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Hybrid embedding and joint training of stacked encoder for opinion question machine reading comprehension

Xiang-zhou Huang, Si-liang Tang, Yin Zhang, Bao-gang Wei,huangxiangzhou@zju.edu.cn,siliang@zju.edu.cn,yinzh@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 9,   Pages 1267-1412 doi: 10.1631/FITEE.1900571

Abstract: Opinion question (MRC) requires a machine to answer questions by analyzing corresponding passages. Compared with traditional MRC tasks where the answer to every question is a segment of text in corresponding passages, opinion question MRC is more challenging because the answer to an opinion question may not appear in corresponding passages but needs to be deduced from multiple sentences. In this study, a novel framework based on is proposed to address such problems, in which a new hybrid embedding training method combining text features is used. Furthermore, extra attention and output layers which generate auxiliary losses are introduced to jointly train the stacked recurrent . To deal with imbalance of the dataset, irrelevancy of question and passage is used for . Experimental results show that the proposed method achieves state-of-the-art performance. We are the biweekly champion in the opinion question MRC task in Artificial Intelligence Challenger 2018 (AIC2018).
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Efficient normalization for quantitative evaluation of the driving behavior using a gated auto-encoder Research Articles

Xin HE, Zhe ZHANG, Li XU, Jiapei YU,xinhe_ee@zju.edu.cn,xupower@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 3,   Pages 452-462 doi: 10.1631/FITEE.2000667

Abstract: employed to conduct the driving cycle test, the approach we propose directly normalizes the using an auto-encodera positive correlation between the vehicle speed and , a gate constraint is imposed in between the encoder

Keywords： Driving behavior     Normalization     Gated auto-encoder     Quantitative evaluation    

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A virtual reality system for arm and hand rehabilitation

Zhiqiang LUO, Chee Kian LIM, I-Ming CHEN, Song Huat YEO

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 1,   Pages 23-32 doi: 10.1007/s11465-011-0202-6

Abstract:

This paper presents a virtual reality (VR) system for upper limb rehabilitation. The system incorporates two motion track components, the Arm Suit and the Smart Glove which are composed of a range of the optical linear encoders (OLE) and the inertial measurement units (IMU), and two interactive practice applications designed for driving users to perform the required functional and non-functional motor recovery tasks. We describe the technique details about the two motion track components and the rational to design two practice applications. The experiment results show that, compared with the marker-based tracking system, the Arm Suit can accurately track the elbow and wrist positions. The repeatability of the Smart Glove on measuring the five fingers’ movement can be satisfied. Given the low cost, high accuracy and easy installation, the system thus promises to be a valuable complement to conventional therapeutic programs offered in rehabilitation clinics and at home.

Keywords： motion tracking     rehabilitation     optical linear encoder (OLE)     virtual reality    

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Attention-based encoder-decoder model for answer selection in question answering Article

Yuan-ping NIE, Yi HAN, Jiu-ming HUANG, Bo JIAO, Ai-ping LI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 4,   Pages 535-544 doi: 10.1631/FITEE.1601232

Abstract: The proposed model employs a bidirectional long short-term memory (LSTM) encoder-decoder, which has been

Keywords： Question answering     Answer selection     Attention     Deep learning    

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Attention-based efficient robot grasp detection network Research Article

Xiaofei QIN, Wenkai HU, Chen XIAO, Changxiang HE, Songwen PEI, Xuedian ZHANG,xiaofei.qin@usst.edu.cn,obmmd_zxd@163.com

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 10,   Pages 1430-1444 doi: 10.1631/FITEE.2200502

Abstract: Three spatial attention modules are introduced in the encoder stages to enhance the detailed informationSeveral lightweight and efficient DenseBlocks are used to connect the encoder and paths to improve the

Keywords： Robot grasp detection     Attention mechanism     Encoder–     decoder     Neural network    

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Displacement measuring grating interferometer: a review Special Feature on Precision Measurement and Inst

Peng-cheng HU, Di CHANG, Jiu-bin TAN, Rui-tao YANG, Hong-xing YANG, Hai-jin FU

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 5,   Pages 631-654 doi: 10.1631/FITEE.1800708

Abstract:

A grating interferometer, called the “optical encoder,” is a commonly used tool for precise displacement

Keywords： Grating interferometer     Optical encoder     Displacement measurement     Precision measurement    

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Title Author Date Type Operation

Hybrid embedding and joint training of stacked encoder for opinion question machine reading comprehension

Xiang-zhou Huang, Si-liang Tang, Yin Zhang, Bao-gang Wei,huangxiangzhou@zju.edu.cn,siliang@zju.edu.cn,yinzh@zju.edu.cn

Journal Article

Efficient normalization for quantitative evaluation of the driving behavior using a gated auto-encoder

Xin HE, Zhe ZHANG, Li XU, Jiapei YU,xinhe_ee@zju.edu.cn,xupower@zju.edu.cn

Journal Article

A virtual reality system for arm and hand rehabilitation

Zhiqiang LUO, Chee Kian LIM, I-Ming CHEN, Song Huat YEO

Journal Article

Attention-based encoder-decoder model for answer selection in question answering

Yuan-ping NIE, Yi HAN, Jiu-ming HUANG, Bo JIAO, Ai-ping LI

Journal Article

Attention-based efficient robot grasp detection network

Xiaofei QIN, Wenkai HU, Chen XIAO, Changxiang HE, Songwen PEI, Xuedian ZHANG,xiaofei.qin@usst.edu.cn,obmmd_zxd@163.com

Journal Article

Displacement measuring grating interferometer: a review

Peng-cheng HU, Di CHANG, Jiu-bin TAN, Rui-tao YANG, Hong-xing YANG, Hai-jin FU

Journal Article