Xin Luna Dong

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 104

Top Venues

Publications

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 (2024)
Xin Luna Dong
Next-generation Intelligent Assistants for Wearable Devices. KDD (2024)
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 (2024)
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)
Xin Luna Dong
The Journey to A Knowledgeable Assistant with Retrieval-Augmented Generation (RAG). WSDM (2024)
Xin Luna Dong
The Journey to a Knowledgeable Assistant with Retrieval-Augmented Generation (RAG). SIGMOD Conference Companion (2024)
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)
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 (2024)
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 (2024)
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 (2024)
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)
Xin Luna Dong, Seungwhan Moon, Yifan Ethan Xu, Kshitiz Malik, Zhou Yu
Towards Next-Generation Intelligent Assistants Leveraging LLM Techniques. KDD (2023)
Xin Luna Dong
Generations of Knowledge Graphs: The Crazy Ideas and the Business Impact. CoRR (2023)
Xin Luna Dong, Alon Y. Halevy, Shane Moon
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 46 (4) (2023)
Xin Luna Dong
Generations of Knowledge Graphs: The Crazy Ideas and the Business Impact. Proc. VLDB Endow. 16 (12) (2023)
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 (2023)
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)
Xin Luna Dong
Next-Generation Intelligent Assistants for AR/VR Devices. EGC (2023)
Felix Naumann, Xin Luna Dong
Editorial: Special Issue for Selected Papers of VLDB 2021. VLDB J. 32 (6) (2023)
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)
K. Selçuk Candan, Huan Liu, Leman Akoglu, Xin Luna Dong, Jiliang Tang, Andrew Tomkins
ACM WSDM 2022 report. SIGWEB Newsl. 2022 (Summer) (2022)
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) (2022)
Kewei Cheng, Xian Li, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun
PGE: Robust Product Graph Embedding Learning for Error Detection. CoRR (2022)
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)
Xin Luna Dong
Next-Generation Intelligent Assistants for AR/VR Devices. KaRS@RecSys (2022)
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 (2022)
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)
Pinar Tözün, Felix Naumann, Philippe Bonnet, Xin Luna Dong
VLDB 2021: Designing a Hybrid Conference. CoRR (2022)
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)
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 (2021)
Zhengbao Jiang, Jialong Han, Bunyamin Sisman, Xin Luna Dong
CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction. ACL/IJCNLP (1) (2021)
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)
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)
Daheng Wang, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Xin Luna Dong, Meng Jiang
TCN: Table Convolutional Network for Web Table Interpretation. WWW (2021)
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)
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)
Zhengbao Jiang, Jialong Han, Bunyamin Sisman, Xin Luna Dong
CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction. CoRR (2021)
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 (2021)
Di Jin, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Danai Koutra
Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation. CoRR (2021)
Nasser Zalmout, Chenwei Zhang, Xian Li, Yan Liang, Xin Luna Dong
All You Need to Know to Build a Product Knowledge Graph. KDD (2021)
Xinyang Zhang, Chenwei Zhang, Xin Luna Dong, Jingbo Shang, Jiawei Han
Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks. CoRR (2021)
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) (2021)
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) (2021)
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)
Xin Luna Dong, Felix Naumann
Front Matter. Proc. VLDB Endow. 14 (12) (2021)
Philippe Bonnet, Xin Luna Dong, Felix Naumann, Pinar Tözün
VLDB 2021: Designing a Hybrid Conference. SIGMOD Rec. 50 (4) (2021)
Daheng Wang, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Xin Luna Dong, Meng Jiang
TCN: Table Convolutional Network for Web Table Interpretation. CoRR (2021)
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 (2021)
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)
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)
Xin Luna Dong, Felix Naumann
Front Matter. Proc. VLDB Endow. 14 (1) (2020)
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)
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)
Giannis Karamanolakis, Jun Ma, Xin Luna Dong
TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories. ACL (2020)
Zhengyang Wang, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Shuiwang Ji
CorDEL: A Contrastive Deep Learning Approach for Entity Linkage. ICDM (2020)
Colin Lockard, Prashant Shiralkar, Xin Luna Dong, Hannaneh Hajishirzi
Web-scale Knowledge Collection. WSDM (2020)
Giannis Karamanolakis, Jun Ma, Xin Luna Dong
TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories. CoRR (2020)
Namyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong
J-Recs: Principled and Scalable Recommendation Justification. CoRR (2020)
Wei Zhang, Hao Wei, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, David Page
AutoBlock: A Hands-off Blocking Framework for Entity Matching. WSDM (2020)
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)
Zhengyang Wang, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Shuiwang Ji
CorDEL: A Contrastive Deep Learning Approach for Entity Linkage. CoRR (2020)
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 (2020)
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)
Xin Luna Dong
Ceres: Harvesting Knowledge from the Semi-structured Web. CIKM (2020)
Colin Lockard, Prashant Shiralkar, Xin Luna Dong, Hannaneh Hajishirzi
ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages. ACL (2020)
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 (2020)
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)
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)
Colin Lockard, Prashant Shiralkar, Xin Luna Dong, Hannaneh Hajishirzi
ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages. CoRR (2020)
Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han
Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. CoRR (2020)
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)
Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals. CoRR (2020)
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) (2020)
Namyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong
J-Recs: Principled and Scalable Recommendation Justification. ICDM (2020)
Dongxu Zhang, Subhabrata Mukherjee, Colin Lockard, Xin Luna Dong, Andrew McCallum
OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference. CoRR (2019)
Xin Luna Dong
Building a Broad Knowledge Graph for Products. ICDE (2019)
Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. CoRR (2019)
Xiaolan Wang, Xin Luna Dong, Yang Li, Alexandra Meliou
MIDAS: Finding the Right Web Sources to Fill Knowledge Gaps. ICDE (2019)
Junyang Gao, Xian Li, Yifan Ethan Xu, Bunyamin Sisman, Xin Luna Dong, Jun Yang
Efficient Knowledge Graph Accuracy Evaluation. CoRR (2019)
Wei Zhang, Hao Wei, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, David Page
AutoBlock: A Hands-off Blocking Framework for Entity Matching. CoRR (2019)
Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. KDD (2019)
Xin Luna Dong, Theodoros Rekatsinas
Data Integration and Machine Learning: A Natural Synergy. KDD (2019)
Colin Lockard, Prashant Shiralkar, Xin Luna Dong
OpenCeres: When Open Information Extraction Meets the Semi-Structured Web. NAACL-HLT (1) (2019)
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)
Junyang Gao, Xian Li, Yifan Ethan Xu, Bunyamin Sisman, Xin Luna Dong, Jun Yang
Efficient Knowledge Graph Accuracy Evaluation. Proc. VLDB Endow. 12 (11) (2019)
Colin Lockard, Xin Luna Dong, Prashant Shiralkar, Arash Einolghozati
CERES: Distantly Supervised Relation Extraction from the Semi-Structured Web. Proc. VLDB Endow. 11 (10) (2018)
Guineng Zheng, Subhabrata Mukherjee, Xin Luna Dong, Feifei Li
OpenTag: Open Attribute Value Extraction from Product Profiles. KDD (2018)
Guineng Zheng, Subhabrata Mukherjee, Xin Luna Dong, Feifei Li
OpenTag: Open Attribute Value Extraction from Product Profiles. CoRR (2018)
Xin Luna Dong
Challenges and Innovations in Building a Product Knowledge Graph. KDD (2018)
Rakshit Trivedi, Bunyamin Sisman, Jun Ma, Christos Faloutsos, Hongyuan Zha, Xin Luna Dong
LinkNBed: Multi-Graph Representation Learning with Entity Linkage. CoRR (2018)
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) (2018)
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)
Xin Luna Dong, Theodoros Rekatsinas
Data Integration and Machine Learning: A Natural Synergy. SIGMOD Conference (2018)
Colin Lockard, Xin Luna Dong, Arash Einolghozati, Prashant Shiralkar
CERES: Distantly Supervised Relation Extraction from the Semi-Structured Web. CoRR (2018)
Rakshit Trivedi, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, Jun Ma, Hongyuan Zha
LinkNBed: Multi-Graph Representation Learning with Entity Linkage. ACL (1) (2018)
Xin Luna Dong
Challenges and innovations in building a product knowledge graph: extended abstract. GRADES/NDA@SIGMOD/PODS (2018)
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) (2017)
Furong Li, Xin Luna Dong, Anno Langen, Yang Li
Discovering Multiple Truths with a Hybrid Model. CoRR (2017)
Furong Li, Xin Luna Dong, Anno Langen, Yang Li
Knowledge Verification for LongTail Verticals. Proc. VLDB Endow. 10 (11) (2017)
Theodoros Rekatsinas, Amol Deshpande, Xin Luna Dong, Lise Getoor, Divesh Srivastava
SourceSight: Enabling Effective Source Selection. SIGMOD Conference (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xin Luna Dong