Welcome!
Our group focues on investigating efficient and flexible AI hardware acceleration through innovations across circuits, architectures, and algorithms.
Topics of research include,
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Energy-Efficient AI/ML Accelerator
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[CICC 2024], [ICCAD 2022], [TCAS-I 2022], et al.
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In/Near-Memory Computing
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[JSSC 2025], [DAC 2025], [ISSCC 2023], [CICC 2024], et al.
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Algorithm-Hardware Co-Optimization
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[CVPR 2025], [DAC 2024], [TCAS-I 2024], [TCAS-I 2022], et al.
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Neuromorphic Computing
- [ISSCC 2024], [TCAS-I 2023], [CICC 2023], et al.
We are continuously recruiting PhD students and postdoctoral fellows who are passionate about relevant fields.