Search Results for author: Zheng Liang

Found 11 papers, 2 papers with code

S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search

no code implementations ECCV 2020 Zhihang Yuan, Bingzhe Wu, Guangyu Sun, Zheng Liang, Shiwan Zhao, Weichen Bi

To this end, based on a given CNN model, we first generate a CNN architecture space in which each architecture is a multi-stage CNN generated from the given model using some predefined transformations.

Neural Architecture Search

Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning

no code implementations9 Dec 2023 Chen Liang, Donghua Yang, Zhiyu Liang, Hongzhi Wang, Zheng Liang, Xiyang Zhang, Jianfeng Huang

In contrast to conventional methods that fuse features from multiple modalities, our proposed approach simplifies the neural architecture by retaining a single time series encoder, consequently leading to preserved scalability.

Feature Engineering Inductive Bias +2

Incorporating Class-based Language Model for Named Entity Recognition in Factorized Neural Transducer

no code implementations14 Sep 2023 Peng Wang, Yifan Yang, Zheng Liang, Tian Tan, Shiliang Zhang, Xie Chen

In spite of the excellent strides made by end-to-end (E2E) models in speech recognition in recent years, named entity recognition is still challenging but critical for semantic understanding.

Language Modelling named-entity-recognition +3

Improving Code-Switching and Named Entity Recognition in ASR with Speech Editing based Data Augmentation

no code implementations14 Jun 2023 Zheng Liang, Zheshu Song, Ziyang Ma, Chenpeng Du, Kai Yu, Xie Chen

Recently, end-to-end (E2E) automatic speech recognition (ASR) models have made great strides and exhibit excellent performance in general speech recognition.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +5

Contrastive Shapelet Learning for Unsupervised Multivariate Time Series Representation Learning

1 code implementation30 May 2023 Zhiyu Liang, Jianfeng Zhang, Chen Liang, Hongzhi Wang, Zheng Liang, Lujia Pan

Recent studies have shown great promise in unsupervised representation learning (URL) for multivariate time series, because URL has the capability in learning generalizable representation for many downstream tasks without using inaccessible labels.

Anomaly Detection Data Augmentation +2

Auto-CASH: Autonomous Classification Algorithm Selection with Deep Q-Network

no code implementations7 Jul 2020 Tianyu Mu, Hongzhi Wang, Chunnan Wang, Zheng Liang

In our work, we present Auto-CASH, a pre-trained model based on meta-learning, to solve the CASH problem more efficiently.

BIG-bench Machine Learning General Classification +2

S2DNAS:Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search

no code implementations16 Nov 2019 Zhihang Yuan, Bingzhe Wu, Zheng Liang, Shiwan Zhao, Weichen Bi, Guangyu Sun

Recently, dynamic inference has emerged as a promising way to reduce the computational cost of deep convolutional neural network (CNN).

Neural Architecture Search

Jointly Adversarial Network to Wavelength Compensation and Dehazing of Underwater Images

no code implementations12 Jul 2019 Xueyan Ding, Yafei Wang, Yang Yan, Zheng Liang, Zetian Mi, Xianping Fu

Different from most of previous underwater image enhancement methods that compute light attenuation along object-camera path through hazy image formation model, we propose a novel jointly wavelength compensation and dehazing network (JWCDN) that takes into account the wavelength attenuation along surface-object path and the scattering along object-camera path simultaneously.

Generative Adversarial Network Image Enhancement +1

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