LabCompass

Fan Chen

Computer Science · Indiana University

OpenAlex ORCID
Quantum Computing Algorithms and ArchitectureAdvanced Memory and Neural ComputingQuantum Information and CryptographyComputer Graphics and Visualization TechniquesAdvancements in Semiconductor Devices and Circuit Design

Publications

87

Citations

396

Est. group size

—

Recurring co-author estimate

Active years

25

Publishing since 2002

Research summary
AI-generated

Fan Chen works in computer science with an emphasis on quantum computing algorithms and architectures, hardware for machine learning (including in-memory and ReRAM-based processing), and the efficiency and carbon footprint of large-scale AI systems. The work spans building quantum machine learning methods, designing specialized computing hardware, and studying the resource costs of training large language models. Some publications also touch on quality-of-service prediction for online services and high-performance computing data management.

Quantum computing and quantum machine learningAI hardware and in-memory computingCarbon footprint and scaling of large AI modelsMultimodal large language modelsQuality-of-service prediction and big data systems

Publication activity grew sharply after 2020, peaking at around 15-16 papers per year from 2022 to 2024, with recent-year counts still being tallied.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 11.2/year recently
172018: 2 publications182019: 1 publication192020: 1 publication202021: 6 publications212022: 16 publications16222023: 15 publications232024: 15 publications242025: 7 publications252026: 3 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×16
  • IEEE Circuits and Systems Magazine×3
  • 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD)×1
  • Quantum Science and Technology×1
  • IEEE Transactions on Services Computing×1

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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