Zhijian Liu
Assistant Professor
Develops efficient machine learning and systems, including model compression and fast inference for large models.
Zhijian Liu's lab at UCSD works on efficient training & inference, data management & big data and large language models. 7 papers since 2023, 7 at top venues, mostly CoRL and ICML. 3 PhD students. 1 alumnus. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 100%
- PhD students
- 3
- MS students
- 0
- alumni listed
- 1
Papers by yearfrom the lab homepage, 2023–2026
- 4 papers2026 · T1 4 · collecting
- 3 papers2025 · T1 3
- 0 papers2024 · T1 0
- 0 papers2023 · T1 0
T1 venuesOtherVenues: CoRL, ICML, CVPR, ICCV, ICLR
Research focuspaper titles that use each topic's words
- Efficient training & inference5 papers
- Large language models4 papers
- fast1 paper
- Data management & big data0 papers
- develops efficient0 papers
Paper list
From the lab homepage.
20264 papers
- ICML (T1)DFlash: Block Diffusion for Flash Speculative Decoding (opens in a new tab)
- CoRL (T1)FlashDrive: Flash Vision-Language-Action Inference For Autonomous Driving (opens in a new tab)
- CoRL (T1)FlashVLA: Streaming Action Decoding for Fast and Asynchronous VLA Inference (opens in a new tab)
- ICLR (T1)ParoQuant: Pairwise Rotation Quantization for Efficient Reasoning LLM Inference (opens in a new tab)
Where alumni went1 listed
Apply to UCSDFall 2027
UCSD CSE Computer Science PhD
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Data
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- Members
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Tiers are venue classifications, not lab rankings.
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