Yubei Chen

According to our database, Yubei Chen authored at least 40 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PICO-RAM: A PVT-Insensitive Analog Compute-In-Memory SRAM Macro with In-Situ Multi-Bit Charge Computing and 6T Thin-Cell-Compatible Layout.

Zhiyu Chen, Ziyuan Wen, Weier Wan, Akhil Reddy Pakala, Yiwei Zou, Wei-Chen Wei, Zengyi Li, Yubei Chen, Kaiyuan Yang

CoRR, 2024

Trajectory Regularization Enhances Self-Supervised Geometric Representation.

Jiayun Wang, Stella X. Yu, Yubei Chen

CoRR, 2024

Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition.

Chun-Hsiao Yeh, Ta Ying Cheng, He-Yen Hsieh, Chuan-En Lin, Yi Ma, Andrew Markham, Niki Trigoni, Hsiang-Tsung Kung, Yubei Chen

CoRR, 2024

Insight: A Multi-modal Diagnostic Pipeline Using LLMs for Ocular Surface Disease Diagnosis.

Chun-Hsiao Yeh, Jiayun Wang, Andrew D. Graham, Andrea J. Liu, Bo Tan, Yubei Chen, Yi Ma, Meng C. Lin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Pose-Aware Self-supervised Learning with Viewpoint Trajectory Regularization.

Jiayun Wang, Yubei Chen, Stella X. Yu

Proceedings of the Computer Vision - ECCV 2024, 2024

Unsupervised Feature Learning with Emergent Data-Driven Prototypicality.

Yunhui Guo, Youren Zhang, Yubei Chen, Stella X. Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Learning Energy-Based Models in High-Dimensional Spaces with Multiscale Denoising-Score Matching.

Zengyi Li, Yubei Chen, Friedrich T. Sommer

Entropy, October, 2023

Bag of Image Patch Embedding Behind the Success of Self-Supervised Learning.

Yubei Chen, Adrien Bardes, Zengyi Li, Yann LeCun

Trans. Mach. Learn. Res., 2023

URLOST: Unsupervised Representation Learning without Stationarity or Topology.

Zeyu Yun, Juexiao Zhang, Bruno A. Olshausen, Yann LeCun, Yubei Chen

CoRR, 2023

Variance-Covariance Regularization Improves Representation Learning.

Jiachen Zhu, Ravid Shwartz-Ziv, Yubei Chen, Yann LeCun

CoRR, 2023

EMP-SSL: Towards Self-Supervised Learning in One Training Epoch.

Shengbang Tong, Yubei Chen, Yi Ma, Yann LeCun

CoRR, 2023

Compact and Optimal Deep Learning with Recurrent Parameter Generators.

Jiayun Wang, Yubei Chen, Stella X. Yu, Brian Cheung, Yann LeCun

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Simple Emergent Action Representations from Multi-Task Policy Training.

Pu Hua, Yubei Chen, Huazhe Xu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

On the duality between contrastive and non-contrastive self-supervised learning.

Quentin Garrido, Yubei Chen, Adrien Bardes, Laurent Najman, Yann LeCun

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform.

Yubei Chen, Zeyu Yun, Yi Ma, Bruno A. Olshausen, Yann LeCun

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior.

Hong-Ye Hu, Dian Wu, Yi-Zhuang You, Bruno A. Olshausen, Yubei Chen

Mach. Learn. Sci. Technol., 2022

Unsupervised Learning of Structured Representations via Closed-Loop Transcription.

Shengbang Tong, Xili Dai, Yubei Chen, Mingyang Li, Zengyi Li, Brent Yi, Yann LeCun, Yi Ma

CoRR, 2022

Minimalistic Unsupervised Learning with the Sparse Manifold Transform.

Yubei Chen, Zeyu Yun, Yi Ma, Bruno A. Olshausen, Yann LeCun

CoRR, 2022

Joint Embedding Self-Supervised Learning in the Kernel Regime.

Bobak Toussi Kiani, Randall Balestriero, Yubei Chen, Seth Lloyd, Yann LeCun

CoRR, 2022

Intra-Instance VICReg: Bag of Self-Supervised Image Patch Embedding.

Yubei Chen, Adrien Bardes, Zengyi Li, Yann LeCun

CoRR, 2022

Neural Manifold Clustering and Embedding.

Zengyi Li, Yubei Chen, Yann LeCun, Friedrich T. Sommer

CoRR, 2022

Disentangling images with Lie group transformations and sparse coding.

Ho Yin Chau, Frank Qiu, Yubei Chen, Bruno A. Olshausen

Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2022

Decoupled Contrastive Learning.

Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu, Yubei Chen, Yann LeCun

Proceedings of the Computer Vision - ECCV 2022, 2022

3D Shape Reconstruction from Free-Hand Sketches.

Jiayun Wang, Jierui Lin, Qian Yu, Runtao Liu, Yubei Chen, Stella X. Yu

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers.

Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

A Neural Network MCMC Sampler That Maximizes Proposal Entropy.

Zengyi Li, Yubei Chen, Friedrich T. Sommer

Entropy, 2021

Free Hyperbolic Neural Networks with Limited Radii.

Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu

CoRR, 2021

Recurrent Parameter Generators.

Jiayun Wang, Yubei Chen, Stella X. Yu, Brian Cheung, Yann LeCun

CoRR, 2021

The 2020 Low-Power Computer Vision Challenge.

Xiao Hu, Ming-Ching Chang, Yuwei Chen, Rahul Sridhar, Zhenyu Hu, Yunhe Xue, Zhenyu Wu, Pengcheng Pi, Jiayi Shen, Jianchao Tan, Xiangru Lian, Ji Liu, Zhangyang Wang, Chia-Hsiang Liu, Yu-Shin Han, Yuan-Yao Sung, Yi Lee, Kai-Chiang Wu, Wei-Xiang Guo, Rick Lee, Shengwen Liang, Zerun Wang, Guiguang Ding, Gang Zhang, Teng Xi, Yubei Chen, Han Cai, Ligeng Zhu, Zhekai Zhang, Song Han, Seonghwan Jeong, YoungMin Kwon, Tianzhe Wang, Jeffery Pan

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors.

Zeyu Yun, Yubei Chen, Bruno A. Olshausen, Yann LeCun

Proceedings of Deep Learning Inside Out: The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, 2021

2020

The Sparse Manifold Transform and Unsupervised Learning for Signal Representation.

Yubei Chen

PhD thesis, 2020

Orthogonal Convolutional Neural Networks.

Jiayun Wang, Yubei Chen, Rudrasis Chakraborty, Stella X. Yu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Annealed Denoising Score Matching: Learning Energy-Based Models in High-Dimensional Spaces.

Zengyi Li, Yubei Chen, Friedrich T. Sommer

CoRR, 2019

Word Embedding Visualization Via Dictionary Learning.

Juexiao Zhang, Yubei Chen, Brian Cheung, Bruno A. Olshausen

CoRR, 2019

Superposition of many models into one.

Brian Cheung, Alexander Terekhov, Yubei Chen, Pulkit Agrawal, Bruno A. Olshausen

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

The Sparse Manifold Transform.

Yubei Chen, Dylan M. Paiton, Bruno A. Olshausen

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2014

Orchestrating Cache Management and Memory Scheduling for GPGPU Applications.

Shuai Mu, Yangdong Deng, Yubei Chen, Huaiming Li, Jianming Pan, Wenjun Zhang, Zhihua Wang

IEEE Trans. Very Large Scale Integr. Syst., 2014

2013

Exploiting the Task-Pipelined Parallelism of Stream Programs on Many-Core GPUs.

Shuai Mu, Dongdong Li, Yubei Chen, Yangdong Deng, Zhihua Wang

IEICE Trans. Inf. Syst., 2013

2012

Providing Source Code Level Portability Between CPU and GPU with MapCG.

Chun-Tao Hong, Dehao Chen, Yubei Chen, Wen-Guang Chen, Wei-Min Zheng, Haibo Lin

J. Comput. Sci. Technol., 2012

2011

Hermes: an integrated CPU/GPU microarchitecture for IP routing.

Yuhao Zhu, Yangdong Deng, Yubei Chen

Proceedings of the 48th Design Automation Conference, 2011