A color vision system for microelectronics: Application to oxide thickness measurements. - Matt Barth; Srinivasan Parthasarathy 001; Jing Wang 072; Evelyn Hu; Susan Hackwood; Gerardo Beni (ICRA, 1986)

A color vision system for film thickness determination. - Srinivasan Parthasarathy 001; Denise Wolf; Evelyn Hu; Susan Hackwood; Gerardo Beni (ICRA, 1987)

Parallel Data Mining for Association Rules on Shared-Memory Multi-Processors. - Mohammed Javeed Zaki; Mitsunori Ogihara; Srinivasan Parthasarathy 001; Wei Li 015 (SC, 1996)

Compile-time inter-query dependence analysis. - Srinivasan Parthasarathy 001; Wei Li 015; Michal Cierniak; Mohammed Javeed Zaki (SPDP, 1996)

An Efficient Algorithm for Concurrent Priority Queue Heaps. - Galen C. Hunt; Maged M. Michael; Srinivasan Parthasarathy 001; Michael L. Scott (Inf. Process. Lett., 1996)

Arithmetic and logic operations with DNA. - Vineet Gupta 003; Srinivasan Parthasarathy 001; Mohammed J. Zaki (DNA Based Computers, 1997)

VM-Based Shared Memory on Low-Latency, Remote-Memory-Access Networks. - Leonidas I. Kontothanassis; Galen C. Hunt; Robert Stets; Nikos Hardavellas; Michal Cierniak; Srinivasan Parthasarathy 001; Wagner Meira Jr.; Sandhya Dwarkadas; Michael L. Scott (ISCA, 1997)

New Algorithms for Fast Discovery of Association Rules. - Mohammed Javeed Zaki; Srinivasan Parthasarathy 001; Mitsunori Ogihara; Wei Li 015 (KDD, 1997)

Evaluation of Sampling for Data Mining of Association Rules. - Mohammed Javeed Zaki; Srinivasan Parthasarathy 001; Wei Li 015; Mitsunori Ogihara (RIDE, 1997)

Cashmere-2L: Software Coherent Shared Memory on a Clustered Remote-Write Network. - Robert Stets; Sandhya Dwarkadas; Nikos Hardavellas; Galen C. Hunt; Leonidas I. Kontothanassis; Srinivasan Parthasarathy 001; Michael L. Scott (SOSP, 1997)

A Localized Algorithm for Parallel Association Mining. - Mohammed Javeed Zaki; Srinivasan Parthasarathy 001; Wei Li 015 (SPAA, 1997)

Parallel Algorithms for Discovery of Association Rules. - Mohammed Javeed Zaki; Srinivasan Parthasarathy 001; Mitsunori Ogihara; Wei Li 015 (Data Min. Knowl. Discov., 1997)

Customized Dynamic Load Balancing for a Network of Workstations. - Mohammed Javeed Zaki; Wei Li 015; Srinivasan Parthasarathy 001 (J. Parallel Distributed Comput., 1997)

Memory Placement Techniques for Parallel Association Mining. - Srinivasan Parthasarathy 001; Mohammed Javeed Zaki; Wei Li 015 (KDD, 1998)

InterAct: Virtual Sharing for Interactive Client-Server Applications. - Srinivasan Parthasarathy 001; Sandhya Dwarkadas (LCR, 1998)

Incremental and Interactive Sequence Mining. - Srinivasan Parthasarathy 001; Mohammed Javeed Zaki; Mitsunori Ogihara; Sandhya Dwarkadas (CIKM, 1999)

Active Mining in a Distributed Setting. - Srinivasan Parthasarathy 001; Sandhya Dwarkadas; Mitsunori Ogihara (Large-Scale Parallel Data Mining, 1999)

Exploiting Dataset Similarity for Distributed Mining. - Srinivasan Parthasarathy 001; Mitsunori Ogihara (IPDPS Workshops, 2000)

InterWeave: A Middleware System for Distributed Shared State. - DeQing Chen; Sandhya Dwarkadas; Srinivasan Parthasarathy 001; Eduardo Pinheiro; Michael L. Scott (LCR, 2000)

Clustering Distributed Homogeneous Datasets. - Srinivasan Parthasarathy 001; Mitsunori Ogihara (PKDD, 2000)

Towards Network-Aware Data Mining. - Srinivasan Parthasarathy 001 (IPDPS, 2001)

Mining massively incomplete data sets by conceptual reconstruction. - Charu C. Aggarwal; Srinivasan Parthasarathy 001 (KDD, 2001)

Shared State for Client-Server Mining. - Srinivasan Parthasarathy 001; Sandhya Dwarkadas (SDM, 2001)

Parallel Data Mining for Association Rules on Shared-Memory Systems. - Srinivasan Parthasarathy 001; Mohammed Javeed Zaki; Mitsunori Ogihara; Wei Li 015 (Knowl. Inf. Syst., 2001)

Efficient Progressive Sampling for Association Rules. - Srinivasan Parthasarathy 001 (ICDM, 2002)

Efficient Discovery of Common Substructures in Macromolecules. - Srinivasan Parthasarathy 001; Matt Coatney (ICDM, 2002)

Parallel Incremental 2D-Discretization on Dynamic Datasets. - Srinivasan Parthasarathy 001; Arun Ramakrishnan (IPDPS, 2002)

On the Use of Constrained Associations for Web Log Mining. - Hui Yang 002; Srinivasan Parthasarathy 001 (WEBKDD, 2002)

Efficiently Mining Approximate Models of Associations in Evolving Databases. - Adriano Veloso; Bruno Gusmão Rocha; Wagner Meira Jr.; Márcio de Carvalho; Srinivasan Parthasarathy 001; Mohammed Javeed Zaki (PKDD, 2002)

Mining Frequent Itemsets in Evolving Databases. - Adriano Veloso; Wagner Meira Jr.; Márcio de Carvalho; Bruno Pôssas; Srinivasan Parthasarathy 001; Mohammed Javeed Zaki (SDM, 2002)

Shared State for Distributed Interactive Data Mining Applications. - Srinivasan Parthasarathy 001; Sandhya Dwarkadas (Distributed Parallel Databases, 2002)

MotifMiner: A General Toolkit for Efficiently Identifying Common Substructures in Molecules. - Matt Coatney; Srinivasan Parthasarathy 001 (BIBE, 2003)

A Slacker Coherence rotocol for Pull-based Monitoring of On-line Data Source. - Radhakrishnan Sundaresan; Tahsin M. Kurç; Mario Lauria; Srinivasan Parthasarathy 001; Joel H. Saltz (CCGRID, 2003)

Parallel and Distributed Frequent Itemset Mining on Dynamic Datasets. - Adriano Veloso; Matthew Eric Otey; Srinivasan Parthasarathy 001; Wagner Meira Jr. (HiPC, 2003)

Adaptive Polling of Grid Resource Monitors Using a Slacker Coherence Model. - Radhakrishnan Sundaresan; Mario Lauria; Tahsin M. Kurç; Srinivasan Parthasarathy 001; Joel H. Saltz (HPDC, 2003)

Mining Frequent Itemsets in Distributed and Dynamic Databases. - Matthew Eric Otey; Chao Wang 050; Srinivasan Parthasarathy 001; Adriano Veloso; Wagner Meira Jr. (ICDM, 2003)

Towards NIC-based intrusion detection. - Matthew Eric Otey; Srinivasan Parthasarathy 001; Amol Ghoting; G. Li; Sundeep Narravula; Dhabaleswar K. Panda 001 (KDD, 2003)

New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases. - Adriano Veloso; Wagner Meira Jr.; Srinivasan Parthasarathy 001 (SBAC-PAD, 2003)

Efficient, Accurate and Privacy-Preserving Data Mining for Frequent Itemsets in Distributed Databases. - Adriano Veloso; Wagner Meira Jr.; Srinivasan Parthasarathy 001; Márcio de Carvalho (SBBD, 2003)

Feature Mining Paradigms for Scientific Data. - Ming Jiang 005; Tat-Sang Choy; Sameep Mehta; Matt Coatney; Steve Barr; Kaden Hazzard; David Richie; Srinivasan Parthasarathy 001; Raghu Machiraju; David S. Thompson; John Wilkins; Boyd Gatlin (SDM, 2003)

Decision Tree Classification of Spatial Data Patterns from Videokeratography using Zernicke Polynomials. - Michael D. Twa; Srinivasan Parthasarathy 001; Thomas W. Raasch; Mark Bullimore (SDM, 2003)

On the Use of Conceptual Reconstruction for Mining Massively Incomplete Data Sets. - Srinivasan Parthasarathy 001; Charu C. Aggarwal (IEEE Trans. Knowl. Data Eng., 2003)

Improvements to Response-Surface Based Vehicle Design Using a Feature-Centric Approach. - David S. Thompson; Srinivasan Parthasarathy 001; Raghu Machiraju; Scott Lawrence (International Conference on Computational Science, 2004)

LOADED: Link-Based Outlier and Anomaly Detection in Evolving Data Sets. - Amol Ghoting; Matthew Eric Otey; Srinivasan Parthasarathy 001 (ICDM, 2004)

Correlation Preserving Discretization. - Sameep Mehta; Srinivasan Parthasarathy 001; Hui Yang 002 (ICDM, 2004)

Parallel algorithms for mining frequent structural motifs in scientific data. - Chao Wang 050; Srinivasan Parthasarathy 001 (ICS, 2004)

Facilitating Interactive Distributed Data Stream Processing and Mining. - Amol Ghoting; Srinivasan Parthasarathy 001 (IPDPS, 2004)

A New Approach to Protein Structure Mining and Alignment. - Hongyuan Li; Keith Marsolo; Srinivasan Parthasarathy 001; Dmitrii Polshakov (BIOKDD, 2004)

Discovering Spatial Relationships Between Approximately Equivalent Patterns in Contact Maps. - Keith Marsolo; Hui Yang 002; Srinivasan Parthasarathy 001; Sameep Mehta (BIOKDD, 2004)

Exploiting Recurring Usage Patterns to Enhance Filesystem and Memory Subsystem Performance. - Benjamin Rutt; Srinivasan Parthasarathy 001 (PAKDD, 2004)

Asynchronous and Anticipatory Filter-Stream Based Parallel Algorithm for Frequent Itemset Mining. - Adriano Veloso; Wagner Meira Jr.; Renato Ferreira 001; Dorgival Olavo Guedes Neto; Srinivasan Parthasarathy 001 (PKDD, 2004)

Detection and Visualization of Anomalous Structures in Molecular Dynamics Simulation Data. - Sameep Mehta; Kaden Hazzard; Raghu Machiraju; Srinivasan Parthasarathy 001; John Wilkins (IEEE Visualization, 2004)

Parallel and distributed methods for incremental frequent itemset mining. - Matthew Eric Otey; Srinivasan Parthasarathy 001; Chao Wang 050; Adriano Veloso; Wagner Meira Jr. (IEEE Trans. Syst. Man Cybern. Part B, 2004)

A Model-Based Approach to Visualizing Classification Decisions for Patient Diagnosis. - Keith Marsolo; Srinivasan Parthasarathy 001; Michael D. Twa; Mark Bullimore (AIME, 2005)

A Multi-Level Approach to SCOP Fold Recognition. - Keith Marsolo; Srinivasan Parthasarathy 001; Chris H. Q. Ding (BIBE, 2005)

Classification of Biomedical Data through Model-Based Spatial Averaging. - Keith Marsolo; Srinivasan Parthasarathy 001; Michael D. Twa; Mark Bullimore (BIBE, 2005)

Effective Pre-Processing Strategies for Functional Clustering of a Protein-Protein Interactions Network. - Duygu Ucar; Srinivasan Parthasarathy 001; Sitaram Asur; Chao Wang 050 (BIBE, 2005)

A Characterization of Data Mining Workloads on a Modern Processor. - Amol Ghoting; Gregory Buehrer; Srinivasan Parthasarathy 001; Daehyun Kim 001; Anthony D. Nguyen; Yen-Kuang Chen; Pradeep Dubey (DaMoN, 2005)

Alternate Representation of Distance Matrices for Characterization of Protein Structure. - Keith Marsolo; Srinivasan Parthasarathy 001 (ICDM, 2005)

Design of a next generation sampling service for large scale data analysis applications. - Huai Wang; Srinivasan Parthasarathy 001; Amol Ghoting; Shirish Tatikonda; Gregory Buehrer; Tahsin M. Kurç; Joel H. Saltz (ICS, 2005)

Mining Spatial Object Associations for Scientific Data. - Hui Yang 002; Srinivasan Parthasarathy 001; Sameep Mehta (IJCAI, 2005)

A Services Oriented Framework for Next Generation Data Analysis Centers. - Huai Wang; Amol Ghoting; Gregory Buehrer; Shirish Tatikonda; Srinivasan Parthasarathy 001; Tahsin M. Kurç; Joel H. Saltz (IPDPS, 2005)

Discovering frequent topological structures from graph datasets. - Ruoming Jin; Chao Wang 050; Dmitrii Polshakov; Srinivasan Parthasarathy 001; Gagan Agrawal (KDD, 2005)

A generalized framework for mining spatio-temporal patterns in scientific data. - Hui Yang 002; Srinivasan Parthasarathy 001; Sameep Mehta (KDD, 2005)

Dynamic Classification of Defect Structures in Molecular Dynamics Simulation Data. - Sameep Mehta; Steve Barr; Tat-Sang Choy; Hui Yang 002; Srinivasan Parthasarathy 001; Raghu Machiraju; John Wilkins (SDM, 2005)

Cache-conscious Frequent Pattern Mining on a Modern Processor. - Amol Ghoting; Gregory Buehrer; Srinivasan Parthasarathy 001; Daehyun Kim 001; Anthony D. Nguyen; Yen-Kuang Chen; Pradeep Dubey (VLDB, 2005)

MotifMiner: Efficient discovery of common substructures in biochemical molecules. - Matt Coatney; Srinivasan Parthasarathy 001 (Knowl. Inf. Syst., 2005)

BIOKDD 2005 workshop report. - Srinivasan Parthasarathy 001; Wei Wang 010; Mohammed Javeed Zaki (SIGKDD Explor., 2005)

Toward Unsupervised Correlation Preserving Discretization. - Sameep Mehta; Srinivasan Parthasarathy 001; Hui Yang 002 (IEEE Trans. Knowl. Data Eng., 2005)

Efficient pattern mining on shared memory systems: implications for chip multiprocessor architectures. - Gregory Buehrer; Yen-Kuang Chen; Srinivasan Parthasarathy 001; Anthony D. Nguyen; Amol Ghoting; Daehyun Kim 001 (Memory System Performance and Correctness, 2006)

Structure-based querying of proteins using wavelets. - Keith Marsolo; Srinivasan Parthasarathy 001; Kotagiri Ramamohanarao (CIKM, 2006)

Robust periodicity detection algorithms. - Srinivasan Parthasarathy 001; Sameep Mehta; S. Srinivasan (CIKM, 2006)

TRIPS and TIDES: new algorithms for tree mining. - Shirish Tatikonda; Srinivasan Parthasarathy 001; Tahsin M. Kurç (CIKM, 2006)

High Performance Data Mining: Consolidation and Renewed Bearing. - Srinivasan Parthasarathy 001 (COMAD, 2006)

A Decomposition-Based Probabilistic Framework for Estimating the Selectivity of XML Twig Queries. - Chao Wang 050; Srinivasan Parthasarathy 001; Ruoming Jin (EDBT, 2006)

Mining Spatial and Spatio-Temporal Patterns in Scientific Data. - Hui Yang 002; Srinivasan Parthasarathy 001 (ICDE Workshops, 2006)

Adaptive Parallel Graph Mining for CMP Architectures. - Gregory Buehrer; Srinivasan Parthasarathy 001; Yen-Kuang Chen (ICDM, 2006)

On Trajectory Representation for Scientific Features. - Sameep Mehta; Srinivasan Parthasarathy 001; Raghu Machiraju (ICDM, 2006)

Learning Approximate MRFs from Large Transactional Data. - Chao Wang 050; Srinivasan Parthasarathy 001 (SNA@ICML, 2006)

Visual Exploration of Spatio-temporal Relationships for Scientific Data. - Bryan Mehta; Srinivasan Parthasarathy 001; Raghu Machiraju (IEEE VAST, 2006)

I/O conscious algorithm design and systems support for data analysis on emerging architectures. - Gregory Buehrer; Amol Ghoting; Xi Zhang; Shirish Tatikonda; Srinivasan Parthasarathy 001; Tahsin M. Kurç; Joel H. Saltz (IPDPS, 2006)

Design and analysis of a multi-dimensional data sampling service for large scale data analysis applications. - Xi Zhang; Tahsin M. Kurç; Joel H. Saltz; Srinivasan Parthasarathy 001 (IPDPS, 2006)

A model-based approach for mining membrane protein crystallization trials. - Sitaram Asur; Pichai Raman; Matthew Eric Otey; Srinivasan Parthasarathy 001 (ISMB (Supplement of Bioinformatics), 2006)

Out-of-core frequent pattern mining on a commodity PC. - Gregory Buehrer; Srinivasan Parthasarathy 001; Amol Ghoting (KDD, 2006)

Summarizing itemset patterns using probabilistic models. - Chao Wang 050; Srinivasan Parthasarathy 001 (KDD, 2006)

Knowledge-Conscious Data Clustering. - Amol Ghoting; Srinivasan Parthasarathy 001 (PKDD, 2006)

Improving Functional Modularity in Protein-Protein Interactions Graphs Using Hub-Induced Subgraphs. - Duygu Ucar; Sitaram Asur; Ümit V. Çatalyürek; Srinivasan Parthasarathy 001 (PKDD, 2006)

Learning Approximate MRFs from Large Transaction Data. - Chao Wang 050; Srinivasan Parthasarathy 001 (PKDD, 2006)

Dissimilarity Measures for Detecting Hepatotoxicity in Clinical Trial Data. - Matthew Eric Otey; Srinivasan Parthasarathy 001; Donald C. Trost (SDM, 2006)

Fast Distributed Outlier Detection in Mixed-Attribute Data Sets. - Matthew Eric Otey; Amol Ghoting; Srinivasan Parthasarathy 001 (Data Min. Knowl. Discov., 2006)

Mobility control for throughput maximization in ad hoc networks. - Tamer Nadeem; Srinivasan Parthasarathy 001 (Wirel. Commun. Mob. Comput., 2006)

Local Probabilistic Models for Link Prediction. - Chao Wang 050; Venu Satuluri; Srinivasan Parthasarathy 001 (ICDM, 2007)

Knowledge and Cache Conscious Algorithm Design and Systems Support for Data Mining Algorithms. - Amol Ghoting; Gregory Buehrer; Matthew Goyder; Shirish Tatikonda; Xi Zhang; Srinivasan Parthasarathy 001; Tahsin M. Kurç; Joel H. Saltz (IPDPS, 2007)

An ensemble framework for clustering protein-protein interaction networks. - Sitaram Asur; Duygu Ucar; Srinivasan Parthasarathy 001 (ISMB/ECCB (Supplement of Bioinformatics), 2007)

Data mining at the crossroads: successes, failures and learning from them. - Srinivasan Parthasarathy 001 (KDD, 2007)

Toward terabyte pattern mining: an architecture-conscious solution. - Gregory Buehrer; Srinivasan Parthasarathy 001; Shirish Tatikonda; Tahsin M. Kurç; Joel H. Saltz (PPoPP, 2007)

LCS-TRIM: Dynamic Programming Meets XML Indexing and Querying. - Shirish Tatikonda; Srinivasan Parthasarathy 001; Matthew Goyder (VLDB, 2007)

A spatio-temporal mining approach towards summarizing and analyzing protein folding trajectories. - Hui Yang 002; Srinivasan Parthasarathy 001; Duygu Ucar (Algorithms Mol. Biol., 2007)

Construction of a reference gene association network from multiple profiling data: application to data analysis. - Duygu Ucar; Isaac Neuhaus; Petra Ross-MacDonald; Charles Tilford; Srinivasan Parthasarathy 001; Nathan O. Siemers; Rui-Ru Ji (Bioinform., 2007)

Spatial Modeling and Classification of Corneal Shape. - Keith Marsolo; Michael D. Twa; Mark Bullimore; Srinivasan Parthasarathy 001 (IEEE Trans. Inf. Technol. Biomed., 2007)

Cache-conscious frequent pattern mining on modern and emerging processors. - Amol Ghoting; Gregory Buehrer; Srinivasan Parthasarathy 001; Daehyun Kim 001; Anthony D. Nguyen; Yen-Kuang Chen; Pradeep Dubey (VLDB J., 2007)

A Survey of Distributed Mining of Data Streams. - Srinivasan Parthasarathy 001; Amol Ghoting; Matthew Eric Otey (Data Streams - Models and Algorithms, 2007)

Architecture Conscious Data Mining. - Srinivasan Parthasarathy 001; Shirish Tatikonda; Gregory Buehrer; Amol Ghoting (Next Generation of Data Mining, 2008)

Data mining on the cell broadband engine. - Gregory Buehrer; Srinivasan Parthasarathy 001; Matthew Goyder (ICS, 2008)

A visual-analytic toolkit for dynamic interaction graphs. - Xintian Yang; Sitaram Asur; Srinivasan Parthasarathy 001; Sameep Mehta (KDD, 2008)

An adaptive memory conscious approach for mining frequent trees: implications for multi-core architectures. - Shirish Tatikonda; Srinivasan Parthasarathy 001 (PPoPP, 2008)

Global trees: a framework for linked data structures on distributed memory parallel systems. - D. Brian Larkins; James Dinan; Sriram Krishnamoorthy; Srinivasan Parthasarathy 001; Atanas Rountev; P. Sadayappan (SC, 2008)

CSV: visualizing and mining cohesive subgraphs. - Nan Wang; Srinivasan Parthasarathy 001; Kian-Lee Tan; Anthony K. H. Tung (SIGMOD Conference, 2008)

Fast mining of distance-based outliers in high-dimensional datasets. - Amol Ghoting; Srinivasan Parthasarathy 001; Matthew Eric Otey (Data Min. Knowl. Discov., 2008)

On the use of structure and sequence-based features for protein classification and retrieval. - Keith Marsolo; Srinivasan Parthasarathy 001 (Knowl. Inf. Syst., 2008)

Guest editorial. - Srinivasan Parthasarathy 001; Bing Liu 001 (Stat. Anal. Data Min., 2008)

Biological data mining. - Mohammed Javeed Zaki; Naren Ramakrishnan; Srinivasan Parthasarathy 001 (Sci. Program., 2008)

Biomedical Data Mining, Spatial. - Keith Marsolo; Michael D. Twa; Mark Bullimore; Srinivasan Parthasarathy 001 (Encyclopedia of GIS, 2008)

Patterns in Spatio-temporal Data. - Hui Yang 002; Srinivasan Parthasarathy 001 (Encyclopedia of GIS, 2008)

Mutual Information Based Extrinsic Similarity for Microarray Analysis. - Duygu Ucar; Fatih Altiparmak; Hakan Ferhatosmanoglu; Srinivasan Parthasarathy 001 (BICoB, 2009)

A viewpoint-based approach for interaction graph analysis. - Sitaram Asur; Srinivasan Parthasarathy 001 (KDD, 2009)

Anomaly detection and spatio-temporal analysis of global climate system. - Mahashweta Das; Srinivasan Parthasarathy 001 (KDD Workshop on Knowledge Discovery from Sensor Data, 2009)

Scalable graph clustering using stochastic flows: applications to community discovery. - Venu Satuluri; Srinivasan Parthasarathy 001 (KDD, 2009)

Query by output. - Quoc Trung Tran; Chee-Yong Chan; Srinivasan Parthasarathy 001 (SIGMOD Conference, 2009)

Predicting functionality of protein-DNA interactions by integrating diverse evidence. - Duygu Ucar; Andreas Beyer; Srinivasan Parthasarathy 001; Christopher T. Workman (Bioinform., 2009)

Letter from the Special Issue Editor. - Beng Chin Ooi; Srinivasan Parthasarathy 001 (IEEE Data Eng. Bull., 2009)

Mining Tree-Structured Data on Multicore Systems. - Shirish Tatikonda; Srinivasan Parthasarathy 001 (Proc. VLDB Endow., 2009)

Similarity Search on Bregman Divergence: Towards Non-Metric Indexing. - Zhenjie Zhang; Beng Chin Ooi; Srinivasan Parthasarathy 001; Anthony K. H. Tung (Proc. VLDB Endow., 2009)

An event-based framework for characterizing the evolutionary behavior of interaction graphs. - Sitaram Asur; Srinivasan Parthasarathy 001; Duygu Ucar (ACM Trans. Knowl. Discov. Data, 2009)

Markov clustering of protein interaction networks with improved balance and scalability. - Venu Satuluri; Srinivasan Parthasarathy 001; Duygu Ucar (BCB, 2010)

Lag Patterns in Time Series Databases. - Dhaval Patel 002; Wynne Hsu; Mong-Li Lee; Srinivasan Parthasarathy 001 (DEXA (2), 2010)

Parallel and Distributed Data Management. - Rizos Sakellariou; Salvatore Orlando 001; Josep Lluís Larriba-Pey; Srinivasan Parthasarathy 001; Demetrios Zeinalipour-Yazti (Euro-Par (1), 2010)

Hashing tree-structured data: Methods and applications. - Shirish Tatikonda; Srinivasan Parthasarathy 001 (ICDE, 2010)

A Framework for SQL-Based Mining of Large Graphs on Relational Databases. - Sriganesh Srihari; Shruti Chandrashekar; Srinivasan Parthasarathy 001 (PAKDD (2), 2010)

A distributed placement service for graph-structured and tree-structured data. - Gregory Buehrer; Srinivasan Parthasarathy 001; Shirish Tatikonda (PPoPP, 2010)

Distance-Based Outlier Detection: Consolidation and Renewed Bearing. - Gustavo Henrique Orair; Carlos H. C. Teixeira; Ye Wang; Wagner Meira Jr.; Srinivasan Parthasarathy 001 (Proc. VLDB Endow., 2010)

A Survey of Graph Mining Techniques for Biological Datasets. - Srinivasan Parthasarathy 001; Shirish Tatikonda; Duygu Ucar (Managing and Mining Graph Data, 2010)

Community Discovery in Social Networks: Applications, Methods and Emerging Trends. - Srinivasan Parthasarathy 001; Yiye Ruan; Venu Satuluri (Social Network Data Analytics, 2011)

Scalable multiple global network alignment for biological data. - Yu-Keng Shih; Srinivasan Parthasarathy 001 (BCB, 2011)

Symmetrizations for clustering directed graphs. - Venu Satuluri; Srinivasan Parthasarathy 001 (EDBT, 2011)

Locality Sensitive Outlier Detection: A ranking driven approach. - Ye Wang; Srinivasan Parthasarathy 001; Shirish Tatikonda (ICDE, 2011)

Local graph sparsification for scalable clustering. - Venu Satuluri; Srinivasan Parthasarathy 001; Yiye Ruan (SIGMOD Conference, 2011)

Elastic Fidelity: Trading-off Computational Accuracy for Energy Reduction - Sourya Roy; Tyler Clemons; S. M. Faisal; Ke Liu; Nikos Hardavellas; Srinivasan Parthasarathy 001 (CoRR, 2011)

Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining. - Xintian Yang; Srinivasan Parthasarathy 001; P. Sadayappan (Proc. VLDB Endow., 2011)

Extracting Analyzing and Visualizing Triangle K-Core Motifs within Networks. - Yang Zhang; Srinivasan Parthasarathy 001 (ICDE, 2012)

A framework for summarizing and analyzing twitter feeds. - Xintian Yang; Amol Ghoting; Yiye Ruan; Srinivasan Parthasarathy 001 (KDD, 2012)

GADBMS: A Framework for Scalable Array Analytics. - Tyler Clemons; Srinivasan Parthasarathy 001; P. Sadayappan (SC Companion, 2012)

A single source k-shortest paths algorithm to infer regulatory pathways in a gene network. - Yu-Keng Shih; Srinivasan Parthasarathy 001 (Bioinform., 2012)

Identifying functional modules in interaction networks through overlapping Markov clustering. - Yu-Keng Shih; Srinivasan Parthasarathy 001 (Bioinform., 2012)

Scalable global alignment for multiple biological networks. - Yu-Keng Shih; Srinivasan Parthasarathy 001 (BMC Bioinform., 2012)

Hash in a Flash: Hash Tables for Solid State Devices - Tyler Clemons; S. M. Faisal; Shirish Tatikonda; Charu C. Aggarwal; Srinivasan Parthasarathy 001 (CoRR, 2012)

On the Role of Social Identity and Cohesion in Characterizing Online Social Communities - Hemant Purohit; Yiye Ruan; David Fuhry; Srinivasan Parthasarathy 001; Amit P. Sheth (CoRR, 2012)

Bayesian Locality Sensitive Hashing for Fast Similarity Search. - Venu Satuluri; Srinivasan Parthasarathy 001 (Proc. VLDB Endow., 2012)

Network Clustering. - Srinivasan Parthasarathy 001; S. M. Faisal (Data Clustering: Algorithms and Applications, 2013)

Identifying protein complexes in AP-MS data with negative evidence via soft Markov clustering. - Yu-Keng Shih; Srinivasan Parthasarathy 001 (BCB, 2013)

Hash in a flash: Hash tables for flash devices. - Tyler Clemons; S. M. Faisal; Shirish Tatikonda; Charu C. Aggarwal; Srinivasan Parthasarathy 001 (IEEE BigData, 2013)

Stratification driven placement of complex data: A framework for distributed data analytics. - Ye Wang; Srinivasan Parthasarathy 001; P. Sadayappan (ICDE, 2013)

Scalable all-pairs similarity search in metric spaces. - Ye Wang; Ahmed Metwally 001; Srinivasan Parthasarathy 001 (KDD, 2013)

Efficient community detection in large networks using content and links. - Yiye Ruan; David Fuhry; Srinivasan Parthasarathy 001 (WWW, 2013)

Summarization via Pattern Utility and Ranking: A Novel Framework for Social Media Data Analytics. - Xintian Yang; Yiye Ruan; Srinivasan Parthasarathy 001; Amol Ghoting (IEEE Data Eng. Bull., 2013)

PLASMA-HD: Probing the LAttice Structure and MAkeup of High-dimensional Data. - David Fuhry; Yang Zhang; Venu Satuluri; Arnab Nandi 001; Srinivasan Parthasarathy 001 (Proc. VLDB Endow., 2013)

Global graphs: A middleware for large scale graph processing. - S. M. Faisal; Srinivasan Parthasarathy 001; P. Sadayappan (IEEE BigData, 2014)

Component Detection in Directed Networks. - Yu-Keng Shih; Sungmin Kim; Yiye Ruan; Jinxing Cheng; Rohit Kumar 006; Tao Shi; Srinivasan Parthasarathy 001 (CIKM, 2014)

One, Two, Hash! Counting Hash Tables for Flash Devices. - Tyler Clemons; S. M. Faisal; Shirish Tatikonda; Charu C. Aggarwal; Srinivasan Parthasarathy 001 (CODS, 2014)

Simultaneous detection of communities and roles from large networks. - Yiye Ruan; Srinivasan Parthasarathy 001 (COSN, 2014)

A fast implementation of MLR-MCL algorithm on multi-core processors. - Qingpeng Niu; Pai-Wei Lai; S. M. Faisal; Srinivasan Parthasarathy 001; P. Sadayappan (HiPC, 2014)

On Understanding the Divergence of Online Social Group Discussion. - Hemant Purohit; Yiye Ruan; David Fuhry; Srinivasan Parthasarathy 001; Amit P. Sheth (ICWSM, 2014)

Fast Sparse Matrix-Vector Multiplication on GPUs for Graph Applications. - Arash Ashari; Naser Sedaghati; John Eisenlohr; Srinivasan Parthasarathy 001; P. Sadayappan (SC, 2014)

Economically-efficient sentiment stream analysis. - Roberto Lourenço de Oliveira Jr.; Adriano Veloso; Adriano C. M. Pereira; Wagner Meira Jr.; Renato Ferreira 001; Srinivasan Parthasarathy 001 (SIGIR, 2014)

Query reverse engineering. - Quoc Trung Tran; Chee Yong Chan; Srinivasan Parthasarathy 001 (VLDB J., 2014)

Edge importance identification for energy efficient graph processing. - S. M. Faisal; Georgios Tziantzioulis; Ali Murat Gok; Nikolaos Hardavellas; Seda Ogrenci Memik; Srinivasan Parthasarathy 001 (IEEE BigData, 2015)

b-HiVE: a bit-level history-based error model with value correlation for voltage-scaled integer and floating point units. - Georgios Tziantzioulis; Ali Murat Gok; S. M. Faisal; Nikolaos Hardavellas; Seda Ogrenci Memik; Srinivasan Parthasarathy 001 (DAC, 2015)

Interactive Tweaking of Text Analytics Dashboards. - Arnab Nandi 001; Ziqi Huang; Man Cao; Micha Elsner; Lilong Jiang; Srinivasan Parthasarathy 001; Ramiya Venkatachalam (DNIS, 2015)

Towards a parameter-free and parallel itemset mining algorithm in linearithmic time. - Gregory Buehrer; Roberto L. de Oliveira Jr.; David Fuhry; Srinivasan Parthasarathy 001 (ICDE, 2015)

Automatic Selection of Sparse Matrix Representation on GPUs. - Naser Sedaghati; Te Mu; Louis-Noël Pouchet; Srinivasan Parthasarathy 001; P. Sadayappan (ICS, 2015)

Sequential Hypothesis Tests for Adaptive Locality Sensitive Hashing. - Aniket Chakrabarti; Srinivasan Parthasarathy 001 (WWW, 2015)

GalaxyExplorer: Influence-Driven Visual Exploration of Context-Specific Social Media Interactions. - Xiaotong Liu; Srinivasan Parthasarathy 001; Han-Wei Shen; Yifan Hu 001 (WWW (Companion Volume), 2015)

Dynamic inference of social roles in information cascades. - Sarvenaz Choobdar; Pedro Manuel Pinto Ribeiro; Srinivasan Parthasarathy 001; Fernando M. A. Silva (Data Min. Knowl. Discov., 2015)

A Bayesian Perspective on Locality Sensitive Hashing with Extensions for Kernel Methods. - Aniket Chakrabarti; Venu Satuluri; Atreya Srivathsan; Srinivasan Parthasarathy 001 (ACM Trans. Knowl. Discov. Data, 2015)

Topological Graph Sketching for Incremental and Scalable Analytics. - Bortik Bandyopadhyay; David Fuhry; Aniket Chakrabarti; Srinivasan Parthasarathy 001 (CIKM, 2016)

Robust Contextual Outlier Detection: Where Context Meets Sparsity. - Jiongqian Liang; Srinivasan Parthasarathy 001 (CIKM, 2016)

Lazy Pipelines: Enhancing quality in approximate computing. - Georgios Tziantzioulis; Ali Murat Gok; S. M. Faisal; Nikolaos Hardavellas; Seda Ogrenci Memik; Srinivasan Parthasarathy 001 (DATE, 2016)

Connecting Opinions to Opinion-Leaders: A Case Study on Brazilian Political Protests. - Leonardo Rocha 001; Fernando Mourão; Ramon Vieira; Alan Neves; Dárlinton B. F. Carvalho; Bortik Bandyopadhyay; Srinivasan Parthasarathy 001; Renato Ferreira 001 (DSAA, 2016)

Data Analytics Framework for A Game-based Rehabilitation System. - Jiongqian Liang; David Fuhry; David Maung; Alexandra Borstad; Roger Crawfis; Lynne V. Gauthier; Arnab Nandi 001; Srinivasan Parthasarathy 001 (Digital Health, 2016)

Hierarchical Density-Based Clustering based on GPU Accelerated Data Indexing Strategy. - Danilo Melo; Sávyo Toledo; Fernando Mourão; Rafael Sachetto Oliveira; Guilherme Andrade; Renato Ferreira 001; Srinivasan Parthasarathy 001; Leonardo Rocha 001 (ICCS, 2016)

D-STHARk: Evaluating Dynamic Scheduling of Tasks in Hybrid Simulated Architectures. - Leonardo Rocha 001; Fernando Mourão; Guilherme Andrade; Renato Ferreira 001; Srinivasan Parthasarathy 001; Danilo Melo; Sávyo Toledo; Aniket Chakrabarti (ICCS, 2016)

Robust Monte Carlo Sampling using Riemannian Nosé-Poincaré Hamiltonian Dynamics. - Anirban Roychowdhury; Brian Kulis; Srinivasan Parthasarathy 001 (ICML, 2016)

Green- and heterogeneity-aware partitioning for data analytics. - Aniket Chakrabarti; Srinivasan Parthasarathy 001; Christopher Stewart (INFOCOM Workshops, 2016)

Improving Locality Sensitive Hashing Based Similarity Search and Estimation for Kernels. - Aniket Chakrabarti; Bortik Bandyopadhyay; Srinivasan Parthasarathy 001 (ECML/PKDD (2), 2016)

Multi-Domain Manifold Learning for Drug-Target Interaction Prediction. - Ruichu Cai; Zhenjie Zhang; Srinivasan Parthasarathy 001; Anthony K. H. Tung; Zhifeng Hao; Wen Zhang 008 (SDM, 2016)

What Links Alice and Bob?: Matching and Ranking Semantic Patterns in Heterogeneous Networks. - Jiongqian Liang; Deepak Ajwani; Patrick K. Nicholson; Alessandra Sala; Srinivasan Parthasarathy 001 (WWW, 2016)

A Quest to Unravel the Metric Structure Behind Perturbed Networks. - Srinivasan Parthasarathy 001; David Sivakoff; Minghao Tian; Yusu Wang 001 (SoCG, 2017)

Emotional and Linguistic Cues of Depression from Social Media. - Nikhita Vedula; Srinivasan Parthasarathy 001 (DH, 2017)

Role Discovery in Graphs Using Global Features: Algorithms, Applications and a Novel Evaluation Strategy. - Pratik Vinay Gupte; Balaraman Ravindran; Srinivasan Parthasarathy 001 (ICDE, 2017)

Analyzing and Visualizing Scalar Fields on Graphs. - Yang Zhang; Yusu Wang 001; Srinivasan Parthasarathy 001 (ICDE, 2017)

Multimodal Content Analysis for Effective Advertisements on YouTube. - Nikhita Vedula; Wei Sun 013; Hyunhwan Lee; Harsh Gupta; Mitsunori Ogihara; Joseph Johnson; Gang Ren 004; Srinivasan Parthasarathy 001 (ICDM, 2017)

A Pareto Framework for Data Analytics on Heterogeneous Systems: Implications for Green Energy Usage and Performance. - Aniket Chakrabarti; Srinivasan Parthasarathy 001; Christopher Stewart (ICPP, 2017)

Fast Change Point Detection on Dynamic Social Networks. - Yu Wang 001; Aniket Chakrabarti; David Sivakoff; Srinivasan Parthasarathy 001 (IJCAI, 2017)

Visualizing Attributed Graphs via Terrain Metaphor. - Yang Zhang; Yusu Wang 001; Srinivasan Parthasarathy 001 (KDD, 2017)

Adaptive Bayesian Sampling with Monte Carlo EM. - Anirban Roychowdhury; Srinivasan Parthasarathy 001 (NIPS, 2017)

Breaking Cycles In Noisy Hierarchies. - Jiankai Sun; Deepak Ajwani; Patrick K. Nicholson; Alessandra Sala; Srinivasan Parthasarathy 001 (WebSci, 2017)

Predicting Trust Relations Within a Social Network: A Case Study on Emergency Response. - Nikhita Vedula; Srinivasan Parthasarathy 001; Valerie L. Shalin (WebSci, 2017)

Hierarchical Change Point Detection on Dynamic Networks. - Yu Wang 001; Aniket Chakrabarti; David Sivakoff; Srinivasan Parthasarathy 001 (WebSci, 2017)

SEANO: Semi-supervised Embedding in Attributed Networks with Outliers. - Jiongqian Liang; Peter Jacobs; Srinivasan Parthasarathy 001 (CoRR, 2017)

Accelerated Stochastic Quasi-Newton Optimization on Riemann Manifolds. - Anirban Roychowdhury; Srinivasan Parthasarathy 001 (CoRR, 2017)

Patterns in Spatiotemporal Data. - Hui Yang 002; Srinivasan Parthasarathy 001 (Encyclopedia of GIS, 2017)

Biomedical Data Mining, Spatial. - Keith Marsolo; Michael D. Twa; Mark A. Bullimore; Srinivasan Parthasarathy 001 (Encyclopedia of GIS, 2017)

D-record: Disaster Response and Relief Coordination Pipeline. - Shruti Kar; Hussein S. Al-Olimat; Krishnaprasad Thirunarayan; Valerie L. Shalin; Amit P. Sheth; Srinivasan Parthasarathy 001 (ARIC@SIGSPATIAL, 2018)

Efficient sparse-matrix multi-vector product on GPUs. - Changwan Hong; Aravind Sukumaran-Rajam; Bortik Bandyopadhyay; Jinsung Kim; Süreyya Emre Kurt; Israt Nisa; Shivani Sabhlok; Ümit V. Çatalyürek; Srinivasan Parthasarathy 001; P. Sadayappan (HPDC, 2018)

Characterizing I/O optimization opportunities for array-centric applications on HDFS. - Donghe Kang; Vedang Patel; Kalyan Khandrika; Spyros Blanas; Yang Wang 009; Srinivasan Parthasarathy 001 (HPEC, 2018)

Parallel Latent Dirichlet Allocation on GPUs. - Gordon Euhyun Moon; Israt Nisa; Aravind Sukumaran-Rajam; Bortik Bandyopadhyay; Srinivasan Parthasarathy 001; P. Sadayappan (ICCS (2), 2018)

Semi-Supervised Community Detection Using Structure and Size. - Arjun Bakshi; Srinivasan Parthasarathy 001; Kannan Srinivasan 001 (ICDM, 2018)

QDEE: Question Difficulty and Expertise Estimation in Community Question Answering Sites. - Jiankai Sun; Sobhan Moosavi; Rajiv Ramnath; Srinivasan Parthasarathy 001 (ICWSM, 2018)

Semi-supervised Embedding in Attributed Networks with Outliers. - Jiongqian Liang; Peter Jacobs; Jiankai Sun; Srinivasan Parthasarathy 001 (SDM, 2018)

Enriching Taxonomies With Functional Domain Knowledge. - Nikhita Vedula; Patrick K. Nicholson; Deepak Ajwani; Sourav Dutta 001; Alessandra Sala; Srinivasan Parthasarathy 001 (SIGIR, 2018)

Human-Guided Flood Mapping: From Experts to the Crowd. - Jiongqian Liang; Peter Jacobs; Srinivasan Parthasarathy 001 (WWW (Companion Volume), 2018)

Hypergraph Clustering: A Modularity Maximization Approach. - Tarun Kumar; Sankaran Vaidyanathan; Harini Ananthapadmanabhan; Srinivasan Parthasarathy 001; Balaraman Ravindran (CoRR, 2018)

ColdRoute: effective routing of cold questions in stack exchange sites. - Jiankai Sun; Abhinav Vishnu; Aniket Chakrabarti; Charles Siegel; Srinivasan Parthasarathy 001 (Data Min. Knowl. Discov., 2018)

NetClass: A network-based relational model for document classification. - Fernando Mourão; Leonardo Rocha 001; Felipe Viegas; Thiago Salles; Marcos André Gonçalves; Srinivasan Parthasarathy 001; Wagner Meira Jr. (Inf. Sci., 2018)

Prioritized Relationship Analysis in Heterogeneous Information Networks. - Jiongqian Liang; Deepak Ajwani; Patrick K. Nicholson; Alessandra Sala; Srinivasan Parthasarathy 001 (ACM Trans. Knowl. Discov. Data, 2018)

Symmetrization for Embedding Directed Graphs. - Jiankai Sun; Srinivasan Parthasarathy 001 (AAAI, 2019)

ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation. - Jiankai Sun; Bortik Bandyopadhyay; Armin Bashizade; Jiongqian Liang; P. Sadayappan; Srinivasan Parthasarathy 001 (AAAI, 2019)

Spread Sampling and Its Applications on Graphs. - Yu Wang 001; Bortik Bandyopadhyay; Vedang Patel; Aniket Chakrabarti; David Sivakoff; Srinivasan Parthasarathy 001 (COMPLEX NETWORKS (1), 2019)

A New Measure of Modularity in Hypergraphs: Theoretical Insights and Implications for Effective Clustering. - Tarun Kumar; Sankaran Vaidyanathan; Harini Ananthapadmanabhan; Srinivasan Parthasarathy 001; Balaraman Ravindran (COMPLEX NETWORKS (1), 2019)

Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights. - Sobhan Moosavi; Mohammad Hossein Samavatian; Srinivasan Parthasarathy 001; Radu Teodorescu; Rajiv Ramnath (SIGSPATIAL/GIS, 2019)

Henosis: workload-driven small array consolidation and placement for HDF5 applications on heterogeneous data stores. - Donghe Kang; Vedang Patel; Ashwati Nair; Spyros Blanas; Yang Wang 009; Srinivasan Parthasarathy 001 (ICS, 2019)

Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data. - Sobhan Moosavi; Mohammad Hossein Samavatian; Arnab Nandi 001; Srinivasan Parthasarathy 001; Rajiv Ramnath (KDD, 2019)

Fast and Efficient Cross Band Channel Prediction Using Machine Learning. - Arjun Bakshi; Yifan Mao; Kannan Srinivasan 001; Srinivasan Parthasarathy 001 (MobiCom, 2019)

A Pipeline for Disaster Response and Relief Coordination. - Pranav Maneriker; Nikhita Vedula; Hussein S. Al-Olimat; Jiayong Liang; Omar El-Khoury; Ethan J. Kubatko; Desheng Liu; Krishnaprasad Thirunarayan; Valerie L. Shalin; Amit P. Sheth; Srinivasan Parthasarathy 001 (SIGIR, 2019)

Fractal: A General-Purpose Graph Pattern Mining System. - Vinícius Vitor dos Santos Dias; Carlos H. C. Teixeira; Dorgival O. Guedes; Wagner Meira Jr.; Srinivasan Parthasarathy 001 (SIGMOD Conference, 2019)

BOLT-K: Bootstrapping Ontology Learning via Transfer of Knowledge. - Nikhita Vedula; Pranav Maneriker; Srinivasan Parthasarathy 001 (WWW, 2019)

PL-NMF: Parallel Locality-Optimized Non-negative Matrix Factorization. - Gordon Euhyun Moon; Aravind Sukumaran-Rajam; Srinivasan Parthasarathy 001; P. Sadayappan (CoRR, 2019)

Towards Open Intent Discovery for Conversational Text. - Nikhita Vedula; Nedim Lipka; Pranav Maneriker; Srinivasan Parthasarathy 001 (CoRR, 2019)

Network Representation Learning: Consolidation and Renewed Bearing. - Saket Gurukar; Priyesh Vijayan; Aakash Srinivasan; Goonmeet Bajaj; Chen Cai; Moniba Keymanesh; Saravana Kumar; Pranav Maneriker; Anasua Mitra; Vedang Patel; Balaraman Ravindran; Srinivasan Parthasarathy 001 (CoRR, 2019)

A Countrywide Traffic Accident Dataset. - Sobhan Moosavi; Mohammad Hossein Samavatian; Srinivasan Parthasarathy 001; Rajiv Ramnath (CoRR, 2019)

Automatic Table completion using Knowledge Base. - Bortik Bandyopadhyay; Xiang Deng 001; Goonmeet Bajaj; Huan Sun 001; Srinivasan Parthasarathy 001 (CoRR, 2019)

Twitter Watch: Leveraging Social Media to Monitor and Predict Collective-Efficacy of Neighborhoods. - Moniba Keymanesh; Saket Gurukar; Bethany Boettner; Christopher R. Browning; Catherine A. Calder; Srinivasan Parthasarathy 001 (CoRR, 2019)

An End-to-End Framework for Cold Question Routing in Community Question Answering Services. - Jiankai Sun; Jie Zhao 013; Huan Sun 001; Srinivasan Parthasarathy 001 (CoRR, 2019)

How Effectively Can Machines Defend Against Machine-Generated Fake News? An Empirical Study. - Meghana Moorthy Bhat; Srinivasan Parthasarathy 001 (Insights, 2020)

Interpretable Multi-headed Attention for Abstractive Summarization at Controllable Lengths. - Ritesh Sarkhel; Moniba Keymanesh; Arnab Nandi 001; Srinivasan Parthasarathy 001 (COLING, 2020)

Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing. - Goonmeet Bajaj; Bortik Bandyopadhyay; Daniel Schmidt; Pranav Maneriker; Christopher Myers; Srinivasan Parthasarathy 001 (CVPR Workshops, 2020)

JACKPOT: Online Experimentation of Cloud Microservices. - Mert Toslali; Srinivasan Parthasarathy 001; Fábio Oliveira; Ayse K. Coskun (HotCloud, 2020)

Towards Quantifying the Distance between Opinions. - Saket Gurukar; Deepak Ajwani; Sourav Dutta 001; Juho Lauri; Srinivasan Parthasarathy 001; Alessandra Sala (ICWSM, 2020)

EndCold: An End-to-End Framework for Cold Question Routing in Community Question Answering Services. - Jiankai Sun; Jie Zhao 013; Huan Sun 001; Srinivasan Parthasarathy 001 (IJCAI, 2020)

ALO-NMF: Accelerated Locality-Optimized Non-negative Matrix Factorization. - Gordon Euhyun Moon; J. Austin Ellis; Aravind Sukumaran-Rajam; Srinivasan Parthasarathy 001; P. Sadayappan (KDD, 2020)

A Unified Non-Negative Matrix Factorization Framework for Semi Supervised Learning on Graphs. - Anasua Mitra; Priyesh Vijayan; Srinivasan Parthasarathy 001; Balaraman Ravindran (SDM, 2020)

HPRA: Hyperedge Prediction using Resource Allocation. - Tarun Kumar; K. Darwin; Srinivasan Parthasarathy 001; Balaraman Ravindran (WebSci, 2020)

Open Intent Extraction from Natural Language Interactions. - Nikhita Vedula; Nedim Lipka; Pranav Maneriker; Srinivasan Parthasarathy 001 (WWW, 2020)

Hypergraph clustering by iteratively reweighted modularity maximization. - Tarun Kumar; Sankaran Vaidyanathan; Harini Ananthapadmanabhan; Srinivasan Parthasarathy 001; Balaraman Ravindran (Appl. Netw. Sci., 2020)

Graph embedding on biomedical networks: methods, applications and evaluations. - Xiang Yue; Zhen Wang 041; Jingong Huang; Srinivasan Parthasarathy 001; Soheil Moosavinasab; Yungui Huang; Simon M. Lin; Wen Zhang 008; Ping Zhang 016; Huan Sun 001 (Bioinform., 2020)

Transfer Learning for Abstractive Summarization at Controllable Budgets. - Ritesh Sarkhel; Moniba Keymanesh; Arnab Nandi 001; Srinivasan Parthasarathy 001 (CoRR, 2020)

HAM: Hybrid Associations Model with Pooling for Sequential Recommendation. - Bo Peng 009; Zhiyun Ren; Srinivasan Parthasarathy 001; Xia Ning (CoRR, 2020)

M2pht: Mixed Models with Preferences and Hybrid Transitions for Next-Basket Recommendation. - Bo Peng 009; Zhiyun Ren; Srinivasan Parthasarathy 001; Xia Ning (CoRR, 2020)

DrugDBEmbed : Semantic Queries on Relational Database using Supervised Column Encodings. - Bortik Bandyopadhyay; Pranav Maneriker; Vedang Patel; Saumya Yashmohini Sahai; Ping Zhang 016; Srinivasan Parthasarathy 001 (CoRR, 2020)

Molecule Optimization via Fragment-based Generative Models. - Ziqi Chen; Martin Renqiang Min; Srinivasan Parthasarathy 001; Xia Ning (CoRR, 2020)

LocationTrails: a federated approach to learning location embeddings. - Saket Gurukar; Srinivasan Parthasarathy 001; Rajiv Ramnath; Catherine A. Calder; Sobhan Moosavi (ASONAM, 2021)

Iter8: Online Experimentation in the Cloud. - Mert Toslali; Srinivasan Parthasarathy 001; Fábio Oliveira; Hai Huang 002; Ayse K. Coskun (SoCC, 2021)

SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis. - Pranav Maneriker; Yuntian He; Srinivasan Parthasarathy 001 (EMNLP (1), 2021)

DistMILE: A Distributed Multi-Level Framework for Scalable Graph Embedding. - Yuntian He; Saket Gurukar; Pouya Kousha; Hari Subramoni; Dhabaleswar K. Panda 001; Srinivasan Parthasarathy 001 (HiPC, 2021)

MILE: A Multi-Level Framework for Scalable Graph Embedding. - Jiongqian Liang; Saket Gurukar; Srinivasan Parthasarathy 001 (ICWSM, 2021)

Open Intent Extraction from Natural Language Interactions (Extended Abstract). - Nikhita Vedula; Nedim Lipka; Pranav Maneriker; Srinivasan Parthasarathy 001 (IJCAI, 2021)

Semi-Supervised Deep Learning for Multiplex Networks. - Anasua Mitra; Priyesh Vijayan; Sanasam Ranbir Singh; Diganta Goswami; Srinivasan Parthasarathy 001; Balaraman Ravindran (KDD, 2021)

Knowledge-Driven Drug-Use NamedEntity Recognition with Distant Supervision. - Goonmeet Bajaj; Ugur Kursuncu; Manas Gaur; Usha Lokala; Ayaz Hyder; Srinivasan Parthasarathy 001; Amit P. Sheth (MedInfo, 2021)

Tritium: A Cross-layer Analytics System for Enhancing Microservice Rollouts in the Cloud. - Sadie L. Allen; Mert Toslali; Srinivasan Parthasarathy 001; Fábio Oliveira; Ayse K. Coskun (WOC@Middleware, 2021)

1st International Workshop on Data Assessment and Readiness for AI. - Bortik Bandyopadhyay; Sambaran Bandyopadhyay; Srikanta Bedathur; Nitin Gupta 005; Sameep Mehta; Shashank Mujumdar; Srinivasan Parthasarathy 001; Hima Patel (PAKDD (Workshops), 2021)

FACE-KEG: Fact Checking Explained using KnowledgE Graphs. - Nikhita Vedula; Srinivasan Parthasarathy 001 (WSDM, 2021)

Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver Identification. - Sobhan Moosavi; Pravar D. Mahajan; Srinivasan Parthasarathy 001; Colleen Saunders-Chukwu; Rajiv Ramnath (CoRR, 2021)

eDarkTrends: Harnessing Social Media Trends in Substance use disorders for Opioid Listings on Cryptomarket. - Usha Lokala; Francois R. Lamy; Triyasha Ghosh Dastidar; Kaushik Roy 009; Raminta Daniulaityte; Srinivasan Parthasarathy 001; Amit P. Sheth (CoRR, 2021)

StyleML: Stylometry with Structure and Multitask Learning for Darkweb Markets. - Pranav Maneriker; Yuntian He; Srinivasan Parthasarathy 001 (CoRR, 2021)

Fairness-aware Summarization for Justified Decision-Making. - Moniba Keymanesh; Tanya Y. Berger-Wolf; Micha Elsner; Srinivasan Parthasarathy 001 (CoRR, 2021)

Evaluating Biomedical BERT Models for Vocabulary Alignment at Scale in the UMLS Metathesaurus. - Goonmeet Bajaj; Vinh Nguyen; Thilini Wijesiriwardene; Hong Yung Yip; Vishesh Javangula; Srinivasan Parthasarathy 001; Amit P. Sheth; Olivier Bodenreider (CoRR, 2021)

Privacy Policy Question Answering Assistant: A Query-Guided Extractive Summarization Approach. - Moniba Keymanesh; Micha Elsner; Srinivasan Parthasarathy 001 (CoRR, 2021)

A deep generative model for molecule optimization via one fragment modification. - Ziqi Chen; Martin Renqiang Min; Srinivasan Parthasarathy 001; Xia Ning (Nat. Mach. Intell., 2021)

Evaluating Biomedical Word Embeddings for Vocabulary Alignment at Scale in the UMLS Metathesaurus Using Siamese Networks. - Goonmeet Bajaj; Vinh Nguyen; Thilini Wijesiriwardene; Hong Yung Yip; Vishesh Javangula; Amit P. Sheth; Srinivasan Parthasarathy 001; Olivier Bodenreider (Insights@ACL, 2022)

FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification. - Sean Current; Yuntian He; Saket Gurukar; Srinivasan Parthasarathy 001 (EAAMO, 2022)

Revisiting Link Prediction on Heterogeneous Graphs with a Multi-view Perspective. - Anasua Mitra; Priyesh Vijayan; Sanasam Ranbir Singh; Diganta Goswami; Srinivasan Parthasarathy 001; Balaraman Ravindran (ICDM, 2022)

Context-Enriched Learning Models for Aligning Biomedical Vocabularies at Scale in the UMLS Metathesaurus. - Vinh Nguyen; Hong Yung Yip; Goonmeet Bajaj; Thilini Wijesiriwardene; Vishesh Javangula; Srinivasan Parthasarathy 001; Amit P. Sheth; Olivier Bodenreider (WWW, 2022)

Leveraging network representation learning and community detection for analyzing the activity profiles of adolescents. - Saket Gurukar; Bethany Boettner; Christopher R. Browning; Catherine A. Calder; Srinivasan Parthasarathy 001 (Appl. Netw. Sci., 2022)

FairMod: Fair Link Prediction and Recommendation via Graph Modification. - Sean Current; Yuntian He; Saket Gurukar; Srinivasan Parthasarathy 001 (CoRR, 2022)

UBERT: A Novel Language Model for Synonymy Prediction at Scale in the UMLS Metathesaurus. - Thilini Wijesiriwardene; Vinh Nguyen; Goonmeet Bajaj; Hong Yung Yip; Vishesh Javangula; Yuqing Mao; Kin Wah Fung; Srinivasan Parthasarathy 001; Amit P. Sheth; Olivier Bodenreider (CoRR, 2022)

Prospective Preference Enhanced Mixed Attentive Model for Session-based Recommendation. - Bo Peng 009; Chang-Yu Tai; Srinivasan Parthasarathy 001; Xia Ning (CoRR, 2022)

Recursive Attentive Methods with Reused Item Representations for Sequential Recommendation. - Bo Peng 009; Srinivasan Parthasarathy 001; Xia Ning (CoRR, 2022)

FairMILE: A Multi-Level Framework for Fair and Scalable Graph Representation Learning. - Yuntian He; Saket Gurukar; Srinivasan Parthasarathy 001 (CoRR, 2022)

Scaling Graph Propagation Kernels for Predictive Learning. - Priyesh Vijayan; Yash Chandak; Mitesh M. Khapra; Srinivasan Parthasarathy 001; Balaraman Ravindran (Frontiers Big Data, 2022)

MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest. - Saket Gurukar; Nikil Pancha; Andrew Zhai; Eric Kim; Samson Hu; Srinivasan Parthasarathy 001; Charles Rosenberg 001; Jure Leskovec (Proc. VLDB Endow., 2022)

WebMILE: Democratizing Network Representation Learning at Scale. - Yuntian He; Yue Zhang; Saket Gurukar; Srinivasan Parthasarathy 001 (Proc. VLDB Endow., 2022)

$ mathop { mathtt {HAM}}$HAM: Hybrid Associations Models for Sequential Recommendation. - Bo Peng 009; Zhiyun Ren; Srinivasan Parthasarathy 001; Xia Ning (IEEE Trans. Knowl. Data Eng., 2022)

Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress. - Saket Gurukar; Priyesh Vijayan; Srinivasan Parthasarathy 001; Balaraman Ravindran; Aakash Srinivasan; Goonmeet Bajaj; Chen Cai; Moniba Keymanesh; Saravana Kumar; Pranav Maneriker; Anasua Mitra; Vedang Patel (Trans. Mach. Learn. Res., 2022)

Knowledge Gaps: A Challenge for Agent-Based Automatic Task Completion. - Goonmeet Bajaj; Sean Current; Daniel Schmidt; Bortik Bandyopadhyay; Christopher W. Myers; Srinivasan Parthasarathy 001 (Top. Cogn. Sci., 2022)

PolicyClusterGCN: Identifying Efficient Clusters for Training Graph Convolutional Networks. - Saket Gurukar; Shaileshh Bojja Venkatakrishnan; Balaraman Ravindran; Srinivasan Parthasarathy 001 (ASONAM, 2023)

FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning. - Yuntian He; Saket Gurukar; Srinivasan Parthasarathy 001 (EAAMO, 2023)

Graph Pattern Mining Paradigms: Consolidation and Renewed Bearing. - Vinícius Vitor dos Santos Dias; Samuel Ferraz; Aditya Vadlamani; Mahdi Erfanian; Carlos H. C. Teixeira; Dorgival O. Guedes; Wagner Meira Jr.; Srinivasan Parthasarathy 001 (HiPC, 2023)

Poster Paper: Efficient Navigation of Cloud Performance with 'nuffTrace. - S. Qasim; Mert Toslali; Quentin Clark; Srinivasan Parthasarathy 001; Fábio Oliveira; A. Liu; Gianluca Stringhini; Ayse K. Coskun (IC2E, 2023)

HAM: Hybrid Associations Models for Sequential Recommendation (Extended abstract). - Bo Peng 009; Zhiyun Ren; Srinivasan Parthasarathy 001; Xia Ning (ICDE, 2023)

Online Fairness Auditing through Iterative Refinement. - Pranav Maneriker; Codi Burley; Srinivasan Parthasarathy 001 (KDD, 2023)

Fast and Optimal Beam Alignment for Off-the-Shelf mmWave Devices. - Wei-Han Chen; Xin Liu 045; Kannan Srinivasan 001; Srinivasan Parthasarathy 001 (MobiWac, 2023)

Efficient Fair Graph Representation Learning Using a Multi-level Framework. - Yuntian He; Saket Gurukar; Srinivasan Parthasarathy 001 (WWW (Companion Volume), 2023)

Shape-conditioned 3D Molecule Generation via Equivariant Diffusion Models. - Ziqi Chen; Bo Peng 009; Srinivasan Parthasarathy 001; Xia Ning (CoRR, 2023)

Multi-modality Meets Re-learning: Mitigating Negative Transfer in Sequential Recommendation. - Bo Peng 009; Srinivasan Parthasarathy 001; Xia Ning (CoRR, 2023)

Towards Efficient and Effective Adaptation of Large Language Models for Sequential Recommendation. - Bo Peng 009; Ben Burns; Ziqi Chen; Srinivasan Parthasarathy 001; Xia Ning (CoRR, 2023)

M2: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation. - Bo Peng 009; Zhiyun Ren; Srinivasan Parthasarathy 001; Xia Ning (IEEE Trans. Knowl. Data Eng., 2023)

FTP: Enabling Fast Beam-Training for Optimal mmWave Beamforming. - Wei-Han Chen; Xin Liu 045; Kannan Srinivasan 001; Srinivasan Parthasarathy 001 (INFOCOM, 2024)

KiL 2024: 4th International Workshop on Knowledge-infused Learning (Towards Consistent, Reliable, Explainable, and Safe LLMs). - Manas Gaur; Efthymia Tsamoura; Edward Raff; Nikhita Vedula; Srinivasan Parthasarathy 001 (KDD, 2024)

Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain. - Amin Karimi Monsefi; Payam Karisani; Mengxi Zhou; Stacey Choi; Nathan Doble; Heng Ji 001; Srinivasan Parthasarathy 001; Rajiv Ramnath (KDD, 2024)

HORCRUX: Accurate Cross Band Channel Prediction. - Avishek Banerjee; Xingya Zhao; Vishnu Chhabra; Kannan Srinivasan 001; Srinivasan Parthasarathy 001 (MobiCom, 2024)

HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs. - Yue Zhang; Yuntian He; Saket Gurukar; Srinivasan Parthasarathy 001 (CoRR, 2024)

REASONS: A benchmark for REtrieval and Automated citationS Of scieNtific Sentences using Public and Proprietary LLMs. - Deepa Tilwani; Yash Saxena; Ali Mohammadi; Edward Raff; Amit P. Sheth; Srinivasan Parthasarathy 001; Manas Gaur (CoRR, 2024)

An Online Probabilistic Distributed Tracing System. - M. Toslali; S. Qasim; Srinivasan Parthasarathy 001; Fábio Oliveira; H. Huang; Gianluca Stringhini; Z. Liu; Ayse K. Coskun (CoRR, 2024)

Benchmarking Graph Conformal Prediction: Empirical Analysis, Scalability, and Theoretical Insights. - Pranav Maneriker; Aditya Vadlamani; Anutam Srinivasan; Yuntian He; Ali Payani; Srinivasan Parthasarathy 001 (CoRR, 2024)

Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks. - Yuntian He; Pranav Maneriker; Anutam Srinivasan; Aditya Vadlamani; Srinivasan Parthasarathy 001 (CoRR, 2024)

Grounding From an AI and Cognitive Science Lens. - Goonmeet Bajaj; Valerie L. Shalin; Srinivasan Parthasarathy 001; Amit P. Sheth (IEEE Intell. Syst., 2024)

DuMato: An efficient warp-centric subgraph enumeration system for GPU. - Samuel Ferraz; Vinícius Vitor dos Santos Dias; Carlos H. C. Teixeira; Srinivasan Parthasarathy 001; George Teodoro; Wagner Meira Jr. (J. Parallel Distributed Comput., 2024)

Intention enhanced mixed attentive model for session-based recommendation. - Bo Peng 009; Srinivasan Parthasarathy 001; Xia Ning (Data Min. Knowl. Discov., 2024)

Modeling Sequences as Star Graphs to Address Over-Smoothing in Self-Attentive Sequential Recommendation. - Bo Peng 009; Ziqi Chen; Srinivasan Parthasarathy 001; Xia Ning (ACM Trans. Knowl. Discov. Data, 2024)

A Generic Framework for Conformal Fairness. - Aditya T. Vadlamani; Anutam Srinivasan; Pranav Maneriker; Ali Payani; Srinivasan Parthasarathy 001 (ICLR, 2025)

(CPER) From Guessing to Asking: An Approach to Resolving Persona Knowledge Gap in LLMs during Multi-Turn Conversations. - Sarvesh Baskar; Manas Gaur; Srinivasan Parthasarathy 001; Tanmay Tulsidas Verlekar (NAACL (Student Research Workshop), 2025)

Interactive Fairness Auditing: Leveraging AVOIR for Dynamic Evaluation and Mitigation. - Amin Meghrazi; Pranav Maneriker; Swati Padhee; Srinivasan Parthasarathy 001 (SIGMOD Conference Companion, 2025)

Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in Graphs. - Pranav Maneriker; Aditya T. Vadlamani; Anutam Srinivasan; Yuntian He; Ali Payani; Srinivasan Parthasarathy 001 (Trans. Mach. Learn. Res., 2025)

From Guessing to Asking: An Approach to Resolving the Persona Knowledge Gap in LLMs during Multi-Turn Conversations. - Sarvesh Baskar; Tanmay Tulsidas Verelakar; Srinivasan Parthasarathy 001; Manas Gaur (CoRR, 2025)

Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains. - Yash Saxena; Ankur Padia; Mandar S. Chaudhary; Kalpa Gunaratna; Srinivasan Parthasarathy 001; Manas Gaur (CoRR, 2025)

DiffER: Categorical Diffusion for Chemical Retrosynthesis. - Sean Current; Ziqi Chen; Daniel Adu-Ampratwum; Xia Ning; Srinivasan Parthasarathy 001 (CoRR, 2025)

tt DiffER: categorical diffusion ensembles for single-step chemical retrosynthesis. - Sean Current; Ziqi Chen; Daniel Adu-Ampratwum; Xia Ning; Srinivasan Parthasarathy 001 (J. Cheminformatics, 2025)