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ORCIDKuansan 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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