LabCompass

Cheng Chu

Computer Science · Indiana University

Publications

13

Citations

70

Est. group size

Recurring co-author estimate

Active years

21

Publishing since 2004

Research summary
AI-generated

Cheng Chu works on computer hardware and architecture for artificial intelligence and emerging computing systems. Their research includes designing specialized accelerators (custom chips) to run deep learning more efficiently and reliably, as well as architectures for quantum computing and processing-in-memory systems. The overall focus is on making advanced computation faster, more energy-efficient, and fault-tolerant.

Hardware accelerators for deep learningFault-tolerant computing architecturesProcessing-in-memory (PIM) systemsQuantum computing architecturesEnergy-efficient neural network hardware

Publication activity has been relatively low and intermittent over the past decade, with a peak around 2020-2021 and occasional output since.

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

Publication cadence
Publications per year over the last 10 years — averaging 0.6/year recently
1718192020: 2 publications202021: 4 publications421222023: 1 publication232024: 2 publications242526
Publishes in
  • arXiv (Cornell University)×2
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems×1
  • ACM Transactions on Design Automation of Electronic Systems×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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