Songhua Liu
助理教授
Works on generative AI and training models with generated data.
Songhua Liu's lab at SJTU works on generative & foundation models. 15 papers since 2023, 12 at top venues, mostly CVPR and NeurIPS. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 80%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 5 papers2025 · T1 4
- 5 papers2024 · T1 5
- 5 papers2023 · T1 3
T1 venuesOtherVenues: CVPR, NeurIPS, ICCV, ICML, ECCV
Research focuspaper titles that use each topic's words
- Generative & foundation models1 paper
- training1 paper
- generative0 papers
- artificial intelligence0 papers
- artificial0 papers
Paper list
From the lab homepage.
20255 papers
- NeurIPS (T1)CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up
- ICCV OralHeavy Labels Out! Dataset Distillation with Label Space Lightening
- NeurIPS (T1)Image Editing As Programs with Diffusion Models
- ICCV (T1)OminiControl: Minimal and Universal Control for Diffusion Transformer
- ICML (T1)Ultra-Resolution Adaptation with Ease
20245 papers
- CVPR (T1)Distilled Datamodel with Reverse Gradient Matching
- CVPR (T1)Mindbridge: A Cross-Subject Brain Decoding Framework
- NeurIPS (T1)One-Shot Federated Learning via Synthetic Distiller-Distillate Communication
- ICML (T1)StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization
- ECCV (T1)Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching
20235 papers
- TPAMI (T1)Dataset Distillation: A Comprehensive Review
- ICCV (T1)Few-Shot Dataset Distillation via Translative Pre-training
- CVPR (T1)Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer
- NeurIPS SpotlightMGDD: A Meta Generator for Fast Dataset Distillation
- CVPR HighlightSlimmable Dataset Condensation
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 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
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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