Yu Chen

16 papers A* 2A 1Misc 1Journal 5Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
H-PCC: Point Cloud Compression With Hybrid Mode Selection and Content Adaptive Down-Sampling.
IEEE Robotics Autom. Lett.
Bowen Liu, Yu Chen, Boyang Wang, Mingyu Yang, Hun-Seok Kim
2023 — conf
An 8.09TOPS/W Neural Engine Leveraging Bit-Sparsified Sign-Magnitude Multiplications and Dual Adder Trees.
ISSCC
Hyochan An, Yu Chen, Zichen Fan, Qirui Zhang, Pierre Abillama, Hun-Seok Kim, David T. Blaauw, Dennis Sylvester
2023 A* conf
MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy Coding.
CVPR
Bowen Liu, Yu Chen, Rakesh Chowdary Machineni, Shiyu Liu, Hun-Seok Kim
2023 J jnl
MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy Coding.
CoRR
Bowen Liu, Yu Chen, Rakesh Chowdary Machineni, Shiyu Liu, Hun-Seok Kim
2023 — conf
SONA: An Accelerator for Transform-Domain Neural Networks with Sparse-Orthogonal Weights.
ASAP
Pierre Abillama, Zichen Fan, Yu Chen, Hyochan An, Qirui Zhang, Seungkyu Choi, David T. Blaauw, Dennis Sylvester, Hun-Seok Kim
2022 Misc conf
An End-to-End Deep Learning Framework For Multiple Audio Source Separation And Localization.
ICASSP
Yu Chen, Bowen Liu, Zijian Zhang, Hun-Seok Kim
2022 — conf
Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection.
ECCV (38)
Mingyu Yang, Yu Chen, Hun-Seok Kim
2022 J jnl
Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection.
CoRR
Mingyu Yang, Yu Chen, Hun-Seok Kim
2021 A* conf
Deep Learning in Latent Space for Video Prediction and Compression.
CVPR
Bowen Liu, Yu Chen, Shiyu Liu, Hun-Seok Kim
2021 A conf
HTNN: Deep Learning in Heterogeneous Transform Domains with Sparse-Orthogonal Weights.
ISLPED
Yu Chen, Bowen Liu, Pierre Abillama, Hun-Seok Kim
2019 — conf
A 142nW Voice and Acoustic Activity Detection Chip for mm-Scale Sensor Nodes Using Time-Interleaved Mixer-Based Frequency Scanning.
ISSCC
Minchang Cho, Sechang Oh, Zhan Shi, Jongyup Lim, Yejoong Kim, Seokhyeon Jeong, Yu Chen, David T. Blaauw, Hun-Seok Kim, Dennis Sylvester
2019 — conf
An 879GOPS 243mW 80fps VGA Fully Visual CNN-SLAM Processor for Wide-Range Autonomous Exploration.
ISSCC
Ziyun Li, Yu Chen, Luyao Gong, Lu Liu, Dennis Sylvester, David T. Blaauw, Hun-Seok Kim
2019 J jnl
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
Sechang Oh, Minchang Cho, Zhan Shi, Jongyup Lim, Yejoong Kim, Seokhyeon Jeong, Yu Chen, Rohit Rothe, David T. Blaauw, Hun-Seok Kim, Dennis Sylvester
2018 J jnl
Always-On 12-nW Acoustic Sensing and Object Recognition Microsystem for Unattended Ground Sensor Nodes.
IEEE J. Solid State Circuits
Seokhyeon Jeong, Yu Chen, Tae-Kwang Jang, Julius Ming-Lin Tsai, David T. Blaauw, Hun-Seok Kim, Dennis Sylvester
2017 — conf
21.6 A 12nW always-on acoustic sensing and object recognition microsystem using frequency-domain feature extraction and SVM classification.
ISSCC
Seokhyeon Jeong, Yu Chen, Tae-Kwang Jang, Julius Ming-Lin Tsai, David T. Blaauw, Hun-Seok Kim, Dennis Sylvester
2016 — conf
A Dual-Stage, Ultra-Low-Power Acoustic Event Detection System.
SiPS
Yu Chen, Minchang Cho, Seokhyeon Jeong, David T. Blaauw, Dennis Sylvester, Hun-Seok Kim