Hai Dang Dau
Nanyang Assistant Professor
Develops Monte Carlo methods such as sequential Monte Carlo and MCMC, and studies diffusion-based generative modelling for Bayesian computation.
Hai Dang Dau's lab at NTU works on probabilistic & causal inference, generative & foundation models and image & video generation. 3 papers since 2023, 2 at top venues, mostly ICLR and ICML.
At a glance
- papers, 2023–2026
- 1/ year
- at T1 venues
- 67%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage and DBLP, 2023–2026
- 1 papers2026 · T1 1 · collecting
- 0 papers2025 · T1 0
- 1 papers2024 · T1 1
- 1 papers2023 · T1 0
T1 venuesOtherVenues: ICLR, ICML
Research focuspaper titles that use each topic's words
- Probabilistic & causal inference0 papers
- Generative & foundation models0 papers
- Image & video generation0 papers
- monte0 papers
- carlo0 papers
Paper list
From the lab homepage and DBLP.
20261 paper
20241 paper
- ICML (T1)Particle Denoising Diffusion Sampler
20231 paper
- Annals of StatisticsOn backward smoothing algorithms
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NTUFall 2027
Not announced yet
Computing and Data Science PhD
- Round
- Main
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS
- 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
- The lab homepage and DBLP
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.