Bonan Yan
助理教授
Researches AI chip design, emerging non-volatile memory VLSI and compute-in-memory architectures.
Bonan Yan's lab at Peking works on accelerators, chips & architecture. 7 papers since 2023, 2 at top venues, mostly HPCA. 9 PhD students. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 29%
- PhD students
- 9
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 1 papers2026 · T1 1 · collecting
- 2 papers2025 · T1 1
- 0 papers2024 · T1 0
- 4 papers2023 · T1 0
T1 venuesOtherVenues: HPCA
Research focuspaper titles that use each topic's words
- Accelerators, chips & architecture3 papers
- compute-in-memory1 paper
- chip design0 papers
- vlsi0 papers
- emerging0 papers
Paper list
From the lab homepage.
20261 paper
- HPCA (T1)ESTroM: Element-Flow Architecture For Processing Sparse Tractable Probabilistic Models
20252 papers
20234 papers
- ACM/SIGDA International Symposium on Field Programmable Gate ArraysAccelerating Neural-Ode Inference on Fpgas With Two-Stage Structured Pruning And History-Based Stepsize Search (opens in a new tab)
- AICASLive Demonstration: SRAM Compute-In-Memory Based Visual & Aural Recognition System (opens in a new tab)
- ACM Great Lakes Symposium on VLSISRAM-Based Processing-In-Memory Design with Kullback-Leibler Divergence-Based Dynamic Precision Quantization (opens in a new tab)
- DATESTAR: An Efficient Softmax Engine For Attention Model With RRAM Crossbar (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to PekingFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- 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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