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 Peng Dai

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Average citations per article2.68
Citation Count107
Publication count40
Publication years2006-2018
Available for download7
Average downloads per article292.86
Downloads (cumulative)2,050
Downloads (12 Months)504
Downloads (6 Weeks)50
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40 results found Export Results: bibtexendnoteacmrefcsv

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1
February 2018 Future Generation Computer Systems: Volume 79 Issue P1, February 2018
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 0

Rail inspection is one of the most important tasks to guarantee the safety of a railway transportation system, and it requires advanced information technologies (e.g. cyberphysical system and cyberphysicalsocial system) to build intelligent inspection systems. This paper presents a cyber-enabled visual inspection system for rail corrugation, which includes an on-board ...
Keywords: Corrugation, Cyberphysical System, Cyberphysicalsocial system, Support vector machine, Local frequency feature, Rail inspection

2 published by ACM
April 2016 ACM Transactions on Intelligent Systems and Technology (TIST) - Special Issue on Crowd in Intelligent Systems, Research Note/Short Paper and Regular Papers: Volume 7 Issue 4, July 2016
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 7,   Downloads (12 Months): 88,   Downloads (Overall): 176

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Parsing the semantic structure of a web page is a key component of web information extraction. Successful extraction algorithms usually require large-scale training and evaluation datasets, which are difficult to acquire. Recently, crowdsourcing has proven to be an effective method of collecting large-scale training data in domains that do not ...
Keywords: Crowdsourcing, behavioral features, worker performance, quality control

3 published by ACM
March 2016 IUI '16: Proceedings of the 21st International Conference on Intelligent User Interfaces
Publisher: ACM
Bibliometrics:
Citation Count: 4
Downloads (6 Weeks): 15,   Downloads (12 Months): 159,   Downloads (Overall): 346

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A relatively new feature in Google Play Store presents mobile app search results grouped by topic, helping users to quickly navigate and explore. The underlying Search Results Clustering (SRC) system faces several challenges, including grouping search results in topical coherent clusters as well as finding the appropriate level of granularity ...
Keywords: clustering, search result clustering, interactive machine learning

4
February 2016 AAAI'16: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 0

Alzheimer's disease (AD) is a chronic neurodegenerative disease, which involves the degeneration of various brain functions, resulting in memory loss, cognitive disorder and death. Large amounts of multivariate heterogeneous medical test data are available for the analysis of brain deterioration. How to measure the deterioration remains a challenging problem. In ...

5
October 2015 Signal Processing: Volume 115 Issue C, October 2015
Publisher: Elsevier North-Holland, Inc.
Bibliometrics:
Citation Count: 0

Noise robustness has long been one of the most important goals in speech recognition. While the performance of automatic speech recognition (ASR) deteriorates in noisy situations, the human auditory system is relatively adept at handling noise. To mimic this adeptness, we study and apply psychoacoustic models in speech recognition as ...
Keywords: Temporal masking, Automatic speech recognition, Simultaneous masking, AURORA2, Auditory modeling

6
July 2015 Speech Communication: Volume 71 Issue C, July 2015
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 1

Three objective measures are proposed to separately evaluate the speech distortion, noise reduction and overall quality of the processed speech signal enhanced by single channel speech enhancement algorithms.The proposed measures are derived in both time and frequency domains.The high correlations between the measurement results of the proposed approaches and subjective ...
Keywords: Objective measure, Evaluation, Speech quality assessment, Single channel speech enhancement

7 published by ACM
May 2015 WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 15,   Downloads (12 Months): 65,   Downloads (Overall): 184

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Online search and item recommendation systems are often based on being able to correctly label items with topical keywords. Typically, topical labelers analyze the main text associated with the item, but social media posts are often multimedia in nature and contain contents beyond the main text. Topic labeling for social ...
Keywords: crowdsourcing, topic annotator

8
March 2015 Knowledge-Based Systems: Volume 77 Issue C, March 2015
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 4

Linear algebraic modeling of human behavior with mobile devices.Improving behavior prediction by transferring knowledge from different users.A hybrid similarity measure based on PCA and longest/daily common behavior. The proliferation of smart phones has opened up new kinds of data to model human behavior and predict future activity but this prediction ...
Keywords: Mobile data, Transfer learning, Behavior similarity, Common behavior analysis, Principal component analysis, Sequential prediction

9 published by ACM
February 2015 CSCW '15: Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing
Publisher: ACM
Bibliometrics:
Citation Count: 16
Downloads (6 Weeks): 14,   Downloads (12 Months): 173,   Downloads (Overall): 715

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Crowdsourcing has become a popular and indispensable component of many problem-solving pipelines in the research literature, with crowd workers often treated as computational resources that can reliably solve problems that computers have trouble with, such as image labeling/classification, natural language processing, or document writing. Yet, obviously crowd workers are human, ...
Keywords: user experience, crowdsourcing, human computation

10
September 2014 The Visual Computer: International Journal of Computer Graphics: Volume 30 Issue 9, September 2014
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 0

A patrol type of surveillance has been performed everywhere from police city patrol to railway inspection. Different from static cameras or sensors distributed in a space, such surveillance has its benefits of low cost, long distance, and efficiency in detecting infrequent changes. However, the challenges are how to archive daily ...
Keywords: Forward motion video, Video visualization, Railway safety, Route panorama

11
July 2014 MDM '14: Proceedings of the 2014 IEEE 15th International Conference on Mobile Data Management - Volume 01
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 1

In this paper, we propose a general smartphone user activity prediction framework utilizing the general concept of partial repetitive behavior (instead of the stronger periodicity condition) for similarity scoring and the landmark behaviors (representative behaviors to identify groups of similar behavior vectors). Prediction of the next-day(s) behavior is based on ...
Keywords: Sequential Prediction, Eigenbehavior, Principal Component Analysis, Mobilility Data, Landmark patterns, partial repetitive patterns, predictability

12
October 2013 CW '13: Proceedings of the 2013 International Conference on Cyberworlds
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

The high demand from railway safety has promoted the sensing technology to avoid manual inspection that is error-prone, low efficiency, labor-intensive and high costs. However, few works have emphasized railway environmental monitoring so far which is equally important in railway safety maintenance. In this paper, we propose a railway scene ...
Keywords: route panoram, image based rendering, virtual space, forward motion video, railway safety

13
September 2013 Artificial Intelligence: Volume 202 Issue 1, September 2013
Publisher: Elsevier Science Publishers Ltd.
Bibliometrics:
Citation Count: 5

Crowdsourcing, outsourcing of tasks to a crowd of unknown people ("workers") in an open call, is rapidly rising in popularity. It is already being heavily used by numerous employers ("requesters") for solving a wide variety of tasks, such as audio transcription, content screening, and labeling training data for machine learning. ...
Keywords: crowdsourcing, partially-observable markov decision process, planning under uncertainty, pomdp

14
April 2013 SBP'13: Proceedings of the 6th international conference on Social Computing, Behavioral-Cultural Modeling and Prediction
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 1

We investigate behavioral prediction approaches based on subspace methods such as principal component analysis (PCA) and independent component analysis (ICA). Moreover, we propose a personalized sequential prediction approach to predict next day behavior based on features extracted from past behavioral data using subspace methods. The proposed approach is applied to ...
Keywords: eigenbehavior, principal component analysis, sequential prediction, behavior prediction, independent component analysis

15
March 2013 Speech Communication: Volume 55 Issue 3, March, 2013
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 0

Performance of an automatic speech recognition system drops dramatically in the presence of background noise unlike the human auditory system which is more adept at noisy speech recognition. This paper proposes a novel auditory modeling algorithm which is integrated into the feature extraction front-end for Hidden Markov Model (HMM). The ...
Keywords: Automatic speech recognition, Simultaneous masking, AURORA2, Auditory modeling, Temporal masking

16
June 2012 ICAPS'12: Proceedings of the Twenty-Second International Conference on International Conference on Automated Planning and Scheduling
Publisher: AAAI Press
Bibliometrics:
Citation Count: 2

In contrast to previous competitions, where the problems were goal-based, the 2011 International Probabilistic Planning Competition (IPPC-2011) emphasized finite-horizon reward maximization problems with large branching factors. These MDPs modeled more realistic planning scenarios and presented challenges to the previous state-of-the-art planners (e.g., those from IPPC-2008), which were primarily based on ...

17
March 2012 Speech Communication: Volume 54 Issue 3, March, 2012
Publisher: Elsevier Science Publishers B. V.
Bibliometrics:
Citation Count: 2

In this paper, a novel hybrid feature extraction algorithm is proposed, which implements forward masking, lateral inhibition, and temporal integration with a simple 2D psychoacoustic filter. The proposed algorithm consists of two key parts, the 2D psychoacoustic filter and cepstral mean variance normalization (CMVN). Mathematical derivation is provided to show ...
Keywords: Temporal frequency warping, Temporal integration, Temporal masking, 2D mask, Automatic speech recognition, Simultaneous masking

18 published by ACM
October 2011 UIST '11 Adjunct: Proceedings of the 24th annual ACM symposium adjunct on User interface software and technology
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 1,   Downloads (12 Months): 10,   Downloads (Overall): 191

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Crowdsourcing marketplaces enable a wide range of applications, but constructing any new application is challenging - usually requiring a complex, self-managing workflow in order to guarantee quality results. We report on the CLOWDER project, which uses machine learning to continually refine models of worker performance and task difficulty. We present ...
Keywords: crowdsourcing, execution control, human computation, decision theory, pomdp

19
September 2011 Journal of Artificial Intelligence Research: Volume 42 Issue 1, September 2011
Publisher: AI Access Foundation
Bibliometrics:
Citation Count: 5

Value iteration is a powerful yet inefficient algorithm for Markov decision processes (MDPs) because it puts the majority of its effort into backing up the entire state space, which turns out to be unnecessary in many cases. In order to overcome this problem, many approaches have been proposed. Among them, ...

20
August 2011 AAAI'11: Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence
Publisher: AAAI Press
Bibliometrics:
Citation Count: 3

Crowdsourcing platforms such as Amazon Mechanical Turk have become popular for a wide variety of human intelligence tasks; however, quality control continues to be a significant challenge. Recently, we propose TURKONTROL, a theoretical model based on POMDPs to optimize iterative, crowd-sourced workflows. However, they neither describe how to learn the ...



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