: 301H, WEB
Bio
Dr. Hou received the B.S. in Electrical Engineering from National Taiwan University in 2004 and his M.S. and Ph.D. in Computer Science from the University of Illinois, Urbana-Champaign in 2008 and 2011, respectively.
In 2012, he joined the Department of Electrical and Computer Engineering at Texas A&M University where he is currently a professor. His research interests include cloud/edge computing, wireless networks, and reinforcement learning.
Dr. Hou received the 2025 IEEE Communications Society William R. Bennett Prize, the Best Paper Awards in ACM MobiHoc 2020 and ACM MobiHoc 2017, the Best Student Paper Award in WiOpt 2017, and the C.W. Gear Outstanding Graduate Student Award from the University of Illinois at Urbana-Champaign.
News
[Aug. 2025] A paper, “Understanding the Fundamental Trade-Off Between Age of Information and Throughput in Unreliable Wireless Networks,” is accepted for ACM MobiHoc 2025. The acceptance rate is 23%. [Aug. 2025] Our paper, “Timely Communications for Remote Inference,” receives the 2025 IEEE Communications Society William R. Bennett Prize. This annual award recognizes an outstanding original paper published in the IEEE/ACM Transactions on Networking or the IEEE Transactions on Network and Service Management within the past three years. [Dec. 2024] A paper, “Network Optimization in Dynamic Systems: Fast Adaptation via Zero-Shot Lagrangian Update,” is accepted for IEEE Infocom 2025. The acceptance rate is 18.7%. [Oct. 2024] My paper “Distributed No-Regret Learning for Multi-Stage Systems with End-to-End Bandit Feedback” receives the Best Paper Runner Up Award in ACM MobiHoc 2024. [Aug. 2024] We have two papers accepted for ACM MobiHoc 2024. The titles are “Distributed No-Regret Learning for Multi-Stage Systems with End-to-End Bandit Feedback,” and “Deep Index Policy for Multi-Resource Restless Matching Bandit and Its Application in Multi-Channel Scheduling.” The acceptance rate is 24.5%. [July 2024] A paper, “AoI, Timely- Throughput, and Beyond: A Theory of Second-Order Wireless Network Optimization,” is accepted for IEEE/ACM Transactions on Networking. [June 2024] A paper, “Optimizing Age of Information in Random Access Networks: A Second-Order Approach for Active/Passive Users,” is accepted for IEEE Transactions on Communications. [June 2024] My PhD student Siqi Fan successfully defended his thesis. Congratulations, Dr. Fan! [May 2024] A paper, “Timely Communications for Remote Inference,” is accepted for IEEE/ACM Transactions on Networking. [Oct. 2023] A paper, “Learning and Communications Co-design for Remote Inference Systems: Feature Length Selection and Transmission Scheduling,” is accepted for IEEE Journal on Selected Areas in Information Theory. [May 2023] A paper, “Minimizing Moments of AoI for Both Active and Passive Users through Second-Order Analysis,” is accepted for IEEE ISIT 2023. [Dec. 2022] A paper, “Dynamic Regret of Randomized Online Service Caching in Edge Computing,” is accepted for IEEE Infocom 2023. The acceptance rate is 19.2%. [Sep. 2022] A paper, “DeepTOP: Deep Threshold-Optimal Policy for MDPs and RMABs,” is accepted for NeurIPS 2022. The acceptance rate is 25.6%.