| 2026 | ICS | cuMIS: A Unified Scalable Framework for Computing Maximal Independent Sets on Trillion-Edge Graphs. | Joseph Nke, Seunghwa Kang, Bradley Rees, Chul-Ho Lee |
| 2026 | WSDM | Efficient Monte Carlo Algorithms for Approximating Katz Centrality on Large Graphs. | Garrett W. Cornett, Minh Phu Vuong, Chul-Ho Lee |
| 2025 | CIKM | FairAD: Computationally Efficient Fair Graph Clustering via Algebraic Distance. | Minh Phu Vuong, Young-Ju Lee, Ivn Ojeda-Ruiz, Chul-Ho Lee |
| 2025 | ICDCS | Demystifying Distributed Training of Graph Neural Networks for Link Prediction. | Xin Huang, Chul-Ho Lee |
| 2025 | MASS | Effective Delayed Patching for Transient Malware Control on Networks. | Minh Phu Vuong, Chul-Ho Lee, Do Young Eun |
| 2025 | SC | eIM: GPU-Accelerated Efficient Influence Maximization in Large-Scale Social Networks. | Jacob Doney, Xin Huang, Chul-Ho Lee |
| 2023 | CVPR | 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 |
| 2023 | EuroPar | Computational Storage for an Energy-Efficient Deep Neural Network Training System. | Shiju Li, Kevin Tang, Jin Lim, Chul-Ho Lee, Jongryool Kim |
| 2023 | ICDCS | 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 |
| 2023 | ICDE | 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 |
| 2023 | Networking | Controlling Epidemic Spread Under Immunization Delay Constraints. | Shiju Li, Xin Huang, Chul-Ho Lee, Do Young Eun |
| 2022 | ICDCS | 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 |
| 2021 | KDD | An Efficient and Scalable Algorithm for Estimating Kemeny's Constant of a Markov Chain on Large Graphs. | Shiju Li, Xin Huang, Chul-Ho Lee |
| 2021 | Networking | Estimating Distributions of Large Graphs from Incomplete Sampled Data. | Shiju Li, Xin Huang, Chul-Ho Lee |
| 2020 | CIKM | Trapping Malicious Crawlers in Social Networks. | Shiju Li, Chul-Ho Lee, Do Young Eun |
| 2020 | IGARSS | Earthquake Early Warning Using Low-Cost MEMS Sensors. | Young-Woo Kwon, Jae-Kwang Ahn, Jimin Lee, Chul-Ho Lee |
| 2020 | KDD | CrowdQuake: A Networked System of Low-Cost Sensors for Earthquake Detection via Deep Learning. | Xin Huang, Jangsoo Lee, Young-Woo Kwon, Chul-Ho Lee |
| 2019 | MOBIHOC | Transient Dynamics of Epidemic Spreading and Its Mitigation on Large Networks. | Chul-Ho Lee, Srinivas Tenneti, Do Young Eun |
| 2019 | SIGMETRICS | Non-Markovian Monte Carlo on Directed Graphs. | Chul-Ho Lee, Min Kang, Do Young Eun |
| 2017 | INFOCOM | On the rao-blackwellization and its application for graph sampling via neighborhood exploration. | Chul-Ho Lee, Xin Xu, Do Young Eun |
| 2017 | INFOCOM | Challenging the limits: Sampling online social networks with cost constraints. | Xin Xu, Chul-Ho Lee, Do Young Eun |
| 2015 | INFOCOM | On the efficiency-optimal Markov chains for distributed networking applications. | Chul-Ho Lee, Do Young Eun |
| 2014 | INFOCOM | A high-order Markov chain based scheduling algorithm for low delay in CSMA networks. | Jaewook Kwak, Chul-Ho Lee, Do Young Eun |
| 2014 | INFOCOM | A general framework of hybrid graph sampling for complex network analysis. | Xin Xu, Chul-Ho Lee, Do Young Eun |
| 2013 | INFOCOM | Characterizing link connectivity for opportunistic mobile networking: Does mobility suffice? | Chul-Ho Lee, Jaewook Kwak, Do Young Eun |
| 2013 | SIGMETRICS | Exploiting the past to reduce delay in CSMA scheduling: a high-order markov chain approach. | Jaewook Kwak, Chul-Ho Lee, Do Young Eun |
| 2012 | ISIT | From Glauber dynamics to Metropolis algorithm: Smaller delay in optimal CSMA. | Chul-Ho Lee, Do Young Eun, Se-Young Yun, Yung Yi |
| 2012 | SIGMETRICS | Beyond random walk and metropolis-hastings samplers: why you should not backtrack for unbiased graph sampling. | Chul-Ho Lee, Xin Xu, Do Young Eun |
| 2012 | SECON | Toward distributed optimal movement strategy for data harvesting in wireless sensor networks. | Chul-Ho Lee, Do Young Eun |
| 2011 | INFOCOM | Smart sleep: Sleep more to reduce delay in duty-cycled wireless sensor networks. | Chul-Ho Lee, Do Young Eun |
| 2010 | GLOBECOM | A Distributed Wake-Up Scheduling for Opportunistic Forwarding in Wireless Sensor Networks. | Chul-Ho Lee, Do Young Eun |
| 2010 | SECON | Exploiting Heterogeneity in Mobile Opportunistic Networks: An Analytic Approach. | Chul-Ho Lee, Do Young Eun |
| 2009 | WiOpt | Heterogeneity in contact dynamics: Helpful or harmful to forwarding algorithms in DTNs? | Chul-Ho Lee, Do Young Eun |