Publications

BibBase
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2022 (13)
Polymorphic Malware Behavior Through Network Trace Analysis. Deng, X.; and Mirkovic, J. In Proceedings of 14th International Conference on COMmunication Systems & NETworkS (COMSNETS), 2022.
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Unequal impact and spatial aggregation distort covid-19 growth rates. Burghardt, K.; Guo, S.; and Lerman, K. Philosophical Transactions of the Royal Society A, 380(2214): 20210122. 2022.
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Charting the Information and Misinformation Landscape to Characterize Misinfodemics on Social Media: COVID-19 Infodemiology Study at a Planetary Scale. Chen, E.; Jiang, J.; Chang, H. H.; Muric, G.; and Ferrara, E. JMIR Infodemiology, 2(1): e32378. Feb 2022.
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Generalizable Neuro-symbolic Systems for Commonsense Question Answering. Oltramari, A.; Francis, J.; Ilievski, F.; Ma, K.; and Mirzaee, R. arXiv preprint arXiv:2201.06230. 2022.
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Machine Learning on Graphs: A Model and Comprehensive Taxonomy. Murphy, I. C. A. S. A. A. B. P. A. C. R. A. K. In Journal of Machine Learning Research, 2022.
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Cybersecurity as Illuminator for the Future of Computing Research. Wroclawski, J.; and Benzel, T. Communications of the ACM. May 2022.
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Contextualized Scene Imagination for Generative Commonsense Reasoning. Wang, P.; Zamora, J.; Liu, J.; Ilievski, F.; Chen, M.; and Ren, X. In International Conference on Learning Representations, April 2022.
Contextualized Scene Imagination for Generative Commonsense Reasoning [link]Paper link bibtex
Untangling IP Protection via Learning and Structure. D. Chen, X. Z.; and French, M. March 2022.
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Bitstream Assurance Checking Engine for Undocumented Functionality. A. Schmidt, J. W.; and French, M. March 2022.
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StereoBit on the SpaceCube Mini. J. Carr, C. W.; D. Wu, M. F.; and M. Paolieri, H. M. 2022.
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Bitstream Assurance Checking Engine for Undocumented Functionality (BRACE). Schmidt, A. G.; Wilford, J.; Reynwar, B.; Sung, T.; and French, M. In Government Microcircuit Applications & Critical Techology Conference (GOMACTech), 2022.
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A Tutorial on Security and Privacy Challenges in CPS. Dibaji, S. M.; Hussain, A.; and Ishii, H. Security and Resilience of Control Systems,121–146. 2022.
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Transfer-based taxonomy induction over concept labels. Kejriwal, M.; Shen, K.; Ni, C.; and Torzec, N. Engineering Applications of Artificial Intelligence, 108: 104548. 2 2022.
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2021 (396)
User Experiences on Network Testbeds. Mirkovic, J.; and Pusey, P. In Proceedings of 14th Cyber Security Experimentation and Test (CSET), 2021.
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Lifelong Multi-Agent Path Finding in Large-Scale Warehouses. Li, J.; Tinka, A.; Kiesel, S.; Durham, J.; Thittamaranahalli, S.; and Koenig, S. Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-2021). 2021.
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Temporal Reasoning with Kinodynamic Networks. Zhang, H.; Tiruviluamala, N.; Koenig, S.; and Thittamaranahalli, S. Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling (ICAPS-2021). 2021.
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Hysteresis in Combinatorial Optimization Problems. Guan, Y.; Li, A.; Koenig, S.; Haas, S.; and Thittamaranahalli, S. Proceedings of the Thirty-Fourth International FLAIRS Conference (FLAIRS-2021). 2021.
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Conflict-Based Increasing Cost Search. Walker, T.; Sturtevant, N.; Zhang, H.; Li, J.; Felner, A.; and Thittamaranahalli, S. Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling (ICAPS-2021). 2021.
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A Hierarchical Approach to Multi-Agent Path Finding. Zhang, H.; Yao, M.; Liu, Z.; Li, J.; Terr, L.; Chan, S.; Thittamaranahalli, S.; and Koenig, S. Proceedings of the ICAPS-2021 Hierarchical Planning Workshop (HPlan-2021). 2021.
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Differential Programming via OR Methods. Sweitzer, S.; and Thittamaranahalli, S. Proceedings of the Twenty-Seventh International Conference on Principles and Practice of Constraint Programming (CP-2021). 2021.
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AI-Driven Quantification of Ground Glass Opacities in Lungs of Covid-19 Patients Using 3D Computed Tomography Imaging. Saha, M.; Amin, S.; Sharma, A.; Thittamaranahalli, S.; and Kalia, R. medRxiv/2021/260109. 2021.
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Building Survivable Software Systems by Automatically Adapting to Sensor Changes. Shi, Y.; Li, A.; Thittamaranahalli, S.; and Knoblock, C. Special Issue Article on Advances in Aerial and Space and and Underwater Robotics in Journal of Applied Sciences (JAS-2021). 2021.
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Emergence of Structural Inequalities in Scientific Citation Networks. Nettasinghe, B.; Alipourfard, N.; Krishnamurthy, V.; and Lerman, K. CoRR, abs/2103.10944. 2021.
Emergence of Structural Inequalities in Scientific Citation Networks [link]Paper link bibtex
A Directed, Bi-Populated Preferential Attachment Model with Applications to Analyzing the Glass Ceiling Effect. Nettasinghe, B.; Alipourfard, N.; Krishnamurthy, V.; and Lerman, K. CoRR, abs/2103.12149. 2021.
A Directed, Bi-Populated Preferential Attachment Model with Applications to Analyzing the Glass Ceiling Effect [link]Paper link bibtex
Limiting Tags Fosters Efficiency. Santos, T.; Burghardt, K.; Lerman, K.; and Helic, D. CoRR, abs/2104.01028. 2021.
Limiting Tags Fosters Efficiency [link]Paper link bibtex
Mapping Moral Valence of Tweets Following the Killing of George Floyd. Priniski, J. H.; Mokhberian, N.; Harandizadeh, B.; Morstatter, F.; Lerman, K.; Lu, H.; and Brantingham, P. J. CoRR, abs/2104.09578. 2021.
Mapping Moral Valence of Tweets Following the Killing of George Floyd [link]Paper link bibtex
Auditing Algorithmic Bias on Twitter. Bartley, N.; Abeliuk, A.; Ferrara, E.; and Lerman, K. In Hooper, C.; Weber, M.; Weller, K.; Hall, W.; Contractor, N.; and Tang, J., editor(s), WebSci '21: 13th ACM Web Science Conference 2021, Virtual Event, United Kingdom, June 21-25, 2021, pages 65–73, 2021. ACM
Auditing Algorithmic Bias on Twitter [link]Paper doi link bibtex
Socioeconomic Correlates of Anti-Science Attitudes in the US. Hu, M.; Rao, A.; Kejriwal, M.; and Lerman, K. Future Internet, 13(6): 160. 2021.
Socioeconomic Correlates of Anti-Science Attitudes in the US [link]Paper doi link bibtex
Identifying Shifts in Collective Attention to Topics on Social Media. He, Y.; Rao, A.; Burghardt, K.; and Lerman, K. In Thomson, R.; Hussain, M. N.; Dancy, C. L.; and Pyke, A., editor(s), Social, Cultural, and Behavioral Modeling - 14th International Conference, SBP-BRiMS 2021, Virtual Event, July 6-9, 2021, Proceedings, volume 12720, of Lecture Notes in Computer Science, pages 224–234, 2021. Springer
Identifying Shifts in Collective Attention to Topics on Social Media [link]Paper doi link bibtex
Having a Bad Day? Detecting the Impact of Atypical Events Using Wearable Sensors. Burghardt, K.; Tavabi, N.; Ferrara, E.; Narayanan, S.; and Lerman, K. In Thomson, R.; Hussain, M. N.; Dancy, C. L.; and Pyke, A., editor(s), Social, Cultural, and Behavioral Modeling - 14th International Conference, SBP-BRiMS 2021, Virtual Event, July 6-9, 2021, Proceedings, volume 12720, of Lecture Notes in Computer Science, pages 257–267, 2021. Springer
Having a Bad Day? Detecting the Impact of Atypical Events Using Wearable Sensors [link]Paper doi link bibtex
A Survey on Bias and Fairness in Machine Learning. Mehrabi, N.; Morstatter, F.; Saxena, N.; Lerman, K.; and Galstyan, A. ACM Comput. Surv., 54(6): 115:1–115:35. 2021.
A Survey on Bias and Fairness in Machine Learning [link]Paper doi link bibtex
Speaker Turn Modeling for Dialogue Act Classification. He, Z.; Tavabi, L.; Lerman, K.; and Soleymani, M. CoRR, abs/2109.05056. 2021.
Speaker Turn Modeling for Dialogue Act Classification [link]Paper link bibtex
Follow the leader: Documents on the leading edge of semantic change get more citations. Soni, S.; Lerman, K.; and Eisenstein, J. J. Assoc. Inf. Sci. Technol., 72(4): 478–492. 2021.
Follow the leader: Documents on the leading edge of semantic change get more citations [link]Paper doi link bibtex
Heterogeneous Effects of Software Patches in a Multiplayer Online Battle Arena Game. He, Y.; Tran, C.; Jiang, J.; Burghardt, K.; Ferrara, E.; Zheleva, E.; and Lerman, K. CoRR, abs/2110.14632. 2021.
Heterogeneous Effects of Software Patches in a Multiplayer Online Battle Arena Game [link]Paper link bibtex
Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings. He, Z.; Mokhberian, N.; C\^amara, A.; Abeliuk, A.; and Lerman, K. In Findings of the Association for Computational Linguistics: EMNLP 2021, pages 2102–2118, 2021.
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The Wide, the Deep, and the Maverick: Types of Players in Team-based Online Games. Jiang, J.; Maldeniya, D.; Lerman, K.; and Ferrara, E. Proc. ACM Hum. Comput. Interact., 5(CSCW1): 191:1–191:26. 2021.
The Wide, the Deep, and the Maverick: Types of Players in Team-based Online Games [link]Paper doi link bibtex
Mitigating the Bias of Heterogeneous Human Behavior in Affective Computing. Yan, S.; Kao, H.; Lerman, K.; Narayanan, S.; and Ferrara, E. In 9th International Conference on Affective Computing and Intelligent Interaction, ACII 2021, Nara, Japan, September 28 - Oct. 1, 2021, pages 1–8, 2021. IEEE
Mitigating the Bias of Heterogeneous Human Behavior in Affective Computing [link]Paper doi link bibtex
COVID-19 misinformation and the 2020 US presidential election. Chen, E.; Chang, H.; Rao, A.; Lerman, K.; Cowan, G.; and Ferrara, E. The Harvard Kennedy School Misinformation Review. 2021.
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Political partisanship and antiscience attitudes in online discussions about COVID-19: Twitter content analysis. Rao, A.; Morstatter, F.; Hu, M.; Chen, E.; Burghardt, K.; Ferrara, E.; Lerman, K.; and others Journal of medical Internet research, 23(6): e26692. 2021.
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Gender disparity in the authorship of biomedical research publications during the COVID-19 pandemic: Retrospective observational study. Muric, G.; Lerman, K.; and Ferrara, E. Journal of medical Internet research, 23(4): e25379. 2021.
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The emergence of heterogeneous scaling in research institutions. Burghardt, K. A; He, Z.; Percus, A. G; and Lerman, K. Communications Physics, 4(1): 1–6. 2021.
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Explaining classification performance and bias via network structure and sampling technique. Esp\́in-Noboa, L.; Karimi, F.; Ribeiro, B.; Lerman, K.; and Wagner, C. Applied Network Science, 6(1): 1–25. 2021.
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Disaggregation via Gaussian regression for robust analysis of heterogeneous data. Alipourfard, N.; Burghardt, K.; and Lerman, K. Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods. 2021.
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Relative-Motion Trajectory Generation and Maintenance for Multi-Spacecraft Swarms. Rughani, R. Ph.D. Thesis, University of Southern California, 2021.
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SENSOR FUSION KALMAN FILTERING FOR STABILITY AND CONTROL OF SATELLITE SWARMS. Rughani, R.; and Barnhart, D. A . 2021.
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Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization. Ma, X. 2021.
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Luna: Linear Unified Nested Attention. Ma, X.; Kong, X.; Wang, S.; Zhou, C.; May, J.; Ma, H.; and Hovy, E. In Advances in Neural Information Processing Systems (NeurIPS-2021). 2021.
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AESOP: Paraphrase Generation with Adaptive Syntactic Control. Sun, J.; Ma, X.; and Peng, N. In Punta Cana, Dominican Republic, November 2021.
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Decoupling Global and Local Representations via Invertible Generative Flows. Ma, X.; Kong, X.; Zhang, S.; and Hovy, E. In May 2021.
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Examining and Combating Spurious Features under Distribution Shift. Zhou, C.; Ma, X.; Michel, P.; and Neubig, G. In Meila, M.; and Zhang, T., editor(s), volume 139, of Proceedings of Machine Learning Research, pages 12857–12867, 18–24 Jul 2021. PMLR
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COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences. Singh, S.; Wen, N.; Hou, Y.; Alipoormolabashi, P.; Wu, T.; Ma, X.; and Peng, N. In pages 883–898, August 2021. Association for Computational Linguistics
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Personalized Response Generation via Generative Split Memory Network. Wu, Y.; Ma, X.; and Yang, D. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 1956–1970, Online, June 2021. Association for Computational Linguistics
Personalized Response Generation via Generative Split Memory Network [link]Paper doi link bibtex
Leveraging In-Network Computing and Programmable Switches for Streaming Analysis of Scientific Data. C. Sankaran, G.; Chung, J.; and Kettimuthu, R. In 2021 IEEE 7th International Conference on Network Softwarization (NetSoft), pages 293-297, 2021.
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P4 and NetFPGA based secure in-network computing architecture for AI-enabled Industrial Internet of Things. C. Sankaran, G.; Sivalingam, K. M.; and Gondaliya, H. IEEE Internet of Things Journal,1-1. 2021.
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A minimal resource high-speed routing lookup mechanism for servers with NetFPGAs. C. Sankaran, G.; and Sivalingam, K. M. Transactions on Emerging Telecommunications Technologies, n/a(n/a): e4429. 2021.
A minimal resource high-speed routing lookup mechanism for servers with NetFPGAs [link]Paper doi link bibtex abstract
Customizable Camera Verification for Media Forensic. Cao, H.; and AbdAlmageed, W. International Conference on Document Analysis and Recognition. 2021.
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Root Cause Analysis of Data Integrity Errors in Networked Systems with Incomplete Information. Xin, Y.; Fu, S.; Mandal, A.; Baldin, I.; Tanaka, R.; Rynge, M.; Vahi, K.; Deelman, E.; Abhinit, I.; and Von, W. In 2021 International Conference on Information and Communication Technology Convergence (ICTC), pages 735-740, 2021.
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Predicting Flash Floods in the Dallas-Fort Worth Metroplex Using Workflows and Cloud Computing. Lyons, E.; Seo, D.; Kim, S.; Habibi, H.; Papadimitriou, G.; Tanaka, R.; Deelman, E.; Zink, M.; and Mandal, A. In 2021 IEEE 17th International Conference on eScience (eScience), pages 259-261, 2021. Funding Acknowledgments: NSF 1826997, 2018074, 1664162
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FlyNet: A Platform to Support Scientific Workflows from the Edge to the Core for UAV Applications. Lyons, E.; Saplakoglu, H.; Zink, M.; Thareja, K.; Mandal, A.; Qu, C.; Wang, S.; Calyam, P.; Papadimitriou, G.; Tanaka, R.; and Deelman, E. In Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing, of UCC '21, New York, NY, USA, 2021. Association for Computing Machinery
FlyNet: A Platform to Support Scientific Workflows from the Edge to the Core for UAV Applications [link]Paper doi link bibtex
Emerging Frameworks for Advancing Scientific Workflows Research, Development, and Education. Casanova, H.; Deelman, E.; Gesing, S.; Hildreth, M.; Hudson, S.; Koch, W.; Larson, J.; McDowell, M. A.; Meyers, N.; Navarro, J.; Papadimitriou, G.; Tanaka, R.; Taylor, I.; Thain, D.; Wild, S. M.; Filgueira, R.; and da Silva, R. F. In 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), pages 74-80, 2021.
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Fair sharing of network resources among workflow ensembles. Papadimitriou, G.; Lyons, E.; Wang, C.; Thareja, K.; Tanaka, R.; Ruth, P.; Rodero, I.; Deelman, E.; Zink, M.; and Mandal, A. Cluster Computing. 2021. Funding Acknowledgments: NSF 1826997
Fair sharing of network resources among workflow ensembles [link]Paper doi link bibtex
A Performance Characterization of Scientific Machine Learning Workflows. Krawczuk, P.; Papadimitriou, G.; Tanaka, R.; Do, T. M. A.; Subramany, S.; Nagarkar, S.; Jain, A.; Lam, K.; Mandal, A.; Pottier, L.; and Deelman, E. In 2021 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS), pages 58-65, 2021. Funding Acknowledgments: DOE DE-SC0012636, NSF 1664162
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The Pegasus Workflow Management System: Translational