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Kuansan Wang
Person information
- affiliation: Microsoft Research, Redmond, WA, USA
- affiliation (PhD): University of Maryland, College Park, MD, USA
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2020 – today
- 2023
- [j23]Jean Claude Burgelman, Kuansan Wang:
Editorial: Data science and artificial intelligence for (better) science. Frontiers Res. Metrics Anal. 8 (2023) - [j22]Xiao Liu
, Li Mian, Yuxiao Dong
, Fanjin Zhang
, Jing Zhang
, Jie Tang
, Peng Zhang
, Jibing Gong
, Kuansan Wang:
OAG$_{\mathrm {know}}$ know : Self-Supervised Learning for Linking Knowledge Graphs. IEEE Trans. Knowl. Data Eng. 35(2): 1895-1908 (2023) - [j21]Fanjin Zhang
, Xiao Liu
, Jie Tang
, Yuxiao Dong
, Peiran Yao
, Jie Zhang, Xiaotao Gu, Yan Wang, Evgeny Kharlamov, Bin Shao, Rui Li, Kuansan Wang:
OAG: Linking Entities Across Large-Scale Heterogeneous Knowledge Graphs. IEEE Trans. Knowl. Data Eng. 35(9): 9225-9239 (2023) - 2022
- [j20]Vinay K. Chaudhri, Chaitanya K. Baru, Naren Chittar, Xin Luna Dong, Michael R. Genesereth, James A. Hendler, Aditya Kalyanpur, Douglas B. Lenat, Juan Sequeda, Denny Vrandecic, Kuansan Wang:
Knowledge Graphs: Introduction, History and, Perspectives. AI Mag. 43(1): 17-29 (2022) - [c63]Yu Zhang, Zhihong Shen, Chieh-Han Wu, Boya Xie, Junheng Hao, Ye-Yi Wang, Kuansan Wang, Jiawei Han:
Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification. WWW 2022: 3162-3173 - [i18]Yu Zhang, Zhihong Shen, Chieh-Han Wu, Boya Xie, Junheng Hao, Ye-Yi Wang, Kuansan Wang, Jiawei Han:
Metadata-Induced Contrastive Learning for Zero-Shot Multi-Label Text Classification. CoRR abs/2202.05932 (2022) - 2021
- [j19]Feng Xia
, C. Lee Giles
, Huan Liu
, Kuansan Wang:
Guest Editorial: Scholarly Big Data. IEEE Trans. Emerg. Top. Comput. 9(1): 200-203 (2021) - [c62]Zhihong Shen, Chieh-Han Wu, Li Ma, Chien-Pang Chen, Kuansan Wang:
SciConceptMiner: A system for large-scale scientific concept discovery. ACL (demo) 2021: 48-54 - [c61]Yu Zhang, Zhihong Shen, Yuxiao Dong, Kuansan Wang, Jiawei Han:
MATCH: Metadata-Aware Text Classification in A Large Hierarchy. WWW 2021: 3246-3257 - [i17]Yu Zhang, Zhihong Shen, Yuxiao Dong, Kuansan Wang, Jiawei Han:
MATCH: Metadata-Aware Text Classification in A Large Hierarchy. CoRR abs/2102.07349 (2021) - [i16]Boya Xie, Zhihong Shen, Kuansan Wang:
Is preprint the future of science? A thirty year journey of online preprint services. CoRR abs/2102.09066 (2021) - [i15]Saurabh Mishra, Kuansan Wang:
Convergence and Inequality in Research Globalization. CoRR abs/2103.02052 (2021) - [i14]Yian Yin, Yuxiao Dong, Kuansan Wang, Dashun Wang, Benjamin F. Jones:
Science as a Public Good: Public Use and Funding of Science. CoRR abs/2105.00152 (2021) - 2020
- [j18]Naoki Abe, Huan Liu, Kuansan Wang:
Editorial: Innovations and Perspectives in Data Mining and Knowledge Discovery. Frontiers Big Data 3: 637906 (2020) - [j17]Anshul Kanakia, Kuansan Wang, Yuxiao Dong, Boya Xie, Kyle Lo, Zhihong Shen, Lucy Lu Wang
, Chiyuan Huang, Darrin Eide, Sebastian Kohlmeier, Chieh-Han Wu:
Mitigating Biases in CORD-19 for Analyzing COVID-19 Literature. Frontiers Res. Metrics Anal. 5: 596624 (2020) - [j16]Kuansan Wang
, Zhihong Shen, Chiyuan Huang, Chieh-Han Wu, Yuxiao Dong, Anshul Kanakia:
Microsoft Academic Graph: When experts are not enough. Quant. Sci. Stud. 1(1): 396-413 (2020) - [c60]Keng-Te Liao, Zhihong Shen, Chiyuan Huang, Chieh-Han Wu, Po-Chun Chen, Kuansan Wang, Shou-de Lin:
Explainable and Sparse Representations of Academic Articles for Knowledge Exploration. COLING 2020: 6207-6216 - [c59]Yuxiao Dong, Ziniu Hu, Kuansan Wang, Yizhou Sun, Jie Tang:
Heterogeneous Network Representation Learning. IJCAI 2020: 4861-4867 - [c58]Jiezhong Qiu, Qibin Chen
, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, Jie Tang:
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training. KDD 2020: 1150-1160 - [c57]Ziniu Hu, Yuxiao Dong, Kuansan Wang, Kai-Wei Chang, Yizhou Sun:
GPT-GNN: Generative Pre-Training of Graph Neural Networks. KDD 2020: 1857-1867 - [c56]Jiaming Shen, Zhihong Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han:
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network. WWW 2020: 486-497 - [c55]Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun:
Heterogeneous Graph Transformer. WWW 2020: 2704-2710 - [i13]Jiaming Shen, Zhihong Shen, Chenyan Xiong, Chi Wang, Kuansan Wang, Jiawei Han:
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network. CoRR abs/2001.09522 (2020) - [i12]Ziniu Hu, Yuxiao Dong, Kuansan Wang, Yizhou Sun:
Heterogeneous Graph Transformer. CoRR abs/2003.01332 (2020) - [i11]Lucy Lu Wang
, Kyle Lo, Yoganand Chandrasekhar, Russell Reas, Jiangjiang Yang, Darrin Eide, Kathryn Funk, Rodney Kinney, Ziyang Liu, William Merrill, Paul Mooney, Dewey A. Murdick
, Devvret Rishi, Jerry Sheehan, Zhihong Shen, Brandon Stilson, Alex D. Wade
, Kuansan Wang, Chris Wilhelm, Boya Xie, Douglas Raymond, Daniel S. Weld, Oren Etzioni, Sebastian Kohlmeier:
CORD-19: The Covid-19 Open Research Dataset. CoRR abs/2004.10706 (2020) - [i10]Jiezhong Qiu, Qibin Chen, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, Jie Tang:
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training. CoRR abs/2006.09963 (2020) - [i9]Ziniu Hu, Yuxiao Dong, Kuansan Wang, Kai-Wei Chang, Yizhou Sun:
GPT-GNN: Generative Pre-Training of Graph Neural Networks. CoRR abs/2006.15437 (2020)
2010 – 2019
- 2019
- [j15]Emery D. Berger
, Stephen M. Blackburn, Carla E. Brodley, H. V. Jagadish, Kathryn S. McKinley, Mario A. Nascimento, Minjeong Shin, Kuansan Wang, Lexing Xie
:
GOTO rankings considered helpful. Commun. ACM 62(7): 29-30 (2019) - [j14]Kuansan Wang:
Opportunities in Open Science With AI. Frontiers Big Data 2: 26 (2019) - [j13]Kuansan Wang, Zhihong Shen, Chiyuan Huang, Chieh-Han Wu, Darrin Eide, Yuxiao Dong, Junjie Qian, Anshul Kanakia, Alvin Chen, Richard Rogahn:
A Review of Microsoft Academic Services for Science of Science Studies. Frontiers Big Data 2: 45 (2019) - [c54]Feng Xia, Huan Liu, Irwin King
, Kuansan Wang:
BigScholar 2019: The 6th Workshop on Big Scholarly Data. CIKM 2019: 3003-3004 - [c53]Fanjin Zhang, Xiao Liu
, Jie Tang, Yuxiao Dong, Peiran Yao
, Jie Zhang, Xiaotao Gu, Yan Wang, Bin Shao, Rui Li, Kuansan Wang:
OAG: Toward Linking Large-scale Heterogeneous Entity Graphs. KDD 2019: 2585-2595 - [c52]Jie Tang, Jure Leskovec
, Kuansan Wang, Deborah L. McGuinness
, Hassan Sawaf:
Panel: Computational Methods about Knowledge Graph. WWW (Companion Volume) 2019: 677 - [c51]Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang:
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization. WWW 2019: 1509-1520 - [c50]Anshul Kanakia, Zhihong Shen, Darrin Eide, Kuansan Wang:
A Scalable Hybrid Research Paper Recommender System for Microsoft Academic. WWW 2019: 2893-2899 - [i8]Anshul Kanakia, Zhihong Shen, Darrin Eide, Kuansan Wang:
A Scalable Hybrid Research Paper Recommender System for Microsoft Academic. CoRR abs/1905.08880 (2019) - [i7]Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, Jie Tang:
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization. CoRR abs/1906.11156 (2019) - 2018
- [c49]Zhihong Shen, Hao Ma, Kuansan Wang:
A Web-scale system for scientific knowledge exploration. ACL (4) 2018: 87-92 - [c48]Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang:
DeepInf: Social Influence Prediction with Deep Learning. KDD 2018: 2110-2119 - [c47]Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang:
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec. WSDM 2018: 459-467 - [c46]Evgeniy Gabrilovich, Kira Radinsky, Kuansan Wang:
The BIG Web Track Chairs' Welcome & Organization. WWW (Companion Volume) 2018: 629-630 - [i6]Zhihong Shen, Hao Ma, Kuansan Wang:
A Web-scale system for scientific knowledge exploration. CoRR abs/1805.12216 (2018) - [i5]Yuxiao Dong, Hao Ma, Jie Tang, Kuansan Wang:
Collaboration Diversity and Scientific Impact. CoRR abs/1806.03694 (2018) - [i4]Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang:
DeepInf: Social Influence Prediction with Deep Learning. CoRR abs/1807.05560 (2018) - 2017
- [c45]Yuxiao Dong, Hao Ma, Zhihong Shen, Kuansan Wang:
A Century of Science: Globalization of Scientific Collaborations, Citations, and Innovations. KDD 2017: 1437-1446 - [c44]Xiang Ren, Yuanhua Lv, Kuansan Wang, Jiawei Han:
Comparative Document Analysis for Large Text Corpora. WSDM 2017: 325-334 - [i3]Yuxiao Dong, Hao Ma, Zhihong Shen, Kuansan Wang:
A Century of Science: Globalization of Scientific Collaborations, Citations, and Innovations. CoRR abs/1704.05150 (2017) - [i2]Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang:
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec. CoRR abs/1710.02971 (2017) - 2016
- [j12]Alex D. Wade
, Kuansan Wang:
The rise of the machines: Artificial intelligence meets scholarly content. Learn. Publ. 29(3): 201-205 (2016) - [c43]Alex D. Wade
, Kuansan Wang, Yizhou Sun, Antonio Gulli:
WSDM Cup 2016: Entity Ranking Challenge. WSDM 2016: 593-594 - 2015
- [c42]Bin Bi, Hao Ma, Bo-June Paul Hsu, Wei Chu, Kuansan Wang, Junghoo Cho:
Learning to Recommend Related Entities to Search Users. WSDM 2015: 139-148 - [c41]Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June Paul Hsu, Kuansan Wang:
An Overview of Microsoft Academic Service (MAS) and Applications. WWW (Companion Volume) 2015: 243-246 - [c40]Kuansan Wang:
The Knowledge Web Meets Big Scholars. WWW (Companion Volume) 2015: 577-578 - [i1]Xiang Ren, Yuanhua Lv, Kuansan Wang, Jiawei Han:
Comparative Document Analysis for Large Text Corpora. CoRR abs/1510.07197 (2015) - 2014
- [j11]David Carmel, Ming-Wei Chang, Evgeniy Gabrilovich, Bo-June Paul Hsu, Kuansan Wang:
ERD'14: Entity Recognition and Disambiguation Challenge. SIGIR Forum 48(2): 63-77 (2014) - [c39]Ming-Wei Chang, Bo-June Paul Hsu, Hao Ma, Ricky Loynd, Kuansan Wang:
E2E: An End-to-End Entity Linking System for Short and Noisy Text. #MSM 2014: 62-63 - [c38]David Carmel, Ming-Wei Chang, Evgeniy Gabrilovich
, Bo-June Paul Hsu, Kuansan Wang:
ERD'14: entity recognition and disambiguation challenge. SIGIR 2014: 1292 - [c37]Yuzhe Jin, Emre Kiciman, Kuansan Wang, Ricky Loynd:
Entity linking at the tail: sparse signals, unknown entities, and phrase models. WSDM 2014: 453-462 - [c36]Yang Song, Weiwei Cui, Shixia Liu, Kuansan Wang:
Online behavioral genome sequencing from usage logs: decoding the search behaviors. WWW (Companion Volume) 2014: 91-94 - [e1]David Carmel, Ming-Wei Chang, Evgeniy Gabrilovich, Bo-June Paul Hsu, Kuansan Wang:
ERD'14, Proceedings of the First ACM International Workshop on Entity Recognition & Disambiguation, July 11, 2014, Gold Coast, Queensland, Australia. ACM 2014, ISBN 978-1-4503-3023-7 [contents] - 2013
- [c35]Yanen Li, Bo-June Paul Hsu, ChengXiang Zhai, Kuansan Wang:
Mining entity attribute synonyms via compact clustering. CIKM 2013: 867-872 - [c34]Yuzhe Jin, Kuansan Wang, Emre Kiciman:
Sparse lexical representation for semantic entity resolution. ICASSP 2013: 8575-8579 - [c33]Xian-Sheng Hua, Linjun Yang, Jingdong Wang
, Jing Wang, Ming Ye, Kuansan Wang, Yong Rui, Jin Li:
Clickage: towards bridging semantic and intent gaps via mining click logs of search engines. ACM Multimedia 2013: 243-252 - [c32]Yang Song, Hao Ma, Hongning Wang
, Kuansan Wang:
Exploring and exploiting user search behavior on mobile and tablet devices to improve search relevance. WWW 2013: 1201-1212 - 2012
- [c31]Jeff Huang, Ryen W. White, Georg Buscher, Kuansan Wang:
Improving searcher models using mouse cursor activity. SIGIR 2012: 195-204 - 2011
- [c30]Yanen Li, Bo-June Paul Hsu, ChengXiang Zhai, Kuansan Wang:
Unsupervised query segmentation using clickthrough for information retrieval. SIGIR 2011: 285-294 - [c29]Kuansan Wang, Jan O. Pedersen:
Review of MSR-Bing web scale speller challenge. SIGIR 2011: 1339-1340 - [c28]Yin He, Kuansan Wang:
Inferring search behaviors using partially observable markov model with duration (POMD). WSDM 2011: 415-424 - [c27]Kuansan Wang, Christopher Thrasher, Bo-June Paul Hsu:
Web scale NLP: a case study on url word breaking. WWW 2011: 357-366 - 2010
- [j10]Chengxiang Zhai, Kuansan Wang, David Yarowsky, Stephan Vogel, Evelyne Viegas:
Web N-gram workshop 2010. SIGIR Forum 44(2): 59-63 (2010) - [c26]Bin Cao, Dou Shen, Kuansan Wang, Qiang Yang:
Clickthrough Log Analysis by Collaborative Ranking. AAAI 2010: 224-229 - [c25]Kuansan Wang, Christopher Thrasher, Evelyne Viegas, Xiaolong Li, Bo-June Paul Hsu:
An Overview of Microsoft Web N-gram Corpus and Applications. NAACL (Demos) 2010: 45-48 - [c24]Kuansan Wang, Xiaolong Li, Jianfeng Gao:
Multi-style language model for web scale information retrieval. SIGIR 2010: 467-474 - [c23]Kuansan Wang, Nikolas Gloy, Xiaolong Li:
Inferring search behaviors using partially observable Markov (POM) model. WSDM 2010: 211-220 - [c22]Jian Huang, Jianfeng Gao, Jiangbo Miao, Xiaolong Li, Kuansan Wang, Fritz Behr, C. Lee Giles
:
Exploring web scale language models for search query processing. WWW 2010: 451-460 - [c21]Hongwen Kang, Kuansan Wang, David Soukal, Fritz Behr, Zijian Zheng:
Large-scale bot detection for search engines. WWW 2010: 501-510 - [c20]Sara Javanmardi, Jianfeng Gao, Kuansan Wang:
Optimizing two stage bigram language models for IR. WWW 2010: 1125-1126
2000 – 2009
- 2009
- [c19]Kuansan Wang, Xiaolong Li:
Efficacy of a constantly adaptive language modeling technique for web-scale applications. ICASSP 2009: 4733-4736 - [c18]Kuansan Wang, Toby Walker, Zijian Zheng:
PSkip: estimating relevance ranking quality from web search clickthrough data. KDD 2009: 1355-1364 - 2005
- [j9]Li Deng, Kuansan Wang, Wu Chou:
Speech technology and systems in human-machine communication [from the Guest Editors]. IEEE Signal Process. Mag. 22(5): 12-14 (2005) - 2004
- [j8]Li Deng, Ye-Yi Wang, Kuansan Wang, Alex Acero, Hsiao-Wuen Hon, Jasha Droppo, Constantinos Boulis, Milind Mahajan, Xuedong Huang:
Speech and Language Processing for Multimodal Human-Computer Interaction. J. VLSI Signal Process. 36(2-3): 161-187 (2004) - [c17]Kuansan Wang:
A detection based approach to robust speech understanding. ICASSP (1) 2004: 413-416 - [c16]Kuansan Wang:
Spoken language interface in ECMA/ISO telecommunication standards. INTERSPEECH 2004: 2777-2780 - [c15]Kuansan Wang, Ye-Yi Wang, Alex Acero:
Use and Acquisition of Semantic Language Model. HLT-NAACL (Demonstration Papers) 2004 - 2003
- [c14]Kuansan Wang:
Semantic object synchronous understanding in SALT for highly interactive user interface. INTERSPEECH 2003: 1209-1212 - [c13]Dong Yu, Kuansan Wang, Milind Mahajan, Peter Mau, Alex Acero:
Improved name recognition with user modeling. INTERSPEECH 2003: 1229-1232 - 2002
- [j7]Li Deng, Kuansan Wang, Alex Acero, Hsiao-Wuen Hon, Jasha Droppo
, Constantinos Boulis, Ye-Yi Wang, Derek Jacoby, Milind Mahajan, Ciprian Chelba, Xuedong Huang:
Distributed speech processing in miPad's multimodal user interface. IEEE Trans. Speech Audio Process. 10(8): 605-619 (2002) - [c12]Li Deng, Alex Acero, Ye-Yi Wang, Kuansan Wang, Hsiao-Wuen Hon, Jasha Droppo
, Milind Mahajan, Xuedong Huang:
A speech-centric perspective for human-computer interface. IEEE Workshop on Multimedia Signal Processing 2002: 263-267 - [c11]Kuansan Wang:
SALT: An XML Application for Web-based Multimodal Dialog Management. NLPXML@COLING 2002 - [c10]Kuansan Wang:
SALT: a spoken language interface for web-based multimodal dialog systems. INTERSPEECH 2002: 2241-2244 - 2001
- [c9]Xuedong Huang, Alex Acero, Ciprian Chelba, Li Deng, Jasha Droppo
, Doug Duchene, Joshua Goodman, Hsiao-Wuen Hon, Derek Jacoby, Li Jiang, Ricky Loynd, Milind Mahajan, Peter Mau, Scott Meredith, Salman Mughal, Salvado Neto, Mike Plumpe, Kuansan Steury, Gina Venolia, Kuansan Wang, Ye-Yi Wang:
MiPad: a multimodal interaction prototype. ICASSP 2001: 9-12 - 2000
- [c8]Hsiao-Wuen Hon, Kuansan Wang:
Unified frame and segment based models for automatic speech recognition. ICASSP 2000: 1017-1020 - [c7]Xuedong Huang, Alex Acero, Ciprian Chelba, Li Deng, Doug Duchene, Joshua Goodman, Hsiao-Wuen Hon, Derek Jacoby, Li Jiang, Ricky Loynd, Milind Mahajan, Peter Mau, Scott Meredith, Salman Mughal, Salvado Neto, Mike Plumpe, Kuansan Wang, Ye-Yi Wang:
Mipad: a next generation PDA prototype. INTERSPEECH 2000: 33-36 - [c6]Kuansan Wang:
Implementation of a multimodal dialog system using extended markup languages. INTERSPEECH 2000: 138-141 - [c5]Hsiao-Wuen Hon, Shankar Kumar, Kuansan Wang:
Unifying HMM and phone-pair segment models. INTERSPEECH 2000: 286-289 - [c4]Kuansan Wang:
A plan-based dialog system with probabilistic inferences. INTERSPEECH 2000: 644-647
1990 – 1999
- 1998
- [c3]Kuansan Wang:
An event driven model for dialogue systems. ICSLP 1998 - 1997
- [j6]Kuansan Wang, Chin-Hui Lee, Biing-Hwang Juang:
Selective feature extraction via signal decomposition. IEEE Signal Process. Lett. 4(1): 8-11 (1997) - 1996
- [j5]James W. Pitton, Kuansan Wang, Biing-Hwang Juang:
Time-frequency analysis and auditory modeling for automatic recognition of speech. Proc. IEEE 84(9): 1199-1215 (1996) - [c2]Kuansan Wang, Chin-Hui Lee, Biing-Hwang Juang:
Maximum likelihood learning of auditory feature maps for stationary vowels. ICSLP 1996: 1265-1268 - 1995
- [j4]Tsuhan Chen, Hans Peter Graf, Kuansan Wang:
Lip synchronization using speech-assisted video processing. IEEE Signal Process. Lett. 2(4): 57-59 (1995) - [j3]Kuansan Wang, Shihab A. Shamma:
Spectral shape analysis in the central auditory system. IEEE Trans. Speech Audio Process. 3(5): 382-395 (1995) - 1994
- [j2]Kuansan Wang, Shihab A. Shamma:
Self-normalization and noise-robustness in early auditory representations. IEEE Trans. Speech Audio Process. 2(3): 421-435 (1994) - 1993
- [c1]Kuansan Wang, Shihab A. Shamma, William J. Byrne:
Noise robustness in the auditory representation of speech signals. ICASSP (2) 1993: 335-338 - 1992
- [j1]Xiaowei Yang, Kuansan Wang, Shihab A. Shamma:
Auditory representations of acoustic signals. IEEE Trans. Inf. Theory 38(2): 824-839 (1992)
Coauthor Index
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