Erhu Feng
助理教授
Works on operating systems, architecture, AI accelerators and LLM training and inference optimization.
Erhu Feng's lab at SJTU works on efficient training & inference, accelerators, chips & architecture and learning theory & optimization. 8 papers since 2023, 5 at top venues, mostly ASPLOS and ACL. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 63%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 2 papers2026 · T1 1 · collecting
- 2 papers2025 · T1 1
- 3 papers2024 · T1 2
- 1 papers2023 · T1 1
T1 venuesOtherVenues: ASPLOS, ACL, HPCA, SOSP
Research focuspaper titles that use each topic's words
- Efficient training & inference4 papers
- Learning theory & optimization1 paper
- Accelerators, chips & architecture0 papers
- operating systems0 papers
- operating0 papers
Paper list
From the lab homepage.
20262 papers
- ACL (T1)ACL'26 Main
- —History Doesn't Repeat Itself but Rollouts Rhyme: Accelerating Reinforcement Learning with RhymeRL
20252 papers
- SOSP (T1)Characterizing Mobile SoC for Accelerating Heterogeneous LLM Inference
- ACM/IEEE Annual International Symposium on Computer Architecture (ISCA), Tokyo, JapanTopology-Aware Virtualization over Inter-Core Connected Neural Processing Units
20243 papers
- ASPLOS (T1)sIOPMP: Scalable and Efficient I/O Protection for TEEs
- ACM/IEEE Annual International Symposium on Computer Architecture (ISCA), Buenos Aires, ArgentinasNPU: Trusted Execution Environments on Integrated NPUs
- ASPLOS (T1)TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing
20231 paper
- HPCA (T1)Efficient distributed secure memory with migratable merkle tree
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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