Publications

Found 188 results
Author Title Type [ Year(Asc)]
2023
Kosan, M., L. He, S. Agrawal, H. Liu, and C. Chetia, "AI Decision Systems with Feedback Loop Active Learner", WSDM Crowd Science Workshop, 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.
Luong, K-D., and A. Singh, "Fragment-based Pretraining and Finetuning on Molecular Graphs", Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.
Kosan, M., Z. Huang, S. Medya, S. Ranu, and A. Singh, "Global Counterfactual Explainer for Graph Neural Networks", Web Search and Data Mining (WSDM), 02/2023.
Kosan, M., A. Silva, S. Medya, B. Uzzi, and A. Singh, "Graph Macro Dynamics with Self-Attention for Event Detection", Deep Learning on Graphs: Methods and Applications (DLG-AAAI), 02/2023.
Sharma, S., Y. Xian, N. Yu, and A. Singh, "Learning Prototype Classifiers for Long-Tailed Recognition", Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023, 19th-25th August 2023, Macao, SAR, China: ijcai.org, 2023.
2022
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.
Lin, S., S. Tang, S. T. Grafton, and A. K. Singh, "Deep Representations for Time-varying Brain Datasets", KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022: ACM, 2022.
Kocayusufoglu, F., A. Silva, and A. K. Singh, "FlowGEN: A Generative Model for Flow Graphs", KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022: ACM, 2022.
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., 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.
Lin, S., T. Sprague, and A. K. Singh, "Mind Reader: Reconstructing complex images from brain activities", Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), 2022.
Ye, W., F. Bullo, N. E. Friedkin, and A. K. Singh, "Modeling Human-AI Team Decision Making", CoRR, vol. abs/2201.02759, 2022.
Kocayusufoglu, F., T. Wu, A. Singh, G. Roumpos, H-T. Cheng, S. Jain, E. H. Chi, and A. K. Singh, "Multi-Resolution Attention for Personalized Item Search", WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022: ACM, 2022.
Huang, Z., A. Silva, and A. K. Singh, "POLE: Polarized Embedding for Signed Networks", WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022: ACM, 2022.
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.
2021
Huang, Z., A. Silva, and A. K. Singh, "A Broader Picture of Random-walk Based Graph Embedding", KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, August 14-18, 2021: ACM, 2021.
Silva, A., F. Kocayusufoglu, S. Jafarpour, F. Bullo, A. Swami, and A. K. Singh, "Combining Physics and Machine Learning for Network Flow Estimation", 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021: OpenReview.net, 2021.
Silva, A., and A. Singh, "Group Testing on a Network", AAAI Conference on Artificial Intelligence, 2021.
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.
You, H., S. Lin, and A. Singh, "Learning Interpretable Models for Coupled Networks Under Domain Constraints", AAAI Conference on Artificial Intelligence (AAAI-21), 2021.
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.
2020
Askarisichani, O., A. K. Singh, F. Bullo, and N. E. Friedkin, "The 1995-2018 global evolution of the network of amicable and hostile relations among nation-states", Communications Physics, vol. 3, issue 1, 11/2020.
Medya, S., A. Silva, and A. Singh, "Approximate Algorithms for Data-driven Influence Limitation", IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.
You, H., F. Kocayusufoglu, and A. Singh, "DANR: Discrepancy-aware Network Regularization", SIAM International Conference on Data Mining (SDM), 2020.
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.
Medya, S., T. Ma, A. Silva, and A. K. Singh, "A Game Theoretic Approach For Core Resilience", IJCAI, 2020.
Medya, S., T. Ma, A. Silva, and A. Singh, "A Game Theoretic Approach For k-Core Minimization ", AAMAS, 2020.
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.
Ye, W., D. Mautz, C. Boehm, A. Singh, and C. Plant, "Incorporating User's Preference into Attributed Graph Clustering", IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.
Ye, W., O. Askarisichani, A. Jones, and A. Singh, "Learning Deep Graph Representations via Convolutional Neural Networks", IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.
Borji, A., and S. Lin, "White Noise Analysis of Neural Networks", International Conference on Learning Representations (ICLR), 2020.
2019
Amelkin, V., P. Bogdanov, and A. K. Singh, "A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks", ACM Transactions on Knowledge Discovery from Data (TKDD), 2019.
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.
Amelkin, V., and A. K. Singh, "Fighting Opinion Control in Social Networks via Link Recommendation", ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'19), Anchorage, AK, USA, ACM, 08/2019.
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.
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, 2019.
Schibler, T., A. K. Singh, and S. Suri, "On Multi-Dimensional Team Formation", Proceedings of the 31st Canadian Conference on Computational Geometry, CCCG 2019, August 8-10, 2019, University of Alberta, Edmonton, Alberta, Canada, 2019.
Askarisichani, O., J. Ng Lane, F. Bullo, N. E. Friedkin, A. K. Singh, and B. Uzzi, "Structural Balance Emerges and Explains Performance in Risky Decision-Making", Nature Communications, vol. 10, issue 1, 06/2019.
Ye, W., Z. Wang, R. Redberg, and A. Singh, "Tree++: Truncated Tree Based Graph Kernels", IEEE Transactions on Knowledge and Data Engineering (TKDE), 2019.
2018
Amelkin, V., O. Askarisichani, Y. Ji Kim, T. W. Malone, and A. K. Singh, "Dynamics of Collective Performance in Collaboration Networks", PLOS ONE, vol. 13, pp. 1-31, 10, 2018.
Medya, S., A. Silva, A. Singh, P. Basu, and A. Swami, "Group centrality maximization via network design", SIAM International Conference on Data Mining (SDM), 2018.
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.
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.
Medya, S., J. Vachery, S. Ranu, and A. Singh, "Noticeable Network Delay Minimization via Node Upgrades", International Conference on Very Large Data Bases (VLDB), 2018.
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.
Silva, A., A. Singh, and A. Swami, " Spectral Algorithms for Temporal Graph Cuts", The Web Conference (WWW), 2018.
Kocayusufoglu, F., M. X. Hoang, and A. K. Singh, "Summarizing Network Processes with Network-constrained Boolean Matrix Factorization", IEEE International Conference on Data Mining (ICDM), 2018.
2017
Amelkin, V., P. Bogdanov, and A. K. Singh, "A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks", IEEE International Conference on Data Engineering (ICDE), San Diego, California, US, IEEE, 04/2017.
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.
Askarisichani, O., and M. Jalili, "Inference of hidden social power through opinion formation in complex networks", IEEE Transactions on Network Science and Engineering (TSNE), vol. 4, issue 3, pp. 164, 07/2017.
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.
Jones, A. T., N. E. Friedkin, and A. K. Singh, "Modeling the Co-evolution of Committee Formation and Awareness Networks in Organizations", Complex Networks & Their Applications VI - Proceedings of Complex Networks 2017 (The Sixth International Conference on Complex Networks and Their Applications), COMPLEX NETWORKS 2017, Lyon, France, November 29 - December 1, 2017: Springer, 2017.
Amelkin, V., F. Bullo, and A. K. Singh, "Polar Opinion Dynamics in Social Networks", 32'nd Southern California Control Workshop, Caltech, 04/2017.
Amelkin, V., F. Bullo, and A. K. Singh, "Polar Opinion Dynamics in Social Networks", IEEE Transactions on Automatic Control (TAC), 2017.
Medya, S., L. Cherkasova, and A. K. Singh, "Predictive Modeling and Scalability Analysis for Large Graph Analytics", IFIP/IEEE International Symposium on Integrated Network Management, {IM} 2017, 8-12 May, Lisbon, Portugal, 2017.
Stück, D., H. T. Hallgrímsson, G. Ver Steeg, A. Epasto, and L. Foschini, "The Spread of Physical Activity Through Social Networks", Proceedings of the 26th International Conference on World Wide Web: ACM, 2017.
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.
2016
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.
Hoang, M. X., Y. Zheng, and A. K. Singh, "FCCF: forecasting citywide crowd flows based on big data", Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems: ACM, 2016.
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.
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.
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.
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.
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.
Ciftcioglu, E. N., S. Pal, K. S. Chan, D. H. Cansever, A. Swami, A. K. Singh, and P. Basu, "Topology design under adversarial dynamics", 14th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2016, Tempe, AZ, USA, May 9-13, 2016, 2016.
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.
2015
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.
Ribeiro, B., M. X. Hoang, and A. K. Singh, "Beyond Models: Forecasting Complex Network Processes Directly from Data", Proceedings of the 24th International Conference on World Wide Web, {WWW} 2015, Florence, Italy, May 18-22, 2015, pp. 885–895, 2015.
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.
Amelkin, V., P. Bogdanov, and A. K. Singh, "A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks", arXiv:1510.05058 [cs.SI], 10/2015.
Zong, B., C. Gkantsidis, and M. Vojnovic, "Herding "small" streaming queries", Proceedings of the 9th {ACM} International Conference on Distributed Event-Based Systems, {DEBS} '15, Oslo, Norway, June 29 - July 3, 2015, 2015.
Silva, A., P. Bogdanov, and A. K. Singh, "Hierarchical in-network attribute compression via importance sampling", 31st {IEEE} International Conference on Data Engineering, {ICDE} 2015, Seoul, South Korea, April 13-17, 2015, pp. 951–962, 2015.
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.
2014
Ranu, S., M. X. Hoang, and A. K. Singh, "Answering top-k representative queries on graph databases", International Conference on Management of Data, {SIGMOD} 2014, Snowbird, UT, USA, June 22-27, 2014, pp. 1163–1174, 2014.
Ranu, S., M. X. Hoang, and A. K. Singh, "Applications of Top-k Representative Queries", Proceedings of the Sixth Workshop on Semantic Web Information Management, {SWIM} 2014, Snowbird, UT, USA, June 22-27, 2014, pp. 40:1–40:2, 2014.
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., R. Raghavendra, M. Srivatsa, X. Yan, A. K. Singh, and K-W. Lee, "Cloud service placement via subgraph matching", {IEEE} 30th International Conference on Data Engineering, Chicago, {ICDE} 2014, IL, USA, March 31 - April 4, 2014, pp. 832–843, 2014.
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.
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.
Singh, V., and A. K. Singh, "Nearest Keyword Set Search in Multi-dimensional Datasets", CoRR, vol. abs/1409.3867, 2014.
Hoang, M. X., R. Ramanathan, and A. K. Singh, "Structure and evolution of missed collaborations in large networks", 2014 Proceedings {IEEE} {INFOCOM} Workshops, Toronto, ON, Canada, April 27 - May 2, 2014, pp. 849–854, 2014.
Zong, B., Y. Wu, J. Song, A. K. Singh, H. \ cCam, J. Han, and X. Yan, "Towards scalable critical alert mining", The 20th {ACM} {SIGKDD} International Conference on Knowledge Discovery and Data Mining, {KDD} '14, New York, NY, {USA} - August 24 - 27, 2014, pp. 1057–1066, 2014.
2013
Bogdanov, P., and A. K. Singh, "Accurate and scalable nearest neighbors in large networks based on effective importance", 22nd {ACM} International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013, pp. 1009–1018, 2013.
Bogdanov, P., B. Baumer, P. Basu, A. Bar-Noy, and A. K. Singh, "As Strong as the Weakest Link: Mining Diverse Cliques in Weighted Graphs", Machine Learning and Knowledge Discovery in Databases - European Conference, {ECML} {PKDD} 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part {I}, pp. 525–540, 2013.
Larusso, N. D., and A. K. Singh, "Efficient tracking and querying for coordinated uncertain mobile objects", 29th {IEEE} International Conference on Data Engineering, {ICDE} 2013, Brisbane, Australia, April 8-12, 2013, pp. 182–193, 2013.
Macropol, K., P. Bogdanov, A. K. Singh, L. R. Petzold, and X. Yan, "I act, therefore I judge: network sentiment dynamics based on user activity change", Advances in Social Networks Analysis and Mining 2013, {ASONAM} '13, Niagara, ON, Canada - August 25 - 29, 2013, pp. 396–402, 2013.
Ranu, S., M. X. Hoang, and A. K. Singh, "Mining discriminative subgraphs from global-state networks", The 19th {ACM} {SIGKDD} International Conference on Knowledge Discovery and Data Mining, {KDD} 2013, Chicago, IL, USA, August 11-14, 2013, pp. 509–517, 2013.
Mongiov\`ı, M., P. Bogdanov, and A. K. Singh, "Mining Evolving Network Processes", 2013 {IEEE} 13th International Conference on Data Mining, Dallas, TX, USA, December 7-10, 2013, pp. 537–546, 2013.
Bogdanov, P., C. Faloutsos, M. Mongiov\`ı, E. E. Papalexakis, R. Ranca, and A. K. Singh, "NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks", Proceedings of the 13th {SIAM} International Conference on Data Mining, May 2-4, 2013. Austin, Texas, {USA.}, pp. 28–36, 2013.
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.
Larusso, N. D., and A. K. Singh, "Sensing for Mobile Objects", Managing and Mining Sensor Data, pp. 299–348, 2013.
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", Advances in Social Networks Analysis and Mining 2013, {ASONAM} '13, Niagara, ON, Canada - August 25 - 29, 2013, pp. 236–242, 2013.
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.
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.
2012
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.

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