Search Results for author: Hui Shi

Found 7 papers, 4 papers with code

Batch-less stochastic gradient descent for compressive learning of deep regularization for image denoising

no code implementations2 Oct 2023 Hui Shi, Yann Traonmilin, J-F Aujol

Thanks to the maximum a posteriori Bayesian framework, such regularizer can be systematically linked with the distribution of the data.

Image Denoising

Everyone's Preference Changes Differently: Weighted Multi-Interest Retrieval Model

1 code implementation14 Jul 2022 Hui Shi, Yupeng Gu, Yitong Zhou, Bo Zhao, Sicun Gao, Jishen Zhao

In this paper, we propose the Multi-Interest Preference (MIP) model, an approach that not only produces multi-interest for users by using the user's sequential engagement more effectively but also automatically learns a set of weights to represent the preference over each embedding so that the candidates can be retrieved from each interest proportionally.

Recommendation Systems Retrieval

Learning Bounded Context-Free-Grammar via LSTM and the Transformer:Difference and Explanations

1 code implementation16 Dec 2021 Hui Shi, Sicun Gao, Yuandong Tian, Xinyun Chen, Jishen Zhao

With the forced decomposition, we show that the performance upper bounds of LSTM and Transformer in learning CFL are close: both of them can simulate a stack and perform stack operation along with state transitions.

Continuous Convolutional Neural Network forNonuniform Time Series

no code implementations25 Sep 2019 Hui Shi, Yang Zhang, Hao Wu, Shiyu Chang, Kaizhi Qian, Mark Hasegawa-Johnson, Jishen Zhao

Convolutional neural network (CNN) for time series data implicitly assumes that the data are uniformly sampled, whereas many event-based and multi-modal data are nonuniform or have heterogeneous sampling rates.

Time Series Time Series Analysis

Towards Safety-Aware Computing System Design in Autonomous Vehicles

no code implementations21 May 2019 Hengyu Zhao, Yubo Zhang, Pingfan Meng, Hui Shi, Li Erran Li, Tiancheng Lou, Jishen Zhao

To address this issue, we propose a `safety score' as a primary metric for measuring the level of safety in AV computing system design.

Autonomous Driving Management

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