Shaocong Wang

Orcid: 0000-0002-7195-8676

Affiliations:
  • University of Hong Kong, Department of Electrical and Electronic Engineering, Hong Kong


According to our database1, Shaocong Wang authored at least 20 papers between 2021 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Efficient modeling of ionic and electronic interactions by a resistive memory-based reservoir graph neural network.
Nat. Comput. Sci., December, 2025

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

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

Dynamic neural network with memristive CIM and CAM for 2D and 3D vision.
CoRR, 2024

Older and Wiser: The Marriage of Device Aging and Intellectual Property Protection of Deep Neural Networks.
CoRR, 2024

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

Efficient and accurate neural field reconstruction using resistive memory.
CoRR, 2024

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

Older and Wiser: The Marriage of Device Aging and Intellectual Property Protection of DNNs.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

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

2022
Convolutional Echo-State Network with Random Memristors for Spatiotemporal Signal Classification.
Adv. Intell. Syst., 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

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

Memristive Crossbar Arrays for Storage and Computing Applications.
Adv. Intell. Syst., 2021


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