| 2025 | INFOCOM | Sparse Recovery Transmitter Detection. | Blessing Okoro, Maxwell McNeil, Kavya Meka, Karyn Doke, Petko Bogdanov, Mariya Zheleva |
| 2024 | ICTD | TVWS Network Resilience in Rural Towns: How External Factors Impact Network Performance and Social Factors Impact Network Longevity. | Vaasu Taneja, Munthir Chater, Tony Comanzo, Petko Bogdanov, Mariya Zheleva |
| 2024 | KDD | Low Rank Multi-Dictionary Selection at Scale. | Boya Ma, Maxwell McNeil, Abram Magner, Petko Bogdanov |
| 2024 | VTC | WideRate: Reinforcement Learning Rate Adaptation for Mobile Wide Area Networks. | Karyn Doke, Elham Sadeghi, Vaasu Taneja, Habib O. Affinnih, Petko Bogdanov, Mariya Zheleva |
| 2023 | ICDM | Multi-Dictionary Tensor Decomposition. | Maxwell McNeil, Petko Bogdanov |
| 2023 | SDM | GIST: Graph Inference for Structured Time Series. | Boya Ma, Maxwell McNeil, Petko Bogdanov |
| 2023 | SDM | CADENCE: Community-Aware Detection of Dynamic Network States. | Maxwell McNeil, Carolina Mattsson, Frank W. Takes, Petko Bogdanov |
| 2022 | DSAA | Unsupervised Instance and Subnetwork Selection for Network Data. | Lin Zhang, Nicholas Moskwa, Melinda Larsen, Petko Bogdanov |
| 2022 | KDD | DNA-Stabilized Silver Nanocluster Design via Regularized Variational Autoencoders. | Fariha Moomtaheen, Matthew Killeen, James T. Oswald, Anna Gonzlez-Rosell, Peter Mastracco, Alexander Gorovits, Stacy M. Copp, Petko Bogdanov |
| 2022 | SDM | SAGA: Signal-Aware Graph Aggregation. | Maxwell McNeil, Boya Ma, Petko Bogdanov |
| 2021 | CIKM | Mining Bursty Groups from Interaction Data. | Alexander Gorovits, Lin Zhang, Ekta Gujral, Evangelos E. Papalexakis, Petko Bogdanov |
| 2021 | KDD | Temporal Graph Signal Decomposition. | Maxwell J. McNeil, Lin Zhang, Petko Bogdanov |
| 2021 | SECON | MODELESS: MODulation rEcognition with LimitEd SuperviSion. | Wei Xiong, Petko Bogdanov, Mariya Zheleva |
| 2021 | SECON | CORE: Connectivity Optimization via REinforcement Learning in WANETs. | Alexander Gorovits, Karyn Doke, Lin Zhang, Mariya Zheleva, Petko Bogdanov |
| 2020 | DSAA | Period Estimation For Incomplete Time Series. | Lin Zhang, Petko Bogdanov |
| 2020 | ICDM | Learning Periods from Incomplete Multivariate Time Series. | Lin Zhang, Alexander Gorovits, Wenyu Zhang, Petko Bogdanov |
| 2020 | INFOCOM | Fractals in the Air: Under-determined modulation recognition for MIMO communication. | Wei Xiong, Lin Zhang, Maxwell McNeil, Petko Bogdanov, Mariya Zheleva |
| 2020 | INFOCOM | Exploiting Self-Similarity for Under-Determined MIMO Modulation Recognition. | Wei Xiong, Lin Zhang, Maxwell McNeil, Petko Bogdanov, Mariya Zheleva |
| 2020 | VTC | Towards scalable zero-shot modulation recognition. | Wei Xiong, Petko Bogdanov, Mariya Zheleva |
| 2019 | ICDM | Optimal Timelines for Network Processes. | Daniel J. DiTursi, Carolyn S. Kaminski, Petko Bogdanov |
| 2019 | ICDM | PERCeIDs: PERiodic CommunIty Detection. | Lin Zhang, Alexander Gorovits, Petko Bogdanov |
| 2019 | INFOCOM | Robust and Efficient Modulation Recognition Based on Local Sequential IQ Features. | Wei Xiong, Petko Bogdanov, Mariya Zheleva |
| 2019 | MOBICOM | DEMO: EApp: Improving Rural Emergency Preparedness and Response. | Karyn Doke, Nachuan Chengwang, Andrew Boggio-Dandry, Petko Bogdanov, Mariya Zheleva |
| 2019 | MOBICOM | Demo: EApp: Improving Rural Emergency Preparedness and Response. | Karyn Doke, Nachuan Chengwang, Andrew Boggio-Dandry, Petko Bogdanov, Mariya Zheleva |
| 2019 | SDM | DSL: Discriminative Subgraph Learning via Sparse Self-Representation. | Lin Zhang, Petko Bogdanov |
| 2018 | INFOCOM | AirVIEW: Unsupervised transmitter detection for next generation spectrum sensing. | Mariya Zheleva, Petko Bogdanov, Timothy LaRock, Paul Schmitt |
| 2018 | INFOCOM | AirVIEW: Unsupervised transmitter detection for next generation spectrum sensing. | Mariya Zheleva, Petko Bogdanov, Timothy LaRock, Paul Schmitt |
| 2018 | INFOCOM | Efficient spectrum summarization using compressed spectrum scans. | Mariya Zheleva, Timothy LaRock, Paul Schmitt, Petko Bogdanov |
| 2018 | KDD | LARC: Learning Activity-Regularized Overlapping Communities Across Time. | Alexander Gorovits, Ekta Gujral, Evangelos E. Papalexakis, Petko Bogdanov |
| 2017 | ICDE | A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks. | Victor Amelkin, Petko Bogdanov, Ambuj K. Singh |
| 2017 | ICDM | Local Community Detection in Dynamic Networks. | Daniel J. DiTursi, Gaurav Ghosh, Petko Bogdanov |
| 2017 | ICDM | Network Clocks: Detecting the Temporal Scale of Information Diffusion. | Daniel J. DiTursi, Gregorios A. Katsios, Petko Bogdanov |
| 2016 | ICDM | Towards Scalable Network Delay Minimization. | Sourav Medya, Petko Bogdanov, Ambuj K. Singh |
| 2015 | ICDE | Hierarchical in-network attribute compression via importance sampling. | Arlei Silva, Petko Bogdanov, Ambuj K. Singh |
| 2015 | ICDM | Learning Predictive Substructures with Regularization for Network Data. | Xuan-Hong Dang, Hongyuan You, Petko Bogdanov, Ambuj K. Singh |
| 2013 | CIKM | Accurate and scalable nearest neighbors in large networks based on effective importance. | Petko Bogdanov, Ambuj K. Singh |
| 2013 | ICDM | Mining Evolving Network Processes. | Misael Mongiov, Petko Bogdanov, Ambuj K. Singh |
| 2013 | SDM | NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks. | Petko Bogdanov, Christos Faloutsos, Misael Mongiov, Evangelos E. Papalexakis, Razvan Ranca, Ambuj K. Singh |
| 2012 | SIGMOD | SigSpot: mining significant anomalous regions from time-evolving networks (abstract only). | Misael Mongiov, Petko Bogdanov, Razvan Ranca, Ambuj K. Singh, Evangelos E. Papalexakis, Christos Faloutsos |
| 2011 | ICDM | Mining Heavy Subgraphs in Time-Evolving Networks. | Petko Bogdanov, Misael Mongiov, Ambuj K. Singh |
| 2010 | ICDM | Towards Community Discovery in Signed Collaborative Interaction Networks. | Petko Bogdanov, Nicholas D. Larusso, Ambuj K. Singh |