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Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation

May 12, 2023
Yu Chen, Wei Deng, Shikai Fang, Fengpei Li, Nicole Tianjiao Yang, Yikai Zhang, Kashif Rasul, Shandian Zhe, Anderson Schneider, Yuriy Nevmyvaka

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A Lightweight Recurrent Learning Network for Sustainable Compressed Sensing

Apr 23, 2023
Yu Zhou, Yu Chen, Xiao Zhang, Pan Lai, Lei Huang, Jianmin Jiang

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Scalable Multiple Patterning Layout Decomposition Implemented by a Distribution Evolutionary Algorithm

Apr 09, 2023
Yu Chen, Yongjian Xu, Ning Xu

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MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy Coding

Apr 05, 2023
Bowen Liu, Yu Chen, Rakesh Chowdary Machineni, Shiyu Liu, Hun-Seok Kim

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DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields

Mar 25, 2023
Yu Chen, Gim Hee Lee

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AdaSfM: From Coarse Global to Fine Incremental Adaptive Structure from Motion

Jan 28, 2023
Yu Chen, Zihao Yu, Shu Song, Tianning Yu, Jianming Li, Gim Hee Lee

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Improving Noisy Student Training on Non-target Domain Data for Automatic Speech Recognition

Nov 09, 2022
Yu Chen, Wen Ding, Junjie Lai

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Temporal-Spatial dependencies ENhanced deep learning model (TSEN) for household leverage series forecasting

Oct 17, 2022
Hu Yang, Yi Huang, Haijun Wang, Yu Chen

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Predictive Scale-Bridging Simulations through Active Learning

Sep 20, 2022
Satish Karra, Mohamed Mehana, Nicholas Lubbers, Yu Chen, Abdourahmane Diaw, Javier E. Santos, Aleksandra Pachalieva, Robert S. Pavel, Jeffrey R. Haack, Michael McKerns, Christoph Junghans, Qinjun Kang, Daniel Livescu, Timothy C. Germann, Hari S. Viswanathan

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A Study of Shared-Control with Force Feedback for Obstacle Avoidance in Whole-body Telelocomotion of a Wheeled Humanoid

Sep 12, 2022
DongHoon Baek, Yu Chen, Chang, Joao Ramos

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