Wenqi Cui
Assistant Professor
Combines control, optimization and reinforcement learning for power and energy systems.
Wenqi Cui's lab at NYU works on reinforcement learning and learning theory & optimization. 3 papers since 2023, 1 at top venues, mostly NeurIPS. Applications close .
At a glance
- papers, 2023–2026
- 1/ year
- at T1 venues
- 33%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 0 papers2024 · T1 0
- 3 papers2023 · T1 1
T1 venuesOtherVenues: NeurIPS
Research focuspaper titles that use each topic's words
- Reinforcement learning2 papers
- Learning theory & optimization2 papers
- energy systems0 papers
- combines control0 papers
- energy0 papers
Paper list
From the lab homepage.
20233 papers
- Learning for Dynamics and Control Conference PDF Code ProjectEfficient Reinforcement Learning Through Trajectory Generation (opens in a new tab)
- IEEE Transactions on Power Systems PDF Cite Code ProjectReinforcement Learning for Optimal Frequency Control: A Lyapunov Approach (opens in a new tab)
- NeurIPS (T1)Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees (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
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- English
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- Fee
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Not yet confirmed for this intake.
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Your notes
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Data
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- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
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- The lab homepage
- Members
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- Alumni
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