Shaocong Wang

Orcid: 0000-0002-7195-8676

According to our database1, Shaocong Wang authored at least 17 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A survey of machine learning for Network-on-Chips.
J. Parallel Distributed Comput., April, 2024

2023
Towards One Shot & Pick All: 3D-OAS, an end-to-end framework for vision guided top-down parcel bin-picking using 3D-overlapping-aware instance segmentation and GNN.
Robotics Auton. Syst., September, 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

LARE: A Linear Approximate Reinforcement Learning Based Adaptive Routing for Network-on-Chips.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

DeTAR: A Decision Tree-Based Adaptive Routing in Networks-on-Chip.
Proceedings of the Euro-Par 2023: Parallel Processing - 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28, 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

Real time light-independent slope-failure monitoring using LiDAR and 2D-3D semantic segmentation.
Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022

2021
Local and correlation attention learning for subtle facial expression recognition.
Neurocomputing, 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

2019
Fractal Analysis on Artificial Profiles and Electroencephalography Signals by Roughness Scaling Extraction Algorithm.
IEEE Access, 2019

Local and Global Feature Learning for Subtle Facial Expression Recognition from Attention Perspective.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019


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