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Qiang Ye

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Model-Assisted Learning for Adaptive Cooperative Perception of Connected Autonomous Vehicles

Jan 18, 2024
Kaige Qu, Weihua Zhuang, Qiang Ye, Wen Wu, Xuemin Shen

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SCP-GAN: Self-Correcting Discriminator Optimization for Training Consistency Preserving Metric GAN on Speech Enhancement Tasks

Oct 26, 2022
Vasily Zadorozhnyy, Qiang Ye, Kazuhito Koishida

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Breaking Time Invariance: Assorted-Time Normalization for RNNs

Sep 28, 2022
Cole Pospisil, Vasily Zadorozhnyy, Qiang Ye

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Orthogonal Gated Recurrent Unit with Neumann-Cayley Transformation

Aug 12, 2022
Edison Mucllari, Vasily Zadorozhnyy, Cole Pospisil, Duc Nguyen, Qiang Ye

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AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows

Jun 05, 2022
Difeng Cai, Yuliang Ji, Huan He, Qiang Ye, Yuanzhe Xi

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Symmetry Structured Convolutional Neural Networks

Mar 03, 2022
Kehelwala Dewage Gayan Maduranga, Vasily Zadorozhnyy, Qiang Ye

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Batch Normalization Preconditioning for Neural Network Training

Aug 02, 2021
Susanna Lange, Kyle Helfrich, Qiang Ye

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Adaptive Weighted Discriminator for Training Generative Adversarial Networks

Dec 05, 2020
Vasily Zadorozhnyy, Qiang Cheng, Qiang Ye

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Stochastic Gradient Descent with Nonlinear Conjugate Gradient-Style Adaptive Momentum

Dec 03, 2020
Bao Wang, Qiang Ye

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A two-stage framework for short-term wind power forecasting using different feature-learning models

May 31, 2020
Jiancheng Qin, Jin Yang, Ying Chen, Qiang Ye

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