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Author details

Wei Han

Publications

6

Citations

1,813

Publications by Year

20152018

Co-Authors:

Abhinav AgarwallaEirikur AgustssonWoong BaeGiang BuiLei Cao

Show All Co-Authors (83)

Wei Han

Affiliation

University of Illinois at Urbana-Champaign

Publication Topics

Convolutional Layers,
Low-resolution Images,
Single Image Super-resolution,
Super-resolution,
Bicubic Interpolation,
Deep Network,
Deep Neural Network,
High-resolution Images,
Neural Network,
Peak Signal-to-noise Ratio,
Residual Block,
Skip Connections

Biography

Wei Han received the B.Eng. and M.S. degrees from the Department of Computer Science, Shanghai Jiao Tong University, China, in 2009 and 2012, respectively. He is currently pursuing the Ph.D. degree with the Department of Electrical and Computer Engineering, University of Illinois at Urbana–Champaign. His research interests include computer vision with a focus on image object detection and recognition, and video event detection.(Based on document published on 6 May 2016).

Publications

6

Citations

1,813

Publications by Year

20152018

Co-Authors:

Abhinav Agarwalla
Eirikur Agustsson
Woong Bae
Giang Bui
Lei Cao

Show All Co-Authors (83)

Author's Published Works

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Showing 1-25 of 26 results

Conferences (23)

Journals (3)

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Osman Abul(20)
O. Abul(6)
F. Polat(5)
Francesco Bonchi(5)
R. Alhajj(4)
Department of Computer Engineering, TOBB University of Economics and Technology, Ankara, Turkey(9)
Department of Computer Engineering, Middle East Technical University, Ankara, Turkey(5)
TOBB University, Ankara, Turkey(3)
ISTI-CNR, Pisa, Italy(2)
Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway(2)
2009 24th International Symposium on Computer and Information Sciences(2)
2012 IEEE 13th International Conference on Mobile Data Management(2)
2007 IEEE 23rd International Conference on Data Engineering Workshop(1)
2007 IEEE 7th International Symposium on BioInformatics and BioEngineering(1)
2007 International Conference on Mobile Data Management(1)
IEEE(26)
Bengaluru, India(2)
Boston, MA, USA(2)
Guzelyurt, Northern Cyprus(2)
Istanbul, Turkey(2)
Ankara, Turkey(1)
Association Rules(5)
Data Mining(5)
Frequent Itemsets(5)
Hygiene(5)
Distortion Measure(4)

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Stance Detection of Turkish Twitter Accounts

Mehmet Deniz Türkmen;Dilara Doğan;Osman Abul;Mucahid Kutlu

2023 31st Signal Processing and Communications Applications Conference (SIU)

Year: 2023 | Conference Paper |

Twitter offers users an environment where they can express their opinions on any subject. As a result, user activities have become an important resource for various sociological studies. In this study, we proposed machine learning methods that utilize text-based and interaction-based features to predict the opinions of users who post messages in Turkish. We also performed zero-shot classification ...Show More

Stance Detection of Turkish Twitter Accounts

Mehmet Deniz Türkmen;Dilara Doğan;Osman Abul;Mucahid Kutlu

2023 31st Signal Processing and Communications Applications Conference (SIU)

Year: 2023 | Conference Paper |

Geospatial Radar Deployment Optimization

Osman Abul;Furkan Şavşatlı

2021 6th International Conference on Computer Science and Engineering (UBMK)

Year: 2021 | Conference Paper |

With the advancement of technology, many services have been developed that cover certain regions and provide benefits on various issues. Examples of these are internet providers, mobile hospitals, weather balloons and radars used by the army or navy. As the geography grows and the number of specified systems increases, it is expected that these will act as a whole and be optimally distributed. In ...Show More

Geospatial Radar Deployment Optimization

Osman Abul;Furkan Şavşatlı

2021 6th International Conference on Computer Science and Engineering (UBMK)

Year: 2021 | Conference Paper |

Distinguishing True and False Buy/Sell Triggers from Financial Technical Indicators

Zeynep Tüfekci;Osman Abul

2020 Innovations in Intelligent Systems and Applications Conference (ASYU)

Year: 2020 | Conference Paper |

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The objective of this study is to develop a method to distinguish True and False Buy/Sell recommendations. Various recommendation schemes, like 30/70 RSI (Relative Strength Index) scheme, are effectively used by many traders. However, the triggers produced by such recommendation schemes are found suspicious most of the time, and hence are non-actionable. In this study we develop a dynamic programm...Show More

Distinguishing True and False Buy/Sell Triggers from Financial Technical Indicators

Zeynep Tüfekci;Osman Abul

2020 Innovations in Intelligent Systems and Applications Conference (ASYU)

Year: 2020 | Conference Paper |

Inferring Political Alignments of Twitter Users

Kutlu Emre Yilmaz;Osman Abul

2018 International Symposium on Networks, Computers and Communications (ISNCC)

Year: 2018 | Conference Paper |

Cited by: Papers (6)

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Increasing popularity of Twitter in politics is subject to commercial and academic interest. To fully exploit the merits of this platform, reaching target audience with desired political leanings is critical. This paper extends the research on inferring political orientations of Twitter users to the case of 2017 Turkish constitutional referendum. After constructing a targeted dataset of tweets, we...Show More

Inferring Political Alignments of Twitter Users

Kutlu Emre Yilmaz;Osman Abul

2018 International Symposium on Networks, Computers and Communications (ISNCC)

Year: 2018 | Conference Paper |

A top-down k-anonymization implementation for apache spark

Ugur Sopaoglu;Osman Abul

2017 IEEE International Conference on Big Data (Big Data)

Year: 2017 | Conference Paper |

Cited by: Papers (14)

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Data science continues to evolve with each passing day and upgrades itself according to the exponentially increasing amount of data. The progression provides convenience to extract meaningful information from the huge amount of data from various domains including individual, public health, micro-blogging and sensors. The ability to process huge volume of data and to extract valuable information so...Show More

A top-down k-anonymization implementation for apache spark

Ugur Sopaoglu;Osman Abul

2017 IEEE International Conference on Big Data (Big Data)

Year: 2017 | Conference Paper |

End-to-end internet speed analysis of mobile networks with mapReduce

Mete Uzun;Osman Abul

2016 International Symposium on Networks, Computers and Communications (ISNCC)

Year: 2016 | Conference Paper |

Cited by: Papers (2)

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Packet-based mobile networks are increasingly carrying internet traffic mostly for data intensive-applications. Mobile internet usage, with 67% share worldwide, is very important for mobile users. Because of the explosive growth of mobile data usage demand, data speed analysis is a very essential way to characterize network quality and user experience for service providers. Key Performance Indicat...Show More

End-to-end internet speed analysis of mobile networks with mapReduce

Mete Uzun;Osman Abul

2016 International Symposium on Networks, Computers and Communications (ISNCC)

Year: 2016 | Conference Paper |

REFBSS: Reference based similarity search in biological network databases

Arda Soylev;Osman Abul

2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

Year: 2015 | Conference Paper |

Cited by: Papers (1)

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Biological networks, mostly abstracted as graphs, are key to many important activities inside the cell. Similarity-based analysis is one of the techniques for understanding the role of a query network. In that context, a database consisting of biological networks is aligned with a query network and the networks having a similarity score higher and lower than a predefined cutoff value are separated...Show More

REFBSS: Reference based similarity search in biological network databases

Arda Soylev;Osman Abul

2015 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

Year: 2015 | Conference Paper |

Privacy-Preserving Sharing of Sensitive Semantic Locations under Road-Network Constraints

Emre Yigitoglu;Maria Luisa Damiani;Osman Abul;Claudio Silvestri

2012 IEEE 13th International Conference on Mobile Data Management

Year: 2012 | Conference Paper |

Cited by: Papers (35)

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This paper presents a privacy-preserving framework for the protection of sensitive positions in real time trajectories. We assume a scenario in which the sensitivity of user's positions is space-varying, and so depends on the spatial context, while the user's movement is confined to road networks and places. Typical users are the non-anonymous members of a geo-social network who agree to share the...Show More

Privacy-Preserving Sharing of Sensitive Semantic Locations under Road-Network Constraints

Emre Yigitoglu;Maria Luisa Damiani;Osman Abul;Claudio Silvestri

2012 IEEE 13th International Conference on Mobile Data Management

Year: 2012 | Conference Paper |

SAWLnet: Sensitivity Aware Location Cloaking on Road-NETworks

Claudio Silvestri;Emre Yigitoglu;Maria Luisa Damiani;Osman Abul

2012 IEEE 13th International Conference on Mobile Data Management

Year: 2012 | Conference Paper |

Cited by: Papers (3)

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Location based queries are increasingly common in mobile applications, and the associated privacy issues have become a hot research topic in the last years. Most of the current approaches, however, do not account for the location of potentially sensitive places and for constraints on the movement of users, such as speed limits or network contraints. In this demo we present different deployment sce...Show More

SAWLnet: Sensitivity Aware Location Cloaking on Road-NETworks

Claudio Silvestri;Emre Yigitoglu;Maria Luisa Damiani;Osman Abul

2012 IEEE 13th International Conference on Mobile Data Management

Year: 2012 | Conference Paper |

Turkish archive digitization by human computation approach

İbrahim Gümüş;Osman Abul

2012 International Symposium on Innovations in Intelligent Systems and Applications

Year: 2012 | Conference Paper |

Cited by: Papers (3)

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Human computation is a promising approach at solving computation tasks for which humans currently perform better than computers. Archive digitization is such a task. In this paper, we present our reCAPTCHA like archive digitization system, called trCAPTCHA, mainly targeting old Turkish archives and hence Turkish speaking audience. trCAPTCHA differs from reCAPTCHA that it uses no global dictionary ...Show More

Turkish archive digitization by human computation approach

İbrahim Gümüş;Osman Abul

2012 International Symposium on Innovations in Intelligent Systems and Applications

Year: 2012 | Conference Paper |

Long Range Correlations between nucleotide triplets

D. Vitale;E.E. Kuruoglu;O. Abul

Proceedings of the 6th International Symposium on Health Informatics and Bioinformatics

Year: 2011 | Conference Paper |

The study of statistical fluctuations in DNA sequences can reveal important characteristics of their organization. Particularly, in the last two decades, several studies have focused on the detection of Long Range Correlations (LRC) in DNA sequences, and on the study of particular long range dependence properties of nucleotides. Since protein coding is carried out by codons (nucleotide triplets), ...Show More

Long Range Correlations between nucleotide triplets

D. Vitale;E.E. Kuruoglu;O. Abul

Proceedings of the 6th International Symposium on Health Informatics and Bioinformatics

Year: 2011 | Conference Paper |

Sensitive knowledge hiding application

Harun Gökçe;Osman Abul

National Conference on Electrical, Electronics and Computer Engineering

Year: 2010 | Conference Paper |

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Diverse organizations store their business related data in their own databases. Some of them publish their data as is to third parties for research purposes. However, this way of data sharing has the risk of disclosing sensitive knowledge which the database may entail. For safe publishing the database must be sanitized before sharing; so that no sensitive knowledge is conveyed. The process is know...Show More

Sensitive knowledge hiding application

Harun Gökçe;Osman Abul

National Conference on Electrical, Electronics and Computer Engineering

Year: 2010 | Conference Paper |

Hiding Sequential and Spatiotemporal Patterns

Osman Abul;Francesco Bonchi;Fosca Giannotti

IEEE Transactions on Knowledge and Data Engineering

Year: 2010 | Volume: 22, Issue: 12 | Journal Article |

Cited by: Papers (22)

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The process of discovering relevant patterns holding in a database was first indicated as a threat to database security by O'Leary in. Since then, many different approaches for knowledge hiding have emerged over the years, mainly in the context of association rules and frequent item sets mining. Following many real-world data and application demands, in this paper, we shift the problem of knowledg...Show More

Hiding Sequential and Spatiotemporal Patterns

Osman Abul;Francesco Bonchi;Fosca Giannotti

IEEE Transactions on Knowledge and Data Engineering

Year: 2010 | Volume: 22, Issue: 12 | Journal Article |

MotifHider: A knowledge hiding approach to sequence masking

2009 24th International Symposium on Computer and Information Sciences

Year: 2009 | Conference Paper |

Cited by: Papers (1)

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In a typical de novo motif discovery process, it is quite common that many of the motif candidates output from motif discovery programs are either already known motifs or motif-like decoy/repeat patterns. To prevent the false discovery and also to increase the chance of authentic novel motif discovery, some motif discovery programs employ a pre-processing stage in order to mask certain repeat posi...Show More

MotifHider: A knowledge hiding approach to sequence masking

2009 24th International Symposium on Computer and Information Sciences

Year: 2009 | Conference Paper |

Frequent itemsets hiding: A performance evaluation framework

Osman Abul;Harun Gokce;Yagmur Sengez

2009 24th International Symposium on Computer and Information Sciences

Year: 2009 | Conference Paper |

Cited by: Papers (1)

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Sensitive knowledge hiding is an essential requirement to prevent disclosure of any sensitive knowledge holding in shared databases. The security of a database may be risked when it is made public as is: because the data mining tools are so sophisticated that the sensitive knowledge can easily be surfaced by receivers. This gives rise to a sanitization process which transforms the original databas...Show More

Frequent itemsets hiding: A performance evaluation framework

Osman Abul;Harun Gokce;Yagmur Sengez

2009 24th International Symposium on Computer and Information Sciences

Year: 2009 | Conference Paper |

Never Walk Alone: Uncertainty for Anonymity in Moving Objects Databases

Osman Abul;Francesco Bonchi;Mirco Nanni

2008 IEEE 24th International Conference on Data Engineering

Year: 2008 | Conference Paper |

Cited by: Papers (302) | Patents (5)

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Preserving individual privacy when publishing data is a problem that is receiving increasing attention. According to the fc-anonymity principle, each release of data must be such that each individual is indistinguishable from at least k - 1 other individuals. In this paper we study the problem of anonymity preserving data publishing in moving objects databases. We propose a novel concept of k-anon...Show More

Never Walk Alone: Uncertainty for Anonymity in Moving Objects Databases

Osman Abul;Francesco Bonchi;Mirco Nanni

2008 IEEE 24th International Conference on Data Engineering

Year: 2008 | Conference Paper |

Hiding Sensitive Trajectory Patterns

Osman Abul;Maurizio Atzori;Francesco Bonchi;Fosca Giannotti

Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007)

Year: 2007 | Conference Paper |

Cited by: Papers (10)

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Spatio-temporal traces left behind by moving individuals are increasingly available. On the one hand, mining this kind of data is expected to produce interesting behavioral knowledge enabling novel classes of mobility applications; but on the other hand, due to the peculiar nature of position data, mining it creates important privacy concerns. Thus, studying privacy preserving data mining methods ...Show More

Hiding Sensitive Trajectory Patterns

Osman Abul;Maurizio Atzori;Francesco Bonchi;Fosca Giannotti

Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007)

Year: 2007 | Conference Paper |

Privacy-Aware Knowledge Discovery from Location Data

Maurizio Atzori;Francesco Bonchi;Fosca Giannotti;Dino Pedreschi;Osman Abul

2007 International Conference on Mobile Data Management

Year: 2007 | Conference Paper |

Cited by: Papers (1)

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Spatio-temporal, geo-referenced datasets are growing rapidly, and will be more in the near future. This phenomenon is mostly due to the daily collection of telecommunication data from mobile phones and other location-aware devices and is expected to enable novel classes of applications based on the extraction of behavioral patterns from mobility data. Such patterns could be used for instance in tr...Show More

Privacy-Aware Knowledge Discovery from Location Data

Maurizio Atzori;Francesco Bonchi;Fosca Giannotti;Dino Pedreschi;Osman Abul

2007 International Conference on Mobile Data Management

Year: 2007 | Conference Paper |

Hiding Sequences

Osman Abul;Maurizio Atzori;Francesco Bonchi;Fosca Giannotti

2007 IEEE 23rd International Conference on Data Engineering Workshop

Year: 2007 | Conference Paper |

Cited by: Papers (21)

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The process of discovering relevant patterns holding in a database, was first indicated as a threat to database security by O' Leary in [20]. Since then, many different approaches for knowledge hiding have emerged over the years, mainly in the context of association rules and frequent itemsets mining. Following many real-world data and applications demands, in this paper we shift, the problem of k...Show More

Hiding Sequences

Osman Abul;Maurizio Atzori;Francesco Bonchi;Fosca Giannotti

2007 IEEE 23rd International Conference on Data Engineering Workshop

Year: 2007 | Conference Paper |

False Discovery Rates in Identifying Functional DNA Motifs

Osman Abul;Geir Kjetil Sandve;Finn Drablos

2007 IEEE 7th International Symposium on BioInformatics and BioEngineering

Year: 2007 | Conference Paper |

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There are several methods for scoring a set of upstream DNA sequences against a given motif. Typically, significance of raw scores are based on p-values, measured by statistical hypothesis testing. As an extension, multiple hypothesis testing is adopted in cases where there are multiple motifs to be evaluated in parallel. In this way significant motifs are identified for a given significance level...Show More

False Discovery Rates in Identifying Functional DNA Motifs

Osman Abul;Geir Kjetil Sandve;Finn Drablos

2007 IEEE 7th International Symposium on BioInformatics and BioEngineering

Year: 2007 | Conference Paper |

Optimal Multi-Objective Control Method for Discrete Genetic Regulatory Networks

Osman Abul;Reda Alhajj;Faruk Polat

Sixth IEEE Symposium on BioInformatics and BioEngineering (BIBE'06)

Year: 2006 | Conference Paper |

Cited by: Papers (2)

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In this paper, we study the control problem and note that it is multi-objective by nature, and thus we develop an optimal multi-objective approach. Our approach includes formalizing components and identifying dimensions, resulting in few cases for concrete problem formulation. For a selected case, namely the finite control case, a single-objective from the literature and our multi-objective soluti...Show More

Optimal Multi-Objective Control Method for Discrete Genetic Regulatory Networks

Osman Abul;Reda Alhajj;Faruk Polat

Sixth IEEE Symposium on BioInformatics and BioEngineering (BIBE'06)

Year: 2006 | Conference Paper |

A Powerful Approach for Effective Finding of Significantly Differentially Expressed Genes

O. Abul;R. Alhajj;F. Polat

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Year: 2006 | Volume: 3, Issue: 3 | Journal Article |

Cited by: Papers (1)

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The problem of identifying significantly differentially expressed genes for replicated microarray experiments is accepted as significant and has been tackled by several researchers. Patterns from gene expression (PaGE) and q-values are two of the well-known approaches developed to handle this problem. This paper proposes a powerful approach to handle this problem. We first propose a method for est...Show More

A Powerful Approach for Effective Finding of Significantly Differentially Expressed Genes

O. Abul;R. Alhajj;F. Polat

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Year: 2006 | Volume: 3, Issue: 3 | Journal Article |

Markov decision processes based optimal control policies for probabilistic boolean networks

O. Abul;R. Alhaj;F. Polat

Proceedings. Fourth IEEE Symposium on Bioinformatics and Bioengineering

Year: 2004 | Conference Paper |

Cited by: Papers (6)

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This paper addresses the control formulation process for probabilistic boolean genetic networks. It is a major problem that has not been investigated enough yet. We argue that a monitoring stage is necessary after the control stage for providing guidance about the evolution of the investigated state. For this purpose, we developed methods for generating optimal control policies for each of the fol...Show More

Markov decision processes based optimal control policies for probabilistic boolean networks

O. Abul;R. Alhaj;F. Polat

Proceedings. Fourth IEEE Symposium on Bioinformatics and Bioengineering

Year: 2004 | Conference Paper |

Cluster validity analysis using subsampling

O. Abul;A. Lo;R. Alhajj;F. Polat;K. Barker

SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483)

Year: 2003 | Conference Paper |

Cited by: Papers (6)

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Cluster validity investigates whether generated clusters are true clusters or due to chance. This is usually done based on subsampling stability analysis. Related to this problem is estimating true number of clusters in a given dataset. There are a number of methods described in the literature to handle both purposes. In this paper, we propose three methods for estimating confidence in the validit...Show More

Cluster validity analysis using subsampling

O. Abul;A. Lo;R. Alhajj;F. Polat;K. Barker

SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483)

Year: 2003 | Volume: 2 | Conference Paper |

Multiagent reinforcement learning using function approximation

O. Abul;F. Polat;R. Alhajj

IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)

Year: 2000 | Volume: 30, Issue: 4 | Journal Article |

Cited by: Papers (62)

Learning in a partially observable and nonstationary environment is still one of the challenging problems in the area of multiagent (MA) learning. Reinforcement learning is a generic method that suits the needs of MA learning in many aspects. This paper presents two new multiagent based domain independent coordination mechanisms for reinforcement learning; multiple agents do not require explicit c...Show More

Multiagent reinforcement learning using function approximation

O. Abul;F. Polat;R. Alhajj

IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)

Year: 2000 | Volume: 30, Issue: 4 | Journal Article |

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