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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.uni-trier.de/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
- 2024
[j55]Yushi Sun, Xin Hao, Kai Sun, Yifan Xu, Xiao Yang, Xin Luna Dong, Nan Tang, Lei Chen:
Are Large Language Models a Good Replacement of Taxonomies? Proc. VLDB Endow. 17(11): 2919-2932 (2024)- [c88]Zekun Li, Zhiyu Chen, Mike Ross, Patrick Huber, Seungwhan Moon, Zhaojiang Lin, Xin Dong, Adithya Sagar, Xifeng Yan, Paul A. Crook:
Large Language Models as Zero-shot Dialogue State Tracker through Function Calling. ACL (1) 2024: 8688-8704 - [c87]Xin Luna Dong:
Next-generation Intelligent Assistants for Wearable Devices. KDD 2024: 4735 - [c86]Ashish Shenoy, Yichao Lu, Srihari Jayakumar, Debojeet Chatterjee, Mohsen Moslehpour, Pierce Chuang, Abhay Harpale, Vikas Bhardwaj, Di Xu, Shicong Zhao, Longfang Zhao, Ankit Ramchandani, Xin Luna Dong, Anuj Kumar:
Lumos: Empowering Multimodal LLMs with Scene Text Recognition. KDD 2024: 5690-5700 - [c85]Kai Sun, Yifan Ethan Xu, Hanwen Zha, Yue Liu, Xin Luna Dong:
Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs? NAACL-HLT 2024: 311-325 - [c84]Xin Luna Dong:
The Journey to a Knowledgeable Assistant with Retrieval-Augmented Generation (RAG). SIGMOD Conference Companion 2024: 3 - [c83]Xin Luna Dong:
The Journey to A Knowledgeable Assistant with Retrieval-Augmented Generation (RAG). WSDM 2024: 4 - [i43]Ashish Shenoy, Yichao Lu, Srihari Jayakumar, Debojeet Chatterjee, Mohsen Moslehpour, Pierce Chuang, Abhay Harpale, Vikas Bhardwaj, Di Xu, Shicong Zhao, Longfang Zhao, Ankit Ramchandani, Xin Luna Dong, Anuj Kumar:
Lumos : Empowering Multimodal LLMs with Scene Text Recognition. CoRR abs/2402.08017 (2024) - [i42]Zekun Li, Zhiyu Zoey Chen, Mike Ross, Patrick Huber, Seungwhan Moon, Zhaojiang Lin, Xin Luna Dong, Adithya Sagar, Xifeng Yan, Paul A. Crook:
Large Language Models as Zero-shot Dialogue State Tracker through Function Calling. CoRR abs/2402.10466 (2024) - [i41]Jielin Qiu, Andrea Madotto, Zhaojiang Lin, Paul A. Crook, Yifan Ethan Xu, Xin Luna Dong, Christos Faloutsos, Lei Li, Babak Damavandi, Seungwhan Moon:
SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM. CoRR abs/2403.04735 (2024) - [i40]Xiao Yang, Kai Sun, Hao Xin, Yushi Sun, Nikita Bhalla, Xiangsen Chen, Sajal Choudhary, Rongze Daniel Gui, Ziran Will Jiang, Ziyu Jiang, Lingkun Kong, Brian Moran, Jiaqi Wang, Yifan Ethan Xu, An Yan, Chenyu Yang, Eting Yuan, Hanwen Zha, Nan Tang, Lei Chen, Nicolas Scheffer, Yue Liu, Nirav Shah, Rakesh Wanga, Anuj Kumar, Wen-tau Yih, Xin Luna Dong:
CRAG - Comprehensive RAG Benchmark. CoRR abs/2406.04744 (2024) - [i39]Yushi Sun, Hao Xin, Kai Sun, Yifan Ethan Xu, Xiao Yang, Xin Luna Dong, Nan Tang, Lei Chen:
Are Large Language Models a Good Replacement of Taxonomies? CoRR abs/2406.11131 (2024) - 2023
- [j54]Xin Luna Dong, Alon Y. Halevy, Shane Moon:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 46(4): 3 (2023) - [j53]Xin Luna Dong:
Generations of Knowledge Graphs: The Crazy Ideas and the Business Impact. Proc. VLDB Endow. 16(12): 4130-4137 (2023) - [j52]Felix Naumann, Xin Luna Dong:
Editorial: Special Issue for Selected Papers of VLDB 2021. VLDB J. 32(6): 1163 (2023) - [c82]Kewei Cheng, Xian Li, Zhengyang Wang, Chenwei Zhang, Binxuan Huang, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun:
Tab-Cleaner: Weakly Supervised Tabular Data Cleaning via Pre-training for E-commerce Catalog. ACL (industry) 2023: 172-185 - [c81]Xin Luna Dong:
Next-Generation Intelligent Assistants for AR/VR Devices. EGC 2023: 3-4 - [c80]Xin Luna Dong, Seungwhan Moon, Yifan Ethan Xu, Kshitiz Malik, Zhou Yu:
Towards Next-Generation Intelligent Assistants Leveraging LLM Techniques. KDD 2023: 5792-5793 - [c79]Xin Luna Dong, Bo Li, Julia Stoyanovich, Anthony Kum Hoe Tung, Gerhard Weikum, Alon Y. Halevy, Wang-Chiew Tan:
Personal Data for Personal Use: Vision or Reality? SIGMOD Conference Companion 2023: 263-264 - [c78]Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658 - [i38]Kai Sun, Yifan Ethan Xu, Hanwen Zha, Yue Liu, Xin Luna Dong:
Head-to-Tail: How Knowledgeable are Large Language Models (LLM)? A.K.A. Will LLMs Replace Knowledge Graphs? CoRR abs/2308.10168 (2023) - [i37]Xin Luna Dong:
Generations of Knowledge Graphs: The Crazy Ideas and the Business Impact. CoRR abs/2308.14217 (2023) - 2022
- [j51]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) - [j50]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) - [j49]Kewei Cheng, Xian Li, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun:
PGE: Robust Product Graph Embedding Learning for Error Detection. Proc. VLDB Endow. 15(6): 1288-1296 (2022) - [j48]K. Selçuk Candan, Huan Liu, Leman Akoglu, Xin Luna Dong, Jiliang Tang, Andrew Tomkins:
ACM WSDM 2022 report. SIGWEB Newsl. 2022(Summer): 1:1-1:6 (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]