Publications

Found 178 results
Author Title [ Type(Desc)] Year
Conference Paper
Medya, S., P. Bogdanov, and A. K. Singh, "Towards Scalable Network Delay Minimization", {IEEE} 16th International Conference on Data Mining, {ICDM} 2016, December 12-15, 2016, Barcelona, Spain, 2016.
Bulut, A., and A. K. Singh, "A Unified Framework for Monitoring Data Streams in Real Time", Proceedings of the 21st International Conference on Data Engineering, {ICDE} 2005, 5-8 April 2005, Tokyo, Japan, pp. 44–55, 2005.
Bhattacharya, A., V. Ljosa, J-Y. Pan, M. R. Verardo, H-J. Yang, C. Faloutsos, and A. K. Singh, "ViVo: Visual Vocabulary Construction for Mining Biomedical Images", Proceedings of the 5th {IEEE} International Conference on Data Mining {(ICDM} 2005), 27-30 November 2005, Houston, Texas, {USA}, pp. 50–57, 2005.
Conference Proceedings
Bhowmick, A., M. Kosan, Z. Huang, A. Singh, and S. Medya, "DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization", The 38th Annual AAAI Conference on Artificial Intelligence (AAAI'24), 2024.
Kosan, M., S. Verma, B. Armgaan, K. Pahwa, A. Singh, S. Medya, and S. Ranu, "GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking", The Twelfth International Conference on Learning Representations (ICLR), 2024.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023: ACM, 2023.
Journal Article
cCamoglu, O. \, T. Can, and A. K. Singh, "Accurate and Scalable Techniques for the Complex/Pathway Membership Problem in Protein Networks", Adv. Bioinformatics, vol. 2009, pp. 787128:1–787128:9, 2009.
Kosan, M., L. He, S. Agrawal, H. Liu, and C. Chetia, "AI Decision Systems with Feedback Loop Active Learner", WSDM Crowd Science Workshop, 2023.
Ranu, S., and A. K. Singh, "Answering Top-k Queries Over a Mixture of Attractive and Repulsive Dimensions", CoRR, vol. abs/1111.7165, 2011.
Ranu, S., and A. K. Singh, "Answering Top-k Queries Over a Mixture of Attractive and Repulsive Dimensions", {PVLDB}, vol. 5, no. 3, pp. 169–180, 2011.
Medya, S., A. Silva, and A. K. Singh, "Approximate Algorithms for Data-Driven Influence Limitation", IEEE Trans. Knowl. Data Eng., vol. 34, pp. 2641–2652, 2022.
Medya, S., A. Silva, and A. Singh, "Approximate Algorithms for Data-driven Influence Limitation", IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.
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.
Zong, B., X. Xiao, Z. Li, Z. Wu, Z. Qian, X. Yan, A. K. Singh, and G. Jiang, "Behavior Query Discovery in System-Generated Temporal Graphs", {PVLDB}, vol. 9, pp. 240–251, 2015.
Kvilekval, K., D. Fedorov, B. Obara, A. K. Singh, and B. S. Manjunath, "Bisque: a platform for bioimage analysis and management", Bioinformatics, vol. 26, no. 4, pp. 544–552, 2010.
Kvilekval, K., D. Fedorov, U. Gaur, S. Goff, N. Merchant, B. S. Manjunath, and A. K. Singh, "Bisque: Advances in Bioimage Databases", {IEEE} Data Eng. Bull., vol. 35, no. 3, pp. 56–64, 2012.
Prabhakar, S., D. Agrawal, A. El Abbadi, A. K. Singh, and T. R. Smith, "Browsing and placement of multi-resolution images on parallel disks", Multimedia Syst., vol. 8, no. 6, pp. 459–469, 2003.
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.
cCamoglu, O. \, T. Can, A. K. Singh, and Y-F. Wang, "Decision Tree Based Information Integration for Automated Protein Classification", J. Bioinformatics and Computational Biology, vol. 3, no. 3, pp. 717–742, 2005.
Lang, C. A., S. S. Ray, M. Liu, A. K. Singh, and G. D. Cuny, "Discovery of LRRK2 inhibitors using sequential in silico joint pharmacophore space (JPS) and ensemble docking", Bioorganic & medicinal chemistry letters, vol. 25, pp. 2713–2719, 2015.
Singh, A. K., B. S. Manjunath, and R. F. Murphy, "A Distributed Database for BioMolecular Images", {SIGMOD} Record, vol. 33, no. 2, pp. 65–71, 2004.
Lencevicius, R., U. Hölzle, and A. K. Singh, "Dynamic Query-Based Debugging of Object-Oriented Programs", Autom. Softw. Eng., vol. 10, no. 1, pp. 39–74, 2003.
Sarkar, A., V. Singh, P. Ghosh, B. S. Manjunath, and A. K. Singh, "Efficient and Robust Detection of Duplicate Videos in a Large Database", {IEEE} Trans. Circuits Syst. Video Techn., vol. 20, no. 6, pp. 870–885, 2010.
Hallgrímsson, H. T., R. Sharan, S. T. Grafton, and A. K. Singh, "Estimating localized complexity of white-matter wiring with GANs", Medical Imaging meets NeurIPS, 2019.
Askarisichani, O., E. Y. Huang, K. S. Sato, N. E. Friedkin, F. Bullo, and A. K. Singh, "Expertise and confidence explain how social influence evolves along intellective tasks", CoRR, vol. abs/2011.07168, 2020.
Lang, C. A., and A. K. Singh, "Faster Similarity Search for Multimedia Data Via Query Transformations", Int. J. Image Graphics, vol. 3, no. 1, pp. 3–30, 2003.
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.
Singh, V., A. Bhattacharya, and A. K. Singh, "Finding Significant Subregions in Large Image Databases", CoRR, vol. abs/0906.3585, 2009.
Bhattacharya, A., A. Bhowmick, and A. K. Singh, "Finding top-k similar pairs of objects annotated with terms from an ontology", CoRR, vol. abs/1001.2625, 2010.
Bhattacharya, A., S. Levy, A. LeBoeuf, M. Gaylord, L. Wilson, A. K. Singh, and S. C. Feinstein, "A general modeling and visualization tool for comparing different members of a group: application to studying tau-mediated regulation of microtubule dynamics", {BMC} Bioinformatics, vol. 9, 2008.
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.
Ye, W., Z. Huang, Y. Hong, and A. K. Singh, "Graph Neural Diffusion Networks for Semi-supervised Learning", CoRR, vol. abs/2201.09698, 2022.
Ye, W., J. Yang, S. Medya, and A. K. Singh, "Incorporating Heterophily into Graph Neural Networks for Graph Classification", CoRR, vol. abs/2203.07678, 2022.
Ye, W., D. Mautz, C. Böhm, A. K. Singh, and C. Plant, "Incorporating User's Preference into Attributed Graph Clustering", IEEE Trans. Knowl. Data Eng., vol. 33, pp. 3716–3728, 2021.
cCamoglu, O. \, T. Kahveci, and A. K. Singh, "Index-based Similarity Search for Protein Structure Databases", J. Bioinformatics and Computational Biology, vol. 2, no. 1, pp. 99–126, 2004.
Ruttenberg, B. E., and A. K. Singh, "Indexing the Earth Mover's Distance Using Normal Distributions", {PVLDB}, vol. 5, no. 3, pp. 205–216, 2011.
Ruttenberg, B. E., and A. K. Singh, "Indexing the Earth Mover's Distance Using Normal Distributions", CoRR, vol. abs/1111.7168, 2011.
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.
Zong, B., Y. Wu, A. K. Singh, and X. Yan, "Inferring the Underlying Structure of Information Cascades", CoRR, vol. abs/1210.3587, 2012.
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.
cCamoglu, O. \, T. Can, and A. K. Singh, "Integrating multi-attribute similarity networks for robust representation of the protein space", Bioinformatics, vol. 22, no. 13, pp. 1585–1592, 2006.
Larusso, N. D., B. E. Ruttenberg, and A. K. Singh, "A Latent Parameter Node-Centric Model for Spatial Networks", CoRR, vol. abs/1210.4246, 2012.
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.
Ye, W., O. Askarisichani, A. T. Jones, and A. K. Singh, "Learning Deep Graph Representations via Convolutional Neural Networks", IEEE Trans. Knowl. Data Eng., vol. 34, pp. 2268–2279, 2022.
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.
Medya, S., P. Bogdanov, and A. Singh, "Making a Small World Smaller: Path Optimization in Networks", IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018.
Ranu, S., and A. K. Singh, "Mining Statistically Significant Molecular Substructures for Efficient Molecular Classification", Journal of Chemical Information and Modeling, vol. 49, no. 11, pp. 2537–2550, 2009.
Ye, W., F. Bullo, N. E. Friedkin, and A. K. Singh, "Modeling Human-AI Team Decision Making", CoRR, vol. abs/2201.02759, 2022.
Bogdanov, P., M. Busch, J. Moehlis, A. K. Singh, and B. K. Szymanski, "Modeling individual topic-specific behavior and influence backbone networks in social media", Social Netw. Analys. Mining, vol. 4, no. 1, pp. 204, 2014.
Laos, V., D. Bishop, C. A. Lang, N. M. Marsh, K. Lazar Cantrell, S. K. Buratto, A. K. Singh, and M. T. Bowers, "Modulating ALS-Related Amyloidogenic TDP-43307–319 Oligomeric Aggregates with Computationally Derived Therapeutic Molecules", Biochemistry, vol. 59, pp. 499–508, 2019.
Bogdanov, P., and A. K. Singh, "Molecular Function Prediction Using Neighborhood Features", {IEEE/ACM} Trans. Comput. Biology Bioinform., vol. 7, no. 2, pp. 208–217, 2010.
Singh, V., and A. K. Singh, "Nearest Keyword Set Search in Multi-dimensional Datasets", CoRR, vol. abs/1409.3867, 2014.
Singh, V., B. Zong, and A. K. Singh, "Nearest Keyword Set Search in Multi-Dimensional Datasets", {IEEE} Trans. Knowl. Data Eng., vol. 28, pp. 741–755, 2016.
Ranu, S., and A. K. Singh, "Novel Method for Pharmacophore Analysis by Examining the Joint Pharmacophore Space", Journal of Chemical Information and Modeling, vol. 51, no. 5, pp. 1106–1121, 2011.
Bulut, A., N. Koudas, A. Meka, A. K. Singh, and D. Srivastava, "Optimization Techniques for Reactive Network Monitoring", {IEEE} Trans. Knowl. Data Eng., vol. 21, no. 9, pp. 1343–1357, 2009.
Kahveci, T., and A. K. Singh, "Optimizing Similarity Search for Arbitrary Length Time Series Queries", {IEEE} Trans. Knowl. Data Eng., vol. 16, no. 4, pp. 418–433, 2004.
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.
Amelkin, V., F. Bullo, and A. K. Singh, "Polar Opinion Dynamics in Social Networks", IEEE Transactions on Automatic Control (TAC), 2017.
Chipman, K. C., and A. K. Singh, "Predicting genetic interactions with random walks on biological networks", {BMC} Bioinformatics, vol. 10, 2009.
Askarisichani, O., F. Bullo, N. E. Friedkin, and A. K. Singh, "Predictive models for human–AI nexus in group decision making", Annals of the New York Academy of Sciences, vol. 1514, pp. 70–81, 2022.
Singh, V., and A. K. Singh, "Profile Based Sub-Image Search in Image Databases", CoRR, vol. abs/1010.1496, 2010.
Kahveci, T., and A. K. Singh, "Progressive Searching of Biological Sequences", {IEEE} Data Eng. Bull., vol. 27, no. 3, pp. 32–39, 2004.
Ruttenberg, B. E., G. Luna, G. P. Lewis, S. K. Fisher, and A. K. Singh, "Quantifying spatial relationships from whole retinal images", Bioinformatics, vol. 29, no. 7, pp. 940–946, 2013.
Singh, A. K., "Querying and Mining Biological Databases", {OMICS}, vol. 7, no. 1, pp. 7–8, 2003.
Macropol, K., T. Can, and A. K. Singh, "RRW: repeated random walks on genome-scale protein networks for local cluster discovery", {BMC} Bioinformatics, vol. 10, pp. 283, 2009.
Macropol, K., and A. K. Singh, "Scalable Discovery of Best Clusters on Large Graphs", {PVLDB}, vol. 3, no. 1, pp. 693–702, 2010.
Shahriari, M., O. Askarisich Sichani, J. Gharibshah, and M. Jalili, "Sign prediction in social networks based on users reputation and optimism", Social Network Analysis and Mining, vol. 6, pp. 91, 2016.
Bogdanov, P., M. Busch, J. Moehlis, A. K. Singh, and B. K. Szymanski, "The Social Media Genome: Modeling Individual Topic-Specific Behavior in Social Media", CoRR, vol. abs/1307.0309, 2013.
Hallgrímsson, H. T., M. Cieslak, L. Foschini, S. T. Grafton, and A. K. Singh, "Spatial coherence of oriented white matter microstructure: Applications to white matter regions associated with genetic similarity", NeuroImage, 2018.
Kahveci, T., V. Ljosa, and A. K. Singh, "Speeding up whole-genome alignment by indexing frequency vectors", Bioinformatics, vol. 20, no. 13, pp. 2122–2134, 2004.
Wu, J., Z. Guan, Q. Zhang, A. K. Singh, and X. Yan, "Static and Dynamic Structural Correlations in Graphs", {IEEE} Trans. Knowl. Data Eng., vol. 25, no. 9, pp. 2147–2160, 2013.
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.
Kang, B., H. Wright, T. Höllerer, A. K. Singh, and J. O’Donovan, "Through the Grapevine: A Comparison of News in Microblogs and Traditional Media", Trends in Social Network Analysis: Information Propagation, User Behavior Modeling, Forecasting, and Vulnerability Assessment, pp. 135–168, 2017.
Ciftcioglu, E. Necdet, S. Pal, K. S. Chan, D. H. Cansever, A. Swami, A. K. Singh, and P. Basu, "Topology Design Games and Dynamics in Adversarial Environments", IEEE Journal on Selected Areas in Communications, vol. 35, pp. 628–642, 2017.
Ye, W., Z. Wang, R. Redberg, and A. K. Singh, "Tree++: Truncated Tree Based Graph Kernels", IEEE Trans. Knowl. Data Eng., vol. 33, pp. 1778–1789, 2021.
Chipman, K. C., and A. K. Singh, "Using Stochastic Causal Trees to Augment Bayesian Networks for Modeling eQTL Datasets", {BMC} Bioinformatics, vol. 12, pp. 7, 2011.
Presentation
Amelkin, V., O. Askarisichani, Y. Ji Kim, T. W. Malone, and A. K. Singh, "Dynamics of Collective Performance in Collaboration Networks", XXXVI International Sunbelt Conference, Newport Beach, California, US, International Network for Social Network Analysis (INSNA), 2016.

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