Hermes: an integrated CPU/GPU microarchitecture for IP routing. - Yuhao Zhu 001; Yangdong Deng; Yubei Chen (DAC, 2011)

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)

Exploiting the Task-Pipelined Parallelism of Stream Programs on Many-Core GPUs. - Shuai Mu 002; Dongdong Li; Yubei Chen; Yangdong Deng; Zhihua Wang 001 (IEICE Trans. Inf. Syst., 2013)

Orchestrating Cache Management and Memory Scheduling for GPGPU Applications. - Shuai Mu 002; Yangdong Deng; Yubei Chen; Huaiming Li; Jianming Pan; Wenjun Zhang; Zhihua Wang 001 (IEEE Trans. Very Large Scale Integr. Syst., 2014)

The Sparse Manifold Transform. - Yubei Chen; Dylan M. Paiton; Bruno A. Olshausen (NeurIPS, 2018)

Superposition of many models into one. - Brian Cheung; Alexander Terekhov; Yubei Chen; Pulkit Agrawal 001; Bruno A. Olshausen (NeurIPS, 2019)

Word Embedding Visualization Via Dictionary Learning. - Juexiao Zhang; Yubei Chen; Brian Cheung; Bruno A. Olshausen (CoRR, 2019)

Annealed Denoising Score Matching: Learning Energy-Based Models in High-Dimensional Spaces. - Zengyi Li; Yubei Chen; Friedrich T. Sommer (CoRR, 2019)

Orthogonal Convolutional Neural Networks. - Jiayun Wang; Yubei Chen; Rudrasis Chakraborty; Stella X. Yu (CVPR, 2020)

The Sparse Manifold Transform and Unsupervised Learning for Signal Representation. - Yubei Chen (2020)

Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors. - Zeyu Yun; Yubei Chen; Bruno A. Olshausen; Yann LeCun (DeeLIO@NAACL-HLT, 2021)

The 2020 Low-Power Computer Vision Challenge. - Xiao Hu 004; Ming-Ching Chang; Yuwei Chen; Rahul Sridhar; Zhenyu Hu; Yunhe Xue; Zhenyu Wu 002; Pengcheng Pi; Jiayi Shen; Jianchao Tan; Xiangru Lian; Ji Liu 002; et al. (AICAS, 2021)

Recurrent Parameter Generators. - Jiayun Wang; Yubei Chen; Stella X. Yu; Brian Cheung; Yann LeCun (CoRR, 2021)

Free Hyperbolic Neural Networks with Limited Radii. - Yunhui Guo; Xudong Wang 007; Yubei Chen; Stella X. Yu (CoRR, 2021)

A Neural Network MCMC Sampler That Maximizes Proposal Entropy. - Zengyi Li; Yubei Chen; Friedrich T. Sommer (Entropy, 2021)

Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers. - Yunhui Guo; Xudong Wang 007; Yubei Chen; Stella X. Yu (CVPR, 2022)

3D Shape Reconstruction from Free-Hand Sketches. - Jiayun Wang; Jierui Lin; Qian Yu; Runtao Liu; Yubei Chen; Stella X. Yu (ECCV Workshops (8), 2022)

Decoupled Contrastive Learning. - Chun-Hsiao Yeh; Cheng-Yao Hong; Yen-Chi Hsu; Tyng-Luh Liu; Yubei Chen; Yann LeCun (ECCV (26), 2022)

Disentangling images with Lie group transformations and sparse coding. - Ho Yin Chau; Frank Qiu; Yubei Chen; Bruno A. Olshausen (NeurReps, 2022)

Neural Manifold Clustering and Embedding. - Zengyi Li; Yubei Chen; Yann LeCun; Friedrich T. Sommer (CoRR, 2022)

Intra-Instance VICReg: Bag of Self-Supervised Image Patch Embedding. - Yubei Chen; Adrien Bardes; Zengyi Li; 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)

Minimalistic Unsupervised Learning with the Sparse Manifold Transform. - Yubei Chen; Zeyu Yun; Yi Ma 001; Bruno A. Olshausen; Yann LeCun (CoRR, 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 001 (CoRR, 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)

Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform. - Yubei Chen; Zeyu Yun; Yi Ma 001; Bruno A. Olshausen; Yann LeCun (ICLR, 2023)

On the duality between contrastive and non-contrastive self-supervised learning. - Quentin Garrido; Yubei Chen; Adrien Bardes; Laurent Najman; Yann LeCun (ICLR, 2023)

Simple Emergent Action Representations from Multi-Task Policy Training. - Pu Hua; Yubei Chen; Huazhe Xu (ICLR, 2023)

Compact and Optimal Deep Learning with Recurrent Parameter Generators. - Jiayun Wang; Yubei Chen; Stella X. Yu; Brian Cheung; Yann LeCun (WACV, 2023)

EMP-SSL: Towards Self-Supervised Learning in One Training Epoch. - Shengbang Tong; Yubei Chen; Yi Ma 001; Yann LeCun (CoRR, 2023)

Variance-Covariance Regularization Improves Representation Learning. - Jiachen Zhu 002; Ravid Shwartz-Ziv; Yubei Chen; Yann LeCun (CoRR, 2023)

URLOST: Unsupervised Representation Learning without Stationarity or Topology. - Zeyu Yun; Juexiao Zhang; Bruno A. Olshausen; Yann LeCun; Yubei Chen (CoRR, 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)

Learning Energy-Based Models in High-Dimensional Spaces with Multiscale Denoising-Score Matching. - Zengyi Li; Yubei Chen; Friedrich T. Sommer (Entropy, 2023)

Unsupervised Learning of Structured Representation via Closed-Loop Transcription. - Shengbang Tong; Xili Dai; Yubei Chen; Mingyang Li; Zengyi Li; Brent Yi; Yann LeCun; Yi Ma 001 (CPAL, 2024)

Unsupervised Feature Learning with Emergent Data-Driven Prototypicality. - Yunhui Guo; Youren Zhang; Yubei Chen; Stella X. Yu (CVPR, 2024)

Pose-Aware Self-supervised Learning with Viewpoint Trajectory Regularization. - Jiayun Wang; Yubei Chen; Stella X. Yu (ECCV (21), 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 001; Meng C. Lin (MICCAI (1), 2024)

Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition. - Chun-Hsiao Yeh; Ta Ying Cheng; He-Yen Hsieh; Chuan-En Lin; Yi Ma 001; Andrew Markham; Niki Trigoni; Hsiang-Tsung Kung 001; Yubei Chen (CoRR, 2024)

Trajectory Regularization Enhances Self-Supervised Geometric Representation. - Jiayun Wang; Stella X. Yu; Yubei Chen (CoRR, 2024)

Neural Motion Simulator Pushing the Limit of World Models in Reinforcement Learning. - Chenjie Hao; Weyl Lu; Yifan Xu; Yubei Chen (CVPR, 2025)

URLOST: Unsupervised Representation Learning without Stationarity or Topology. - Zeyu Yun; Juexiao Zhang; Yann LeCun; Yubei Chen (ICLR, 2025)

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 003; Ziyuan Wen; Weier Wan; Akhil Reddy Pakala; Yiwei Zou; Wei-Chen Wei; Zengyi Li; Yubei Chen; Kaiyuan Yang 001 (IEEE J. Solid State Circuits, 2025)

Task-Driven Semantic Quantization and Imitation Learning for Goal-Oriented Communications. - Yu-Chieh Chao; Yubei Chen; Weiwei Wang; Achintha Wijesinghe; Suchinthaka Wanninayaka; Songyang Zhang; Zhi Ding 001 (CoRR, 2025)

Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs. - Chun-Hsiao Yeh; Chenyu Wang; Shengbang Tong; Ta Ying Cheng; Ruoyu Wang 014; Tianzhe Chu; Yuexiang Zhai; Yubei Chen; Shenghua Gao; Yi Ma 001 (CoRR, 2025)