Saravanan Thirumuruganathan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
32
Venues
12
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
32 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EDBT | Pythia: A Neural Model for Data Prefetching. | Akshay A. Bapat, Saravanan Thirumuruganathan, Nick Koudas |
| 2024 | EDBT | Relational Data Imputation with Graph Neural Networks. | Riccardo Cappuzzo, Saravanan Thirumuruganathan, Paolo Papotti |
| 2023 | ICDE | The Art of Losing to Win: Using Lossy Image Compression to Improve Data Loading in Deep Learning Pipelines. | Lennart Behme, Saravanan Thirumuruganathan, Alireza Rezaei Mahdiraji, Jorge-Arnulfo Quian-Ruiz, Volker Markl |
| 2022 | ICDE | Accelerating Entity Lookups in Knowledge Graphs Through Embeddings. | Ghadeer Abuoda, Saravanan Thirumuruganathan, Ashraf Aboulnaga |
| 2022 | ICDE | Prediction Intervals for Learned Cardinality Estimation: An Experimental Evaluation. | Saravanan Thirumuruganathan, Suraj Shetiya, Nick Koudas, Gautam Das |
| 2022 | SP | SIRAJ: A Unified Framework for Aggregation of Malicious Entity Detectors. | Saravanan Thirumuruganathan, Mohamed Nabeel, Euijin Choo, Issa Khalil, Ting Yu |
| 2021 | SIGMOD | Shahin: Faster Algorithms for Generating Explanations for Multiple Predictions. | Sona Hasani, Saravanan Thirumuruganathan, Nick Koudas, Gautam Das |
| 2021 | SIGMOD | To Intervene or Not To Intervene: Cost based Intervention for Combating Fake News. | Saravanan Thirumuruganathan, Michael Simpson, Laks V. S. Lakshmanan |
| 2021 | SOSP | Random Walks on Huge Graphs at Cache Efficiency. | Ke Yang, Xiaosong Ma, Saravanan Thirumuruganathan, Kang Chen, Yongwei Wu |
| 2020 | EDBT | Data Curation with Deep Learning. | Saravanan Thirumuruganathan, Nan Tang, Mourad Ouzzani, AnHai Doan |
| 2020 | ICDE | Approximate Query Processing for Data Exploration using Deep Generative Models. | Saravanan Thirumuruganathan, Shohedul Hasan, Nick Koudas, Gautam Das |
| 2020 | SIGMOD | Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks. | Riccardo Cappuzzo, Paolo Papotti, Saravanan Thirumuruganathan |
| 2020 | SIGMOD | Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries. | Shohedul Hasan, Saravanan Thirumuruganathan, Jees Augustine, Nick Koudas, Gautam Das |
| 2020 | SIGMOD | ZeroER: Entity Resolution using Zero Labeled Examples. | Renzhi Wu, Sanya Chaba, Saurabh Sawlani, Xu Chu, Saravanan Thirumuruganathan |
| 2019 | CLOUD | TagSniff: Simplified Big Data Debugging for Dataflow Jobs. | Bertty Contreras-Rojas, Jorge-Arnulfo Quian-Ruiz, Zoi Kaoudi, Saravanan Thirumuruganathan |
| 2019 | ICDE | EXPLAINER: Entity Resolution Explanations. | Amr Ebaid, Saravanan Thirumuruganathan, Walid G. Aref, Ahmed K. Elmagarmid, Mourad Ouzzani |
| 2019 | WWW | A Human-in-the-loop Attribute Design Framework for Classification. | Md. Abdus Salam, Mary E. Koone, Saravanan Thirumuruganathan, Gautam Das, Senjuti Basu Roy |
| 2019 | SIGMOD | Explaining Entity Resolution Predictions: Where are we and What needs to be done? | Saravanan Thirumuruganathan, Mourad Ouzzani, Nan Tang |
| 2018 | SDM | Robust Road Map Inference through Network Alignment of Trajectories. | Rade Stanojevic, Sofiane Abbar, Saravanan Thirumuruganathan, Sanjay Chawla, Fethi Filali, Ahid Aleimat |
| 2017 | ICDE | Density Based Clustering over Location Based Services. | Md Farhadur Rahman, Weimo Liu, Saad Bin Suhaim, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das |
| 2017 | SIGMOD | A Cost-based Optimizer for Gradient Descent Optimization. | Zoi Kaoudi, Jorge-Arnulfo Quian-Ruiz, Saravanan Thirumuruganathan, Sanjay Chawla, Divy Agrawal |
| 2017 | SIGMOD | UGuide: User-Guided Discovery of FD-Detectable Errors. | Saravanan Thirumuruganathan, Laure Berti-quille, Mourad Ouzzani, Jorge-Arnulfo Quian-Ruiz, Nan Tang |
| 2016 | ICDE | ANALOC: Efficient analytics over Location Based Services. | Md Farhadur Rahman, Saad Bin Suhaim, Weimo Liu, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das |
| 2015 | ICDM | Task Assignment Optimization in Collaborative Crowdsourcing. | Habibur Rahman, Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das |
| 2015 | ICWSM | Answering Complex Queries in an Online Community Network. | Azade Nazi, Saravanan Thirumuruganathan, Vagelis Hristidis, Nan Zhang, Gautam Das |
| 2015 | MASS | Querying Hidden Attributes in an Online Community Network. | Azade Nazi, Saravanan Thirumuruganathan, Vagelis Hristidis, Nan Zhang, Gautam Das |
| 2014 | ICDE | Ranking item features by mining online user-item interactions. | Sofiane Abbar, Habibur Rahman, Saravanan Thirumuruganathan, Carlos Castillo, Gautam Das |
| 2014 | ICDE | Exploiting group recommendation functions for flexible preferences. | Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das, Cong Yu |
| 2014 | ICDM | Query Hidden Attributes in Social Networks. | Azade Nazi, Saravanan Thirumuruganathan, Vagelis Hristidis, Nan Zhang, Khaled B. Shaban, Gautam Das |
| 2014 | SIGMOD | Aggregate estimation over a microblog platform. | Saravanan Thirumuruganathan, Nan Zhang, Vagelis Hristidis, Gautam Das |
| 2013 | ICDE | Breaking the top-k barrier of hidden web databases? | Saravanan Thirumuruganathan, Nan Zhang, Gautam Das |
| 2011 | SMC | Building Bayesian Network based expert systems from rules. | Saravanan Thirumuruganathan, Manfred Huber |