Faculty Profiles

Vuong, M. P., Lee, Y. J., Ojeda-Ruiz, I., & Lee, C. H. (n.d.). FairAD: Computationally Efficient Fair Graph Clustering via Algebraic Distance.

Huang, X., & Lee, C.-H. (2025). Demystifying Distributed Training of Graph Neural Networks for Link Prediction. In Proceedings of 2025 IEEE 45th International Conference on Distributed Computing Systems (ICDCS) (pp. 1–11). IEEE.

Chiu, K. H., Yin, H., Zhuo, W., Lee, C.-H., & Chan, S.-H. (2025). Graph-based Fingerprint Update Using Unlabelled WiFi Signals. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 9(1), 1–26.

Zhuo, W., Li, S., He, T., Liu, M., Chan, S.-H., Ha, S., & Lee, C.-H. (2024). Online Path Description Learning based on IMU Signals from IoT Devices. IEEE Transactions on Mobile Computing (TMC), 23(12), 11889–11906.

Yu, Z., Wu, Z., Zhong, S., Su, W., Chan, S.-H., Lee, C.-H., & Zhuo, W. (2024). M3-Impute: Mask-guided Representation Learning for Missing Value Imputation. arXiv preprint (pp. 1–25). Retrieved from https://arxiv.org/abs/2410.08794

Huang, X., Zhuo, W., Vuong, M. P., Li, S., Kim, J., Rees, B., & Lee, C.-H. (2024). CATGNN: Cost-Efficient and Scalable Distributed Training for Graph Neural Networks. arXiv preprint (pp. 1–14). Retrieved from https://arxiv.org/abs/2404.02300

Park, J.-W., Huang, X., & Lee, C.-H. (2024). Analyzing and Predicting Job Failures from HPC System Log. The Journal of Supercomputing, 80(1), 435–462.

Li, S., Tang, K., Lim, J., Lee, C.-H., & Kim, J. (2023). Computational Storage for an Energy-Efficient Deep Neural Network Training System. In Proceedings of Euro-Par 2023: Parallel Processing - 29th International Conference on Parallel and Distributed Computing (pp. 1–15). Springer Lecture Notes in Computer Science.

Zhuo, W., Chiu, K. H., Chen, J., Zhao, Z., Chan, S.-H., Ha, S., & Lee, C.-H. (2023). FIS-ONE: Floor Identification System with One Label for Crowdsourced RF Signals. In Proceedings of 2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS) (pp. 1–11). IEEE.

Li, S., Huang, X., Lee, C.-H., & Eun, D. Y. (2023). Controlling Epidemic Spread under Immunization Delay Constraints. In Proceedings of IFIP International Conference on Networking (Networking) (pp. 1–9). IFIP.

Chen, J., Kao, S., He, H., Zhuo, W., Wen, S., Lee, C.-H., & Chan, S.-H. (2023). Run, Don’t Walk: Chasing Higher FLOPS for Faster Neural Networks. In Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 12021–12031). IEEE/CVF.

Zhuo, W., Chiu, K. H., Chen, J., Tan, J., Sumpena, E., Chan, S.-H., … Lee, C.-H. (2023). Semi-supervised Learning with Network Embedding on Ambient RF Signals for Geofencing Services. In Proceedings of 2023 IEEE 39th International Conference on Data Engineering (ICDE) (pp. 1–14). IEEE.

Oh, S., Kong, J., Yang, Y., Jung, J., & Lee, C.-H. (2023). A Multi-Use Framework of Energy Storage Systems using Reinforcement Learning for Price-Based and Incentive-Based Demand Response Programs. International Journal of Electrical Power and Energy Systems, 144, 1–11.

Huang, X., Kim, J., Rees, B., & Lee, C.-H. (2022). Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying Glass. In Proceedings of 2022 IEEE International Symposium on Workload Characterization (IISWC) (pp. 160–170). IEEE.

Oh, S., Jung, J., Onen, A., & Lee, C.-H. (2022). A Reinforcement Learning-based Demand Response Strategy Designed from the Aggregator’s Perspective. Frontiers in Energy Research, 10, 1–13.

Zhuo, W., Zhao, Z., Chiu, K. H., Li, S., Ha, S., Lee, C.-H., & Chan, S.-H. (2022). GRAFICS: Floor Identification based on Directed Graph Embedding using Crowdsourced RF Signals. In Proceedings of 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS) (pp. 1051–1061). IEEE.

Li, S., Huang, X., & Lee, C.-H. (2021). An Efficient and Scalable Algorithm for Estimating Kemeny’s Constant of a Markov Chain on Large Graphs. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (pp. 964–974). ACM.

Li, S., Huang, X., & Lee, C.-H. (2021). Estimating Distributions of Large Graphs from Incomplete Sampled Data. In Proceedings of IFIP International Conference on Networking (Networking) (pp. 1–9). IFIP.

Huang, X., Lee, J., Kwon, Y.-W., & Lee, C.-H. (2020). CrowdQuake: A Networked System of Low-Cost Sensors for Earthquake Detection via Deep Learning. In Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (pp. 3261–3271). ACM.

Li, S., Lee, C.-H., & Eun, D. Y. (2020). Trapping Malicious Crawlers in Social Networks. In Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM) (pp. 775–784). ACM.

Kwon, Y.-W., Ahn, J.-K., Lee, J., & Lee, C.-H. (2020). Earthquake Early Warning using Low-Cost MEMS Sensors. In Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 6635–6637). IEEE.

Lee, C.-H., Tenneti, S., & Eun, D. Y. (2019). Transient Dynamics of Epidemic Spreading and Its Mitigation on Large Networks. In Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc) (pp. 191–200). ACM.

Lee, C.-H., Kang, M., & Eun, D. Y. (2019). Non-Markovian Monte Carlo on Directed Graphs. Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), 3(1), 1–31.

Lee, C.-H., Kang, M., & Eun, D. Y. (2019). Non-Markovian Monte Carlo on Directed Graphs. In Proceedings of the 2019 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) (pp. 95–96). ACM.

Lee, C.-H., Xu, X., & Eun, D. Y. (2017). On the Rao-Blackwellization and Its Application for Graph Sampling via Neighborhood Exploration. In Proceedings of IEEE Conference on Computer Communications (INFOCOM) (pp. 1–9). IEEE.

Xu, X., Lee, C.-H., & Eun, D. Y. (2017). Challenging the Limits: Sampling Online Social Networks with Cost Constraints. In Proceedings of IEEE Conference on Computer Communications (INFOCOM) (pp. 1–9). IEEE.

Kwak, J., Lee, C.-H., & Eun, D. Y. (2016). A High-order Markov Chain Based Scheduling Algorithm for Low Delay in CSMA Network. IEEE/ACM Transactions on Networking (ToN), 24(4), 2278–2290.

Lee, C.-H., Kwak, J., & Eun, D. Y. (2016). Towards Distributed Optimal Movement Strategy for Data Gathering in Wireless Sensor Networks. IEEE Transactions on Parallel and Distributed Systems (TPDS), 27(2), 574–584.

Lee, C.-H., & Eun, D. Y. (2016). Exploiting Heterogeneity for Improving Forwarding Performance in Mobile Opportunistic Networks: An Analytic Approach. IEEE Transactions on Mobile Computing (TMC), 15(1), 150–162.

Lee, C.-H., & Eun, D. Y. (2015). On the Efficiency-Optimal Markov Chains for Distributed Networking Applications. In Proceedings of IEEE Conference on Computer Communications (INFOCOM) (pp. 1840–1848). IEEE.

Lee, C.-H., & Eun, D. Y. (2014). Characterizing Link Connectivity in Opportunistic Networks. In Opportunistic Mobile Social Networks. CRC Press.

Kwak, J., Lee, C.-H., & Eun, D. Y. (2014). A High-order Markov Chain Based Scheduling Algorithm for Low Delay in CSMA Networks. In Proceedings of IEEE Conference on Computer Communications (INFOCOM) (pp. 1662–1670). IEEE.

Xu, X., Lee, C.-H., & Eun, D. Y. (2014). A General Framework of Hybrid Graph Sampling for Complex Network Analysis. In Proceedings of IEEE Conference on Computer Communications (INFOCOM) (pp. 2795–2803). IEEE.

Kwak, J., Lee, C.-H., & Eun, D. Y. (2013). Exploiting the Past to Reduce Delay in CSMA Scheduling: A High-order Markov Chain Approach. In Proceedings of the 2013 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) (pp. 353–354). ACM.

Lee, C.-H., & Eun, D. Y. (2013). On the Forwarding Performance under Heterogeneous Contact Dynamics in Mobile Opportunistic Networks. IEEE Transactions on Mobile Computing (TMC), 12(6), 1107–1119.

Lee, C.-H., Kwak, J., & Eun, D. Y. (2013). Characterizing Link Connectivity for Opportunistic Mobile Networking: Does Mobility Suffice? In Proceedings of IEEE Conference on Computer Communications (INFOCOM) (pp. 2076–2084). IEEE.

Lee, C.-H., Xu, X., & Eun, D. Y. (2012). Beyond Random Walk and Metropolis-Hastings Samplers: Why You Should Not Backtrack for Unbiased Graph Sampling. In Proceedings of the 2012 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) (pp. 319–330). ACM.

Lee, C.-H., Eun, D. Y., Yun, S.-Y., & Yi, Y. (2012). From Glauber Dynamics to Metropolis Algorithm: Smaller Delay in Optimal CSMA. In Proceedings of IEEE International Symposium on Information Theory (ISIT) (pp. 2681–2685). IEEE.

Lee, C.-H., & Eun, D. Y. (2012). Toward Distributed Optimal Movement Strategy for Data Harvesting in Wireless Sensor Networks. In Proceedings of the 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON) (pp. 551–559). IEEE.

Lee, C.-H., & Eun, D. Y. (2011). Exploiting Heterogeneity to Prolong the Lifetime of Large-Scale Wireless Sensor Networks. In Proceedings of IEEE International Conference on Communications (ICC) (pp. 1–5). IEEE.

Lee, C.-H., & Eun, D. Y. (2011). Smart Sleep: Sleep More to Reduce Delay in Duty-Cycled Wireless Sensor Networks. In Proceedings of IEEE Conference on Computer Communications (INFOCOM) (pp. 611–615). IEEE.

Lee, C.-H., & Eun, D. Y. (2010). A Distributed Wake-up Scheduling for Opportunistic Forwarding in Wireless Sensor Networks. In Proceedings of IEEE Global Communications Conference (GLOBECOM) (pp. 1–5). IEEE.

Lee, C.-H., & Eun, D. Y. (2010). Exploiting Heterogeneity in Mobile Opportunistic Networks: An Analytic Approach. In Proceedings of the Seventh Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON) (pp. 502–510). IEEE.

Kim, S., Lee, C.-H., & Eun, D. Y. (2010). Super-diffusive Behavior of Mobile Nodes and Its Impact on Routing Protocol Performance. IEEE Transactions on Mobile Computing (TMC), 9(2), 288–304.

Lee, C.-H., & Eun, D. Y. (2009). Heterogeneity in Contact Dynamics: Helpful or Harmful to Forwarding Algorithms in DTNs? In Proceedings of IEEE/IFIP International Symposium on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks (WiOpt) (pp. 1–10). IEEE/IFIP.

Cai, H., Lee, C.-H., & Eun, D. Y. (2008). Invariance Property of Isotropic Random Walk Mobility Patterns in Mobile Ad-Hoc Networks. In Proceedings of IEEE International Conference on Communications (ICC) (pp. 2141–2145). IEEE.

Kim, S., Lee, C.-H., & Eun, D. Y. (2008). Super-diffusive Behavior of Mobile Nodes from GPS Traces. ACM SIGMOBILE Mobile Computing and Communications Review, 12(1), 28–30.

Lee, D., Lee, C.-H., & Kim, J. W. (2005). Seamless Media Streaming over Mobile IP-enabled Wireless LAN. In Proceedings of IEEE Consumer Communications and Networking Conference (CCNC) (pp. 116–121). IEEE.

Lee, C.-H., Lee, D., & Kim, J. (2004). Link-layer Assisted Seamless MPEG-4 Streaming over Mobile IP-enabled Wireless LAN. In Proc. SPIE 5600, Multimedia Systems and Applications VII (pp. 111–119). SPIE.