Zhixuan Wang

发表

New Insights into the Physical Origin of Negative Capacitance and Hysteresis in NCFETs

Ru Huang, Qianqian Huang, Cheng Chen, 2018, 2018 IEEE International Electron Devices Meeting (IEDM).

Ultra-Low Power Hybrid TFET-MOSFET Topologies for Standard Logic Cells with Improved Comprehensive Performance

Le Ye, Yangyuan Wang, Yuan Zhong, 2019, 2019 IEEE International Symposium on Circuits and Systems (ISCAS).

Combinational Access Tunnel FET SRAM for Ultra-Low Power Applications

Le Ye, Cheng Chen, Ru Huang, 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).

The Challenges and Emerging Technologies for Low-Power Artificial Intelligence IoT Systems

Ru Huang, Zhichao Tan, Linxiao Shen, 2021, IEEE Transactions on Circuits and Systems I: Regular Papers.

An 82-nW 0.53-pJ/SOP Clock-Free Spiking Neural Network With 40-μs Latency for AIoT Wake-Up Functions Using a Multilevel-Event-Driven Bionic Architecture and Computing-in-Memory Technique

W. He, Linxiao Shen, Le Ye, 2023, IEEE Transactions on Circuits and Systems I: Regular Papers.

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

W. He, Linxiao Shen, Peng Zhou, 2022, 2022 IEEE International Solid- State Circuits Conference (ISSCC).

20.2 A 57nW Software-Defined Always-On Wake-Up Chip for IoT Devices with Asynchronous Pipelined Event-Driven Architecture and Time-Shielding Level-Crossing ADC

Ru Huang, Yangyuan Wang, Le Ye, 2020, 2020 IEEE International Solid- State Circuits Conference - (ISSCC).

A 148-nW Reconfigurable Event-Driven Intelligent Wake-Up System for AIoT Nodes Using an Asynchronous Pulse-Based Feature Extractor and a Convolutional Neural Network

Ru Huang, Zhichao Tan, Linxiao Shen, 2021, IEEE Journal of Solid-State Circuits.

A Software-Defined Always-On System With 57–75-nW Wake-Up Function Using Asynchronous Clock-Free Pipelined Event-Driven Architecture and Time-Shielding Level-Crossing ADC

Ru Huang, Yangyuan Wang, Z. Tan, 2021, IEEE Journal of Solid-State Circuits.

A A 22nm 0.43pJ/SOP Sparsity-Aware In-Memory Neuromorphic Computing System with Hybrid Spiking and Artificial Neural Network and Configurable Topology

W. He, Tianyu Jia, Le Ye, 2023, IEEE Custom Integrated Circuits Conference.

7.8 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

Linxiao Shen, Peiyu Chen, Tianyu Jia, 2023, IEEE International Solid-State Circuits Conference.

New Insights Into Energy Efficiency of Tunnel FET With Awareness of Source Doping Gradient Variation

Ru Huang, Qianqian Huang, Rundong Jia, 2018, IEEE Transactions on Electron Devices.

Re-Assessment of Steep-Slope Device Design From a Circuit-Level Perspective Using Novel Evaluation Criteria and Model-Less Method

Le Ye, Ru Huang, Yangyuan Wang, 2021, IEEE Transactions on Circuits and Systems I: Regular Papers.