Shengjie Wang
Assistant Professor
Studies machine learning, including deep learning, submodular optimization for data selection and AI for science.
Shengjie Wang's lab at NYU works on learning theory & optimization. 8 papers since 2023, 6 at top venues, mostly ICML and CIKM. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 75%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 2 papers2025 · T1 2
- 2 papers2024 · T1 0
- 4 papers2023 · T1 4
T1 venuesOtherVenues: ICML, CIKM, Findings of NAACL, KDD, RecSys
Research focuspaper titles that use each topic's words
- Learning theory & optimization4 papers
- data selection0 papers
- shanghai0 papers
- nyu shanghai0 papers
- nyu0 papers
Paper list
From DBLP.
20252 papers
20242 papers
20234 papers
- WSDM (T1)DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation (opens in a new tab)
- RecSys (T1)Full Index Deep Retrieval: End-to-End User and Item Structures for Cold-start and Long-tail Item Recommendation (opens in a new tab)
- ICML (T1)Machine Learning Force Fields with Data Cost Aware Training (opens in a new tab)
- CIKM (T1)PSLF: Defending Against Label Leakage in Split Learning (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NYUFall 2027
Computer Science PhD (Courant / Tandon)
- Round
- Single round (December)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Your notes
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- DBLP
- Members
- Not collected
- Alumni
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Tiers are venue classifications, not lab rankings.
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