Qin Wang

ORCID: 0000-0003-2264-749X
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About
Contact & Profiles
Research Areas
  • Blockchain Technology Applications and Security
  • Cryptography and Data Security
  • Security and Verification in Computing
  • Privacy-Preserving Technologies in Data
  • Caching and Content Delivery
  • Cloud Data Security Solutions
  • Advanced Malware Detection Techniques
  • Cloud Computing and Resource Management
  • IoT and Edge/Fog Computing
  • Advanced Decision-Making Techniques
  • Distributed systems and fault tolerance
  • Peer-to-Peer Network Technologies
  • Energy, Environment, Economic Growth
  • Cryptographic Implementations and Security
  • Advanced Computational Techniques and Applications
  • Financial Markets and Investment Strategies
  • Energy Efficient Wireless Sensor Networks
  • Higher Education and Teaching Methods
  • Network Security and Intrusion Detection
  • Data Mining Algorithms and Applications
  • Internet Traffic Analysis and Secure E-voting
  • Auction Theory and Applications
  • Geometric and Algebraic Topology
  • Software System Performance and Reliability
  • Educational Technology and Pedagogy

Data61
2021-2025

Commonwealth Scientific and Industrial Research Organisation
2021-2025

UNSW Sydney
2024

Shanghai Jiao Tong University
2005-2024

Guangxi Transportation Research Institute
2024

Sichuan International Studies University
2022-2023

Chengdu University of Technology
2023

Australian Regenerative Medicine Institute
2023

Monash University
2023

ETH Zurich
2018-2023

ABSTRACT The OpenWSN project is an open‐source implementation of a fully standards‐based protocol stack for capillary networks, rooted in the new IEEE802.15.4e Time Synchronized Channel Hopping standard. IEEE802.15.4e, coupled with Internet Things standards, such as 6LoWPAN, RPL and CoAP, enables ultra‐low‐power highly reliable mesh which are integrated into Internet. resulting will be cornerstone to upcoming machine‐to‐machine revolution. This article gives overview stack, well key...

10.1002/ett.2558 article EN Transactions on Emerging Telecommunications Technologies 2012-08-01

10.1038/s41379-019-0302-0 article EN publisher-specific-oa Modern Pathology 2019-06-25

Web3 is the most hyped concept from 2020 to date, greatly motivating prosperity of Internet Value and Metaverse. However, no solid evidence stipulates exact definition, criterion, or standard in sense such a buzzword. To fill gap, we aim clarify term this work. We narrow down connotation by separating it high-level controversy argues and, instead, focusing on its protocol, architecture, evaluation perspective blockchain fields. Specifically, have identified all potential architectural design...

10.48550/arxiv.2206.08821 preprint EN cc-by arXiv (Cornell University) 2022-01-01
Peter Rambau Robert A. Vierkant Maria P. Intermaggio Linda E. Kelemen Marc T. Goodman and 91 more Esther Herpel Paul D.P. Pharoah Stefan Kommoss Mercedes Jimenez‐Liñan Beth Y. Karlan Aleksandra Gentry‐Maharaj Usha Menon Susanna Hernando Polo Francisco José Cândido dos Reis Jennifer A. Doherty Simon A. Gayther Raghwa Sharma Melissa C. Larson Paul R. Harnett Emma Hatfield Jurandyr Moreira de Andrade Gregg Nelson Helen Steed Joellen M. Schildkraut Micheal E Carney Estrid Høgdall Alice S. Whittemore Martin Widschwendter Catherine J. Kennedy Frances Wang Qin Wang Chen Wang Sebastian M. Armasu Frances Daley Penny Coulson Michael E. Jones Michael S. Anglesio Christine Chow Anna de Fazio Montserrat García‐Closas Sara Y. Brucker Cezary Cybulski Holly R. Harris Andreas D. Hartkopf Tomasz Huzarski Allan Jensen Jan Lubiński Oleg Oszurek Javier Benı́tez Fady Mina Annette Staebler Florin‐Andrei Taran J Pasternak Aline Talhouk Mary Anne Rossing Joy Hendley Robert P. Edwards Sián Fereday Francesmary Modugno Roberta B. Ness Weiva Sieh Mona El‐Bahrawy Stacey J. Winham Jenny Lester Susanne K. Kjær Jacek Gronwald Hans‐Peter Sinn Peter A. Fasching Jenny Chang‐Claude Kirsten B. Moysich David D.L. Bowtell Brenda Y. Hernandez Hugh Luk Sabine Behrens Mitul Shah Audrey Jung Prafull Ghatage Jennifer Alsop Kathryn Alsop Jesús García-Donás Pamela J. Thompson Anthony J. Swerdlow Chloe Karpinskyj Alicia Cazorla María J. García Susha Deen Lynne R. Wilkens J.M. Palacios Andrew Berchuck Jennifer M. Koziak James D. Brenton Linda S. Cook Ellen L. Goode David G. Huntsman Susan J. Ramus Martin Köbel

Abstract We aimed to validate the prognostic association of p16 expression in ovarian high‐grade serous carcinomas (HGSC) and explore it other carcinoma histotypes. protein was assessed by clinical‐grade immunohistochemistry 6525 including 4334 HGSC using tissue microarrays from 24 studies participating Ovarian Tumor Tissue Analysis consortium. patterns were interpreted as abnormal (either overexpression referred block or absence) normal (heterogeneous). CDKN2A (which encodes p16) mRNA also...

10.1002/cjp2.109 article EN cc-by The Journal of Pathology Clinical Research 2018-07-31

10.1016/j.future.2017.08.026 article EN Future Generation Computer Systems 2017-09-02

Blockchain is an emerging technology that has the potential to revolutionize global industry and create a trusted relationship in multi-party business network. There are number of practical use cases where blockchain been applied. One specific area Art industry, it natural fit way art forensics transactions conducted, tracked recorded. This motivates us develop ArtChain platform assist Industry. In this paper, we present ArtChain, which integrated trading system based on blockchain. It...

10.1109/blockchain.2019.00068 article EN 2019-07-01

Unsupervised Domain Adaptation Regression (DAR) aims to bridge the domain gap between a labeled source dataset and an unlabelled target for regression problems. Recent works mostly focus on learning deep feature encoder by minimizing discrepancy features. In this work, we present different perspective DAR problem analyzing closed-form ordinary least square (OLS) solution linear regressor in adaptation context. Rather than aligning original embedding space, propose align inverse Gram matrix...

10.1109/cvpr52729.2023.01130 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023-06-01

Objective : To identify barriers to compliance with guidelines for diabetic retinopathy screening. Methods The population studied included 4410 adults, aged 31 64, enrolled in an Independent Practice Association (IPA) plan Upstate New York, who were diagnosed diabetes, and their Primary Care Physicians (408 PCPs). Claims data used calculate variables characterizing patients PCPs. Logistic regression models estimated factors associated higher probability of Results 34% screened 1993....

10.1076/opep.6.1.61.1563 article EN Ophthalmic Epidemiology 1999-01-01

Machine learning (ML) is emerging as a highly effective technique for mineral exploration. However, exploration poses several unique challenges to ML application, such uncertain geological information in remote regions and imbalanced labeled training data. In this study, we developed deep-learning framework — self-attention back-propagation neural network (SA-BPNN) which used automatically explore relationships among diverse features improve the capability of extraction. Moreover, proposed...

10.1016/j.oregeorev.2023.105419 article EN cc-by-nc-nd Ore Geology Reviews 2023-04-06

Cross-chain is an emerging blockchain technology which builds the bridge across homogeneous and heterogeneous blockchains. However, due to differentiation of different blockchains lack access control identity authentication cross-chain operation subjects, existing technologies are struggling accomplish transformation subjects between chains, also pose great challenges in terms traceability supervision dangerous transactions. To address above issues, this paper proposes a scalable scheme, can...

10.3390/s23042000 article EN cc-by Sensors 2023-02-10

Architectural design contexts contain a set of factors that greatly influence software application development. Among them, organizational consist high-level company concerns and how it is structured, for example, stakeholders development schedules heavily impacting considerations. The Decentralized Autonomous Organization (DAO), as vital concept in the Web3 space, represents an organization constructed by automatically executed rules, such via smart contracts, holding features...

10.1109/icbc56567.2023.10174988 article EN 2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC) 2023-05-01

Cryptocurrencies are widely used, yet current methods for analyzing transactions heavily rely on opaque, black-box models. These lack interpretability and adaptability, failing to effectively capture behavioral patterns. Many researchers, including us, believe that Large Language Models (LLMs) could bridge this gap due their robust reasoning abilities complex tasks. In paper, we test hypothesis by applying LLMs real-world cryptocurrency transaction graphs, specifically within the Bitcoin...

10.48550/arxiv.2501.18158 preprint EN arXiv (Cornell University) 2025-01-30

Decentralized Autonomous Organizations (DAOs) signify a groundbreaking approach to Internet-based management, enabled by blockchain technology and cryptocurrencies, are viewed as fundamental elements of the Web3 ecosystem. In this study, we delve into concept DAOs thoroughly investigating their underlying structure, ideology, operational principles. Furthermore, present novel DAO framework derived from technical organizational assessment provide an overview cutting-edge tools currently...

10.1145/3716321 article EN Deleted Journal 2025-02-05

10.1109/tcss.2025.3539889 article EN cc-by IEEE Transactions on Computational Social Systems 2025-01-01
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