Torsten Suel
Professor & Director of the CSE Ph.D. Program
Works on web search engines and scalable information retrieval, including index compression, query processing and learned sparse retrieval.
Torsten Suel's lab at NYU works on knowledge, QA & retrieval, recommendation, search & web and efficient training & inference. 6 papers since 2023, 4 at top venues, mostly NeurIPS and SIGIR. 1 PhD student. 19 alumni, most often to IBM and Microsoft. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 67%
- PhD students
- 1
- MS students
- 0
- alumni listed
- 19
Papers by yearfrom the lab homepage and DBLP, 2023–2026
- 1 papers2026 · T1 1 · collecting
- 2 papers2025 · T1 2
- 3 papers2024 · T1 1
- 0 papers2023 · T1 0
T1 venuesOtherVenues: NeurIPS, SIGIR, SODA
Research focuspaper titles that use each topic's words
- Recommendation, search & web2 papers
- Knowledge, QA & retrieval1 paper
- retrieval1 paper
- Efficient training & inference0 papers
- search engines0 papers
Paper list
From the lab homepage and DBLP.
20261 paper
20252 papers
20243 papers
- IEEE Big DataBeyond Quantile Methods: Improved Top-K Threshold Estimation for Traditional and Learned Sparse Indexes (opens in a new tab)
- JulyFaster Learned Sparse Retrieval with Block-Max Pruning
- NeurIPS (T1)Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits (opens in a new tab)
Where alumni went19 listed, 100% to industry
Industry 8Academia 0
Most often to
- IBM
- Microsoft
- Amazon
Apply to NYUFall 2027
Computer Science PhD (Courant / Tandon)
- Round
- Single round (December)
- Opens
- —
- GRE
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- English
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Not yet confirmed for this intake.
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Data
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- Papers
- The lab homepage and DBLP
- Members
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- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
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