Faculty

Institution

Unit

Venue

Torsten Suel

Professor & Director of the CSE PhD Program Professor

New York University

Affiliations

Arts & Science

Computer Science

Courant Institute of Mathematical Sciences

Computer Science

Tandon School of Engineering

Computer Science and Engineering

NYU Abu Dhabi

Division of Science

Torsten Suel is currently serving as an Arts & Science Professor & Director of the CSE PhD Program Professor at New York University.

Honors

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Experiences

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Education

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Torsten Suel

New York University

Professor & Director of the CSE PhD Program Professor

You can click a keyword to filter the displayed items

computer science information retrieval data science machine learning data management web search data mining applied mathematics systems engineering databases indexing technique data compression search engine design natural language processing scalability search engine indexing theoretical computer science sorting algorithms data indexing world wide web combinatorial optimization distributed systems query optimization search technology graph theory search engine optimization image compression network routing ranking algorithms wireless communications discrete algorithms model compression query analysis efficient query processing mathematical optimization network routing algorithm versioned document collections information technology knowledge discovery numerical algorithms caching lossless compression index system routing protocols lower bounds distributed query processing block-max indexes large textual collections machine learning research programming languages distributed computing scalable routing lossy compression performance portability three-level caching web search engines inverted indexes delta compression sparse retrieval shuffle permutation delta compression techniques composition studies data security logic in computer science geometry compression streaming algorithms trusted p2p quality-of-service streaming data data portability performance scalability optimal histograms quality guarantees perron-frobenius theorem bsp programming library query processing parallel computing cluster computing parallel processing computer engineering data-intensive computing parallel programming data engineering

Notable Scholarly Works

Notable Federal Grants

Collaborators

Fast and Effective Early Termination for Simple Ranking Functions. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2025)

mathematical optimizationcomputational complexityranking algorithmseffective early terminationcomputer sciencelearning to rank

Beyond Quantile Methods: Improved Top-K Threshold Estimation for Traditional and Learned Sparse Indexes. 2021 IEEE International Conference on Big Data (Big Data) (2024)

sparse representationsstatistical learning theorydata miningstatistical methodologycomputational statisticsmachine learningcompressive sensingdata sciencebeyond quantile methodsstatistical inferencelearned sparse indexestop-k threshold estimationhigh-dimensional methodhigh-dimensional statisticsknowledge discoverystatistics

DEEPERIMPACT: Optimizing Sparse Learned Index Structures. arXiv (Cornell University) (2024)

Basnet, SoyujGou, JerryMallia, AntonioSuel, Torsten

sparse representationsmathematical optimizationindex structurescomputer sciencecomputational optimizationmachine learningoptimizing sparseoptimization-based data miningdeep learning

Faster Learned Sparse Retrieval With Block-Max Pruning. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024)

Antonio MalliaTorsten SuelNicola Tonellotto

block-max pruningcomputer sciencemachine learningsparse retrievalinformation retrieval

Faster Learned Sparse Retrieval With Guided Traversal. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2022)

Antonio MalliaJoel MackenzieTorsten SuelNicola Tonellotto

data retrievalcomputer sciencemachine learningguided traversalsparse retrievalinformation retrieval

Using Conjunctions for Faster Disjunctive Top-K Queries. Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (2022)

Michał SiedlaczekAntonio MalliaTorsten Suel

data miningnatural language processingcomputer sciencemachine learningweb searchinformation retrievalquery optimization

Acm Sigir 2021 Chairs' Welcome. International ACM SIGIR Conference on Research and Development in Information Retrieval (2021)

Fernando DiazChirag ShahTorsten SuelPablo CastellsRosie JonesTetsuya Sakai

information retrievalcommunication

Fast Disjunctive Candidate Generation Using Live Block Filtering. (2021)

Antonio MalliaMichał SiedlaczekTorsten Suel

natural language processingdisjunctive candidate generationmachine learningdata sciencelive block filtering

Learning Passage Impacts for Inverted Indexes. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2021)

Antonio MalliaOmar KhattabTorsten SuelNicola Tonellotto

indexing techniquelinguisticsindex systemmachine learningdata indexinginformation retrievalinverted indexes

Optimizing Iterative Algorithms for Social Network Sharding. 2021 IEEE International Conference on Big Data (Big Data) (2021)

Zishi DengTorsten Suel

computer sciencemachine learningdata scienceiterative algorithmsbig data

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Torsten Suel

Professor & Director of the CSE PhD Program Professor

New York University

Affiliations

Arts & Science

Computer Science

Courant Institute of Mathematical Sciences

Computer Science

Tandon School of Engineering

Computer Science and Engineering

NYU Abu Dhabi

Division of Science

Torsten Suel is currently serving as an Arts & Science Professor & Director of the CSE PhD Program Professor at New York University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Torsten Suel

New York University

Professor & Director of the CSE PhD Program Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Fast and Effective Early Termination for Simple Ranking Functions. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2025)

mathematical optimizationcomputational complexityranking algorithmseffective early terminationcomputer sciencelearning to rank

Beyond Quantile Methods: Improved Top-K Threshold Estimation for Traditional and Learned Sparse Indexes. 2021 IEEE International Conference on Big Data (Big Data) (2024)

DEEPERIMPACT: Optimizing Sparse Learned Index Structures. arXiv (Cornell University) (2024)

Basnet, SoyujGou, JerryMallia, AntonioSuel, Torsten

sparse representationsmathematical optimizationindex structurescomputer sciencecomputational optimizationmachine learningoptimizing sparseoptimization-based data miningdeep learning

Faster Learned Sparse Retrieval With Block-Max Pruning. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024)

Antonio MalliaTorsten SuelNicola Tonellotto

block-max pruningcomputer sciencemachine learningsparse retrievalinformation retrieval

Faster Learned Sparse Retrieval With Guided Traversal. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2022)

Antonio MalliaJoel MackenzieTorsten SuelNicola Tonellotto

data retrievalcomputer sciencemachine learningguided traversalsparse retrievalinformation retrieval

Using Conjunctions for Faster Disjunctive Top-K Queries. Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (2022)

Michał SiedlaczekAntonio MalliaTorsten Suel

data miningnatural language processingcomputer sciencemachine learningweb searchinformation retrievalquery optimization

Acm Sigir 2021 Chairs' Welcome. International ACM SIGIR Conference on Research and Development in Information Retrieval (2021)

Fernando DiazChirag ShahTorsten SuelPablo CastellsRosie JonesTetsuya Sakai

information retrievalcommunication

Fast Disjunctive Candidate Generation Using Live Block Filtering. (2021)

Antonio MalliaMichał SiedlaczekTorsten Suel

natural language processingdisjunctive candidate generationmachine learningdata sciencelive block filtering

Learning Passage Impacts for Inverted Indexes. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2021)

Antonio MalliaOmar KhattabTorsten SuelNicola Tonellotto

indexing techniquelinguisticsindex systemmachine learningdata indexinginformation retrievalinverted indexes

Optimizing Iterative Algorithms for Social Network Sharding. 2021 IEEE International Conference on Big Data (Big Data) (2021)

Zishi DengTorsten Suel

computer sciencemachine learningdata scienceiterative algorithmsbig data

1
2
3
4
5
18
10 / page

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health technology

scalable information

Weili Wu

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pattern mining

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mathematical optimization

Kevin Chenchuan Chang

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