I-Hong Hou

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: 334C 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 an associate professor. His research interests include cloud/edge computing, wireless networks, and machine learning.

Dr. Hou received 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

[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%.

[Dec. 2021] A paper, “Age of Information for Single Buffer Systems with Vacation Server,” is accepted for IEEE Transactions on Network Science and Engineering.

[Dec. 2021] A paper, “A Theory of Second-Order Wireless Network Optimization and Its Application on AoI,” is accepted for IEEE Infocom 2022. The acceptance rate is 19.9%

[Oct. 2021] A paper, “NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL,” is accepted for NeurIPS 2021. The acceptance rate is 26%.

[Feb. 2021] A paper, “Scheduling Real-Time Information-Update Flows for the Optimal Confidence in Estimation,” is accepted for IEEE Journal on Selected Areas in Communications.

[Jan. 2021] A paper, “Joint Index Coding and Incentive Design for Selfish Clients,” is accepted for IEEE Transactions on Communications.