Yi Li

Orcid: 0000-0001-8061-6099

Affiliations:
  • Huazhong University of Science and Technology, School of Integrated Circuits, Wuhan, China
  • Hubei Yangtze Memory Laboratories, Wuhan, China


According to our database1, Yi Li authored at least 39 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2025
Reconfigurable Digital RRAM Logic Enables In-Situ Pruning and Learning for Edge AI.
CoRR, June, 2025

Reconfigurable Digital RRAM Logic Enables In-Situ Pruning and Learning for Edge AI.
CoRR, June, 2025

ArPCIM: An Arbitrary-Precision Analog Computing-in-Memory Accelerator With Unified INT/FP Arithmetic.
IEEE Trans. Circuits Syst. I Regul. Pap., May, 2025

Resistive memory-based zero-shot liquid state machine for multimodal event data learning.
Nat. Comput. Sci., January, 2025

3D self-rectifying memristive ternary content addressable memory for massive and exact in-memory search.
Sci. China Inf. Sci., 2025

2024
Energy Efficient Memristive Transiently Chaotic Neural Network for Combinatorial Optimization.
IEEE Trans. Circuits Syst. I Regul. Pap., August, 2024

Fully Binarized Graph Convolutional Network Accelerator Based on In-Memory Computing with Resistive Random-Access Memory.
Adv. Intell. Syst., July, 2024

Topology Optimization of Random Memristors for Input-Aware Dynamic SNN.
CoRR, 2024

Continuous-Time Digital Twin with Analogue Memristive Neural Ordinary Differential Equation Solver.
CoRR, 2024

Continuous-Time Digital Twin with Analogue Memristive Neural Ordinary Differential Equation Solver.
CoRR, 2024

Resistive Memory-based Neural Differential Equation Solver for Score-based Diffusion Model.
CoRR, 2024

Resistive Memory-based Neural Differential Equation Solver for Score-based Diffusion Model.
CoRR, 2024

Forming-free, Uniform, and Multi-level Resistive Switching in W/AlOxNy/Al2O3/Pt Memristor by Nitrogen Annealing Strategy.
Proceedings of the IEEE International Conference on Integrated Circuits, 2024

High-speed Memristive Walsh-Hadamard Transform for Image Compression.
Proceedings of the IEEE International Conference on Integrated Circuits, 2024

LSMR: Synergy Randomness in Liquid State Machine and RRAM-based Analog-digital Accelerator.
Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

2023
A Scalable Small-Footprint Time-Space-Pipelined Architecture for Reservoir Computing.
IEEE Trans. Circuits Syst. II Express Briefs, August, 2023

An ADC-Less RRAM-Based Computing-in-Memory Macro With Binary CNN for Efficient Edge AI.
IEEE Trans. Circuits Syst. II Express Briefs, June, 2023

In-Memory Search for Highly Efficient Image Retrieval.
Adv. Intell. Syst., March, 2023

Echo state graph neural networks with analogue random resistive memory arrays.
Nat. Mac. Intell., February, 2023

A memristive neural network based matrix equation solver with high versatility and high energy efficiency.
Sci. China Inf. Sci., February, 2023

Memristive Cosine-Similarity-Based Few-Shot Learning with Lifelong Memory Adaptation.
Adv. Intell. Syst., February, 2023

Random resistive memory-based deep extreme point learning machine for unified visual processing.
CoRR, 2023

Pruning random resistive memory for optimizing analogue AI.
CoRR, 2023

Resistive memory-based zero-shot liquid state machine for multimodal event data learning.
CoRR, 2023

Heterogeneous Instruction Set Architecture for RRAM-enabled In-memory Computing.
Proceedings of the 18th ACM International Symposium on Nanoscale Architectures, 2023

Energy-Efficient ReRAM-Based High-Precision Discrete Fourier Transform for Image Reconstruction.
Proceedings of the IEEE International Conference on Integrated Circuits, 2023

2022
2022 roadmap on neuromorphic devices and applications research in China.
Neuromorph. Comput. Eng., December, 2022

Complementary Memtransistor-Based Multilayer Neural Networks for Online Supervised Learning Through (Anti-)Spike-Timing-Dependent Plasticity.
IEEE Trans. Neural Networks Learn. Syst., 2022

Low-time-complexity document clustering using memristive dot product engine.
Sci. China Inf. Sci., 2022

Mixed-Precision Continual Learning Based on Computational Resistance Random Access Memory.
Adv. Intell. Syst., 2022

Few-shot graph learning with robust and energy-efficient memory-augmented graph neural network (MAGNN) based on homogeneous computing-in-memory.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022

3D Reservoir Computing with High Area Efficiency (5.12 TOPS/mm<sup>2</sup>) Implemented by 3D Dynamic Memristor Array for Temporal Signal Processing.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022

2021
Echo state graph neural networks with analogue random resistor arrays.
CoRR, 2021

Energy-Efficient Memristive Euclidean Distance Engine for Brain-Inspired Competitive Learning.
Adv. Intell. Syst., 2021

Large On/Off and Rectification Ratios, Self-Compliance, High-Uniformity in Pt/Al2O3/TaOx/Ta Self-Rectifying Memristors.
Proceedings of the 2021 IEEE International Conference on Integrated Circuits, 2021

2020
Recent Progress on Memristive Convolutional Neural Networks for Edge Intelligence.
Adv. Intell. Syst., 2020

Design for Enhancing the Performance of Memristive Convolution Neural Network.
Proceedings of the 2020 IEEE International Conference on Integrated Circuits, 2020

Analysis of Memristive Quantized Convolutional Neural Network Accelerator with Device Nonideality.
Proceedings of the 2020 IEEE International Conference on Integrated Circuits, 2020

2018
Memcomputing: fusion of memory and computing.
Sci. China Inf. Sci., 2018


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