Shaocong Wang
Orcid: 0000-0002-7195-8676Affiliations:
- 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:
Collaborative distances:
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on orcid.org
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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
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
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
Nat. Mac. Intell., February, 2023
Random resistive memory-based deep extreme point learning machine for unified visual processing.
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
Adv. Intell. Syst., 2021