NICS Tsinghua University · Department of Electronic Engineering
NICS-AIM
AI × Mixed-signal
Led by Prof. Huazhong Yang and Prof. Xueqing Li
- 2Members
- 191Publications
- 2Research areas
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Join our lab anytime — exciting research in Compute-in-Memory, D/A converters, and beyond-CMOS circuits.
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Recent publications
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2026
A Full-Digital Heterogenous Computing-in-Memory with Dual-Bit Serialized Weight Stream and Ping-Pong Computing for Efficient Transformer Acceleration
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2026
HEIRS-PS: Hybrid Three-dimensional RRAM- and SRAM-CIM for Pipelined Sparse Multi-Task Transformer Acceleration
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2026
A Folded-Differential Switched-Capacitor SRAM CIM Macro With Scalable MAC Sizes for TinyML Inference
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2026
From Analog to Digital-Assisted Techniques: Modern RF DAC Design for High Speed and Dynamic Range
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2026
ROM-SRAM Hybrid Compute-in-Memory for Edge AI: Circuits, Architectures and Challenges
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2026
FSDB: A Folded-Store Dynamic-Broaden Hybrid Compute-in-ROM/SRAM Architecture for Deploying Large-Scale DNNs On-Chip
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2026
EGO: Efficient Compression of Unstructured Sparse DNNs for Compute-in-Memory based on Graph Minimum-Cost Matching Optimization
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2026
A Heterogeneous CIM Architecture with Splittable Non-Volatile Computing-in-SRAM Cell-Pairs Enabling Efficient On-Chip Neural Network Inference
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2026
An NVM Non-Idealities Mitigation Solution Using Cell-Clustered Calibration for Analog High-Density Edge Multi-Level Cell Compute-in-Memory
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2025
Charge-domain content addressable memory based on ferroelectric capacitive memory for reliable and energy-efficientone-shot learning