Meng Wu

22 papers A* 3A 4C 1Journal 7Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Quartet: A Digital Compute-in-Memory Versatile AI Accelerator With Heterogeneous Tensor Engines and Off-Chip-Less Dataflow.
IEEE Trans. Circuits Syst. I Regul. Pap.
Yikan Qiu, Guoxiang Li, Meng Wu, Yifan Jia, Le Ye, Yufei Ma
2025 A* conf
3D-TokSIM: Stacking 3D Memory with Token-Stationary Compute-in-Memory for Speculative LLM Inference.
DAC
Wentao Zhao, Boya Lv, Meng Wu, Peiyu Chen, Fengyun Yan, Yufei Ma, Tianyu Jia, Ru Huang, Le Ye
2025 J jnl
A 22-nm Delta-Sigma Computing-In-Memory SRAM Macro With Near-Zero-Mean Outputs and LSB-First ADCs for Edge AI Processing.
IEEE J. Solid State Circuits
Peiyu Chen, Wentao Zhao, Meng Wu, Linxiao Shen, Tianyu Jia, Ru Huang, Le Ye, Yufei Ma
2025 A conf
CIMTester: An Agile Golden-Result-Free BIST Compiler for Robust Compute-In-Memory.
ICCAD
Wenjie Ren, Meng Wu, Mingxuan Li, Peiyu Chen, Tianyu Jia, Le Ye
2025 J jnl
INT v.s. FP: A Comprehensive Study of Fine-Grained Low-bit Quantization Formats.
CoRR
Mengzhao Chen, Meng Wu, Hui Jin, Zhihang Yuan, Jing Liu, Chaoyi Zhang, Yunshui Li, Jie Huang, Jin Ma, Zeyue Xue, Zhiheng Liu, Xingyan Bin, Ping Luo
2025 A conf
Leveraging Compute-in-Memory for Efficient Generative Model Inference in TPUs.
DATE
Zhantong Zhu, Hongou Li, Wenjie Ren, Meng Wu, Le Ye, Ru Huang, Tianyu Jia
2025 J jnl
Leveraging Compute-in-Memory for Efficient Generative Model Inference in TPUs.
CoRR
Zhantong Zhu, Hongou Li, Wenjie Ren, Meng Wu, Le Ye, Ru Huang, Tianyu Jia
2024 — conf
30.2 A 22nm 0.26nW/Synapse Spike-Driven Spiking Neural Network Processing Unit Using Time-Step-First Dataflow and Sparsity-Adaptive In-Memory Computing.
ISSCC
Ying Liu, Yufei Ma, Ninghui Shang, Tianhao Zhao, Peiyu Chen, Meng Wu, Jiayoon Ru, Tianyu Jia, Le Ye, Zhixuan Wang, Ru Huang
2024 — conf
A Heterogeneous TinyML SoC with Energy-Event-Performance-Aware Management and Compute-in-Memory Two-Stage Event-Driven Wakeup.
VLSI Technology and Circuits
Yanchi Dong, Xueping Liu, Kangbo Bai, Guoxiang Li, Meng Wu, Yiqi Jing, Yihan Zhang, Pixian Zhan, Yadong Zhang, Yufei Ma, Ru Huang, Le Ye, Tianyu Jia
2024 A* conf
AIG-CIM: A Scalable Chiplet Module with Tri-Gear Heterogeneous Compute-in-Memory for Diffusion Acceleration.
DAC
Yiqi Jing, Meng Wu, Jiaqi Zhou, Yiyang Sun, Yufei Ma, Ru Huang, Tianyu Jia, Le Ye
2024 A* conf
An In-Memory Computing Accelerator with Reconfigurable Dataflow for Multi-Scale Vision Transformer with Hybrid Topology.
DAC
Zhiyuan Chen, Yufei Ma, Keyi Li, Yifan Jia, Guoxiang Li, Meng Wu, Tianyu Jia, Le Ye, Ru Huang
2024 J jnl
DCIM-GCN: Digital Computing-in-Memory Accelerator for Graph Convolutional Network.
IEEE Trans. Circuits Syst. I Regul. Pap.
Yufei Ma, Yikan Qiu, Wentao Zhao, Guoxiang Li, Meng Wu, Tianyu Jia, Le Ye, Ru Huang
2024 — conf
Quartet: A 22nm 0.09mJ/lnference Digital Compute-in-Memory Versatile AI Accelerator with Heterogeneous Tensor Engines and Off-Chip-Less Dataflow.
CICC
Yikan Qiu, Yufei Ma, Meng Wu, Yifan Jia, Xinyu Qu, Zecheng Zhou, Jincheng Lou, Tianyu Jia, Le Ye, Ru Huang
2024 — conf
S2D-CIM: A 22nm 128Kb Systolic Digital Compute-in-Memory Macro with Domino Data Path for Flexible Vector Operation and 2-D Weight Update in Edge AI Applications.
CICC
Meng Wu, Wenjie Ren, Peiyu Chen, Wentao Zhao, Yiqi Jing, Jiayoon Ru, Zhixuan Wang, Yufei Ma, Ru Huang, Tianyu Jia, Le Ye
2023 — conf
A 22nm Delta-Sigma Computing-In-Memory (Δ∑CIM) SRAM Macro with Near-Zero-Mean Outputs and LSB-First ADCs Achieving 21.38TOPS/W for 8b-MAC Edge AI Processing.
ISSCC
Peiyu Chen, Meng Wu, Wentao Zhao, Jiajia Cui, Zhixuan Wang, Yadong Zhang, Qijun Wang, Jiayoon Ru, Linxiao Shen, Tianyu Jia, Yufei Ma, Le Ye, Ru Huang
2023 A conf
DCIM-3DRec: A 3D Reconstruction Accelerator with Digital Computing-in-Memory and Octree-Based Scheduler.
ISLPED
Yiqi Jing, Yiyang Sun, Xiao Wang, Wentao Zhao, Meng Wu, Fengyun Yan, Yufei Ma, Le Ye, Tianyu Jia
2023 — conf
RIMAC: An Array-Level ADC/DAC-Free ReRAM-Based in-Memory DNN Processor with Analog Cache and Computation.
ASP-DAC
Peiyu Chen, Meng Wu, Yufei Ma, Le Ye, Ru Huang
2023 J jnl
Research progress on low-power artificial intelligence of things (AIoT) chip design.
Sci. China Inf. Sci.
Le Ye, Zhixuan Wang, Tianyu Jia, Yufei Ma, Linxiao Shen, Yihan Zhang, Heyi Li, Peiyu Chen, Meng Wu, Ying Liu, Yiqi Jing, Hao Zhang, Ru Huang
2022 — conf
An 82nW 0.53pJ/SOP Clock-Free Spiking Neural Network with 40µs Latency for AloT Wake-Up Functions Using Ultimate-Event-Driven Bionic Architecture and Computing-in-Memory Technique.
ISSCC
Ying Liu, Zhixuan Wang, Wei He, Linxiao Shen, Yihan Zhang, Peiyu Chen, Meng Wu, Hao Zhang, Peng Zhou, Jinguang Liu, Guangyu Sun, Jiayoon Ru, Le Ye, Ru Huang
2022 A conf
DCIM-GCN: Digital Computing-in-Memory to Efficiently Accelerate Graph Convolutional Networks.
ICCAD
Yikan Qiu, Yufei Ma, Wentao Zhao, Meng Wu, Le Ye, Ru Huang
2022 C conf
Reliability-Improved Read Circuit and Self-Terminating Write Circuit for STT-MRAM in 16 nm FinFET.
ISCAS
Chang Xue, Yihan Zhang, Peiyu Chen, Mingwei Zhu, Tianqiao Wu, Meng Wu, Yandong He, Le Ye
2021 J jnl
The Challenges and Emerging Technologies for Low-Power Artificial Intelligence IoT Systems.
IEEE Trans. Circuits Syst. I Regul. Pap.
Le Ye, Zhixuan Wang, Ying Liu, Peiyu Chen, Heyi Li, Hao Zhang, Meng Wu, Wei He, Linxiao Shen, Yihan Zhang, Zhichao Tan, Yangyuan Wang, Ru Huang