Publications

2024

  1. Application of Transformers in Cheminformatics
    Luong, K-D, and Singh, A.
    Journal of Chemical Information and Modeling May, 2024
  2. DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization
    Bhowmick, A., Kosan, M., Huang, Z., Singh, A., and Medya, S.
    In The 38th Annual AAAI Conference on Artificial Intelligence (AAAI’24) May, 2024
  3. Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning
    Wang, D., Antoniades, A., Luong, K-D., Zhang, E., Kosan, M., Li, J., Singh, A., Wang, W. Yang, and Li, L.
    In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining May, 2024
  4. GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking
    Kosan, M., Verma, S., Armgaan, B., Pahwa, K., Singh, A., Medya, S., and Ranu, S.
    In The Twelfth International Conference on Learning Representations (ICLR) May, 2024
  5. Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees
    Jaffe, S., Davydov, A., Lapsekili, D., Singh, A. K., and Bullo, F.
    CoRR May, 2024

2023

  1. AI Decision Systems with Feedback Loop Active Learner
    Kosan, M., He, L., Agrawal, S., Liu, H., and Chetia, C.
    In WSDM Crowd Science Workshop May, 2023
  2. Computationally Designed Molecules Modulate ALS-Related Amyloidogenic TDP-43307–319 Aggregation
    Liu, X., Duan, S., Jin, Y., Walker, E., Tsao, M., Jang, J. H., Chen, Z., Singh, A. K., Lazar Cantrell, K., Ingolfsson, H. I., and others,
    ACS Chemical Neuroscience May, 2023
  3. Computationally designed small molecules disassemble both soluble oligomers and protofibrils of amyloid β-protein responsible for Alzheimer’s disease
    Jin, Y., Downey, M. A., Singh, A., Buratto, S. K., and Bowers, M. T.
    ACS Chemical Neuroscience May, 2023
  4. Feature-based Individual Fairness in k-Clustering
    Kar, D., Kosan, M., Medya, S., Mandal, D., Silva, A., Dey, P., and Sanyal, S.
    In International Conference on Autonomous Agents and Multiagent Systems (AAMAS Extended Abstract) May, 2023
  5. Fragment-based Pretraining and Finetuning on Molecular Graphs
    Luong, K-D., and Singh, A.
    In Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) May, 2023
  6. Global Counterfactual Explainer for Graph Neural Networks
    Kosan, M., Huang, Z., Medya, S., Ranu, S., and Singh, A.
    In Web Search and Data Mining (WSDM) Feb, 2023
  7. Graph Macro Dynamics with Self-Attention for Event Detection
    Kosan, M., Silva, A., Medya, S., Uzzi, B., and Singh, A.
    In Deep Learning on Graphs: Methods and Applications (DLG-AAAI) Feb, 2023
  8. Inference of Infrastructure Network Flows via Physics-Inspired Implicit Neural Networks
    Seccamonte, F., Singh, A. K., and Bullo, F.
    In IEEE Conference on Control Technology and Applications, CCTA 2023 Aug, 2023
  9. Learning Prototype Classifiers for Long-Tailed Recognition
    Sharma, S., Xian, Y., Yu, N., and Singh, A.
    In Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023 Aug, 2023

2022

  1. Approximate Algorithms for Data-Driven Influence Limitation
    Medya, S., Silva, A., and Singh, A. K.
    IEEE Trans. Knowl. Data Eng. Aug, 2022
  2. Deep Representations for Time-varying Brain Datasets
    Lin, S., Tang, S., Grafton, S. T., and Singh, A. K.
    In KDD ’22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Aug, 2022
  3. FlowGEN: A Generative Model for Flow Graphs
    Kocayusufoglu, F., Silva, A., and Singh, A. K.
    In KDD ’22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Aug, 2022
  4. Graph Neural Diffusion Networks for Semi-supervised Learning
    Ye, W., Huang, Z., Hong, Y., and Singh, A. K.
    CoRR Aug, 2022
  5. Incorporating Heterophily into Graph Neural Networks for Graph Classification
    Ye, W., Yang, J., Medya, S., and Singh, A. K.
    CoRR Aug, 2022
  6. Learning Deep Graph Representations via Convolutional Neural Networks
    Ye, W., Askarisichani, O., Jones, A. T., and Singh, A. K.
    IEEE Trans. Knowl. Data Eng. Aug, 2022
  7. Mind Reader: Reconstructing complex images from brain activities
    Lin, S., Sprague, T., and Singh, A. K.
    In Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) Aug, 2022
  8. Modeling Human-AI Team Decision Making
    Ye, W., Bullo, F., Friedkin, N. E., and Singh, A. K.
    CoRR Aug, 2022
  9. Multi-Resolution Attention for Personalized Item Search
    Kocayusufoglu, F., Wu, T., Singh, A., Roumpos, G., Cheng, H-T., Jain, S., Chi, E. H., and Singh, A. K.
    In WSDM ’22: The Fifteenth ACM International Conference on Web Search and Data Mining Feb, 2022
  10. POLE: Polarized Embedding for Signed Networks
    Huang, Z., Silva, A., and Singh, A. K.
    In WSDM ’22: The Fifteenth ACM International Conference on Web Search and Data Mining Feb, 2022
  11. Predictive models for human–AI nexus in group decision making
    Askarisichani, O., Bullo, F., Friedkin, N. E., and Singh, A. K.
    Annals of the New York Academy of Sciences Feb, 2022

2021

  1. Group Testing on a Network
    Silva, A., and Singh, A.
    In AAAI Conference on Artificial Intelligence Feb, 2021
  2. Incorporating User’s Preference into Attributed Graph Clustering
    Ye, W., Mautz, D., Böhm, C., Singh, A. K., and Plant, C.
    IEEE Trans. Knowl. Data Eng. Feb, 2021
  3. Tree++: Truncated Tree Based Graph Kernels
    Ye, W., Wang, Z., Redberg, R., and Singh, A. K.
    IEEE Trans. Knowl. Data Eng. Feb, 2021

2020

  1. Approximate Algorithms for Data-driven Influence Limitation
    Medya, S., Silva, A., and Singh, A.
    IEEE Transactions on Knowledge and Data Engineering (TKDE) Feb, 2020
  2. DANR: Discrepancy-aware Network Regularization
    You, H., Kocayusufoglu, F., and Singh, A.
    In SIAM International Conference on Data Mining (SDM) Feb, 2020
  3. Expertise and confidence explain how social influence evolves along intellective tasks
    Askarisichani, O., Huang, E. Y., Sato, K. S., Friedkin, N. E., Bullo, F., and Singh, A. K.
    CoRR Feb, 2020
  4. A Game Theoretic Approach For Core Resilience
    Medya, S., Ma, T., Silva, A., and Singh, A.
    In IJCAI Feb, 2020
  5. A Game Theoretic Approach For k-Core Minimization
    Medya, S., Ma, T., Silva, A., and Singh, A.
    In AAMAS Feb, 2020
  6. GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs
    Manchanda, S., Mittal, A., Dhawan, A., Medya, S., Ranu, S., and Singh, A.
    In Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS) Feb, 2020

2019

  1. Estimating localized complexity of white-matter wiring with GANs
    Hallgrímsson, H. T., Sharan, R., Grafton, S. T., and Singh, A. K.
    Medical Imaging meets NeurIPS Feb, 2019
  2. Modulating ALS-Related Amyloidogenic TDP-43307–319 Oligomeric Aggregates with Computationally Derived Therapeutic Molecules
    Laos, V., Bishop, D., Lang, C. A., Marsh, N. M., Lazar Cantrell, K., Buratto, S. K., Singh, A. K., and Bowers, M. T.
    Biochemistry Feb, 2019

2018

  1. Group centrality maximization via network design
    Medya, S., Silva, A., Singh, A. K., Basu, P., and Swami, A.
    In SIAM International Conference on Data Mining (SDM) Feb, 2018
  2. Inhibiting and remodeling toxic amyloid-beta oligomer formation using a computationally designed drug molecule that targets Alzheimer’s disease
    Downey, M. A., Giammona, M. J., Lang, C. A., Buratto, S. K., Singh, A., and Bowers, M. T.
    Journal of The American Society for Mass Spectrometry Feb, 2018
  3. Learning Multiclassifiers with Predictive Features that Vary with Data Distribution
    Dang, X-H., Askarisichani, O., and Singh, A. K.
    In IEEE International Conference on Big Data (IEEE BigData 2018) Dec, 2018
  4. Making a Small World Smaller: Path Optimization in Networks
    Medya, S., Bogdanov, P., and Singh, A. K.
    IEEE Transactions on Knowledge and Data Engineering (TKDE) Dec, 2018
  5. Noticeable Network Delay Minimization via Node Upgrades
    Medya, S., Vachery, J., Ranu, S., and Singh, A.
    In International Conference on Very Large Data Bases (VLDB) Dec, 2018
  6. Spatial coherence of oriented white matter microstructure: Applications to white matter regions associated with genetic similarity
    Hallgrímsson, H. T., Cieslak, M., Foschini, L., Grafton, S. T., and Singh, A. K.
    NeuroImage Dec, 2018

2017

  1. A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks
    Amelkin, V., Bogdanov, P., and Singh, A. K.
    In IEEE International Conference on Data Engineering (ICDE) Apr, 2017
  2. GPOP: Scalable Group-level Popularity Prediction for Online Content in Social Networks
    Hoang, M. X., Dang, X-H., Wu, X., Yan, Z., and Singh, A. K.
    In Proceedings of the 26th International Conference on World Wide Web Apr, 2017
  3. Learning about learning: Mining human brain sub-network biomarkers from fMRI data
    Bogdanov, P., Dereli, N., Dang, X-H., Bassett, D. S., Wymbs, N. F., Grafton, S. T., and Singh, A. K.
    PLoS one Apr, 2017
  4. Polar Opinion Dynamics in Social Networks
    Amelkin, V., Bullo, F., and Singh, A. K.
    IEEE Transactions on Automatic Control (TAC) Apr, 2017
  5. Predictive Modeling and Scalability Analysis for Large Graph Analytics
    Medya, S., Cherkasova, L., and Singh, A. K.
    In IFIP/IEEE International Symposium on Integrated Network Management, IM 2017 May, 2017
  6. The Spread of Physical Activity Through Social Networks
    Stück, D., Hallgrímsson, H. T., Ver Steeg, G., Epasto, A., and Foschini, L.
    In Proceedings of the 26th International Conference on World Wide Web: ACM May, 2017
  7. Subnetwork Mining with Spatial and Temporal Smoothness
    Dang, X., Hong, H., You, A. K., and Grafton, S.
    In SIAM international conference on data mining (SDM) May, 2017
  8. Through the Grapevine: A Comparison of News in Microblogs and Traditional Media
    Kang, B., Wright, H., Höllerer, T., Singh, A. K., and O’Donovan, J.
    May, 2017

2016

  1. Dynamics of Collective Performance in Collaboration Networks
    Amelkin, V., Askarisichani, O., Kim, Y. Ji, Malone, T. W., and Singh, A. K.
    In XXXVI International Sunbelt Conference May, 2016
  2. FCCF: forecasting citywide crowd flows based on big data
    Hoang, M. X., Zheng, Y., and Singh, A. K.
    In Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems: ACM May, 2016
  3. Graph Wavelets via Sparse Cuts
    Silva, A., Hong, X. Dang, Basu, P., Singh, A., and Swami, A.
    In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining May, 2016
  4. Inferring causal molecular networks: empirical assessment through a community-based effort
    Hill, S. M., Heiser, L. M., Cokelaer, T., Unger, M., Nesser, N. K., Carlin, D. E., Zhang, Y., Sokolov, A., Paull, E. O., Wong, C. K., and others,
    Nature methods May, 2016
  5. Nearest Keyword Set Search in Multi-Dimensional Datasets
    Singh, V., Zong, B., and Singh, A. K.
    IEEE Trans. Knowl. Data Eng. May, 2016
  6. Outlier Detection from Network Data with Subnetwork Interpretation
    Dang, X., Hong, H., You, P. Bogdanov, and Singh, A. K.
    In IEEE International Conference Data Mining (ICDM) May, 2016
  7. Sign prediction in social networks based on users reputation and optimism
    Shahriari, M., Askarisichani, O. Sichani, Gharibshah, J., and Jalili, M.
    Social Network Analysis and Mining May, 2016
  8. Topology design under adversarial dynamics
    Ciftcioglu, E. N., Pal, S., Chan, K. S., Cansever, D. H., Swami, A., Singh, A. K., and Basu, P.
    In 14th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2016 May, 2016
  9. Towards Scalable Network Delay Minimization
    Medya, S., Bogdanov, P., and Singh, A. K.
    In IEEE 16th International Conference on Data Mining, ICDM 2016 Dec, 2016

2015

  1. Behavior Query Discovery in System-Generated Temporal Graphs
    Zong, B., Xiao, X., Li, Z., Wu, Z., Qian, Z., Yan, X., Singh, A. K., and Jiang, G.
    PVLDB Dec, 2015
  2. Beyond Models: Forecasting Complex Network Processes Directly from Data
    Ribeiro, B., Hoang, M. X., and Singh, A. K.
    In Proceedings of the 24th International Conference on World Wide Web, WWW 2015 May, 2015
  3. Discovery of LRRK2 inhibitors using sequential in silico joint pharmacophore space (JPS) and ensemble docking
    Lang, C. A., Ray, S. S., Liu, M., Singh, A. K., and Cuny, G. D.
    Bioorganic & medicinal chemistry letters May, 2015
  4. Herding "small" streaming queries
    Zong, B., Gkantsidis, C., and Vojnovic, M.
    In Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems, DEBS ’15 Jun, 2015
  5. Hierarchical in-network attribute compression via importance sampling
    Silva, A., Bogdanov, P., and Singh, A. K.
    In 31st IEEE International Conference on Data Engineering, ICDE 2015 Apr, 2015
  6. Learning Predictive Substructures with Regularization for Network Data
    Dang, X., Hong, H., You, P. Bogdanov, and Singh, A. K.
    In Data Mining (ICDM), 2015 IEEE International Conference on Apr, 2015

2014

  1. Answering top-k representative queries on graph databases
    Ranu, S., Hoang, M. X., and Singh, A. K.
    In International Conference on Management of Data, SIGMOD 2014 Jun, 2014
  2. Applications of Top-k Representative Queries
    Ranu, S., Hoang, M. X., and Singh, A. K.
    In Proceedings of the Sixth Workshop on Semantic Web Information Management, SWIM 2014 Jun, 2014
  3. Base motif recognition and design of DNA templates for fluorescent silver clusters by machine learning
    Copp, S. M., Bogdanov, P., Debord, M., Singh, A., and Gwinn, E.
    Advanced Materials Jun, 2014
  4. Cloud service placement via subgraph matching
    Zong, B., Raghavendra, R., Srivatsa, M., Yan, X., Singh, A. K., and Lee, K-W.
    In IEEE 30th International Conference on Data Engineering, Chicago, ICDE 2014 Mar, 2014
  5. On Critical Event Observability Using Social Networks: A Disaster Monitoring Perspective
    Nguyen, D-A., Abdelzaher, T., Borbash, S., Dang, X-H., Ganti, R., Singh, A., and Srivatsa, M.
    In Military Communications Conference (MILCOM), 2014 IEEE Mar, 2014
  6. Discriminative Subnetworks with Regularized Spectral Learning for Global-State Network Data
    Dang, X., Hong, H., Singh, A. K., Bogdanov, P., You, H., and Hsu, B.
    In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014 Sep, 2014
  7. Modeling individual topic-specific behavior and influence backbone networks in social media
    Bogdanov, P., Busch, M., Moehlis, J., Singh, A. K., and Szymanski, B. K.
    Social Netw. Analys. Mining Sep, 2014
  8. Nearest Keyword Set Search in Multi-dimensional Datasets
    Singh, V., and Singh, A. K.
    CoRR Sep, 2014
  9. Structure and evolution of missed collaborations in large networks
    Hoang, M. X., Ramanathan, R., and Singh, A. K.
    In 2014 Proceedings IEEE INFOCOM Workshops Apr, 2014
  10. Towards scalable critical alert mining
    Zong, B., Wu, Y., Song, J., Singh, A. K., Cam, H., Han, J., and Yan, X.
    In The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD ’14 Aug, 2014

2013

  1. Accurate and scalable nearest neighbors in large networks based on effective importance
    Bogdanov, P., and Singh, A. K.
    In 22nd ACM International Conference on Information and Knowledge Management, CIKM’13 Oct, 2013
  2. As Strong as the Weakest Link: Mining Diverse Cliques in Weighted Graphs
    Bogdanov, P., Baumer, B., Basu, P., Bar-Noy, A., and Singh, A. K.
    In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2013 Sep, 2013
  3. Efficient tracking and querying for coordinated uncertain mobile objects
    Larusso, N. D., and Singh, A. K.
    In 29th IEEE International Conference on Data Engineering, ICDE 2013 Apr, 2013
  4. I act, therefore I judge: network sentiment dynamics based on user activity change
    Macropol, K., Bogdanov, P., Singh, A. K., Petzold, L. R., and Yan, X.
    In Advances in Social Networks Analysis and Mining 2013, ASONAM ’13 Aug, 2013
  5. Mining discriminative subgraphs from global-state networks
    Ranu, S., Hoang, M. X., and Singh, A. K.
    In The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013 Aug, 2013
  6. Mining Evolving Network Processes
    Mongiovì, M., Bogdanov, P., and Singh, A. K.
    In 2013 IEEE 13th International Conference on Data Mining, Dallas, TX, USA Dec, 2013
  7. NetSpot: Spotting Significant Anomalous Regions on Dynamic Networks
    Bogdanov, P., Faloutsos, C., Mongiovì, M., Papalexakis, E. E., Ranca, R., and Singh, A. K.
    In Proceedings of the 13th SIAM International Conference on Data Mining May, 2013
  8. Quantifying spatial relationships from whole retinal images
    Ruttenberg, B. E., Luna, G., Lewis, G. P., and Fisher, S. K.
    Bioinformatics May, 2013
  9. Sensing for Mobile Objects
    Larusso, N. D., and Singh, A. K.
    May, 2013
  10. The Social Media Genome: Modeling Individual Topic-Specific Behavior in Social Media
    Bogdanov, P., Busch, M., Moehlis, J., Singh, A. K., and Szymanski, B. K.
    CoRR May, 2013
  11. The social media genome: modeling individual topic-specific behavior in social media
    Bogdanov, P., Busch, M., Moehlis, J., Singh, A. K., and Szymanski, B. K.
    Advances in Social Networks Analysis and Mining 2013, ASONAM ’13 Aug, 2013
  12. Static and Dynamic Structural Correlations in Graphs
    Wu, J., Guan, Z., Zhang, Q., Singh, A. K., and Yan, X.
    IEEE Trans. Knowl. Data Eng. Aug, 2013

2012

  1. Bisque: Advances in Bioimage Databases
    Kvilekval, K., Fedorov, D., Gaur, U., Goff, S., Merchant, N., Manjunath, B. S., and Singh, A. K.
    IEEE Data Eng. Bull. Aug, 2012
  2. Efficient multicasting for delay tolerant networks using graph indexing
    Mongiovì, M., Singh, A. K., Yan, X., Zong, B., and Psounis, K.
    In Proceedings of the IEEE INFOCOM 2012 Mar, 2012
  3. Indexing and mining topological patterns for drug discovery
    Ranu, S., and Singh, A. K.
    In 15th International Conference on Extending Database Technology, EDBT ’12 Mar, 2012
  4. Inferring the Underlying Structure of Information Cascades
    Zong, B., Wu, Y., Singh, A. K., and Yan, X.
    CoRR Mar, 2012
  5. Inferring the Underlying Structure of Information Cascades
    Zong, B., Wu, Y., Singh, A. K., and Yan, X.
    In 12th IEEE International Conference on Data Mining, ICDM 2012 Dec, 2012
  6. A Latent Parameter Node-Centric Model for Spatial Networks
    Larusso, N. D., Ruttenberg, B. E., and Singh, A. K.
    CoRR Dec, 2012
  7. Modeling Complex Diseases Using Discriminative Network Fragments - (Invited Keynote Talk)
    Singh, A. K.
    In Bioinformatics Research and Applications - 8th International Symposium, ISBRA 2012 May, 2012
  8. Reachability Analysis and Modeling of Dynamic Event Networks
    Macropol, K., and Singh, A. K.
    In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2012 Sep, 2012
  9. SigSpot: mining significant anomalous regions from time-evolving networks (abstract only)
    Mongiovì, M., Bogdanov, P., Ranca, R., Singh, A. K., Papalexakis, E. E., and Faloutsos, C.
    In Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2012 May, 2012
  10. SIMP: accurate and efficient near neighbor search in high dimensional spaces
    Singh, V., and Singh, A. K.
    15th International Conference on Extending Database Technology, EDBT ’12 Mar, 2012

2011

  1. Analyzing Performance of Lease-Based Schemes under Failures
    Vitenberg, R., Zinenko, D., Kvilekval, K., and Singh, A. K.
    In 30th IEEE Symposium on Reliable Distributed Systems (SRDS 2011) Oct, 2011
  2. Answering Top-k Queries Over a Mixture of Attractive and Repulsive Dimensions
    Ranu, S., and Singh, A. K.
    PVLDB Oct, 2011
  3. Answering Top-k Queries Over a Mixture of Attractive and Repulsive Dimensions
    Ranu, S., and Singh, A. K.
    CoRR Oct, 2011
  4. Assessing and ranking structural correlations in graphs
    Guan, Z., Wu, J., Zhang, Q., Singh, A. K., and Yan, X.
    In Proceedings of the ACM SIGMOD International Conference on Management of Data Oct, 2011
  5. Content-based Modeling and Prediction of Information Dissemination
    Macropol, K., and Singh, A. K.
    In International Conference on Advances in Social Networks Analysis and Mining Oct, 2011
  6. Indexing the Earth Mover’s Distance Using Normal Distributions
    Ruttenberg, B. E., and Singh, A. K.
    PVLDB Oct, 2011
  7. Indexing the Earth Mover’s Distance Using Normal Distributions
    Ruttenberg, B. E., and Singh, A. K.
    CoRR Oct, 2011
  8. Mining Heavy Subgraphs in Time-Evolving Networks
    Bogdanov, P., Mongiò, M., and Singh, A. K.
    In 11th IEEE International Conference on Data Mining Oct, 2011
  9. Novel Method for Pharmacophore Analysis by Examining the Joint Pharmacophore Space
    Ranu, S., and Singh, A. K.
    Journal of Chemical Information and Modeling Oct, 2011
  10. Synopses for probabilistic data over large domains
    Larusso, N. D., and Singh, A. K.
    In EDBT 2011, 14th International Conference on Extending Database Technology Oct, 2011
  11. Using Stochastic Causal Trees to Augment Bayesian Networks for Modeling eQTL Datasets
    Chipman, K. C., and Singh, A. K.
    BMC Bioinformatics Oct, 2011

2010

  1. Bisque: a platform for bioimage analysis and management
    Kvilekval, K., Fedorov, D., Obara, B., Singh, A. K., and Manjunath, B. S.
    Bioinformatics Oct, 2010
  2. Efficient and Robust Detection of Duplicate Videos in a Large Database
    Sarkar, A., Singh, V., Ghosh, P., Manjunath, B. S., and Singh, A. K.
    IEEE Trans. Circuits Syst. Video Techn. Oct, 2010
  3. Finding top-k similar pairs of objects annotated with terms from an ontology
    Bhattacharya, A., Bhowmick, A., and Singh, A. K.
    CoRR Oct, 2010
  4. Finding Top-k Similar Pairs of Objects Annotated with Terms from an Ontology
    Bhattacharya, A., Bhowmick, A., and Singh, A. K.
    In Scientific and Statistical Database Management, 22nd International Conference, SSDBM 2010 Oct, 2010
  5. Geo-clustering of Images with Missing GeoTags
    Singh, V., Venkatesha, S., and Singh, A. K.
    In IEEE International Conference on Granular Computing, GrC 2010 Oct, 2010
  6. Molecular Function Prediction Using Neighborhood Features
    Bogdanov, P., Singh, M., and Singh, A. K.
    IEEE/ACM Trans. Comput. Biology Bioinform. Oct, 2010
  7. Profile Based Sub-Image Search in Image Databases
    Singh, V., and Singh, A. K.
    CoRR Oct, 2010
  8. Query Language and Access Methods for Graph Databases
    He, H., and Singh, A. K.
    Oct, 2010
  9. Querying spatial patterns
    Singh, V., Bhattacharya, A., and Singh, A. K.
    In EDBT 2010, 13th International Conference on Extending Database Technology Oct, 2010
  10. Scalable Discovery of Best Clusters on Large Graphs
    Macropol, K., and Singh, A. K.
    PVLDB Oct, 2010
  11. Towards Community Discovery in Signed Collaborative Interaction Networks
    Bogdanov, P., Larusso, N. D., and Singh, A. K.
    In ICDMW 2010, The 10th IEEE International Conference on Data Mining Workshops Oct, 2010

2009

  1. Accurate and Scalable Techniques for the Complex/Pathway Membership Problem in Protein Networks
    cCamoglu, O., Can, T., and Singh, A. K.
    Adv. Bioinformatics Oct, 2009
  2. Finding Significant Subregions in Large Image Databases
    Singh, V., Bhattacharya, A., and Singh, A. K.
    CoRR Oct, 2009
  3. GraphSig: A Scalable Approach to Mining Significant Subgraphs in Large Graph Databases
    Ranu, S., and Singh, A. K.
    In Proceedings of the 25th International Conference on Data Engineering Oct, 2009
  4. Mining Statistically Significant Molecular Substructures for Efficient Molecular Classification
    Ranu, S., and Singh, A. K.
    Journal of Chemical Information and Modeling Oct, 2009
  5. Optimization Techniques for Reactive Network Monitoring
    Bulut, A., Koudas, N., Meka, A., Singh, A. K., and Srivastava, D.
    IEEE Trans. Knowl. Data Eng. Oct, 2009
  6. Predicting genetic interactions with random walks on biological networks
    Chipman, K. C., and Singh, A. K.
    BMC Bioinformatics Oct, 2009
  7. RRW: repeated random walks on genome-scale protein networks for local cluster discovery
    Macropol, K., Can, T., and Singh, A. K.
    BMC Bioinformatics Oct, 2009

2008

  1. Efficient Computation of Statistical Significance of Query Results in Databases
    Singh, V., Bhattacharya, A., and Singh, A. K.
    In Scientific and Statistical Database Management, 20th International Conference, SSDBM 2008 Oct, 2008
  2. A general modeling and visualization tool for comparing different members of a group: application to studying tau-mediated regulation of microtubule dynamics
    Bhattacharya, A., Levy, S., LeBoeuf, A., Gaylord, M., Wilson, L., Singh, A. K., and Feinstein, S. C.
    BMC Bioinformatics Oct, 2008
  3. Graphs-at-a-time: query language and access methods for graph databases
    He, H., and Singh, A. K.
    In Proceedings of the ACM SIGMOD International Conference on Management of Data Oct, 2008
  4. Top-k Spatial Joins of Probabilistic Objects
    Ljosa, V., and Singh, A. K.
    In Proceedings of the 24th International Conference on Data Engineering Oct, 2008

2007

  1. APLA: Indexing Arbitrary Probability Distributions
    Ljosa, V., and Singh, A. K.
    In Proceedings of the 23rd International Conference on Data Engineering Oct, 2007
  2. Efficient Algorithms for Mining Significant Substructures in Graphs with Quality Guarantees
    He, H., and Singh, A. K.
    In Proceedings of the 7th IEEE International Conference on Data Mining Oct, 2007
  3. Indexing and Querying Data Streams
    Bulut, A., and Singh, A. K.
    Oct, 2007
  4. MIST: Distributed Indexing and Querying in Sensor Networks using Statistical Models
    Bhattacharya, A., Meka, A., and Singh, A. K.
    In Proceedings of the 33rd International Conference on Very Large Data Bases Oct, 2007

2006

  1. Closure-Tree: An Index Structure for Graph Queries
    He, H., and Singh, A. K.
    In Proceedings of the 22nd International Conference on Data Engineering Oct, 2006
  2. Distributed Spatial Clustering in Sensor Networks
    Meka, A., and Singh, A. K.
    In Advances in Database Technology - EDBT 2006, 10th International Conference on Extending Database Technology Oct, 2006
  3. GraphRank: Statistical Modeling and Mining of Significant Subgraphs in the Feature Space
    He, H., and Singh, A. K.
    In Proceedings of the 6th IEEE International Conference on Data Mining Oct, 2006
  4. Indexing Spatially Sensitive Distance Measures Using Multi-resolution Lower Bounds
    Ljosa, V., Bhattacharya, A., and Singh, A. K.
    In Advances in Database Technology - EDBT 2006, 10th International Conference on Extending Database Technology Oct, 2006
  5. Integrating multi-attribute similarity networks for robust representation of the protein space
    cCamoglu, O., Can, T., and Singh, A. K.
    Bioinformatics Oct, 2006
  6. LB-Index: A Multi-Resolution Index Structure for Images
    Ljosa, V., Bhattacharya, A., and Singh, A. K.
    In Proceedings of the 22nd International Conference on Data Engineering Oct, 2006
  7. Probabilistic Segmentation and Analysis of Horizontal Cells
    Ljosa, V., and Singh, A. K.
    In Proceedings of the 6th IEEE International Conference on Data Mining Oct, 2006

2005

  1. Analysis of protein-protein interaction networks using random walks
    Can, T., cCamoglu, O., and Singh, A. K.
    In Proceedings of the 5th international workshop on Bioinformatics, BIOKDD 2005 Oct, 2005
  2. Current Challenges in Bioimage Database Design
    Singh, A. K., Bhattacharya, A., and Ljosa, V.
    In Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, CSB 2005 Workshops Oct, 2005
  3. Decision Tree Based Information Integration for Automated Protein Classification
    cCamoglu, O., Can, T., Singh, A. K., and Wang, Y-F.
    J. Bioinformatics and Computational Biology Oct, 2005
  4. DIST: a distributed spatio-temporal index structure for sensor networks
    Meka, A., and Singh, A. K.
    In Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management Oct, 2005
  5. Distributed Data Streams Indexing using Content-Based Routing Paradigm
    Bulut, A., Singh, A. K., and Vitenberg, R.
    In 19th International Parallel and Distributed Processing Symposium, IPDPS 2005 Oct, 2005
  6. Scalable Index Structures for Biological Data
    Singh, A. K.
    Oct, 2005
  7. Scalable ranking for preference queries
    Feng, Y., Agrawal, D., El Abbadi, A., and Singh, A. K.
    In Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management Oct, 2005
  8. A Unified Framework for Monitoring Data Streams in Real Time
    Bulut, A., and Singh, A. K.
    In Proceedings of the 21st International Conference on Data Engineering Oct, 2005
  9. ViVo: Visual Vocabulary Construction for Mining Biomedical Images
    Bhattacharya, A., Ljosa, V., Pan, J-Y., Verardo, M. R., Yang, H-J., Faloutsos, C., and Singh, A. K.
    In Proceedings of the 5th IEEE International Conference on Data Mining Oct, 2005

2004

  1. Automated Protein Classification Using Consensus Decision
    Can, T., cCamoglu, O., Singh, A. K., and Wang, Y-F.
    In 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, CSB 2004 Oct, 2004
  2. A Distributed Database for BioMolecular Images
    Singh, A. K., Manjunath, B. S., and Murphy, R. F.
    SIGMOD Record Oct, 2004
  3. Increasing Concurrency in Databases Using Program Analysis
    Vitenberg, R., Kvilekval, K., and Singh, A. K.
    In ECOOP 2004 - Object-Oriented Programming, 18th European Conference Oct, 2004
  4. Index-based Similarity Search for Protein Structure Databases
    cCamoglu, O., Kahveci, T., and Singh, A. K.
    J. Bioinformatics and Computational Biology Oct, 2004
  5. Optimizing Similarity Search for Arbitrary Length Time Series Queries
    Kahveci, T., and Singh, A. K.
    IEEE Trans. Knowl. Data Eng. Oct, 2004
  6. ProGreSS: Simultaneous Searching of Protein Databases by Sequence and Structure
    Bhattacharya, A., Can, T., Kahveci, T., Singh, A. K., and Wang, Y-F.
    In Biocomputing 2004, Proceedings of the Pacific Symposium Oct, 2004
  7. Progressive Searching of Biological Sequences
    Kahveci, T., and Singh, A. K.
    IEEE Data Eng. Bull. Oct, 2004
  8. Speeding up whole-genome alignment by indexing frequency vectors
    Kahveci, T., Ljosa, V., and Singh, A. K.
    Bioinformatics Oct, 2004
  9. SPREE: Object Prefetching for Mobile Computers
    Kvilekval, K., and Singh, A. K.
    In On the Move to Meaningful Internet Systems 2004: CoopIS, DOA, and ODBASE, OTM Confederated International Conferences Oct, 2004

2003

  1. An Adaptive and Scalable Middleware for Distributed Indexing of Data Streams
    Bulut, A., Vitenberg, R., Emekçi, F., and Singh, A. K.
    In Databases, Information Systems, and Peer-to-Peer Computing, First International Workshop, DBISP2P, Berlin Germany Oct, 2003
  2. Browsing and placement of multi-resolution images on parallel disks
    Prabhakar, S., Agrawal, D., El Abbadi, A., Singh, A. K., and Smith, T. R.
    Multimedia Syst. Oct, 2003
  3. Deriving phylogenetic trees from the similarity analysis of metabolic pathways
    Heymans, M., and Singh, A. K.
    In Proceedings of the Eleventh International Conference on Intelligent Systems for Molecular Biology Oct, 2003
  4. Dynamic Query-Based Debugging of Object-Oriented Programs
    Lencevicius, R., Hölzle, U., and Singh, A. K.
    Autom. Softw. Eng. Oct, 2003
  5. Fast alignment of large genome databases
    Kahveci, T., and Singh, A. K.
    In Proceedings of the 19th International Conference on Data Engineering Oct, 2003
  6. Faster Similarity Search for Multimedia Data Via Query Transformations
    Lang, C. A., and Singh, A. K.
    Int. J. Image Graphics Oct, 2003
  7. Genome on Demand: Interactive Substring Searching
    Kahveci, T., and Singh, A. K.
    In 2nd IEEE Computer Society Bioinformatics Conference, CSB 2003 Oct, 2003
  8. Joining Massive High-Dimensional Datasets
    Kahveci, T., Lang, C. A., and Singh, A. K.
    In Proceedings of the 19th International Conference on Data Engineering Oct, 2003
  9. MAP: Searching Large Genome Databases
    Kahveci, T., and Singh, A. K.
    In Proceedings of the 8th Pacific Symposium on Biocomputing, PSB 2003 Oct, 2003
  10. PSI: indexing protein structures for fast similarity search
    cCamoglu, O., Kahveci, T., and Singh, A. K.
    In Proceedings of the Eleventh International Conference on Intelligent Systems for Molecular Biology Oct, 2003
  11. Querying and Mining Biological Databases
    Singh, A. K.
    OMICS Oct, 2003
  12. SWAT: Hierarchical Stream Summarization in Large Networks
    Bulut, A., and Singh, A. K.
    In Proceedings of the 19th International Conference on Data Engineering Oct, 2003
  13. Towards Index-based Similarity Search for Protein Structure Databases
    cCamoglu, O., Kahveci, T., and Singh, A. K.
    In 2nd IEEE Computer Society Bioinformatics Conference, CSB 2003 Oct, 2003