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Yubei Chen
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2020 – today
- 2024
- [c17]Yunhui Guo, Youren Zhang, Yubei Chen, Stella X. Yu:
Unsupervised Feature Learning with Emergent Data-Driven Prototypicality. CVPR 2024: 23199-23208 - [c16]Jiayun Wang, Yubei Chen, Stella X. Yu:
Pose-Aware Self-supervised Learning with Viewpoint Trajectory Regularization. ECCV (21) 2024: 19-37 - [c15]Chun-Hsiao Yeh, Jiayun Wang, Andrew D. Graham, Andrea J. Liu, Bo Tan, Yubei Chen, Yi Ma, Meng C. Lin:
Insight: A Multi-modal Diagnostic Pipeline Using LLMs for Ocular Surface Disease Diagnosis. MICCAI (1) 2024: 711-721 - [i28]Chun-Hsiao Yeh, Ta Ying Cheng, He-Yen Hsieh, Chuan-En Lin, Yi Ma, Andrew Markham, Niki Trigoni, Hsiang-Tsung Kung, Yubei Chen:
Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition. CoRR abs/2402.15504 (2024) - [i27]Jiayun Wang, Stella X. Yu, Yubei Chen:
Trajectory Regularization Enhances Self-Supervised Geometric Representation. CoRR abs/2403.14973 (2024) - [i26]Zhiyu Chen, Ziyuan Wen, Weier Wan, Akhil Reddy Pakala, Yiwei Zou, Wei-Chen Wei, Zengyi Li, Yubei Chen, Kaiyuan Yang:
PICO-RAM: A PVT-Insensitive Analog Compute-In-Memory SRAM Macro with In-Situ Multi-Bit Charge Computing and 6T Thin-Cell-Compatible Layout. CoRR abs/2407.12829 (2024) - [i25]Chun-Hsiao Yeh, Jiayun Wang, Andrew D. Graham, Andrea J. Liu, Bo Tan, Yubei Chen, Yi Ma, Meng C. Lin:
Insight: A Multi-Modal Diagnostic Pipeline using LLMs for Ocular Surface Disease Diagnosis. CoRR abs/2410.00292 (2024) - 2023
- [j7]Zengyi Li, Yubei Chen, Friedrich T. Sommer:
Learning Energy-Based Models in High-Dimensional Spaces with Multiscale Denoising-Score Matching. Entropy 25(10): 1367 (2023) - [j6]Yubei Chen, Adrien Bardes, Zengyi Li, Yann LeCun:
Bag of Image Patch Embedding Behind the Success of Self-Supervised Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c14]Yubei Chen, Zeyu Yun, Yi Ma, Bruno A. Olshausen, Yann LeCun:
Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform. ICLR 2023 - [c13]Quentin Garrido, Yubei Chen, Adrien Bardes, Laurent Najman, Yann LeCun:
On the duality between contrastive and non-contrastive self-supervised learning. ICLR 2023 - [c12]Pu Hua, Yubei Chen, Huazhe Xu:
Simple Emergent Action Representations from Multi-Task Policy Training. ICLR 2023 - [c11]Jiayun Wang, Yubei Chen, Stella X. Yu, Brian Cheung, Yann LeCun:
Compact and Optimal Deep Learning with Recurrent Parameter Generators. WACV 2023: 3889-3899 - [i24]Shengbang Tong, Yubei Chen, Yi Ma, Yann LeCun:
EMP-SSL: Towards Self-Supervised Learning in One Training Epoch. CoRR abs/2304.03977 (2023) - [i23]Jiachen Zhu, Ravid Shwartz-Ziv, Yubei Chen, Yann LeCun:
Variance-Covariance Regularization Improves Representation Learning. CoRR abs/2306.13292 (2023) - [i22]Yunhui Guo, Youren Zhang, Yubei Chen, Stella X. Yu:
Unsupervised Feature Learning with Emergent Data-Driven Prototypicality. CoRR abs/2307.01421 (2023) - [i21]Zeyu Yun, Juexiao Zhang, Bruno A. Olshausen, Yann LeCun, Yubei Chen:
URLOST: Unsupervised Representation Learning without Stationarity or Topology. CoRR abs/2310.04496 (2023) - 2022
- [j5]Hong-Ye Hu, Dian Wu, Yi-Zhuang You, Bruno A. Olshausen, Yubei Chen:
RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior. Mach. Learn. Sci. Technol. 3(3): 35009 (2022) - [c10]Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu:
Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers. CVPR 2022: 1-10 - [c9]Jiayun Wang, Jierui Lin, Qian Yu, Runtao Liu, Yubei Chen, Stella X. Yu:
3D Shape Reconstruction from Free-Hand Sketches. ECCV Workshops (8) 2022: 184-202 - [c8]Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu, Yubei Chen, Yann LeCun:
Decoupled Contrastive Learning. ECCV (26) 2022: 668-684 - [c7]Ho Yin Chau, Frank Qiu, Yubei Chen, Bruno A. Olshausen:
Disentangling images with Lie group transformations and sparse coding. NeurReps 2022: 22-47 - [i20]Zengyi Li, Yubei Chen, Yann LeCun, Friedrich T. Sommer:
Neural Manifold Clustering and Embedding. CoRR abs/2201.10000 (2022) - [i19]Quentin Garrido, Yubei Chen, Adrien Bardes, Laurent Najman, Yann LeCun:
On the duality between contrastive and non-contrastive self-supervised learning. CoRR abs/2206.02574 (2022) - [i18]Yubei Chen, Adrien Bardes, Zengyi Li, Yann LeCun:
Intra-Instance VICReg: Bag of Self-Supervised Image Patch Embedding. CoRR abs/2206.08954 (2022) - [i17]Bobak Toussi Kiani, Randall Balestriero, Yubei Chen, Seth Lloyd, Yann LeCun:
Joint Embedding Self-Supervised Learning in the Kernel Regime. CoRR abs/2209.14884 (2022) - [i16]Yubei Chen, Zeyu Yun, Yi Ma, Bruno A. Olshausen, Yann LeCun:
Minimalistic Unsupervised Learning with the Sparse Manifold Transform. CoRR abs/2209.15261 (2022) - [i15]Pu Hua, Yubei Chen, Huazhe Xu:
Simple Emergent Action Representations from Multi-Task Policy Training. CoRR abs/2210.09566 (2022) - [i14]Shengbang Tong, Xili Dai, Yubei Chen, Mingyang Li, Zengyi Li, Brent Yi, Yann LeCun, Yi Ma:
Unsupervised Learning of Structured Representations via Closed-Loop Transcription. CoRR abs/2210.16782 (2022) - 2021
- [j4]Zengyi Li, Yubei Chen, Friedrich T. Sommer:
A Neural Network MCMC Sampler That Maximizes Proposal Entropy. Entropy 23(3): 269 (2021) - [c6]Zeyu Yun, Yubei Chen, Bruno A. Olshausen, Yann LeCun:
Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors. DeeLIO@NAACL-HLT 2021: 1-10 - [c5]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:
The 2020 Low-Power Computer Vision Challenge. AICAS 2021: 1-4 - [i13]Zeyu Yun, Yubei Chen, Bruno A. Olshausen, Yann LeCun:
Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors. CoRR abs/2103.15949 (2021) - [i12]Jiayun Wang, Yubei Chen, Stella X. Yu, Brian Cheung, Yann LeCun:
Recurrent Parameter Generators. CoRR abs/2107.07110 (2021) - [i11]Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu:
Free Hyperbolic Neural Networks with Limited Radii. CoRR abs/2107.11472 (2021) - [i10]Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu, Yubei Chen, Yann LeCun:
Decoupled Contrastive Learning. CoRR abs/2110.06848 (2021) - 2020
- [b1]Yubei Chen:
The Sparse Manifold Transform and Unsupervised Learning for Signal Representation. University of California, Berkeley, USA, 2020 - [c4]Jiayun Wang, Yubei Chen, Rudrasis Chakraborty, Stella X. Yu:
Orthogonal Convolutional Neural Networks. CVPR 2020: 11502-11512 - [i9]Jiayun Wang, Jierui Lin, Qian Yu, Runtao Liu, Yubei Chen, Stella X. Yu:
3D Shape Reconstruction from Free-Hand Sketches. CoRR abs/2006.09694 (2020) - [i8]Hong-Ye Hu, Dian Wu, Yi-Zhuang You, Bruno A. Olshausen, Yubei Chen:
RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior. CoRR abs/2010.00029 (2020) - [i7]Zengyi Li, Yubei Chen, Friedrich T. Sommer:
A Neural Network MCMC sampler that maximizes Proposal Entropy. CoRR abs/2010.03587 (2020) - [i6]Ho Yin Chau, Frank Qiu, Yubei Chen, Bruno A. Olshausen:
Disentangling images with Lie group transformations and sparse coding. CoRR abs/2012.12071 (2020)
2010 – 2019
- 2019
- [c3]Brian Cheung, Alexander Terekhov, Yubei Chen, Pulkit Agrawal, Bruno A. Olshausen:
Superposition of many models into one. NeurIPS 2019: 10867-10876 - [i5]Brian Cheung, Alexander Terekhov, Yubei Chen, Pulkit Agrawal, Bruno A. Olshausen:
Superposition of many models into one. CoRR abs/1902.05522 (2019) - [i4]Juexiao Zhang, Yubei Chen, Brian Cheung, Bruno A. Olshausen:
Word Embedding Visualization Via Dictionary Learning. CoRR abs/1910.03833 (2019) - [i3]Zengyi Li, Yubei Chen, Friedrich T. Sommer:
Annealed Denoising Score Matching: Learning Energy-Based Models in High-Dimensional Spaces. CoRR abs/1910.07762 (2019) - [i2]Jiayun Wang, Yubei Chen, Rudrasis Chakraborty, Stella X. Yu:
Orthogonal Convolutional Neural Networks. CoRR abs/1911.12207 (2019) - 2018
- [c2]Yubei Chen, Dylan M. Paiton, Bruno A. Olshausen:
The Sparse Manifold Transform. NeurIPS 2018: 10534-10545 - [i1]Yubei Chen, Dylan M. Paiton, Bruno A. Olshausen:
The Sparse Manifold Transform. CoRR abs/1806.08887 (2018) - 2014
- [j3]Shuai Mu, Yangdong Deng, Yubei Chen, Huaiming Li, Jianming Pan, Wenjun Zhang, Zhihua Wang:
Orchestrating Cache Management and Memory Scheduling for GPGPU Applications. IEEE Trans. Very Large Scale Integr. Syst. 22(8): 1803-1814 (2014) - 2013
- [j2]Shuai Mu, Dongdong Li, Yubei Chen, Yangdong Deng, Zhihua Wang:
Exploiting the Task-Pipelined Parallelism of Stream Programs on Many-Core GPUs. IEICE Trans. Inf. Syst. 96-D(10): 2194-2207 (2013) - 2012
- [j1]Chun-Tao Hong, Dehao Chen, Yubei Chen, Wen-Guang Chen, Wei-Min Zheng, Haibo Lin:
Providing Source Code Level Portability Between CPU and GPU with MapCG. J. Comput. Sci. Technol. 27(1): 42-56 (2012) - 2011
- [c1]Yuhao Zhu, Yangdong Deng, Yubei Chen:
Hermes: an integrated CPU/GPU microarchitecture for IP routing. DAC 2011: 1044-1049
Coauthor Index
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last updated on 2024-11-15 20:40 CET by the dblp team
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