Chen Chen
Tenured Track Associate Professor
Works on distributed machine learning, LLM inference, cloud scheduling and cache management.
Chen Chen's lab at SJTU works on efficient training & inference and distributed, cloud & edge systems. 11 papers since 2023, 2 at top venues, mostly INFOCOM and OSDI. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 18%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 6 papers2024 · T1 2
- 5 papers2023 · T1 0
T1 venuesOtherVenues: INFOCOM, OSDI
Research focuspaper titles that use each topic's words
- Efficient training & inference7 papers
- Distributed, cloud & edge systems2 papers
- scheduling1 paper
- llm inference0 papers
- distributed machine0 papers
Paper list
From the lab homepage.
20246 papers
- IEEE International Symposium on High-Performance Computer ArchitectureAn Optimizing Framework on MLIR for Efficient FPGA-based Accelerator Generation
- ACM Conference on Architectural Support for Programming Languages and Operating SystemsDataFlower: Exploiting the Data-flow Paradigm for Serverless Workflows
- INFOCOM (T1)DPBalance: Efficient and Fair Privacy Budget Scheduling for Federated Learning as a Service
- International Conference on Parallel Processing ProceedingsFedCA: Efficient Federated Learning with Client Autonomy
- OSDI (T1)Parrot: Efficient Serving of LLM-based Applications with Semantic Variable
- IEEE/ACM International Symposium on Quality of ServicePAS: Towards Accurate and Efficient Federated Learning with Parameter-Adaptive Synchronization
20235 papers
- IEEE Transactions on Cloud ComputingAccelerating Distributed Learning in Non-Dedicated Environments
- ACM International Conference on Parallel ProcessingASFL: Adaptive Semi-asynchronous Federated Learning for Balancing Model Accuracy and Total Latency in Mobile Edge Networks
- IEEE Journal on Selected Areas in CommunicationsGIFT: Towards Accurate and Efficient Federated Learning with Gradient-Instructed Frequency Tuning
- IEEE International Conference on Computer DesignSTAG: Enabling Low Latency and Low Staleness of GNN-based Services with Dynamic Graphs
- IEEE Transactions on Parallel and Distributed SystemsSynchronize Only the Immature Parameters: Communication-Efficient Federated Learning By Freezing Parameters Adaptively
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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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
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Tiers are venue classifications, not lab rankings.
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