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Crowdsourcing 3

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Flexible crowdsourcing design 1

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Mobile crowdsourcing 1

Named entity disambiguation 1

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Crowdsourcing intelligent design Article

Wei XIANG, Ling-yun SUN, Wei-tao YOU, Chang-yuan YANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1,   Pages 126-138 doi: 10.1631/FITEE.1700810

Abstract: Crowdsourcing offers a promising method to produce creative designs by combining human inspiration andWe propose a crowdsourcing intelligent design method called ‘flexible crowdsourcing design’.In contrast, the flexible crowdsourcing design method employs a cultivation procedure that integratesSpecifically, we will describe the typical procedure of flexible crowdsourcing design, the refined crowdsourcingFinally, it summarizes the design capabilities enabled by crowdsourcing intelligent design.

Keywords: Crowdsourcing     Flexible crowdsourcing design     Design intelligence    

Disambiguating named entitieswith deep supervised learning via crowd labels Article

Le-kui ZHOU,Si-liang TANG,Jun XIAO,Fei WU,Yue-ting ZHUANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1,   Pages 97-106 doi: 10.1631/FITEE.1601835

Abstract: Named entity disambiguation (NED) is the task of linking mentions of ambiguous entities to their referenced entities in a knowledge base such as Wikipedia. We propose an approach to effectively disentangle the discriminative features in the manner of collaborative utilization of collective wisdom (via human-labeled crowd labels) and deep learning (via human-generated data) for the NED task. In particular, we devise a crowd model to elicit the underlying features (crowd features) from crowd labels that indicate a matching candidate for each mention, and then use the crowd features to fine-tune a dynamic convolutional neural network (DCNN). The learned DCNN is employed to obtain deep crowd features to enhance traditional hand-crafted features for the NED task. The proposed method substantially benefits from the utilization of crowd knowledge (via crowd labels) into a generic deep learning for the NED task. Experimental analysis demonstrates that the proposed approach is superior to the traditional hand-crafted features when enough crowd labels are gathered.

Keywords: Named entity disambiguation     Crowdsourcing     Deep learning    

Friendship-aware task planning in mobile crowdsourcing Article

Yuan LIANG,Wei-feng LV,Wen-jun WU,Ke XU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1,   Pages 107-121 doi: 10.1631/FITEE.1601860

Abstract: Recently, crowdsourcing platforms have attracted a number of citizens to perform a variety of locationspecific

Keywords: Mobile crowdsourcing     Task planning     Greedy algorithms     Simulated annealing    

Progress and Consideration of High Precision Road Navigation Map

Liu Jingnan,Wu Hangbin,Guo Chi,Zhang Hongmin,Zuo Wenwei,Yang Cheng

Strategic Study of CAE 2018, Volume 20, Issue 2,   Pages 99-105 doi: 10.15302/J-SSCAE-2018.02.015

Abstract: Therefore, in this paper, we propose a big data processing model involving "crowdsourcing + edge

Keywords: high precision road navigation map     “Internet Plus” intelligent transportation     unmanned systems     crowdsourcing    

Crowd intelligence in AI 2.0 era Review

Wei LI,Wen-jun WU,Huai-min WANG,Xue-qi CHENG,Hua-jun CHEN,Zhi-hua ZHOU,Rong DING

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1,   Pages 15-43 doi: 10.1631/FITEE.1601859

Abstract: ., crowdsourcing and human computation.

Keywords: Crowd intelligence     Artificial intelligence 2.0     Crowdsourcing     Human computation    

Title Author Date Type Operation

Crowdsourcing intelligent design

Wei XIANG, Ling-yun SUN, Wei-tao YOU, Chang-yuan YANG

Journal Article

Disambiguating named entitieswith deep supervised learning via crowd labels

Le-kui ZHOU,Si-liang TANG,Jun XIAO,Fei WU,Yue-ting ZHUANG

Journal Article

Friendship-aware task planning in mobile crowdsourcing

Yuan LIANG,Wei-feng LV,Wen-jun WU,Ke XU

Journal Article

Progress and Consideration of High Precision Road Navigation Map

Liu Jingnan,Wu Hangbin,Guo Chi,Zhang Hongmin,Zuo Wenwei,Yang Cheng

Journal Article

Crowd intelligence in AI 2.0 era

Wei LI,Wen-jun WU,Huai-min WANG,Xue-qi CHENG,Hua-jun CHEN,Zhi-hua ZHOU,Rong DING

Journal Article