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ORCIDXin Dong 0001
Xin Luna Dong – Luna Dong
Person information
- affiliation: Amazon
- affiliation: Google
Other persons with the same name
- Xin Dong — disambiguation page
- Xin Dong 0002 — Rensselaer Polytechnic Institute, Troy, USA
- Xin Dong 0003 — Zhejiang University, China
- Xin Dong 0004 — Northeastern University, Boston, USA
- Xin Dong 0005 — Central South University, Changsha, China
- Xin Dong 0006 — Communication University of China, Information Engineering School, Beijing, China
- Xin Dong 0007 — Shanghai Jiao Tong University
- Xin Dong 0008 — University of Nebraska-Lincoln
- Xin Dong 0009
![[0000-0001-8727-8088]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-8727-8088")
— Harvard University, Cambridge, MA, USA (and 1 more) - Xin Dong 0010 — Rutgers University, NJ, USA
- Xin Dong 0011 — University of Nottingham, Nottingham, UK
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2020 – today
- 2023
[c78]Xin Luna Dong:
Next-Generation Intelligent Assistants for AR/VR Devices. EGC 2023: 3-4- 2022
- [j49]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) - [j48]Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu:
The Seattle report on database research. Commun. ACM 65(8): 72-79 (2022) - [c77]Xin Luna Dong:
Next-Generation Intelligent Assistants for AR/VR Devices. KaRS@RecSys 2022 - [c76]Sihem Amer-Yahia, Sourav S. Bhowmick, Xin Luna Dong, Stratos Idreos, Wolfgang Lehner, Divesh Srivastava:
Publication Culture and Review Processes in the Data Management Community: An Open Discussion. SIGMOD Conference 2022: 2501-2502 - [c75]Xinyang Zhang, Chenwei Zhang, Xian Li, Xin Luna Dong, Jingbo Shang, Christos Faloutsos, Jiawei Han:
OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision. WWW 2022: 3153-3161 - [e7]K. Selcuk Candan, Huan Liu, Leman Akoglu, Xin Luna Dong, Jiliang Tang:
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022. ACM 2022, ISBN 978-1-4503-9132-0 [contents] - [i36]Pinar Tözün, Felix Naumann, Philippe Bonnet, Xin Luna Dong:
VLDB 2021: Designing a Hybrid Conference. CoRR abs/2202.08069 (2022) - [i35]Kewei Cheng, Xian Li, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun:
PGE: Robust Product Graph Embedding Learning for Error Detection. CoRR abs/2202.09747 (2022) - [i34]Xinyang Zhang, Chenwei Zhang, Xian Li, Xin Luna Dong, Jingbo Shang, Christos Faloutsos, Jiawei Han:
OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision. CoRR abs/2204.13874 (2022) - 2021
- [j47]Gerhard Weikum, Xin Luna Dong, Simon Razniewski, Fabian M. Suchanek:
Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases. Found. Trends Databases 10(2-4): 108-490 (2021) - [j46]Xin Luna Dong, Felix Naumann:
Front Matter. Proc. VLDB Endow. 14(12) (2021) - [j45]Di Jin, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Danai Koutra:
Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation. Proc. VLDB Endow. 15(3): 465-477 (2021) - [j44]Philippe Bonnet, Xin Luna Dong, Felix Naumann, Pinar Tözün:
VLDB 2021: Designing a Hybrid Conference. SIGMOD Rec. 50(4): 50-53 (2021) - [c74]Jun Yan, Nasser Zalmout, Yan Liang, Christan Grant, Xiang Ren, Xin Luna Dong:
AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding. ACL/IJCNLP (1) 2021: 4694-4705 - [c73]Zhengbao Jiang, Jialong Han, Bunyamin Sisman, Xin Luna Dong:
CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction. ACL/IJCNLP (1) 2021: 4706-4716 - [c72]Liqiang Xiao, Jun Ma, Xin Luna Dong, Pascual Martínez-Gómez, Nasser Zalmout, Wei Chen, Tong Zhao, Hao He, Yaohui Jin:
End-to-End Conversational Search for Online Shopping with Utterance Transfer. EMNLP (1) 2021: 3477-3486 - [c71]Rongmei Lin, Xiang He, Jie Feng, Nasser Zalmout, Yan Liang, Li Xiong, Xin Luna Dong:
PAM: Understanding Product Images in Cross Product Category Attribute Extraction. KDD 2021: 3262-3270 - [c70]Nasser Zalmout, Chenwei Zhang, Xian Li, Yan Liang, Xin Luna Dong:
All You Need to Know to Build a Product Knowledge Graph. KDD 2021: 4090-4091 - [c69]Yikun Xian, Tong Zhao, Jin Li, Jim Chan, Andrey Kan, Jun Ma, Xin Luna Dong, Christos Faloutsos, George Karypis, S. Muthukrishnan, Yongfeng Zhang:
EX3: Explainable Attribute-aware Item-set Recommendations. RecSys 2021: 484-494 - [c68]Yongfeng Zhang, Min Zhang, Hanxiong Chen, Xu Chen, Xianjie Chen, Chuang Gan, Tong Sun, Xin Luna Dong:
The 1st International Workshop on Machine Reasoning: International Machine Reasoning Conference (MRC 2021). WSDM 2021: 1161-1162 - [c67]Xinyang Zhang, Chenwei Zhang, Xin Luna Dong, Jingbo Shang, Jiawei Han:
Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks. WWW 2021: 3258-3268 - [c66]Daheng Wang, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Xin Luna Dong, Meng Jiang:
TCN: Table Convolutional Network for Web Table Interpretation. WWW 2021: 4020-4032 - [i33]Daheng Wang, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Xin Luna Dong, Meng Jiang:
TCN: Table Convolutional Network for Web Table Interpretation. CoRR abs/2102.09460 (2021) - [i32]Xinyang Zhang, Chenwei Zhang, Xin Luna Dong, Jingbo Shang, Jiawei Han:
Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks. CoRR abs/2102.11479 (2021) - [i31]Zhengbao Jiang, Jialong Han, Bunyamin Sisman, Xin Luna Dong:
CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction. CoRR abs/2106.00793 (2021) - [i30]Jun Yan, Nasser Zalmout, Yan Liang, Christan Grant, Xiang Ren, Xin Luna Dong:
AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding. CoRR abs/2106.02318 (2021) - [i29]Rongmei Lin, Xiang He, Jie Feng, Nasser Zalmout, Yan Liang, Li Xiong, Xin Luna Dong:
PAM: Understanding Product Images in Cross Product Category Attribute Extraction. CoRR abs/2106.04630 (2021) - [i28]Liqiang Xiao, Jun Ma, Xin Luna Dong, Pascual Martínez-Gómez, Nasser Zalmout, Wei Chen, Tong Zhao, Hao He, Yaohui Jin:
End-to-End Conversational Search for Online Shopping with Utterance Transfer. CoRR abs/2109.05460 (2021) - [i27]Di Jin, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Danai Koutra:
Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation. CoRR abs/2110.14509 (2021) - 2020
- [j43]Peter Bailis, Magda Balazinska, Xin Luna Dong, Juliana Freire, Raghu Ramakrishnan, Michael Stonebraker, Joseph M. Hellerstein:
Winds from Seattle: Database Research Directions. Proc. VLDB Endow. 13(12): 3516 (2020) - [j42]Xin Luna Dong, Felix Naumann:
Front Matter. Proc. VLDB Endow. 14(1): i-vi (2020) - [c65]Xin Luna Dong, Hannaneh Hajishirzi, Colin Lockard, Prashant Shiralkar:
Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web. ACL (tutorial) 2020: 23-26 - [c64]Colin Lockard, Prashant Shiralkar, Xin Luna Dong, Hannaneh Hajishirzi:
ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages. ACL 2020: 8105-8117 - [c63]Giannis Karamanolakis, Jun Ma, Xin Luna Dong:
TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories. ACL 2020: 8489-8502 - [c62]Varun Embar, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Christos Faloutsos, Lise Getoor:
Contrastive Entity Linkage: Mining Variational Attributes from Large Catalogs for Entity Linkage. AKBC 2020 - [c61]Xin Luna Dong:
Ceres: Harvesting Knowledge from the Semi-structured Web. CIKM 2020: 1 - [c60]Junheng Hao, Tong Zhao, Jin Li, Xin Luna Dong, Christos Faloutsos, Yizhou Sun, Wei Wang:
P-Companion: A Principled Framework for Diversified Complementary Product Recommendation. CIKM 2020: 2517-2524 - [c59]Namyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong:
J-Recs: Principled and Scalable Recommendation Justification. ICDM 2020: 1208-1213 - [c58]Zhengyang Wang, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Shuiwang Ji:
CorDEL: A Contrastive Deep Learning Approach for Entity Linkage. ICDM 2020: 1322-1327 - [c57]Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos:
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals. KDD 2020: 503-512 - [c56]Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han:
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. KDD 2020: 2247-2257 - [c55]Yaqing Wang, Yifan Ethan Xu, Xian Li, Xin Luna Dong, Jing Gao:
Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data. KDD 2020: 2533-2541 - [c54]Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han:
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. KDD 2020: 2724-2734 - [c53]Xin Luna Dong, Hannaneh Hajishirzi, Colin Lockard, Prashant Shiralkar:
Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web. KDD 2020: 3543-3544 - [c52]Wei Zhang, Hao Wei, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, David Page:
AutoBlock: A Hands-off Blocking Framework for Entity Matching. WSDM 2020: 744-752 - [c51]Colin Lockard, Prashant Shiralkar, Xin Luna Dong, Hannaneh Hajishirzi:
Web-scale Knowledge Collection. WSDM 2020: 888-889 - [c50]Qi Zhu, Hao Wei, Bunyamin Sisman, Da Zheng, Christos Faloutsos, Xin Luna Dong, Jiawei Han:
Collective Multi-type Entity Alignment Between Knowledge Graphs. WWW 2020: 2241-2252 - [e6]Federico Piai, Donatella Firmani, Valter Crescenzi, Andrea De Angelis, Xin Luna Dong, Maurizio Mazzei, Paolo Merialdo, Divesh Srivastava:
Proceedings of the 2nd International Workshop on Challenges and Experiences from Data Integration to Knowledge Graphs co-located with 46th International Conference on Very Large Data Bases, DI2KG@VLDB 2020, Tokyo, Japan, August 31, 2020. CEUR Workshop Proceedings 2726, CEUR-WS.org 2020 [contents] - [i26]Giannis Karamanolakis, Jun Ma, Xin Luna Dong:
TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories. CoRR abs/2004.13852 (2020) - [i25]Colin Lockard, Prashant Shiralkar, Xin Luna Dong, Hannaneh Hajishirzi:
ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages. CoRR abs/2005.07105 (2020) - [i24]Yaqing Wang, Yifan Ethan Xu, Xian Li, Xin Luna Dong, Jing Gao:
Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data. CoRR abs/2006.08779 (2020) - [i23]Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han:
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. CoRR abs/2006.10276 (2020) - [i22]Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos:
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals. CoRR abs/2006.12001 (2020) - [i21]Xin Luna Dong, Xiang He, Andrey Kan, Xian Li, Yan Liang, Jun Ma, Yifan Ethan Xu, Chenwei Zhang, Tong Zhao, Gabriel Blanco Saldana, Saurabh Deshpande, Alexandre Michetti Manduca, Jay Ren, Surender Pal Singh, Fan Xiao, Haw-Shiuan Chang, Giannis Karamanolakis, Yuning Mao, Yaqing Wang, Christos Faloutsos, Andrew McCallum, Jiawei Han:
AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. CoRR abs/2006.13473 (2020) - [i20]Zhengyang Wang, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Shuiwang Ji:
CorDEL: A Contrastive Deep Learning Approach for Entity Linkage. CoRR abs/2009.07203 (2020) - [i19]Gerhard Weikum, Luna Dong, Simon Razniewski, Fabian M. Suchanek:
Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases. CoRR abs/2009.11564 (2020) - [i18]Namyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong:
J-Recs: Principled and Scalable Recommendation Justification. CoRR abs/2011.05928 (2020)
2010 – 2019
- 2019
- [j41]Junyang Gao, Xian Li, Yifan Ethan Xu, Bunyamin Sisman, Xin Luna Dong, Jun Yang:
Efficient Knowledge Graph Accuracy Evaluation. Proc. VLDB Endow. 12(11): 1679-1691 (2019) - [j40]Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu:
The Seattle Report on Database Research. SIGMOD Rec. 48(4): 44-53 (2019) - [c49]Xin Luna Dong:
Building a Broad Knowledge Graph for Products. ICDE 2019: 25 - [c48]Xiaolan Wang, Xin Luna Dong, Yang Li, Alexandra Meliou:
MIDAS: Finding the Right Web Sources to Fill Knowledge Gaps. ICDE 2019: 578-589 - [c47]Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos:
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. KDD 2019: 596-606 - [c46]Xin Luna Dong, Theodoros Rekatsinas:
Data Integration and Machine Learning: A Natural Synergy. KDD 2019: 3193-3194 - [c45]Dongxu Zhang, Subhabrata Mukherjee, Colin Lockard, Xin Luna Dong, Andrew McCallum:
OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference. NAACL-HLT (1) 2019: 762-772 - [c44]Colin Lockard, Prashant Shiralkar, Xin Luna Dong:
OpenCeres: When Open Information Extraction Meets the Semi-Structured Web. NAACL-HLT (1) 2019: 3047-3056 - [e5]Donatella Firmani, Valter Crescenzi, Andrea De Angelis, Xin Luna Dong, Maurizio Mazzei, Paolo Merialdo, Divesh Srivastava:
Proceedings of the 1st International Workshop on Challenges and Experiences from Data Integration to Knowledge Graphs co-located with the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2019), Anchorage, Alaska, August 5, 2019. CEUR Workshop Proceedings 2512, CEUR-WS.org 2019 [contents] - [i17]Dongxu Zhang, Subhabrata Mukherjee, Colin Lockard, Xin Luna Dong, Andrew McCallum:
OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference. CoRR abs/1904.12606 (2019) - [i16]Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos:
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. CoRR abs/1905.08865 (2019) - [i15]Junyang Gao, Xian Li, Yifan Ethan Xu, Bunyamin Sisman, Xin Luna Dong, Jun Yang:
Efficient Knowledge Graph Accuracy Evaluation. CoRR abs/1907.09657 (2019) - [i14]Wei Zhang, Hao Wei, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, David Page:
AutoBlock: A Hands-off Blocking Framework for Entity Matching. CoRR abs/1912.03417 (2019) - 2018
- [j39]Luciano Barbosa, Valter Crescenzi, Xin Luna Dong, Paolo Merialdo, Federico Piai, Disheng Qiu, Yanyan Shen, Divesh Srivastava:
Big Data Integration for Product Specifications. IEEE Data Eng. Bull. 41(2): 71-81 (2018) - [j38]Colin Lockard, Xin Luna Dong, Prashant Shiralkar, Arash Einolghozati:
CERES: Distantly Supervised Relation Extraction from the Semi-Structured Web. Proc. VLDB Endow. 11(10): 1084-1096 (2018) - [j37]Luna Dong, Theodoros Rekatsinas:
Data Integration and Machine Learning: A Natural Synergy. Proc. VLDB Endow. 11(12): 2094-2097 (2018) - [j36]Qi Song, Yinghui Wu, Peng Lin, Xin Dong, Hui Sun:
Mining Summaries for Knowledge Graph Search. IEEE Trans. Knowl. Data Eng. 30(10): 1887-1900 (2018) - [c43]Rakshit Trivedi, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, Jun Ma, Hongyuan Zha:
LinkNBed: Multi-Graph Representation Learning with Entity Linkage. ACL (1) 2018: 252-262 - [c42]Xin Luna Dong:
Challenges and innovations in building a product knowledge graph: extended abstract. GRADES/NDA@SIGMOD/PODS 2018: 1:1 - [c41]Guineng Zheng, Subhabrata Mukherjee, Xin Luna Dong, Feifei Li:
OpenTag: Open Attribute Value Extraction from Product Profiles. KDD 2018: 1049-1058 - [c40]Xin Luna Dong:
Challenges and Innovations in Building a Product Knowledge Graph. KDD 2018: 2869 - [c39]Luciano Barbosa, Valter Crescenzi, Xin Luna Dong, Paolo Merialdo, Federico Piai, Disheng Qiu, Yanyan Shen, Divesh Srivastava:
Lessons Learned and Research Agenda for Big Data Integration of Product Specifications. SEBD 2018 - [c38]Xin Luna Dong, Theodoros Rekatsinas:
Data Integration and Machine Learning: A Natural Synergy. SIGMOD Conference 2018: 1645-1650 - [r5]Xin Luna Dong, Alon Y. Halevy:
Managing Data Integration Uncertainty. Encyclopedia of Database Systems (2nd ed.) 2018 - [r4]Xin Luna Dong, Divesh Srivastava:
Data Fusion. Encyclopedia of Database Systems (2nd ed.) 2018 - [r3]Xin Luna Dong, Divesh Srivastava:
Entity Resolution. Encyclopedia of Database Systems (2nd ed.) 2018 - [r2]Xin Luna Dong, Divesh Srivastava:
XML Indexing. Encyclopedia of Database Systems (2nd ed.) 2018 - [i13]Colin Lockard, Xin Luna Dong, Arash Einolghozati, Prashant Shiralkar:
CERES: Distantly Supervised Relation Extraction from the Semi-Structured Web. CoRR abs/1804.04635 (2018) - [i12]Guineng Zheng, Subhabrata Mukherjee, Xin Luna Dong, Feifei Li:
OpenTag: Open Attribute Value Extraction from Product Profiles. CoRR abs/1806.01264 (2018) - [i11]Rakshit Trivedi, Bunyamin Sisman, Jun Ma, Christos Faloutsos, Hongyuan Zha, Xin Luna Dong:
LinkNBed: Multi-Graph Representation Learning with Entity Linkage. CoRR abs/1807.08447 (2018) - 2017
- [j35]Furong Li, Xin Luna Dong, Anno Langen, Yang Li:
Knowledge Verification for LongTail Verticals. Proc. VLDB Endow. 10(11): 1370-1381 (2017) - [j34]Shazia Wasim Sadiq, Tamraparni Dasu, Xin Luna Dong, Juliana Freire, Ihab F. Ilyas, Sebastian Link, Renée J. Miller, Felix Naumann, Xiaofang Zhou, Divesh Srivastava:
Data Quality: The Role of Empiricism. SIGMOD Rec. 46(4): 35-43 (2017) - [e4]Sarven Capadisli, Franck Cotton, Xin Luna Dong, Ramanathan V. Guha, Armin Haller, Pascal Hitzler, Evangelos Kalampokis, Mayank Kejriwal, Freddy Lécué, D. Sivakumar, Pedro A. Szekely, Raphaël Troncy, Michael J. Witbrock:
Joint Proceedings of the International Workshops on Hybrid Statistical Semantic Understanding and Emerging Semantics, and Semantic Statistics co-located with 16th International Semantic Web Conference, HybridSemStats@ISWC 2017, Vienna, Austria October 22nd, 2017. CEUR Workshop Proceedings, CEUR-WS.org 2017 [contents] - [i10]Furong Li, Xin Luna Dong, Anno Langen, Yang Li:
Discovering Multiple Truths with a Hybrid Model. CoRR abs/1705.04915 (2017) - 2016
- [j33]Xin Luna Dong, Evgeniy Gabrilovich, Kevin Murphy, Van Dang, Wilko Horn, Camillo Lugaresi, Shaohua Sun, Wei Zhang:
Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources. IEEE Data Eng. Bull. 39(2): 106-117 (2016) - [j32]Christian Bizer, Luna Dong, Ihab F. Ilyas, Maria-Esther Vidal:
Editorial: Special Issue on Web Data Quality. ACM J. Data Inf. Qual. 8(1): 1:1-1:3 (2016) - [j31]Xin Luna Dong:
Leave No Valuable Data Behind: The Crazy Ideas and the Business. Proc. VLDB Endow. 9(13): 1621 (2016) - [j30]Xin Luna Dong, Anastasios Kementsietsidis, Wang-Chiew Tan:
A Time Machine for Information: Looking Back to Look Forward. SIGMOD Rec. 45(2): 23-32 (2016) - [c37]Qi Song, Yinghui Wu, Xin Luna Dong:
Mining Summaries for Knowledge Graph Search. ICDM 2016: 1215-1220 - [c36]Theodoros Rekatsinas, Amol Deshpande, Xin Luna Dong, Lise Getoor, Divesh Srivastava:
SourceSight: Enabling Effective Source Selection. SIGMOD Conference 2016: 2157-2160 - 2015
- [b1]Xin Luna Dong, Divesh Srivastava:
Big Data Integration. Synthesis Lectures on Data Management, Morgan & Claypool Publishers 2015, pp. 1-198 - [j29]Xin Luna Dong, Evgeniy Gabrilovich, Kevin Murphy, Van Dang, Wilko Horn, Camillo Lugaresi, Shaohua Sun, Wei Zhang:
Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources. Proc. VLDB Endow. 8(9): 938-949 (2015) - [j28]Wenfei Fan, Zhe Fan, Chao Tian, Xin Luna Dong:
Keys for Graphs. Proc. VLDB Endow. 8(12): 1590-1601 (2015) - [j27]Xiaolan Wang, Mary Feng, Yue Wang, Xin Luna Dong, Alexandra Meliou:
Error Diagnosis and Data Profiling with Data X-Ray. Proc. VLDB Endow. 8(12): 1984-1987 (2015) - [j26]Xin Luna Dong, Wang-Chiew Tan:
A Time Machine for Information: Looking Back to Look Forward. Proc. VLDB Endow. 8(12): 2044-2045 (2015) - [j25]Disheng Qiu, Luciano Barbosa, Xin Luna Dong, Yanyan Shen, Divesh Srivastava:
DEXTER: Large-Scale Discovery and Extraction of Product Specifications on the Web. Proc. VLDB Endow. 8(13): 2194-2205 (2015) - [c35]Theodoros Rekatsinas, Xin Luna Dong, Lise Getoor, Divesh Srivastava:
Finding Quality in Quantity: The Challenge of Discovering Valuable Sources for Integration. CIDR 2015 - [c34]Xian Li, Xin Luna Dong, Kenneth B. Lyons, Weiyi Meng, Divesh Srivastava:
Scaling up copy detection. ICDE 2015: 89-100 - [c33]Tim Althoff, Xin Luna Dong, Kevin Murphy, Safa Alai, Van Dang, Wei Zhang:
TimeMachine: Timeline Generation for Knowledge-Base Entities. KDD 2015: 19-28 - [c32]Xiaolan Wang, Xin Luna Dong, Alexandra Meliou:
Data X-Ray: A Diagnostic Tool for Data Errors. SIGMOD Conference 2015: 1231-1245 - [c31]Xin Luna Dong, Divesh Srivastava:
Knowledge Curation and Knowledge Fusion: Challenges, Models and Applications. SIGMOD Conference 2015: 2063-2066 - [c30]Serge Abiteboul, Xin Luna Dong, Oren Etzioni, Divesh Srivastava, Gerhard Weikum, Julia Stoyanovich, Fabian M. Suchanek:
The elephant in the room: getting value from Big Data. WebDB 2015: 1-5 - [c29]Pei Li, Xin Luna Dong, Songtao Guo, Andrea Maurino, Divesh Srivastava:
Robust Group Linkage. WWW 2015: 647-657 - [i9]Xin Luna Dong, Evgeniy Gabrilovich, Kevin Murphy, Van Dang, Wilko Horn, Camillo Lugaresi, Shaohua Sun, Wei Zhang:
Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources. CoRR abs/1502.03519 (2015) - [i8]Tim Althoff, Xin Luna Dong, Kevin Murphy, Safa Alai, Van Dang, Wei Zhang:
TimeMachine: Timeline Generation for Knowledge-Base Entities. CoRR abs/1502.04662 (2015) - [i7]Xin Luna Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Kevin Murphy, Shaohua Sun, Wei Zhang:
From Data Fusion to Knowledge Fusion. CoRR abs/1503.00302 (2015) - [i6]Xian Li, Xin Luna Dong, Kenneth Lyons, Weiyi Meng, Divesh Srivastava:
Truth Finding on the Deep Web: Is the Problem Solved? CoRR abs/1503.00303 (2015) - [i5]Ravali Pochampally, Anish Das Sarma, Xin Luna Dong, Alexandra Meliou, Divesh Srivastava:
Fusing Data with Correlations. CoRR abs/1503.00306 (2015) - [i4]Xian Li, Xin Luna Dong, Kenneth Lyons, Weiyi Meng, Divesh Srivastava:
Scaling up Copy Detection. CoRR abs/1503.00309 (2015) - [i3]Xin Luna Dong, Laure Berti-Équille, Divesh Srivastava:
Data Fusion: Resolving Conflicts from Multiple Sources. CoRR abs/1503.00310 (2015) - [i2]Pei Li, Xin Luna Dong, Songtao Guo, Andrea Maurino, Divesh Srivastava:
Robust Group Linkage. CoRR abs/1503.00604 (2015) - 2014
- [j24]