Search Results for author: Jun Lin

Found 12 papers, 3 papers with code

Leveraging Online Shopping Behaviors as a Proxy for Personal Lifestyle Choices: New Insights into Chronic Disease Prevention Literacy

no code implementations29 Apr 2021 Yongzhen Wang, Xiaozhong Liu, Katy Börner, Jun Lin, Yingnan Ju, Changlong Sun, Luo Si

Objective: Ubiquitous internet access is reshaping the way we live, but it is accompanied by unprecedented challenges in preventing chronic diseases that are usually planted by long exposure to unhealthy lifestyles.

Medical Diagnosis

Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling

1 code implementation14 Dec 2020 Yicheng Zou, Lujun Zhao, Yangyang Kang, Jun Lin, Minlong Peng, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu

In a customer service system, dialogue summarization can boost service efficiency by automatically creating summaries for long spoken dialogues in which customers and agents try to address issues about specific topics.

Magnetic Reconnection Invoked by Sweeping of the CME-Driven Fast-Mode Shock

no code implementations24 Oct 2020 Guiping Zhou, Guannan Gao, Jingxiu Wang, Jun Lin, Yingna Su, Chunlan Jin, Yuzong Zhang

By revisiting the successive eruptions on 2012 March 7, fast-mode shocks are identified to account for the X5. 4 flare-related EUV wave with a velocity of 550 km/s, and appeared faster than 2060$\pm$270 km/s at the front of the corresponding coronal mass ejection in the slow-rising phase.

Solar and Stellar Astrophysics

Using Customer Service Dialogues for Satisfaction Analysis with Context-Assisted Multiple Instance Learning

no code implementations IJCNLP 2019 Kaisong Song, Lidong Bing, Wei Gao, Jun Lin, Lujun Zhao, Jiancheng Wang, Changlong Sun, Xiaozhong Liu, Qiong Zhang

Customers ask questions and customer service staffs answer their questions, which is the basic service model via multi-turn customer service (CS) dialogues on E-commerce platforms.

Multiple Instance Learning

Training Deep Neural Networks Using Posit Number System

no code implementations6 Sep 2019 Jinming Lu, Siyuan Lu, Zhisheng Wang, Chao Fang, Jun Lin, Zhongfeng Wang, Li Du

With the increasing size of Deep Neural Network (DNN) models, the high memory space requirements and computational complexity have become an obstacle for efficient DNN implementations.

Image Classification

Design Light-weight 3D Convolutional Networks for Video Recognition Temporal Residual, Fully Separable Block, and Fast Algorithm

no code implementations31 May 2019 Haonan Wang, Jun Lin, Zhongfeng Wang

Deep 3-dimensional (3D) Convolutional Network (ConvNet) has shown promising performance on video recognition tasks because of its powerful spatio-temporal information fusion ability.

Video Recognition

SGAD: Soft-Guided Adaptively-Dropped Neural Network

no code implementations4 Jul 2018 Zhisheng Wang, Fangxuan Sun, Jun Lin, Zhongfeng Wang, Bo Yuan

Based on the developed guideline and adaptive dropping mechanism, an innovative soft-guided adaptively-dropped (SGAD) neural network is proposed in this paper.

Model Compression

Parameter-free $\ell_p$-Box Decoding of LDPC Codes

1 code implementation29 Nov 2017 Qiong Wu, Fan Zhang, Hao Wang, Jun Lin, Yang Liu

The Alternating Direction Method of Multipliers (ADMM) decoding of Low Density Parity Check (LDPC) codes has received many attentions due to its excellent performance at the error floor region.

Information Theory Information Theory

Intra-layer Nonuniform Quantization for Deep Convolutional Neural Network

no code implementations10 Jul 2016 Fangxuan Sun, Jun Lin, Zhongfeng Wang

In this paper, an equal distance nonuniform quantization (ENQ) scheme and a K-means clustering nonuniform quantization (KNQ) scheme are proposed to reduce the required memory storage when low complexity hardware or software implementations are considered.

General Classification Object Detection +2

Cannot find the paper you are looking for? You can Submit a new open access paper.