Publications

Found 18 results
Author Title [ Type(Desc)] Year
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Conference Paper
Nguyen, D-A., T. Abdelzaher, S. Borbash, X-H. Dang, R. Ganti, A. Singh, and M. Srivatsa, "On Critical Event Observability Using Social Networks: A Disaster Monitoring Perspective", Military Communications Conference (MILCOM), 2014 IEEE: IEEE, 2014.
Dang, X. Hong, A. K. Singh, P. Bogdanov, H. You, and B. Hsu, "Discriminative Subnetworks with Regularized Spectral Learning for Global-State Network Data", Machine Learning and Knowledge Discovery in Databases - European Conference, {ECML} {PKDD} 2014, Nancy, France, September 15-19, 2014. Proceedings, Part {I}, pp. 290–306, 2014.
Manchanda, S., A. Mittal, A. Dhawan, S. Medya, S. Ranu, and A. Singh, "GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs", Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), 2020.
Silva, A., X. Hong Dang, P. Basu, A. Singh, and A. Swami, "Graph Wavelets via Sparse Cuts", Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016.
Dang, X-H., O. Askarisichani, and A. K. Singh, "Learning Multiclassifiers with Predictive Features that Vary with Data Distribution", IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018: IEEE, 2018.
Dang, X. Hong, H. You, P. Bogdanov, and A. K. Singh, "Learning Predictive Substructures with Regularization for Network Data", Data Mining (ICDM), 2015 IEEE International Conference on: IEEE, 2015.
Journal Article
Copp, S. M., P. Bogdanov, M. Debord, A. Singh, and E. Gwinn, "Base motif recognition and design of DNA templates for fluorescent silver clusters by machine learning", Advanced Materials, vol. 26, pp. 5839–5845, 2014.
Liu, X., S. Duan, Y. Jin, E. Walker, M. Tsao, J. H. Jang, Z. Chen, A. K. Singh, K. Lazar Cantrell, H. I. Ingolfsson, et al., "Computationally Designed Molecules Modulate ALS-Related Amyloidogenic TDP-43307–319 Aggregation", ACS Chemical Neuroscience, vol. 14, pp. 4395–4408, 2023.
Jin, Y., M. A. Downey, A. Singh, S. K. Buratto, and M. T. Bowers, "Computationally designed small molecules disassemble both soluble oligomers and protofibrils of amyloid β-protein responsible for Alzheimer’s disease", ACS Chemical Neuroscience, vol. 14, pp. 2717–2726, 2023.
Kar, D., M. Kosan, S. Medya, D. Mandal, A. Silva, P. Dey, and S. Sanyal, "Feature-based Individual Fairness in k-Clustering", International Conference on Autonomous Agents and Multiagent Systems (AAMAS Extended Abstract), 2023.
Hoang, M. X., X-H. Dang, X. Wu, Z. Yan, and A. K. Singh, "GPOP: Scalable Group-level Popularity Prediction for Online Content in Social Networks", Proceedings of the 26th International Conference on World Wide Web, 2017.
Hill, S. M., L. M. Heiser, T. Cokelaer, M. Unger, N. K. Nesser, D. E. Carlin, Y. Zhang, A. Sokolov, E. O. Paull, C. K. Wong, et al., "Inferring causal molecular networks: empirical assessment through a community-based effort", Nature methods, vol. 13, pp. 310–318, 2016.
Downey, M. A., M. J. Giammona, C. A. Lang, S. K. Buratto, A. Singh, and M. T. Bowers, "Inhibiting and remodeling toxic amyloid-beta oligomer formation using a computationally designed drug molecule that targets Alzheimer’s disease", Journal of The American Society for Mass Spectrometry, vol. 30, pp. 85–93, 2018.
Bogdanov, P., N. Dereli, X-H. Dang, D. S. Bassett, N. F. Wymbs, S. T. Grafton, and A. K. Singh, "Learning about learning: Mining human brain sub-network biomarkers from fMRI data", PLoS one, vol. 12, pp. e0184344, 2017.
Bogdanov, P., N. Dereli, X-H. Dang, D. S. Bassett, N. F. Wymbs, S. T. Grafton, and A. K. Singh, "Learning about learning: Mining human brain sub-network biomarkers from fMRI data", PLoS one, vol. 12, pp. e0184344, 2017.
Jaffe, S., A. Davydov, D. Lapsekili, A. K. Singh, and F. Bullo, "Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees", CoRR, vol. abs/2402.08090, 2024.
Dang, X-H., A. Silva, A. Singh, A. Swami, and P. Basu, "Outlier Detection from Network Data with Subnetwork Interpretation", IEEE International Conference Data Mining (ICDM), 2016.
Dang, X. Hong, H. You, A. K. Singh, and S. Grafton, "Subnetwork Mining with Spatial and Temporal Smoothness", SIAM international conference on data mining (SDM), 2017.