Publications

Found 18 results
Author Title [ Type(Desc)] Year
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Conference Paper
Guan, Z., J. Wu, Q. Zhang, A. K. Singh, and X. Yan, "Assessing and ranking structural correlations in graphs", Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data, {SIGMOD} 2011, Athens, Greece, June 12-16, 2011, pp. 937–948, 2011.
Can, T., O. \ cCamoglu, A. K. Singh, and Y-F. Wang, "Automated Protein Classification Using Consensus Decision", 3rd International {IEEE} Computer Society Computational Systems Bioinformatics Conference, {CSB} 2004, Stanford, CA, USA, August 16-19, 2004, pp. 224–235, 2004.
Zong, B., Y. Wu, A. K. Singh, and X. Yan, "Inferring the Underlying Structure of Information Cascades", 12th {IEEE} International Conference on Data Mining, {ICDM} 2012, Brussels, Belgium, December 10-13, 2012, pp. 1218–1223, 2012.
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.
Bhattacharya, A., T. Can, T. Kahveci, A. K. Singh, and Y-F. Wang, "ProGreSS: Simultaneous Searching of Protein Databases by Sequence and Structure", Biocomputing 2004, Proceedings of the Pacific Symposium, Hawaii, USA, 6-10 January 2004, pp. 264–275, 2004.
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.
Journal Article
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.