Chul-Ho Lee
Department of Computer Science
Texas State University
Comal 311G
601 University Drive, San Marcos, Texas 78666
Phone: (512) 245-6580
Email: chulho_dot_lee_at_txstate_dot_edu
Embedded Files
I am currently an Assistant Professor in the Department of Computer Science at Texas State University, San Marcos, TX. Prior to that, I was an assistant professor in the Department of Computer Engineering and Sciences (now the Department of Electrical Engineering and Computer Science) at the Florida Institute of Technology, Melbourne, FL, and a senior research engineer at Samsung Electronics DMC R&D Center (now Samsung Research), South Korea. I received my Ph.D. degree in Computer Engineering from North Carolina State University, Raleigh, NC.
My research interests are in network/data science, machine learning, networking, and systems. My recent research focuses on (1) developing efficient algorithms and computational tools for graph mining and network analysis, and (2) leveraging and advancing machine learning techniques for mobile, IoT and other applications. My research has been supported by the National Science Foundation, NVIDIA, SK Hynix America, Korea Institute of Energy Technology Evaluation and Planning, etc.
Teaching
CS 4379E Introduction to Network Science
Selected/Recent Publications (Recent preprints and other papers can be found in DBLP or Google Scholar)
Efficient Training and Inference of (Graph) Neural Networks
Demystifying Distributed Training of Graph Neural Networks for Link Prediction
Xin Huang, Chul-Ho Lee
IEEE International Conference on Distributed Computing Systems (ICDCS), 2025.
Acceptance rate: 104/529 = 19.66%
[arXiv preprint]CATGNN: Cost-Efficient and Scalable Distributed Training for Graph Neural Networks
Xin Huang, Weipeng Zhuo, Minh Phu Vuong, Shiju Li, Jongryool Kim, Bradley Rees, Chul-Ho Lee
arXiv preprint, 2024.Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks
Jierun Chen, Shiu-hong Kao, Hao He, Weipeng Zhuo, Song Wen, Chul-Ho Lee, S.-H. Gary Chan
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Acceptance rate: 2360/9155 = 25.78%
[arXiv preprint]Computational Storage for an Energy-Efficient Deep Neural Network Training System
Shiju Li, Kevin Tang, Jin Lim, Chul-Ho Lee, Jongryool Kim
International European Conference on Parallel and Distributed Computing (Euro-Par), 2023.
Acceptance rate: 49/164 = 29.87%Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying Glass
Xin Huang, Jongryool Kim, Brad Rees, Chul-Ho Lee
IEEE International Symposium on Workload Characterization (IISWC), 2022.
[arXiv preprint]
(Graph) Neural Networks for Mobile/IoT/Other Applications
Graph-based Fingerprint Update Using Unlabelled WiFi Signals
Ka Ho Chiu, Handi Yin, Weipeng Zhuo, Chul-Ho Lee, S.-H. Gary Chan
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 9, No. 1, Article 3, March 2025;
ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), 2025.
[PDF]M3-Impute: Mask-guided Representation Learning for Missing Value Imputation
Zhongyi Yu, Zhenghao Wu, Shuhan Zhong, Weifeng Su, S.-H. Gary Chan, Chul-Ho Lee, Weipeng Zhuo
arXiv preprint, 2024.Online Path Description Learning based on IMU Signals from IoT Devices
Weipeng Zhuo, Shiju Li, Tianlang He, Mengyun Liu, S.-H. Gary Chan, Sangtae Ha, Chul-Ho Lee
IEEE Transactions on Mobile Computing (TMC), Vol. 23, No. 12, pp. 11889-11906, Dec. 2024.
[PDF]Semi-supervised Learning with Network Embedding on Ambient RF Signals for Geofencing Services
Weipeng Zhuo, Ka Ho Chiu, Jierun Chen, Jiajie Tan, Edmund Sumpena, S.-H. Gary Chan, Sangtae Ha, Chul-Ho Lee
IEEE International Conference on Data Engineering (ICDE), 2023.
[arXiv preprint]FIS-ONE: Floor Identification System with One Label for Crowdsourced RF Signals
Weipeng Zhuo, Ka Ho Chiu, Jierun Chen, Ziqi Zhao, S.-H. Gary Chan, Sangtae Ha, Chul-Ho Lee
IEEE International Conference on Distributed Computing Systems (ICDCS), 2023.
Acceptance rate: 83/439 = 18.9%
[arXiv preprint]GRAFICS: Graph Embedding-based Floor Identification Using Crowdsourced RF Signals
Weipeng Zhuo, Ziqi Zhao, Ka Ho Chiu, Shiju Li, Sangtae Ha, Chul-Ho Lee, S.-H. Gary Chan
IEEE International Conference on Distributed Computing Systems (ICDCS), 2022.
Acceptance rate: 114/573 = 19.9%
[arXiv preprint]CrowdQuake: A Networked System of Low-Cost Sensors for Earthquake Detection via Deep Learning
Xin Huang*, Jangsoo Lee*, Young-Woo Kwon, Chul-Ho Lee
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020.
Acceptance rate: 121/756 = 16%; *Equal contribution
[PDF]
Graph Mining and Network Analysis
FairAD: Computationally Efficient Fair Graph Clustering via Algebraic Distance
Minh Phu Vuong, Young-Ju Lee, Iván Ojeda-Ruiz, Chul-Ho Lee
ACM International Conference on Information and Knowledge Management (CIKM), 2025.
Acceptance rate: 443/1,627 = 27.2%Effective Delayed Patching for Transient Malware Control on Networks
Minh Phu Vuong, Chul-Ho Lee, Do Young Eun
IEEE International Conference on Mobile Ad Hoc and Smart Systems (MASS), 2025.
Acceptance rate: 29.6%Controlling Epidemic Spread Under Immunization Delay Constraints
Shiju Li, Xin Huang, Chul-Ho Lee, Do Young Eun
IFIP International Conference on Networking (Networking), 2023.
Acceptance rate: 53/190 = 27.89%
[arXiv preprint]An Efficient and Scalable Algorithm for Estimating Kemeny's Constant of a Markov Chain on Large Graphs
Shiju Li*, Xin Huang*, Chul-Ho Lee
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021.
Acceptance rate: 238/1541 = 15.44%; *Equal contribution
[PDF]Estimating Distributions of Large Graphs from Incomplete Sampled Data
Shiju Li, Xin Huang, Chul-Ho Lee
IFIP International Conference on Networking (Networking), 2021.
Acceptance rate: 41/158 = 25.9%
[Technical Report]Trapping Malicious Crawlers in Social Networks
Shiju Li, Chul-Ho Lee, Do Young Eun
ACM International Conference on Information and Knowledge Management (CIKM), 2020.
Acceptance rate: 193/920 = 20.97%
[Technical Report]Transient Dynamics of Epidemic Spreading and Its Mitigation on Large Networks
Chul-Ho Lee, Srinivas Tenneti, Do Young Eun
ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2019.
Acceptance rate: 37/156 = 23.71%; Best Paper Award Finalist
[arXiv preprint]Non-Markovian Monte Carlo on Directed Graphs
Chul-Ho Lee, Min Kang, Do Young Eun
Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), Vol. 3, No. 1, Article 15, March 2019;
ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), 2019.
Acceptance rate: 50/317 = 15.77%
[arXiv preprint]On the Rao-Blackwellization and Its Application for Graph Sampling via Neighborhood Exploration
Chul-Ho Lee, Xin Xu, Do Young Eun
IEEE International Conference on Computer Communications (INFOCOM), 2017.
Acceptance rate: 292/1395 = 20.93%
[Technical Report]Challenging the Limits: Sampling Online Social Networks with Cost Constraints
Xin Xu, Chul-Ho Lee, Do Young Eun
IEEE International Conference on Computer Communications (INFOCOM), 2017.
Acceptance rate: 292/1395 = 20.93%
[Technical Report]On the Efficiency-Optimal Markov Chains for Distributed Networking Applications
Chul-Ho Lee, Do Young Eun
IEEE International Conference on Computer Communications (INFOCOM), 2015.
Acceptance rate: 316/1640 = 19.3%A General Framework of Hybrid Graph Sampling for Complex Network Analysis
Xin Xu, Chul-Ho Lee, Do Young Eun
IEEE International Conference on Computer Communications (INFOCOM), 2014.
Acceptance rate: 320/1645 = 19.45%Beyond Random Walk and Metropolis-Hastings Samplers: Why You Should Not Backtrack for Unbiased Graph Sampling
Chul-Ho Lee, Xin Xu, Do Young Eun
ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), 2012.
Acceptance rate: 31/203 = 15.27%
[arXiv preprint]
Wireless and Mobile Networking
A High-Order Markov-Chain-Based Scheduling Algorithm for Low Delay in CSMA Networks
Jaewook Kwak, Chul-Ho Lee, Do Young Eun
IEEE/ACM Transactions on Networking (ToN), Vol. 24, No. 4, pp. 2278-2290, Aug. 2016.Towards Distributed Optimal Movement Strategy for Data Gathering in Wireless Sensor Networks
Chul-Ho Lee, Jaewook Kwak, Do Young Eun
IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 27, No. 2, pp. 574-584, Feb. 2016.Exploiting Heterogeneity for Improving Forwarding Performance in Mobile Opportunistic Networks: An Analytic Approach
Chul-Ho Lee, Do Young Eun
IEEE Transactions on Mobile Computing (TMC), Vol. 15, No. 1, pp. 150-162, Jan. 2016.A High-order Markov Chain Based Scheduling Algorithm for Low Delay in CSMA Networks
Jaewook Kwak, Chul-Ho Lee, Do Young Eun
IEEE International Conference on Computer Communications (INFOCOM), 2014.
Acceptance rate: 320/1645 = 19.45%On the Forwarding Performance under Heterogeneous Contact Dynamics in Mobile Opportunistic Networks
Chul-Ho Lee, Do Young Eun
IEEE Transactions on Mobile Computing (TMC), Vol. 12, No. 6, pp. 1107-1119, June 2013.Exploiting the Past to Reduce Delay in CSMA Scheduling: A High-order Markov Chain Approach (Extended Abstract)
Jaewook Kwak, Chul-Ho Lee, Do Young Eun
ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), 2013.
Acceptance rate: (26+28)/196 = 27.55%
[arXiv preprint]Characterizing Link Connectivity for Opportunistic Mobile Networking: Does Mobility Suffice?
Chul-Ho Lee, Jaewook Kwak, Do Young Eun
IEEE International Conference on Computer Communications (INFOCOM), 2013.
Acceptance rate: 280/1613 = 17.35%From Glauber Dynamics to Metropolis Algorithm: Smaller Delay in Optimal CSMA
Chul-Ho Lee, Do Young Eun, Se-Young Yun, Yung Yi
IEEE International Symposium on Information Theory (ISIT), 2012.Toward Distributed Optimal Movement Strategy for Data Harvesting in Wireless Sensor Networks
Chul-Ho Lee, Do Young Eun
IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 2012.
Acceptance rate: 19.4%Smart Sleep: Sleep More to Reduce Delay in Duty-Cycled Wireless Sensor Networks
Chul-Ho Lee, Do Young Eun
IEEE International Conference on Computer Communications (INFOCOM), 2011.
Acceptance rate: (291+136)/1823 = 23.42%Exploiting Heterogeneity in Mobile Opportunistic Networks: An Analytic Approach
Chul-Ho Lee, Do Young Eun
IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 2010.
Acceptance rate: 21%Super-diffusive Behavior of Mobile Nodes and Its Impact on Routing Protocol Performance
Sungwon Kim, Chul-Ho Lee, Do Young Eun
IEEE Transactions on Mobile Computing (TMC), Vol. 9, No. 2, pp. 288-304, Feb. 2010.Heterogeneity in Contact Dynamics: Helpful or Harmful to Forwarding Algorithms in DTNs?
Chul-Ho Lee, Do Young Eun
International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), 2009.
US Patents Granted
Patent #11252595 "Device and method for receiving streaming service data in mobile communication system supporting plurality of radio access interfaces"
Patent #11159594 "Streaming service data receiving device and method in mobile communication system for supporting plurality of radio access interfaces"
Patent #10785713 "Device and method for accessing multiple networks in wireless communication system"
Patent #10728792 "Device and method for receiving streaming service data in mobile communication system supporting plurality of radio access interfaces"
Patent #10356000 "Apparatus and method for uploading data in mobile communication system supporting a plurality of radio access interfaces"
Patent #10111171 "Method and apparatus for HTTP adaptive streaming in wireless network environment"
Patent #10057147 "Apparatus and method for controlling data flow in communication system"
Patent #9949208 "Method and apparatus for selecting power preference information in a wireless communication system network"
Patent #9913280 "Method and apparatus of allocating resources for terminal in wireless communication system"
Awards and Recognition
College Achievement Award for Excellence in Scholarly/Creative Activities, 2024
Best Reviewer Award, ACM KDD 2024
TXST CADS Innovation Seed Award, 2024
NVIDIA Applied Research Accelerator Award, 2022
Best Paper Award Finalist, ACM MobiHoc 2019
Distinguished TPC Member of IEEE INFOCOM 2018, 2019, 2020, 2021, 2022, 2023
Student Travel Grant Award, ACM SIGMETRICS 2012
Student Travel Grant Award, IEEE SECON 2012
Student Travel Grant Award, IEEE ICC 2011
Current Students
Xin Huang (PhD)
Minh Phu Vuong (PhD)
Joseph Nke (PhD)
Bao Vo (PhD)
Lei Zhao (PhD)
Garrett Cornett (MS)
Jacob Doney (BS Hons.)
Former/Mentored Students
Weipeng "Steve" Zhuo, Ph.D., December 2023 (First employment: BNU-HKBU United International College)
Shiju Li, Ph.D., May 2022 (First employment: SOLAB, SK Hynix America)
Joseph Nke, M.S., Dec. 2020
James Bologna, M.S., May 2019
Ebipamo Osaisai, M.S., May 2019
Jonathan Sibbett, B.S., May 2024
Garrett Cornett, B.S., May 2023
McNels Sylvestre Philippe Auguste, B.S., May 2019
Prosper Mapfeka, B.S., May 2018
Visiting Scholars/Students
Prof. Dongwan Kim, Dong-A University
Prof. Jaesung Jung, Ajou University
Aming Wu, Kyungpook National University
Professional Activities
Journal Editorial Board
Associate Editor, IEEE Transactions on Network Science and Engineering, 2023 – Present
Guest Editor, Frontiers in Energy Research – Smart Grids, 2022
Technical Committee Member, Elsevier Computer Communications, 2015 – Present
Conference Organizing Committee
Ph.D. Forum Co-Chair, IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2025
Track Co-Chair, Algorithms & Theory Track, IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS), 2024
Publication Co-Chair, IEEE/IFIP International Symposium on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks (WiOpt), 2023
Finance Co-Chair, IEEE International Symposium on Workload Characterization (IISWC), 2022
Conference Technical Program Committee
IEEE Conference on Computer Communications (INFOCOM), 2017 – 2026
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022 – 2025
IEEE International Conference on Data Mining (ICDM), 2022 – 2024
SIAM International Conference on Data Mining (SDM), 2022 – 2025
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2024 – 2025
ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc), 2019 – 2025
IEEE/IFIP International Symposium on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks (WiOpt), 2018 – 2025
ACM International Workshop on System and Network Telemetry and Analytics (SNTA), 2020 – 2024
IEEE International Conference on Sensing, Communication and Networking (SECON), 2016
IEEE/ACM International Conference on Mobile Software Engineering and Systems (MOBILESoft) – Visions Track, 2019
IEEE/ACM International Conference on Mobile Software Engineering and Systems (MOBILESoft) – ACM Student Research Competition, 2015 – 2017
ACM International Workshop on Foundations of Mobile Computing (FOMC), 2014
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