Yadong Wu
Tenured Track Associate Professor
Works on quantum information, including machine learning applied to quantum systems.
Yadong Wu's lab at SJTU works in AI for Science. 5 papers since 2023, 1 at top venues, mostly Nature Communications and NPJ quantum information. 3 PhD students and 1 master's student. Applications close .
At a glance
- papers, 2023–2026
- 1/ year
- at T1 venues
- 20%
- PhD students
- 3
- MS students
- 1
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 2 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 2 papers2024 · T1 1
- 1 papers2023 · T1 0
T1 venuesOtherVenues: Nature Communications, NPJ quantum information
Research focuspaper titles that use each topic's words
- quantum5 papers
- systems1 paper
- applied0 papers
- information0 papers
- school0 papers
Paper list
From the lab homepage.
20262 papers
- Nature Reviews PhysicsArtificial intelligence for representing and characterizing quantum systems
- NPJ quantum informationExperimental Secure Multiparty Computation from Quantum Oblivious Transfer with Bit Commitment
20242 papers
- Physical Review ResearchEfficient learning of continuous-variable quantum states
- Nature Communications (T1)Learning quantum properties from short-range correlations using multi-task networks
20231 paper
- Physical Review LettersQuantum Similarity Testing with Convolutional Neural Networks
Where alumni went
Alumni are not listed on the lab homepage.
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- 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 alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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