Conference Papers

J. Rodriguez, W. Dong, C. Tarawneh, and Q. Lu, “Auction consensus algorithm with loss mechanism for decentralized task allocation,” Proceedings of the 2025 IEEE International Symposium on Multi-Robot & Multi-Agent Systems (MRS), Singapore, December 4-5, 2025.
D. Ahn, J. G. Jang, E. E. Papalexakis, “Improving Group Fairness in Tensor Completion via Imbalance Mitigating Entity Augmentation,” Pacific-Asia Conference on Knowledge Discovery and Data Mining. Singapore: Springer Nature, Singapore, June 2025.
J. Rodriguez. "Neural network aided drone estimation in GPS-denied environments." Presented at the AIAA 2025 Region IV Student Conference, March 28–29, 2025, Dallas, TX.
S. Pakala, D. Ahn, and E.E. Papalexakis. "Tensor Completion for Surrogate Modeling of Material Property Prediction." AAAI 2025 Bridge on Knowledge-Guided Machine Learning, February 25-26, 2025, Philadelphia, PA, USA.
Y. Tsitsikas, and E.E. Papalexakis. "Multi-View Spectral Clustering for Graphs with Multiple View Structures." In Proceedings of the 2025 SIAM International Conference on Data Mining (SDM). Society for Industrial and Applied Mathematics, 2025. DOI: https://doi.org/10.1137/1.9781611978520.26
S. Pakala, B. Graw, D. Ahn, T. Dinh, M.T. Mahin, V. Tsotras, J. Chen, and E.E. Papalexakis. "Automating Data Science Pipelines with Tensor Completion." 2024 IEEE International Conference on Big Data (BigData) (pp. 1075-1084), Washington DC, Dec. 2024. DOI: https://doi.org/10.1109/BigData62323.2024.10825934 .
Y. Tsitsikas, and E.E. Papalexakis. "Multi-Graph Explorer: A Framework for Advanced Multi-Graph Analysis and Method Development." In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (pp. 5284-5288). 2024. DOI: https://doi.org/10.1145/3627673.3679213.
D. Ahn, U.S. Saini, E.E. Papalexakis, and A. Payani. "Neural additive tensor decomposition for sparse tensors." In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management 2024 Oct 21 (pp. 14-23). DOI: https://doi.org/10.1145/3627673.3679833.
J. Chen, and E.E. Papalexakis. "Project or Factorize? A Case Study of Multiview CCA and PARAFAC2 Tensor Factorization." In Proceedings of the 58th Asilomar Conference on Signals, Systems, and Computers (pp. 1730-1734), Pacific Grove, CA, October 2024. DOI: 10.1109/IEEECONF60004.2024.10942863.
U.S. Saini, Z. Zguang, C.M. Yeh, W. Zhang, E.E. Papalexakis. "Analysis of Causal and Non-Causal Convolution Networks for Time Series Classification." In Proceedings of the 2024 SIAM International Conference on Data Mining (SDM) (pp. 797-805). Society for Industrial and Applied Mathematics. DOI: https://doi.org/10.1137/1.9781611978032.91.
D. Ahn, W. Shiao, A. Khaled, A. Bauer, S. Poulis, and E.E. Papalexakis. "Compact Interpretable Tensor Graph Multi-Modal News Embeddings." In Companion Proceedings of the ACM Web Conference 2024, May 13 (pp. 847-850). DOI: https://doi.org/10.1145/3589335.3651480
Z. Qazi, W. Shiao, and E.E. Papalexakis. "GPT-generated text detection: Benchmark dataset and tensor-based detection method." In Companion Proceedings of the ACM Web Conference 2024, May 13 (pp. 842-846). DOI: https://doi.org/10.1145/3589335.3651513.
E. Villalobos, H. Lugo, B. Cheng, M. Gutierrez, C. Tarawneh, P. Xu, J. Chen, and E.E. Papalexakis. "Spectral Clustering in Railway Crossing Accidents Analysis." American Society of Mechanical Engineers (ASME) 2024 Joint Rail Conference (JRC2024), Columbia, SC, May 2024. DOI: https://doi.org/10.1115/JRC2024-130028.
E. Villalobos, C. Tarawneh, J. Chen, E.E. Papalexakis, and P. Xu. "Kernel Ridge Regression in Predicting Railway Crossing Accidents." American Society of Mechanical Engineers (ASME) 2024 Joint Rail Conference (JRC2024), Columbia, SC, May 2024. DOI: https://doi.org/10.1115/JRC2024-130036.
R. Gurav, Z. Shang, A. Eldawy, J. Chen, E. Scudiero, E.E. Papalexakis. "Can SAM recognize crops? Quantifying the zero-shot performance of a semantic segmentation foundation model on generating crop-type maps using satellite imagery for precision agriculture." 37th Conference on Neural Information Processing Systems (NeurIPS) 2023 AI4Science Workshop, New Orleans, December 2023. ArXiv DOI: 10.48550/arXiv.2311.15138.
Q. Lu, and R. Luna, 2023. "Adaptive Multiple Distributed Bidirectional Spiral Path Planning for Foraging Robot Swarms." Proceedings of the 2023 20th Conference on Robots and Vision (CRV), pp. 225-232. https://doi.ieeecomputersociety.org/10.1109/CRV60082.2023.00036
V. Lopez and A. Akundi, 2023, April. "Modeling a uav surveillance scenario-an applied mbse approach." Proceedings of the 2023 IEEE International Systems Conference (SysCon) (pp. 1-8).
B. Cheng, E.E. Papalexakis, and J. Chen, 2023. "Towards Aligned Canonical Correlation Analysis: Preliminary Formulation and Proof-of-Concept Results." Proceedings of the 2023 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
J. Diaz, L. Xu, T. Sardarmehni, 2023, February. “Open-loop optimal control for tracking a reference signal with approximate dynamic programming.” International Mechanical Engineering Congress and Exposition, https://doi.org/10.1115/IMECE2022-96769
E. Torres, L. Xu, T. Sardarmehni, 2023, February. “Using actor-critic reinforcement learning for control and flight formation of quadrotors.” International Mechanical Engineering Congress and Exposition, https://doi.org/10.1115/IMECE2022-97224
D. Xu, W. Shiao, J. Chen, E.E. Papalexakis. "SV-Learn: Learning Matrix Singular Values with
Neural Networks." IEEE International Conference on Data Mining Workshops (ICDM Workshops), Orlando, FL, November 2022. DOI: 10.1109/ICDMW58026.2022.00039.
Y. Wu, U.S. Saini, J. Chen, E.E. Papalexakis. "TENALIGN: Joint Tensor Alignment and Coupled
Factorization." 22nd IEEE International Conference on Data Mining (ICDM), Orlando, FL, November 2022. DOI: 10.1109/ICDM54844.2022.00067.
J. Chen, D. Orozco, L. Figueroa, and E.E. Papalexakis. “Unsupervised Multiview Embedding of Node Embeddings.” Proceedings of Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, November 2022.
M.M. Garcez Duarte, E.E. Papalexakis, and J. Chen. “Graph-Assisted Tensor Disaggregation.” 17th International Workshop on Mining and Learning with Graphs (MLG), Washington DC, 2022 August.
S. Ahmed and W. Dong, 2022. “Tracking Control of UAVs with Uncertainty and Input Constraints.” Proceedings of American Control Conference.
M. Barrera, L. Cantu, C. Tarawneh, H. Foltz, B. Wilson, and B. Porter, 2022, April. "Pilot field test of an onboard wireless condition monitoring system for railroad rolling stock." Proceedings of the ASME/IEEE Joint Rail Conference (Vol. 85758, p. V001T09A002).
M. Amaro, C. Tarawneh, H. Foltz, R. Aguilera-Toro, and C. Peña, 2022. “Performance of a thermoelectric-based energy harvesting device on a realistic railroad route.” Proceedings of the 2022 ASME Joint Rail Conference.
A. Akundi and V. Lopez, 2022. “A Conceptual Model based Systems Engineering Framework (MBSE) for Digital Twins.” IEEE Systems Engineering Conference.
A. Velazquez, L. Xu, T. Sardarmehni, 2022. “Quadcopter control using single network adaptive critics." In Proceedings of the ASME International Mechanical Engineering Congress and Exposition (Vol. 86670, p. V005T07A035).