Srinivasan Parthasarathy
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
187
Venues
58
Active years
1986–2026
Best venue rank
A*
Where they publish
- A*KDD29 papers
- A*ICDM16 papers
- ASDM10 papers
- A*ICDE9 papers
- A*WWW9 papers
- A*INFOCOM7 papers
- ACIKM7 papers
- A*SIGMOD6 papers
- A*IJCAI5 papers
- AICS5 papers
- NationalHiPC4 papers
- AICWSM4 papers
- MulticonferenceICCS4 papers
- ASC4 papers
- CBIBE4 papers
- BPAKDD3 papers
- A*SIGIR3 papers
- AHPDC3 papers
- BEDBT3 papers
- BPPoPP3 papers
- A*SIGCOMM2 papers
- AWSDM2 papers
- A*MOBICOM2 papers
- A*AAAI2 papers
- A*ICML2 papers
- A*SIGMETRICS2 papers
- AISMB2 papers
- BMOBIHOC2 papers
- A*VLDB2 papers
- A*FOCS2 papers
- A*ICRA2 papers
- A*ICLR1 paper
- ANAACL1 paper
- BIC2E1 paper
- BCLOUD1 paper
- A*EMNLP1 paper
- AMiddleware1 paper
- BCOLING1 paper
- A*COLT1 paper
- A*CVPR1 paper
- BICPP1 paper
- ADATE1 paper
- BDSAA1 paper
- A*DAC1 paper
- CDEXA1 paper
- BEuroPar1 paper
- BGLOBECOM1 paper
- A*PODS1 paper
- NationalCOMAD1 paper
- BAIME1 paper
- CDaMoN1 paper
- AICDCS1 paper
- A*SODA1 paper
- BCCGRID1 paper
- CSBAC-PAD1 paper
- A*ISCA1 paper
- BSPAA1 paper
- A*SOSP1 paper
Papers
187 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SIGCOMM | Toward WAN-Aware LLM Training Across Heterogeneous, Geo-Distributed Sites. | Ziyue Luo, Jiaxuan Cai, Cedric Le Denmat, Srijith Nair, Fatemeh Nourzad, Rohith Krishnan Sudha, Qinhang Wu, Jifan Zhang, Sungjae Lee, Zhe Li, Peiwen Qiu, Siddharth Shah, Rishabh Sharma, Yinglun Xia, Xue Zheng, Zidong Liu, Bicheng Ying, Kaushik R. Chowdhury, Gauri Joshi, Yingbin Liang, Robert D. Nowak, Srinivasan Parthasarathy, Saurav Prakash, Balaraman Ravindran, Sanjay Shakkottai, Ness B. Shroff, Sundararajan Srinivasan, Haibo Yang, Aylin Yener, Jia Liu |
| 2026 | WSDM | HeteroMILE: a Multi-Level Graph Representation Learning framework for Heterogeneous Graphs. | Yue Zhang, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy |
| 2025 | ICDM | Crisis Observatory: Extracting Credible Signals During a Crisis in the Age of LLMs. | Kuan-Chieh Lo, Pranav Maneriker, Sriram Sai Ganesh, Dominik Winecki, Kelly Garrett, Ayaz Hyder, Arnab Nandi, Valerie L. Shalin, Shannon Bowen, Amit P. Sheth, Srinivasan Parthasarathy |
| 2025 | ICDM | BLB-HGNN: Bag of Little Bootstraps for Training Heterogeneous GNNs. | Aditya T. Vadlamani, Sama Salarian, Saket Gurukar, Srinivasan Parthasarathy |
| 2025 | ICLR | A Generic Framework for Conformal Fairness. | Aditya T. Vadlamani, Anutam Srinivasan, Pranav Maneriker, Ali Payani, Srinivasan Parthasarathy |
| 2025 | NAACL | (CPER) From Guessing to Asking: An Approach to Resolving Persona Knowledge Gap in LLMs during Multi-Turn Conversations. | Sarvesh Baskar, Manas Gaur, Srinivasan Parthasarathy, Tanmay Tulsidas Verlekar |
| 2025 | SIGMOD | Interactive Fairness Auditing: Leveraging AVOIR for Dynamic Evaluation and Mitigation. | Amin Meghrazi, Pranav Maneriker, Swati Padhee, Srinivasan Parthasarathy |
| 2024 | INFOCOM | FTP: Enabling Fast Beam-Training for Optimal mmWave Beamforming. | Wei-Han Chen, Xin Liu, Kannan Srinivasan, Srinivasan Parthasarathy |
| 2024 | KDD | KiL 2024: 4th International Workshop on Knowledge-infused Learning | Manas Gaur, Efthymia Tsamoura, Edward Raff, Nikhita Vedula, Srinivasan Parthasarathy |
| 2024 | KDD | Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain. | Amin Karimi Monsefi, Payam Karisani, Mengxi Zhou, Stacey Choi, Nathan Doble, Heng Ji, Srinivasan Parthasarathy, Rajiv Ramnath |
| 2024 | MOBICOM | HORCRUX: Accurate Cross Band Channel Prediction. | Avishek Banerjee, Xingya Zhao, Vishnu Chhabra, Kannan Srinivasan, Srinivasan Parthasarathy |
| 2024 | SIGCOMM | TraceWeaver: Distributed Request Tracing for Microservices Without Application Modification. | Sachin Ashok, Vipul Harsh, Brighten Godfrey, Radhika Mittal, Srinivasan Parthasarathy, Larisa Shwartz |
| 2023 | HiPC | Graph Pattern Mining Paradigms: Consolidation and Renewed Bearing. | Vincius Vitor dos Santos Dias, Samuel Ferraz, Aditya Vadlamani, Mahdi Erfanian, Carlos H. C. Teixeira, Dorgival O. Guedes, Wagner Meira Jr., Srinivasan Parthasarathy |
| 2023 | IC2E | Poster Paper: Efficient Navigation of Cloud Performance with 'nuffTrace. | S. Qasim, Mert Toslali, Quentin Clark, Srinivasan Parthasarathy, Fbio Oliveira, A. Liu, Gianluca Stringhini, Ayse K. Coskun |
| 2023 | ICDE | HAM: Hybrid Associations Models for Sequential Recommendation (Extended abstract). | Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning |
| 2023 | KDD | Online Fairness Auditing through Iterative Refinement. | Pranav Maneriker, Codi Burley, Srinivasan Parthasarathy |
| 2023 | WWW | Efficient Fair Graph Representation Learning Using a Multi-level Framework. | Yuntian He, Saket Gurukar, Srinivasan Parthasarathy |
| 2022 | ICDM | Revisiting Link Prediction on Heterogeneous Graphs with a Multi-view Perspective. | Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran |
| 2022 | WWW | 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, Amit P. Sheth, Olivier Bodenreider |
| 2021 | CLOUD | Iter8: Online Experimentation in the Cloud. | Mert Toslali, Srinivasan Parthasarathy, Fbio Oliveira, Hai Huang, Ayse K. Coskun |
| 2021 | EMNLP | SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis. | Pranav Maneriker, Yuntian He, Srinivasan Parthasarathy |
| 2021 | HiPC | DistMILE: A Distributed Multi-Level Framework for Scalable Graph Embedding. | Yuntian He, Saket Gurukar, Pouya Kousha, Hari Subramoni, Dhabaleswar K. Panda, Srinivasan Parthasarathy |
| 2021 | IJCAI | Open Intent Extraction from Natural Language Interactions (Extended Abstract). | Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy |
| 2021 | ICWSM | MILE: A Multi-Level Framework for Scalable Graph Embedding. | Jiongqian Liang, Saket Gurukar, Srinivasan Parthasarathy |
| 2021 | KDD | Semi-Supervised Deep Learning for Multiplex Networks. | Anasua Mitra, Priyesh Vijayan, Sanasam Ranbir Singh, Diganta Goswami, Srinivasan Parthasarathy, Balaraman Ravindran |
| 2021 | Middleware | Tritium: A Cross-layer Analytics System for Enhancing Microservice Rollouts in the Cloud. | Sadie L. Allen, Mert Toslali, Srinivasan Parthasarathy, Fbio Oliveira, Ayse K. Coskun |
| 2021 | PAKDD | 1st International Workshop on Data Assessment and Readiness for AI. | Bortik Bandyopadhyay, Sambaran Bandyopadhyay, Srikanta Bedathur, Nitin Gupta, Sameep Mehta, Shashank Mujumdar, Srinivasan Parthasarathy, Hima Patel |
| 2021 | WSDM | FACE-KEG: Fact Checking Explained using KnowledgE Graphs. | Nikhita Vedula, Srinivasan Parthasarathy |
| 2020 | COLING | Interpretable Multi-headed Attention for Abstractive Summarization at Controllable Lengths. | Ritesh Sarkhel, Moniba Keymanesh, Arnab Nandi, Srinivasan Parthasarathy |
| 2020 | COLT | Adaptive Submodular Maximization under Stochastic Item Costs. | Srinivasan Parthasarathy |
| 2020 | CVPR | 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 |
| 2020 | IJCAI | EndCold: An End-to-End Framework for Cold Question Routing in Community Question Answering Services. | Jiankai Sun, Jie Zhao, Huan Sun, Srinivasan Parthasarathy |
| 2020 | ICWSM | Towards Quantifying the Distance between Opinions. | Saket Gurukar, Deepak Ajwani, Sourav Dutta, Juho Lauri, Srinivasan Parthasarathy, Alessandra Sala |
| 2020 | KDD | ALO-NMF: Accelerated Locality-Optimized Non-negative Matrix Factorization. | Gordon Euhyun Moon, J. Austin Ellis, Aravind Sukumaran-Rajam, Srinivasan Parthasarathy, P. Sadayappan |
| 2020 | WWW | Open Intent Extraction from Natural Language Interactions. | Nikhita Vedula, Nedim Lipka, Pranav Maneriker, Srinivasan Parthasarathy |
| 2020 | SDM | A Unified Non-Negative Matrix Factorization Framework for Semi Supervised Learning on Graphs. | Anasua Mitra, Priyesh Vijayan, Srinivasan Parthasarathy, Balaraman Ravindran |
| 2019 | AAAI | Symmetrization for Embedding Directed Graphs. | Jiankai Sun, Srinivasan Parthasarathy |
| 2019 | AAAI | ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation. | Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade, Jiongqian Liang, P. Sadayappan, Srinivasan Parthasarathy |
| 2019 | IJCAI | Optimal Exploitation of Clustering and History Information in Multi-armed Bandit. | Djallel Bouneffouf, Srinivasan Parthasarathy, Horst Samulowitz, Martin Wistuba |
| 2019 | ICS | 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, Srinivasan Parthasarathy |
| 2019 | KDD | Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data. | Sobhan Moosavi, Mohammad Hossein Samavatian, Arnab Nandi, Srinivasan Parthasarathy, Rajiv Ramnath |
| 2019 | MOBICOM | Fast and Efficient Cross Band Channel Prediction Using Machine Learning. | Arjun Bakshi, Yifan Mao, Kannan Srinivasan, Srinivasan Parthasarathy |
| 2019 | WWW | BOLT-K: Bootstrapping Ontology Learning via Transfer of Knowledge. | Nikhita Vedula, Pranav Maneriker, Srinivasan Parthasarathy |
| 2019 | SIGIR | 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 |
| 2019 | SIGMOD | Fractal: A General-Purpose Graph Pattern Mining System. | Vincius Vitor dos Santos Dias, Carlos H. C. Teixeira, Dorgival O. Guedes, Wagner Meira Jr., Srinivasan Parthasarathy |
| 2018 | HPDC | Efficient sparse-matrix multi-vector product on GPUs. | Changwan Hong, Aravind Sukumaran-Rajam, Bortik Bandyopadhyay, Jinsung Kim, Sreyya Emre Kurt, Israt Nisa, Shivani Sabhlok, mit V. atalyrek, Srinivasan Parthasarathy, P. Sadayappan |
| 2018 | ICCS | Parallel Latent Dirichlet Allocation on GPUs. | Gordon Euhyun Moon, Israt Nisa, Aravind Sukumaran-Rajam, Bortik Bandyopadhyay, Srinivasan Parthasarathy, P. Sadayappan |
| 2018 | ICDM | Semi-Supervised Community Detection Using Structure and Size. | Arjun Bakshi, Srinivasan Parthasarathy, Kannan Srinivasan |
| 2018 | ICWSM | QDEE: Question Difficulty and Expertise Estimation in Community Question Answering Sites. | Jiankai Sun, Sobhan Moosavi, Rajiv Ramnath, Srinivasan Parthasarathy |
| 2018 | WWW | Human-Guided Flood Mapping: From Experts to the Crowd. | Jiongqian Liang, Peter Jacobs, Srinivasan Parthasarathy |
| 2018 | SIGIR | Enriching Taxonomies With Functional Domain Knowledge. | Nikhita Vedula, Patrick K. Nicholson, Deepak Ajwani, Sourav Dutta, Alessandra Sala, Srinivasan Parthasarathy |
| 2018 | SDM | Semi-supervised Embedding in Attributed Networks with Outliers. | Jiongqian Liang, Peter Jacobs, Jiankai Sun, Srinivasan Parthasarathy |
| 2017 | ICDE | Role Discovery in Graphs Using Global Features: Algorithms, Applications and a Novel Evaluation Strategy. | Pratik Vinay Gupte, Balaraman Ravindran, Srinivasan Parthasarathy |
| 2017 | ICDE | Analyzing and Visualizing Scalar Fields on Graphs. | Yang Zhang, Yusu Wang, Srinivasan Parthasarathy |
| 2017 | ICDM | Multimodal Content Analysis for Effective Advertisements on YouTube. | Nikhita Vedula, Wei Sun, Hyunhwan Lee, Harsh Gupta, Mitsunori Ogihara, Joseph Johnson, Gang Ren, Srinivasan Parthasarathy |
| 2017 | ICPP | A Pareto Framework for Data Analytics on Heterogeneous Systems: Implications for Green Energy Usage and Performance. | Aniket Chakrabarti, Srinivasan Parthasarathy, Christopher Stewart |
| 2017 | IJCAI | Fast Change Point Detection on Dynamic Social Networks. | Yu Wang, Aniket Chakrabarti, David Sivakoff, Srinivasan Parthasarathy |
| 2017 | KDD | REMIX: Automated Exploration for Interactive Outlier Detection. | Yanjie Fu, Charu C. Aggarwal, Srinivasan Parthasarathy, Deepak S. Turaga, Hui Xiong |
| 2017 | KDD | Visualizing Attributed Graphs via Terrain Metaphor. | Yang Zhang, Yusu Wang, Srinivasan Parthasarathy |
| 2016 | CIKM | Topological Graph Sketching for Incremental and Scalable Analytics. | Bortik Bandyopadhyay, David Fuhry, Aniket Chakrabarti, Srinivasan Parthasarathy |
| 2016 | CIKM | Robust Contextual Outlier Detection: Where Context Meets Sparsity. | Jiongqian Liang, Srinivasan Parthasarathy |
| 2016 | DATE | Lazy Pipelines: Enhancing quality in approximate computing. | Georgios Tziantzioulis, Ali Murat Gok, S. M. Faisal, Nikolaos Hardavellas, Seda Ogrenci Memik, Srinivasan Parthasarathy |
| 2016 | DSAA | Connecting Opinions to Opinion-Leaders: A Case Study on Brazilian Political Protests. | Leonardo Rocha, Fernando Mouro, Ramon Vieira, Alan Neves, Drlinton B. F. Carvalho, Bortik Bandyopadhyay, Srinivasan Parthasarathy, Renato Ferreira |
| 2016 | ICCS | Hierarchical Density-Based Clustering based on GPU Accelerated Data Indexing Strategy. | Danilo Melo, Svyo Toledo, Fernando Mouro, Rafael Sachetto Oliveira, Guilherme Andrade, Renato Ferreira, Srinivasan Parthasarathy, Leonardo Rocha |
| 2016 | ICCS | D-STHARk: Evaluating Dynamic Scheduling of Tasks in Hybrid Simulated Architectures. | Leonardo Rocha, Fernando Mouro, Guilherme Andrade, Renato Ferreira, Srinivasan Parthasarathy, Danilo Melo, Svyo Toledo, Aniket Chakrabarti |
| 2016 | ICML | Robust Monte Carlo Sampling using Riemannian Nos-Poincar Hamiltonian Dynamics. | Anirban Roychowdhury, Brian Kulis, Srinivasan Parthasarathy |
| 2016 | INFOCOM | Green- and heterogeneity-aware partitioning for data analytics. | Aniket Chakrabarti, Srinivasan Parthasarathy, Christopher Stewart |
| 2016 | WWW | What Links Alice and Bob?: Matching and Ranking Semantic Patterns in Heterogeneous Networks. | Jiongqian Liang, Deepak Ajwani, Patrick K. Nicholson, Alessandra Sala, Srinivasan Parthasarathy |
| 2016 | SDM | Multi-Domain Manifold Learning for Drug-Target Interaction Prediction. | Ruichu Cai, Zhenjie Zhang, Srinivasan Parthasarathy, Anthony K. H. Tung, Zhifeng Hao, Wen Zhang |
| 2015 | DAC | 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 |
| 2015 | ICDE | Towards a parameter-free and parallel itemset mining algorithm in linearithmic time. | Gregory Buehrer, Roberto L. de Oliveira Jr., David Fuhry, Srinivasan Parthasarathy |
| 2015 | ICS | Automatic Selection of Sparse Matrix Representation on GPUs. | Naser Sedaghati, Te Mu, Louis-Nol Pouchet, Srinivasan Parthasarathy, P. Sadayappan |
| 2015 | WWW | Sequential Hypothesis Tests for Adaptive Locality Sensitive Hashing. | Aniket Chakrabarti, Srinivasan Parthasarathy |
| 2015 | WWW | GalaxyExplorer: Influence-Driven Visual Exploration of Context-Specific Social Media Interactions. | Xiaotong Liu, Srinivasan Parthasarathy, Han-Wei Shen, Yifan Hu |
| 2014 | CIKM | Component Detection in Directed Networks. | Yu-Keng Shih, Sungmin Kim, Yiye Ruan, Jinxing Cheng, Rohit Kumar, Tao Shi, Srinivasan Parthasarathy |
| 2014 | EDBT | READ: Rapid data Exploration, Analysis and Discovery. | Udayan Khurana, Srinivasan Parthasarathy, Deepak S. Turaga |
| 2014 | HiPC | A fast implementation of MLR-MCL algorithm on multi-core processors. | Qingpeng Niu, Pai-Wei Lai, S. M. Faisal, Srinivasan Parthasarathy, P. Sadayappan |
| 2014 | ICWSM | On Understanding the Divergence of Online Social Group Discussion. | Hemant Purohit, Yiye Ruan, David Fuhry, Srinivasan Parthasarathy, Amit P. Sheth |
| 2014 | KDD | FAQ: A Framework for Fast Approximate Query Processing on Temporal Data. | Udayan Khurana, Srinivasan Parthasarathy, Deepak S. Turaga |
| 2014 | SIGIR | Economically-efficient sentiment stream analysis. | Roberto Loureno de Oliveira Jr., Adriano Veloso, Adriano C. M. Pereira, Wagner Meira Jr., Renato Ferreira, Srinivasan Parthasarathy |
| 2014 | SC | Fast Sparse Matrix-Vector Multiplication on GPUs for Graph Applications. | Arash Ashari, Naser Sedaghati, John Eisenlohr, Srinivasan Parthasarathy, P. Sadayappan |
| 2014 | SIGMETRICS | Impact of DHCP churn on network characterization. | Long H. Vu, Deepak S. Turaga, Srinivasan Parthasarathy |
| 2013 | ICDE | Stratification driven placement of complex data: A framework for distributed data analytics. | Ye Wang, Srinivasan Parthasarathy, P. Sadayappan |
| 2013 | KDD | Scalable all-pairs similarity search in metric spaces. | Ye Wang, Ahmed Metwally, Srinivasan Parthasarathy |
| 2013 | WWW | Efficient community detection in large networks using content and links. | Yiye Ruan, David Fuhry, Srinivasan Parthasarathy |
| 2012 | ICDE | Extracting Analyzing and Visualizing Triangle K-Core Motifs within Networks. | Yang Zhang, Srinivasan Parthasarathy |
| 2012 | KDD | A framework for summarizing and analyzing twitter feeds. | Xintian Yang, Amol Ghoting, Yiye Ruan, Srinivasan Parthasarathy |
| 2012 | SC | GADBMS: A Framework for Scalable Array Analytics. | Tyler Clemons, Srinivasan Parthasarathy, P. Sadayappan |
| 2011 | EDBT | Symmetrizations for clustering directed graphs. | Venu Satuluri, Srinivasan Parthasarathy |
| 2011 | ICDE | Locality Sensitive Outlier Detection: A ranking driven approach. | Ye Wang, Srinivasan Parthasarathy, Shirish Tatikonda |
| 2011 | ICDM | A Spectral Framework for Detecting Inconsistency across Multi-source Object Relationships. | Jing Gao, Wei Fan, Deepak S. Turaga, Srinivasan Parthasarathy, Jiawei Han |
| 2011 | INFOCOM | Approximation algorithms for throughput maximization in wireless networks with delay constraints. | Guanhong Pei, V. S. Anil Kumar, Srinivasan Parthasarathy, Aravind Srinivasan |
| 2011 | SIGMOD | Local graph sparsification for scalable clustering. | Venu Satuluri, Srinivasan Parthasarathy, Yiye Ruan |
| 2010 | DEXA | Lag Patterns in Time Series Databases. | Dhaval Patel, Wynne Hsu, Mong-Li Lee, Srinivasan Parthasarathy |
| 2010 | EuroPar | Parallel and Distributed Data Management. | Rizos Sakellariou, Salvatore Orlando, Josep Llus Larriba-Pey, Srinivasan Parthasarathy, Demetrios Zeinalipour-Yazti |
| 2010 | ICDE | Hashing tree-structured data: Methods and applications. | Shirish Tatikonda, Srinivasan Parthasarathy |
| 2010 | PAKDD | A Framework for SQL-Based Mining of Large Graphs on Relational Databases. | Sriganesh Srihari, Shruti Chandrashekar, Srinivasan Parthasarathy |
| 2010 | PPoPP | A distributed placement service for graph-structured and tree-structured data. | Gregory Buehrer, Srinivasan Parthasarathy, Shirish Tatikonda |
| 2009 | INFOCOM | Distributed Strategies for Channel Allocation and Scheduling in Software-Defined Radio Networks. | Bo Han, V. S. Anil Kumar, Madhav V. Marathe, Srinivasan Parthasarathy, Aravind Srinivasan |
| 2009 | KDD | A viewpoint-based approach for interaction graph analysis. | Sitaram Asur, Srinivasan Parthasarathy |
| 2009 | KDD | Anomaly detection and spatio-temporal analysis of global climate system. | Mahashweta Das, Srinivasan Parthasarathy |
| 2009 | KDD | Scalable graph clustering using stochastic flows: applications to community discovery. | Venu Satuluri, Srinivasan Parthasarathy |
| 2009 | SIGMOD | Query by output. | Quoc Trung Tran, Chee-Yong Chan, Srinivasan Parthasarathy |
| 2008 | GLOBECOM | Power Efficient Throughput Maximization in Multi-Hop Wireless Networks. | Deepti Chafekar, V. S. Anil Kumar, Madhav V. Marathe, Srinivasan Parthasarathy |
| 2008 | INFOCOM | Approximation Algorithms for Computing Capacity of Wireless Networks with SINR Constraints. | Deepti Chafekar, V. S. Anil Kumar, Madhav V. Marathe, Srinivasan Parthasarathy, Aravind Srinivasan |
| 2008 | INFOCOM | Capacity of Asynchronous Random-Access Scheduling in Wireless Networks. | Deepti Chafekar, Dave Levin, V. S. Anil Kumar, Madhav V. Marathe, Srinivasan Parthasarathy, Aravind Srinivasan |
| 2008 | INFOCOM | Association Control in Mobile Wireless Networks. | Minkyong Kim, Zhen Liu, Srinivasan Parthasarathy, Dimitrios E. Pendarakis, Hao Yang |
| 2008 | ICS | Data mining on the cell broadband engine. | Gregory Buehrer, Srinivasan Parthasarathy, Matthew Goyder |
| 2008 | KDD | A visual-analytic toolkit for dynamic interaction graphs. | Xintian Yang, Sitaram Asur, Srinivasan Parthasarathy, Sameep Mehta |
| 2008 | PODS | A generic flow algorithm for shared filter ordering problems. | Zhen Liu, Srinivasan Parthasarathy, Anand Ranganathan, Hao Yang |
| 2008 | PPoPP | An adaptive memory conscious approach for mining frequent trees: implications for multi-core architectures. | Shirish Tatikonda, Srinivasan Parthasarathy |
| 2008 | SC | Global trees: a framework for linked data structures on distributed memory parallel systems. | D. Brian Larkins, James Dinan, Sriram Krishnamoorthy, Srinivasan Parthasarathy, Atanas Rountev, P. Sadayappan |
| 2008 | SIGMOD | Near-optimal algorithms for shared filter evaluation in data stream systems. | Zhen Liu, Srinivasan Parthasarathy, Anand Ranganathan, Hao Yang |
| 2008 | SIGMOD | CSV: visualizing and mining cohesive subgraphs. | Nan Wang, Srinivasan Parthasarathy, Kian-Lee Tan, Anthony K. H. Tung |
| 2007 | ICDM | Local Probabilistic Models for Link Prediction. | Chao Wang, Venu Satuluri, Srinivasan Parthasarathy |
| 2007 | ISMB | An ensemble framework for clustering protein-protein interaction networks. | Sitaram Asur, Duygu Ucar, Srinivasan Parthasarathy |
| 2007 | KDD | An event-based framework for characterizing the evolutionary behavior of interaction graphs. | Sitaram Asur, Srinivasan Parthasarathy, Duygu Ucar |
| 2007 | KDD | Data mining at the crossroads: successes, failures and learning from them. | Srinivasan Parthasarathy |
| 2007 | MOBIHOC | Cross-layer latency minimization in wireless networks with SINR constraints. | Deepti Chafekar, V. S. Anil Kumar, Madhav V. Marathe, Srinivasan Parthasarathy, Aravind Srinivasan |
| 2007 | PPoPP | Toward terabyte pattern mining: an architecture-conscious solution. | Gregory Buehrer, Srinivasan Parthasarathy, Shirish Tatikonda, Tahsin M. Kur, Joel H. Saltz |
| 2007 | VLDB | LCS-TRIM: Dynamic Programming Meets XML Indexing and Querying. | Shirish Tatikonda, Srinivasan Parthasarathy, Matthew Goyder |
| 2006 | CIKM | Structure-based querying of proteins using wavelets. | Keith Marsolo, Srinivasan Parthasarathy, Kotagiri Ramamohanarao |
| 2006 | CIKM | Robust periodicity detection algorithms. | Srinivasan Parthasarathy, Sameep Mehta, S. Srinivasan |
| 2006 | CIKM | TRIPS and TIDES: new algorithms for tree mining. | Shirish Tatikonda, Srinivasan Parthasarathy, Tahsin M. Kur |
| 2006 | COMAD | High Performance Data Mining: Consolidation and Renewed Bearing. | Srinivasan Parthasarathy |
| 2006 | EDBT | A Decomposition-Based Probabilistic Framework for Estimating the Selectivity of XML Twig Queries. | Chao Wang, Srinivasan Parthasarathy, Ruoming Jin |
| 2006 | ICDE | Mining Spatial and Spatio-Temporal Patterns in Scientific Data. | Hui Yang, Srinivasan Parthasarathy |
| 2006 | ICDM | Adaptive Parallel Graph Mining for CMP Architectures. | Gregory Buehrer, Srinivasan Parthasarathy, Yen-Kuang Chen |
| 2006 | ICDM | On the Use of Structure and Sequence-Based Features for Protein Classification and Retrieval. | Keith Marsolo, Srinivasan Parthasarathy |
| 2006 | ICDM | On Trajectory Representation for Scientific Features. | Sameep Mehta, Srinivasan Parthasarathy, Raghu Machiraju |
| 2006 | ICML | Learning Approximate MRFs from Large Transactional Data. | Chao Wang, Srinivasan Parthasarathy |
| 2006 | ISMB | A model-based approach for mining membrane protein crystallization trials. | Sitaram Asur, Pichai Raman, Matthew Eric Otey, Srinivasan Parthasarathy |
| 2006 | KDD | Out-of-core frequent pattern mining on a commodity PC. | Gregory Buehrer, Srinivasan Parthasarathy, Amol Ghoting |
| 2006 | KDD | Summarizing itemset patterns using probabilistic models. | Chao Wang, Srinivasan Parthasarathy |
| 2006 | SDM | Fast Mining of Distance-Based Outliers in High Dimensional Datasets. | Amol Ghoting, Srinivasan Parthasarathy, Matthew Eric Otey |
| 2006 | SDM | Dissimilarity Measures for Detecting Hepatotoxicity in Clinical Trial Data. | Matthew Eric Otey, Srinivasan Parthasarathy, Donald C. Trost |
| 2005 | AIME | A Model-Based Approach to Visualizing Classification Decisions for Patient Diagnosis. | Keith Marsolo, Srinivasan Parthasarathy, Michael D. Twa, Mark Bullimore |
| 2005 | BIBE | A Multi-Level Approach to SCOP Fold Recognition. | Keith Marsolo, Srinivasan Parthasarathy, Chris H. Q. Ding |
| 2005 | BIBE | Classification of Biomedical Data through Model-Based Spatial Averaging. | Keith Marsolo, Srinivasan Parthasarathy, Michael D. Twa, Mark Bullimore |
| 2005 | BIBE | Effective Pre-Processing Strategies for Functional Clustering of a Protein-Protein Interactions Network. | Duygu Ucar, Srinivasan Parthasarathy, Sitaram Asur, Chao Wang |
| 2005 | DaMoN | A Characterization of Data Mining Workloads on a Modern Processor. | Amol Ghoting, Gregory Buehrer, Srinivasan Parthasarathy, Daehyun Kim, Anthony D. Nguyen, Yen-Kuang Chen, Pradeep Dubey |
| 2005 | FOCS | Approximation Algorithms for Scheduling on Multiple Machines. | V. S. Anil Kumar, Madhav V. Marathe, Srinivasan Parthasarathy, Aravind Srinivasan |
| 2005 | ICDCS | Similarity Searching in Peer-to-Peer Databases. | Indrajit Bhattacharya, Srinivas R. Kashyap, Srinivasan Parthasarathy |
| 2005 | ICDM | Alternate Representation of Distance Matrices for Characterization of Protein Structure. | Keith Marsolo, Srinivasan Parthasarathy |
| 2005 | IJCAI | Mining Spatial Object Associations for Scientific Data. | Hui Yang, Srinivasan Parthasarathy, Sameep Mehta |
| 2005 | ICS | Design of a next generation sampling service for large scale data analysis applications. | Huai Wang, Srinivasan Parthasarathy, Amol Ghoting, Shirish Tatikonda, Gregory Buehrer, Tahsin M. Kur, Joel H. Saltz |
| 2005 | KDD | Discovering frequent topological structures from graph datasets. | Ruoming Jin, Chao Wang, Dmitrii Polshakov, Srinivasan Parthasarathy, Gagan Agrawal |
| 2005 | KDD | A generalized framework for mining spatio-temporal patterns in scientific data. | Hui Yang, Srinivasan Parthasarathy, Sameep Mehta |
| 2005 | VLDB | Cache-conscious Frequent Pattern Mining on a Modern Processor. | Amol Ghoting, Gregory Buehrer, Srinivasan Parthasarathy, Daehyun Kim, Anthony D. Nguyen, Yen-Kuang Chen, Pradeep Dubey |
| 2005 | SIGMETRICS | Algorithmic aspects of capacity in wireless networks. | V. S. Anil Kumar, Madhav V. Marathe, Srinivasan Parthasarathy, Aravind Srinivasan |
| 2005 | SDM | Dynamic Classification of Defect Structures in Molecular Dynamics Simulation Data. | Sameep Mehta, Steve Barr, Tat-Sang Choy, Hui Yang, Srinivasan Parthasarathy, Raghu Machiraju, John Wilkins |
| 2004 | ICCS | Improvements to Response-Surface Based Vehicle Design Using a Feature-Centric Approach. | David S. Thompson, Srinivasan Parthasarathy, Raghu Machiraju, Scott Lawrence |
| 2004 | ICDM | LOADED: Link-Based Outlier and Anomaly Detection in Evolving Data Sets. | Amol Ghoting, Matthew Eric Otey, Srinivasan Parthasarathy |
| 2004 | ICDM | Correlation Preserving Discretization. | Sameep Mehta, Srinivasan Parthasarathy, Hui Yang |
| 2004 | ICS | Parallel algorithms for mining frequent structural motifs in scientific data. | Chao Wang, Srinivasan Parthasarathy |
| 2004 | KDD | A New Approach to Protein Structure Mining and Alignment. | Hongyuan Li, Keith Marsolo, Srinivasan Parthasarathy, Dmitrii Polshakov |
| 2004 | KDD | Discovering Spatial Relationships Between Approximately Equivalent Patterns in Contact Maps. | Keith Marsolo, Hui Yang, Srinivasan Parthasarathy, Sameep Mehta |
| 2004 | PAKDD | Exploiting Recurring Usage Patterns to Enhance Filesystem and Memory Subsystem Performance. | Benjamin Rutt, Srinivasan Parthasarathy |
| 2004 | SODA | End-to-end packet-scheduling in wireless ad-hoc networks. | V. S. Anil Kumar, Madhav V. Marathe, Srinivasan Parthasarathy, Aravind Srinivasan |
| 2003 | BIBE | MotifMiner: A General Toolkit for Efficiently Identifying Common Substructures in Molecules. | Matt Coatney, Srinivasan Parthasarathy |
| 2003 | CCGRID | A Slacker Coherence rotocol for Pull-based Monitoring of On-line Data Source. | Radhakrishnan Sundaresan, Tahsin M. Kur, Mario Lauria, Srinivasan Parthasarathy, Joel H. Saltz |
| 2003 | HiPC | Parallel and Distributed Frequent Itemset Mining on Dynamic Datasets. | Adriano Veloso, Matthew Eric Otey, Srinivasan Parthasarathy, Wagner Meira Jr. |
| 2003 | HPDC | Adaptive Polling of Grid Resource Monitors Using a Slacker Coherence Model. | Radhakrishnan Sundaresan, Mario Lauria, Tahsin M. Kur, Srinivasan Parthasarathy, Joel H. Saltz |
| 2003 | ICDM | Mining Frequent Itemsets in Distributed and Dynamic Databases. | Matthew Eric Otey, Chao Wang, Srinivasan Parthasarathy, Adriano Veloso, Wagner Meira Jr. |
| 2003 | KDD | Towards NIC-based intrusion detection. | Matthew Eric Otey, Srinivasan Parthasarathy, Amol Ghoting, G. Li, Sundeep Narravula, Dhabaleswar K. Panda |
| 2003 | MOBIHOC | Minimizing broadcast latency and redundancy in ad hoc networks. | Rajiv Gandhi, Srinivasan Parthasarathy, Arunesh Mishra |
| 2003 | SDM | Feature Mining Paradigms for Scientific Data. | Ming Jiang, Tat-Sang Choy, Sameep Mehta, Matt Coatney, Steve Barr, Kaden Hazzard, David Richie, Srinivasan Parthasarathy, Raghu Machiraju, David S. Thompson, John Wilkins, Boyd Gatlin |
| 2003 | SDM | Decision Tree Classification of Spatial Data Patterns from Videokeratography using Zernicke Polynomials. | Michael D. Twa, Srinivasan Parthasarathy, Thomas W. Raasch, Mark Bullimore |
| 2003 | SBAC-PAD | New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases. | Adriano Veloso, Wagner Meira Jr., Srinivasan Parthasarathy |
| 2002 | FOCS | Dependent Rounding in Bipartite Graphs. | Rajiv Gandhi, Samir Khuller, Srinivasan Parthasarathy, Aravind Srinivasan |
| 2002 | ICDM | Efficient Progressive Sampling for Association Rules. | Srinivasan Parthasarathy |
| 2002 | ICDM | Efficient Discovery of Common Substructures in Macromolecules. | Srinivasan Parthasarathy, Matt Coatney |
| 2002 | KDD | On the Use of Constrained Associations for Web Log Mining. | Hui Yang, Srinivasan Parthasarathy |
| 2002 | SDM | Mining Frequent Itemsets in Evolving Databases. | Adriano Veloso, Wagner Meira Jr., Mrcio de Carvalho, Bruno Pssas, Srinivasan Parthasarathy, Mohammed Javeed Zaki |
| 2001 | KDD | Mining massively incomplete data sets by conceptual reconstruction. | Charu C. Aggarwal, Srinivasan Parthasarathy |
| 2001 | SDM | Shared State for Client-Server Mining. | Srinivasan Parthasarathy, Sandhya Dwarkadas |
| 1999 | CIKM | Incremental and Interactive Sequence Mining. | Srinivasan Parthasarathy, Mohammed Javeed Zaki, Mitsunori Ogihara, Sandhya Dwarkadas |
| 1999 | KDD | Active Mining in a Distributed Setting. | Srinivasan Parthasarathy, Sandhya Dwarkadas, Mitsunori Ogihara |
| 1998 | KDD | Memory Placement Techniques for Parallel Association Mining. | Srinivasan Parthasarathy, Mohammed Javeed Zaki, Wei Li |
| 1997 | ISCA | 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, Wagner Meira Jr., Sandhya Dwarkadas, Michael L. Scott |
| 1997 | KDD | New Algorithms for Fast Discovery of Association Rules. | Mohammed Javeed Zaki, Srinivasan Parthasarathy, Mitsunori Ogihara, Wei Li |
| 1997 | SPAA | A Localized Algorithm for Parallel Association Mining. | Mohammed Javeed Zaki, Srinivasan Parthasarathy, Wei Li |
| 1997 | SOSP | 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, Michael L. Scott |
| 1996 | HPDC | Customized Dynamic Load Balancing for a Network of Workstations. | Mohammed Javeed Zaki, Wei Li, Srinivasan Parthasarathy |
| 1996 | SC | Parallel Data Mining for Association Rules on Shared-Memory Multi-Processors. | Mohammed Javeed Zaki, Mitsunori Ogihara, Srinivasan Parthasarathy, Wei Li |
| 1987 | ICRA | A color vision system for film thickness determination. | Srinivasan Parthasarathy, Denise Wolf, Evelyn Hu, Susan Hackwood, Gerardo Beni |
| 1986 | ICRA | A color vision system for microelectronics: Application to oxide thickness measurements. | Matt Barth, Srinivasan Parthasarathy, Jing Wang, Evelyn Hu, Susan Hackwood, Gerardo Beni |