Hongxiang Fan
Assistant Professor in Computing
Researches heterogeneous hardware systems and algorithm-hardware co-design for efficient machine learning, including LLM inference acceleration.
Hongxiang Fan's lab at Imperial works on efficient training & inference and accelerators, chips & architecture. 7 papers since 2023, 4 at top venues, mostly DAC and ICLR. 9 PhD students. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 57%
- PhD students
- 9
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 3 papers2024 · T1 2
- 4 papers2023 · T1 2
T1 venuesOtherVenues: DAC, ICLR, TNNLS
Research focuspaper titles that use each topic's words
- Accelerators, chips & architecture3 papers
- Efficient training & inference2 papers
- algorithm-hardware0 papers
- algorithm-hardware co-design0 papers
- inference acceleration0 papers
Paper list
From the lab homepage.
20243 papers
- ICLR (T1)Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages
- —Circular Reconfigurable Parallel Processor for Edge Computing
- DAC (T1)Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGA
20234 papers
- TNNLS (T1)Design of Fully Spectral CNNs for Efficient FPGA-based Acceleration
- IEEE Transactions on ComputersDesign Space Exploration for Efficient Quantum Most-Significant Digit-First Arithmetic
- —Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN WorkloadsA
- DAC (T1)When Monte-Carlo Dropout Meets Multi-Exit: Optimizing Bayesian Neural Networks on FPGA
Where alumni went
Alumni are not listed on the lab homepage.
Apply to Imperial2027 (Apr/Oct)
Computing PhD
- Round
- Round 2 (1 Dec 2026)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- none
Confirmed on the program page.
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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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