Yubei Chen - RankMe

67 papers A* 12A 1Journal 44Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Alpha-RF: Automated RF-Filter-Circuit Design with Neural Simulator and Reinforcement Learning. CoRR Nhat Tran, Chenjie Hao, Alexander N. Stameroff, Anh-Vu Pham, Yubei Chen
2026	A*	`conf`	Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs. AAAI Chun-Hsiao Yeh, Chenyu Wang, Shengbang Tong, Ta Ying Cheng, Ruoyu Wang, Tianzhe Chu, Yuexiang Zhai, Yubei Chen, Shenghua Gao, Yi Ma
2026	J	`jnl`	When Models Know When They Do Not Know: Calibration, Cascading, and Cleaning. CoRR Chenjie Hao, Weyl Lu, Yuko Ishiwaka, Zengyi Li, Weier Wan, Yubei Chen
2025	J	`jnl`	Clone Deterministic 3D Worlds with Geometrically-Regularized World Models. CoRR Zaishuo Xia, Yukuan Lu, Xinyi Li, Yifan Xu, Yubei Chen
2025	A*	`conf`	Neural Motion Simulator Pushing the Limit of World Models in Reinforcement Learning. CVPR Chenjie Hao, Weyl Lu, Yifan Xu, Yubei Chen
2025	J	`jnl`	Neural Motion Simulator: Pushing the Limit of World Models in Reinforcement Learning. CoRR Chenjie Hao, Weyl Lu, Yifan Xu, Yubei Chen
2025	J	`jnl`	PICO-RAM: A PVT-Insensitive Analog Compute-In-Memory SRAM Macro With In Situ Multi-Bit Charge Computing and 6T Thin-Cell-Compatible Layout. IEEE J. Solid State Circuits Zhiyu Chen, Ziyuan Wen, Weier Wan, Akhil Reddy Pakala, Yiwei Zou, Wei-Chen Wei, Zengyi Li, Yubei Chen, Kaiyuan Yang
2025	J	`jnl`	Scaling Non-Parametric Sampling with Representation. CoRR Vincent Lu, Aaron Truong, Zeyu Yun, Yubei Chen
2025	J	`jnl`	Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs. CoRR Chun-Hsiao Yeh, Chenyu Wang, Shengbang Tong, Ta Ying Cheng, Ruoyu Wang, Tianzhe Chu, Yuexiang Zhai, Yubei Chen, Shenghua Gao, Yi Ma
2025	J	`jnl`	SmallWorlds: Assessing Dynamics Understanding of World Models in Isolated Environments. CoRR Xinyi Li, Zaishuo Xia, Weyl Lu, Chenjie Hao, Yubei Chen
2025	—	`conf`	Task-Driven Semantic Quantization and Imitation Learning for Goal-Oriented Communications. ICC Yu-Chieh Chao, Yubei Chen, Weiwei Wang, Achintha Wijesinghe, Suchinthaka Wanninayaka, Songyang Zhang, Zhi Ding
2025	J	`jnl`	Task-Driven Semantic Quantization and Imitation Learning for Goal-Oriented Communications. CoRR Yu-Chieh Chao, Yubei Chen, Weiwei Wang, Achintha Wijesinghe, Suchinthaka Wanninayaka, Songyang Zhang, Zhi Ding
2025	A*	`conf`	URLOST: Unsupervised Representation Learning without Stationarity or Topology. ICLR Zeyu Yun, Juexiao Zhang, Yann LeCun, Yubei Chen
2024	J	`jnl`	Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition. CoRR Chun-Hsiao Yeh, Ta Ying Cheng, He-Yen Hsieh, Chuan-En Lin, Yi Ma, Andrew Markham, Niki Trigoni, Hsiang-Tsung Kung, Yubei Chen
2024	J	`jnl`	Insight: A Multi-Modal Diagnostic Pipeline using LLMs for Ocular Surface Disease Diagnosis. CoRR Chun-Hsiao Yeh, Jiayun Wang, Andrew D. Graham, Andrea J. Liu, Bo Tan, Yubei Chen, Yi Ma, Meng C. Lin
2024	—	`conf`	Insight: A Multi-modal Diagnostic Pipeline Using LLMs for Ocular Surface Disease Diagnosis. MICCAI (1) Chun-Hsiao Yeh, Jiayun Wang, Andrew D. Graham, Andrea J. Liu, Bo Tan, Yubei Chen, Yi Ma, Meng C. Lin
2024	J	`jnl`	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 Zhiyu Chen, Ziyuan Wen, Weier Wan, Akhil Reddy Pakala, Yiwei Zou, Wei-Chen Wei, Zengyi Li, Yubei Chen, Kaiyuan Yang
2024	—	`conf`	Pose-Aware Self-supervised Learning with Viewpoint Trajectory Regularization. ECCV (21) Jiayun Wang, Yubei Chen, Stella X. Yu
2024	J	`jnl`	Trajectory Regularization Enhances Self-Supervised Geometric Representation. CoRR Jiayun Wang, Stella X. Yu, Yubei Chen
2024	A*	`conf`	Unsupervised Feature Learning with Emergent Data-Driven Prototypicality. CVPR Yunhui Guo, Youren Zhang, Yubei Chen, Stella X. Yu
2024	—	`conf`	Unsupervised Learning of Structured Representation via Closed-Loop Transcription. CPAL Shengbang Tong, Xili Dai, Yubei Chen, Mingyang Li, Zengyi Li, Brent Yi, Yann LeCun, Yi Ma
2023	J	`jnl`	Bag of Image Patch Embedding Behind the Success of Self-Supervised Learning. Trans. Mach. Learn. Res. Yubei Chen, Adrien Bardes, Zengyi Li, Yann LeCun
2023	A	`conf`	Compact and Optimal Deep Learning with Recurrent Parameter Generators. WACV Jiayun Wang, Yubei Chen, Stella X. Yu, Brian Cheung, Yann LeCun
2023	J	`jnl`	EMP-SSL: Towards Self-Supervised Learning in One Training Epoch. CoRR Shengbang Tong, Yubei Chen, Yi Ma, Yann LeCun
2023	J	`jnl`	Learning Energy-Based Models in High-Dimensional Spaces with Multiscale Denoising-Score Matching. Entropy Zengyi Li, Yubei Chen, Friedrich T. Sommer
2023	A*	`conf`	Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform. ICLR Yubei Chen, Zeyu Yun, Yi Ma, Bruno A. Olshausen, Yann LeCun
2023	A*	`conf`	On the duality between contrastive and non-contrastive self-supervised learning. ICLR Quentin Garrido, Yubei Chen, Adrien Bardes, Laurent Najman, Yann LeCun
2023	A*	`conf`	Simple Emergent Action Representations from Multi-Task Policy Training. ICLR Pu Hua, Yubei Chen, Huazhe Xu
2023	J	`jnl`	URLOST: Unsupervised Representation Learning without Stationarity or Topology. CoRR Zeyu Yun, Juexiao Zhang, Bruno A. Olshausen, Yann LeCun, Yubei Chen
2023	J	`jnl`	Unsupervised Feature Learning with Emergent Data-Driven Prototypicality. CoRR Yunhui Guo, Youren Zhang, Yubei Chen, Stella X. Yu
2023	J	`jnl`	Variance-Covariance Regularization Improves Representation Learning. CoRR Jiachen Zhu, Ravid Shwartz-Ziv, Yubei Chen, Yann LeCun
2022	—	`conf`	3D Shape Reconstruction from Free-Hand Sketches. ECCV Workshops (8) Jiayun Wang, Jierui Lin, Qian Yu, Runtao Liu, Yubei Chen, Stella X. Yu
2022	A*	`conf`	Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers. CVPR Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu
2022	—	`conf`	Decoupled Contrastive Learning. ECCV (26) Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu, Yubei Chen, Yann LeCun
2022	—	`conf`	Disentangling images with Lie group transformations and sparse coding. NeurReps Ho Yin Chau, Frank Qiu, Yubei Chen, Bruno A. Olshausen
2022	J	`jnl`	Intra-Instance VICReg: Bag of Self-Supervised Image Patch Embedding. CoRR Yubei Chen, Adrien Bardes, Zengyi Li, Yann LeCun
2022	J	`jnl`	Joint Embedding Self-Supervised Learning in the Kernel Regime. CoRR Bobak Toussi Kiani, Randall Balestriero, Yubei Chen, Seth Lloyd, Yann LeCun
2022	J	`jnl`	Minimalistic Unsupervised Learning with the Sparse Manifold Transform. CoRR Yubei Chen, Zeyu Yun, Yi Ma, Bruno A. Olshausen, Yann LeCun
2022	J	`jnl`	Neural Manifold Clustering and Embedding. CoRR Zengyi Li, Yubei Chen, Yann LeCun, Friedrich T. Sommer
2022	J	`jnl`	On the duality between contrastive and non-contrastive self-supervised learning. CoRR Quentin Garrido, Yubei Chen, Adrien Bardes, Laurent Najman, Yann LeCun
2022	J	`jnl`	RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior. Mach. Learn. Sci. Technol. Hong-Ye Hu, Dian Wu, Yi-Zhuang You, Bruno A. Olshausen, Yubei Chen
2022	J	`jnl`	Simple Emergent Action Representations from Multi-Task Policy Training. CoRR Pu Hua, Yubei Chen, Huazhe Xu
2022	J	`jnl`	Unsupervised Learning of Structured Representations via Closed-Loop Transcription. CoRR Shengbang Tong, Xili Dai, Yubei Chen, Mingyang Li, Zengyi Li, Brent Yi, Yann LeCun, Yi Ma
2021	J	`jnl`	A Neural Network MCMC Sampler That Maximizes Proposal Entropy. Entropy Zengyi Li, Yubei Chen, Friedrich T. Sommer
2021	J	`jnl`	Decoupled Contrastive Learning. CoRR Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu, Yubei Chen, Yann LeCun
2021	J	`jnl`	Free Hyperbolic Neural Networks with Limited Radii. CoRR Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu
2021	J	`jnl`	Recurrent Parameter Generators. CoRR Jiayun Wang, Yubei Chen, Stella X. Yu, Brian Cheung, Yann LeCun
2021	—	`conf`	The 2020 Low-Power Computer Vision Challenge. AICAS 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
2021	—	`conf`	Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors. DeeLIO@NAACL-HLT Zeyu Yun, Yubei Chen, Bruno A. Olshausen, Yann LeCun
2021	J	`jnl`	Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors. CoRR Zeyu Yun, Yubei Chen, Bruno A. Olshausen, Yann LeCun
2020	J	`jnl`	3D Shape Reconstruction from Free-Hand Sketches. CoRR Jiayun Wang, Jierui Lin, Qian Yu, Runtao Liu, Yubei Chen, Stella X. Yu
2020	J	`jnl`	A Neural Network MCMC sampler that maximizes Proposal Entropy. CoRR Zengyi Li, Yubei Chen, Friedrich T. Sommer
2020	J	`jnl`	Disentangling images with Lie group transformations and sparse coding. CoRR Ho Yin Chau, Frank Qiu, Yubei Chen, Bruno A. Olshausen
2020	A*	`conf`	Orthogonal Convolutional Neural Networks. CVPR Jiayun Wang, Yubei Chen, Rudrasis Chakraborty, Stella X. Yu
2020	J	`jnl`	RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior. CoRR Hong-Ye Hu, Dian Wu, Yi-Zhuang You, Bruno A. Olshausen, Yubei Chen
2020	—	`—`	The Sparse Manifold Transform and Unsupervised Learning for Signal Representation. Yubei Chen
2019	J	`jnl`	Annealed Denoising Score Matching: Learning Energy-Based Models in High-Dimensional Spaces. CoRR Zengyi Li, Yubei Chen, Friedrich T. Sommer
2019	J	`jnl`	Orthogonal Convolutional Neural Networks. CoRR Jiayun Wang, Yubei Chen, Rudrasis Chakraborty, Stella X. Yu
2019	A*	`conf`	Superposition of many models into one. NeurIPS Brian Cheung, Alexander Terekhov, Yubei Chen, Pulkit Agrawal, Bruno A. Olshausen
2019	J	`jnl`	Superposition of many models into one. CoRR Brian Cheung, Alexander Terekhov, Yubei Chen, Pulkit Agrawal, Bruno A. Olshausen
2019	J	`jnl`	Word Embedding Visualization Via Dictionary Learning. CoRR Juexiao Zhang, Yubei Chen, Brian Cheung, Bruno A. Olshausen
2018	A*	`conf`	The Sparse Manifold Transform. NeurIPS Yubei Chen, Dylan M. Paiton, Bruno A. Olshausen
2018	J	`jnl`	The Sparse Manifold Transform. CoRR Yubei Chen, Dylan M. Paiton, Bruno A. Olshausen
2014	J	`jnl`	Orchestrating Cache Management and Memory Scheduling for GPGPU Applications. IEEE Trans. Very Large Scale Integr. Syst. Shuai Mu, Yangdong Deng, Yubei Chen, Huaiming Li, Jianming Pan, WenJun Zhang, Zhihua Wang
2013	J	`jnl`	Exploiting the Task-Pipelined Parallelism of Stream Programs on Many-Core GPUs. IEICE Trans. Inf. Syst. Shuai Mu, Dongdong Li, Yubei Chen, Yangdong Deng, Zhihua Wang
2012	J	`jnl`	Providing Source Code Level Portability Between CPU and GPU with MapCG. J. Comput. Sci. Technol. Chun-Tao Hong, Dehao Chen, Yubei Chen, Wen-Guang Chen, Wei-Min Zheng, Haibo Lin
2011	A*	`conf`	Hermes: an integrated CPU/GPU microarchitecture for IP routing. DAC Yuhao Zhu, Yangdong Deng, Yubei Chen