Qinyu Chen

Orcid: 0009-0005-9480-6164

According to our database1, Qinyu Chen authored at least 41 papers between 2003 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
HAS-RL: A Hierarchical Approximate Scheme Optimized With Reinforcement Learning for NoC-Based NN Accelerators.
IEEE Trans. Circuits Syst. I Regul. Pap., April, 2024

A Flexible Alternating Current Field Measurement Magnetic Sensor Array for In Situ Inspection of Cracks in Underwater Structure.
IEEE Trans. Instrum. Meas., 2024

DPD-NeuralEngine: A 22-nm 6.6-TOPS/W/mm<sup>2</sup> Recurrent Neural Network Accelerator for Wideband Power Amplifier Digital Pre-Distortion.
CoRR, 2024

CleanUMamba: A Compact Mamba Network for Speech Denoising using Channel Pruning.
CoRR, 2024

SlimSeiz: Efficient Channel-Adaptive Seizure Prediction Using a Mamba-Enhanced Network.
CoRR, 2024

FACET: Fast and Accurate Event-Based Eye Tracking Using Ellipse Modeling for Extended Reality.
CoRR, 2024

DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.
CoRR, 2024

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.
CoRR, 2024

A 65nm 36nJ/Decision Bio-inspired Temporal-Sparsity-Aware Digital Keyword Spotting IC with 0.6V Near-Threshold SRAM.
CoRR, 2024

MP-DPD: Low-Complexity Mixed-Precision Neural Networks for Energy-Efficient Digital Predistortion of Wideband Power Amplifiers.
CoRR, 2024

Retrieval-based Full-length Wikipedia Generation for Emergent Events.
CoRR, 2024

Epilepsy Seizure Detection and Prediction using an Approximate Spiking Convolutional Transformer.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Selecting Large Language Model to Fine-tune via Rectified Scaling Law.
Proceedings of the Forty-first International Conference on Machine Learning, 2024


2023
To Spike or Not to Spike: A Digital Hardware Perspective on Deep Learning Acceleration.
IEEE J. Emerg. Sel. Topics Circuits Syst., December, 2023

An End-to-End Physics-Informed Neural Network for Defect Identification and 3-D Reconstruction Using Rotating Alternating Current Field Measurement.
IEEE Trans. Ind. Informatics, July, 2023

Lift-Off Point of Intersection for Eliminating Lift-Off Noise in Alternating Current Field Measurement.
IEEE Trans. Instrum. Meas., 2023

An Area-Efficient Ultra-Low-Power Time-Domain Feature Extractor for Edge Keyword Spotting.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Exploring In-Context Learning for Knowledge Grounded Dialog Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

FrameFire: Enabling Efficient Spiking Neural Network Inference for Video Segmentation.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022
Cerebron: A Reconfigurable Architecture for Spatiotemporal Sparse Spiking Neural Networks.
IEEE Trans. Very Large Scale Integr. Syst., 2022

A 67.5μJ/Prediction Accelerator for Spiking Neural Networks in Image Segmentation.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

An Energy Efficient STDP-Based SNN Architecture With On-Chip Learning.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022

Skydiver: A Spiking Neural Network Accelerator Exploiting Spatio-Temporal Workload Balance.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Unsupervised Learning Based on Temporal Coding Using STDP in Spiking Neural Networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Domain Adaptation via Maximizing Surrogate Mutual Information.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Deep Spiking Neural Network with Ternary Spikes.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

Enabling Energy-Efficient Inference for Self-Attention Mechanisms in Neural Networks.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021
Optimizing Vertical Link Placement and Congestion Aware Dynamic Elevator Assignment for Partially Connected 3D-NoCs.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Domain Adaptation via Maximizing Surrogate Mutual Information.
CoRR, 2021

Pair Learning in Robotics Education: Design, Outcomes, and Lessons Learned.
Proceedings of the 2021 IEEE International Conference on Engineering, 2021

Reducing Latency in a Converted Spiking Video Segmentation Network.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

2020
An Efficient Accelerator for Multiple Convolutions From the Sparsity Perspective.
IEEE Trans. Very Large Scale Integr. Syst., 2020

Exploring How Game Genre in Student-Designed Games Influences Computational Thinking Development.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019
Thermal Sensor Placement and Thermal Reconstruction Under Gaussian and Non-Gaussian Sensor Noises for 3-D NoC.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

Congestion-Aware Dynamic Elevator Assignment for Partially Connected 3D-NoCs.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Smilodon: An Efficient Accelerator for Low Bit-Width CNNs with Task Partitioning.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

ANN Based Adaptive Successive Cancellation List Decoder for Polar Codes.
Proceedings of the 13th IEEE International Conference on ASIC, 2019

2004
NUAT B-spline curves.
Comput. Aided Geom. Des., 2004

2003
A class of Bézier-like curves.
Comput. Aided Geom. Des., 2003


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