Yu Chen

Orcid: 0000-0002-3008-9208

Affiliations:
  • University of Michigan, Electrical Engineering and Computer Science, Ann Arbor, MI, USA
  • Texas A&M University, College Station, TX, USA


According to our database1, Yu Chen authored at least 13 papers between 2016 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
An 8.09TOPS/W Neural Engine Leveraging Bit-Sparsified Sign-Magnitude Multiplications and Dual Adder Trees.
Proceedings of the IEEE International Solid- State Circuits Conference, 2023

MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy Coding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SONA: An Accelerator for Transform-Domain Neural Networks with Sparse-Orthogonal Weights.
Proceedings of the 34th IEEE International Conference on Application-specific Systems, 2023

2022
An End-to-End Deep Learning Framework For Multiple Audio Source Separation And Localization.
Proceedings of the IEEE International Conference on Acoustics, 2022

Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
HTNN: Deep Learning in Heterogeneous Transform Domains with Sparse-Orthogonal Weights.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2021

Deep Learning in Latent Space for Video Prediction and Compression.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019
An Acoustic Signal Processing Chip With 142-nW Voice Activity Detection Using Mixer-Based Sequential Frequency Scanning and Neural Network Classification.
IEEE J. Solid State Circuits, 2019

An 879GOPS 243mW 80fps VGA Fully Visual CNN-SLAM Processor for Wide-Range Autonomous Exploration.
Proceedings of the IEEE International Solid- State Circuits Conference, 2019

A 142nW Voice and Acoustic Activity Detection Chip for mm-Scale Sensor Nodes Using Time-Interleaved Mixer-Based Frequency Scanning.
Proceedings of the IEEE International Solid- State Circuits Conference, 2019

2018
Always-On 12-nW Acoustic Sensing and Object Recognition Microsystem for Unattended Ground Sensor Nodes.
IEEE J. Solid State Circuits, 2018

2017
21.6 A 12nW always-on acoustic sensing and object recognition microsystem using frequency-domain feature extraction and SVM classification.
Proceedings of the 2017 IEEE International Solid-State Circuits Conference, 2017

2016
A Dual-Stage, Ultra-Low-Power Acoustic Event Detection System.
Proceedings of the 2016 IEEE International Workshop on Signal Processing Systems, 2016


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