Xin Luna Dong - RankMe

205 papers A* 34A 11B 1Journal 107Unranked 38

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Knowledge Extraction on Semi-Structured Content: Does It Remain Relevant for Question Answering in the Era of LLMs? EACL (Volume 1: Long Papers) Kai Sun, Yin Huang, Srishti Mehra, Mohammad Kachuee, Xilun Chen, Renjie Tao, Zhaojiang Lin, Andrea Jessee, Nirav Shah, Alex Betty, Yue Liu, Anuj Kumar, Wen-tau Yih, Xin Luna Dong
2026	J	`jnl`	Pixel-Grounded Retrieval for Knowledgeable Large Multimodal Models. CoRR Jeonghwan Kim, Renjie Tao, Sanat Sharma, Jiaqi Wang, Kai Sun, Zhaojiang Lin, Seungwhan Moon, Lambert Mathias, Anuj Kumar, Heng Ji, Xin Luna Dong
2026	—	`conf`	VideoMind: Thinking in Steps for Long Video Understanding. EACL (Industry Track) Shubhang Bhatnagar, Renxiong Wang, Kapil Krishnakumar, Adel Ahmadyan, Zhaojiang Lin, Lambert Mathias, Xin Luna Dong, Babak Damavandi, Narendra Ahuja, Seungwhan Moon
2026	J	`jnl`	WearVox: An Egocentric Multichannel Voice Assistant Benchmark for Wearables. CoRR Zhaojiang Lin, Yong Xu, Kai Sun, Jing Zheng, Yin Huang, Surya Teja Appini, Krish Narang, Renjie Tao, Ishan Kapil Jain, Siddhant Arora, Ruizhi Li, Yiteng Huang, Kaushik Patnaik, Wenfang Xu, Suwon Shon, Yue Liu, Ahmed Aly, Anuj Kumar, Florian Metze, Xin Luna Dong
2025	J	`jnl`	AssoMem: Scalable Memory QA with Multi-Signal Associative Retrieval. CoRR Kai Zhang, Xinyuan Zhang, Ejaz Ahmed, Hongda Jiang, Caleb Kumar, Kai Sun, Zhaojiang Lin, Sanat Sharma, Shereen Oraby, Aaron Colak, Ahmed Aly, Anuj Kumar, Xiaozhong Liu, Xin Luna Dong
2025	J	`jnl`	CRAG-MM: Multi-modal Multi-turn Comprehensive RAG Benchmark. CoRR Jiaqi Wang, Xiao Yang, Kai Sun, Parth Suresh, Sanat Sharma, Adam Czyzewski, Derek Andersen, Surya Teja Appini, Arkav Banerjee, Sajal Choudhary, Shervin Ghasemlou, Ziqiang Guan, Akil Iyer, Haidar Khan, Lingkun Kong, Roy Luo, Tiffany Ma, Zhen Qiao, David Tran, Wenfang Xu, Skyler Yeatman, Chen Zhou, Gunveer Gujral, Yinglong Xia, Shane Moon, Nicolas Scheffer, Nirav Shah, Eun Chang, Yue Liu, Florian Metze, Tammy Stark, Zhaleh Feizollahi, Andrea Jessee, Mangesh Pujari, Ahmed Aly, Babak Damavandi, Rakesh Wanga, Anuj Kumar, Rohit Patel, Wen-tau Yih, Xin Luna Dong
2025	J	`jnl`	ConfQA: Answer Only If You Are Confident. CoRR Yin Huang, Yifan Ethan Xu, Kai Sun, Vera Yan, Alicia Sun, Haidar Khan, Jimmy Nguyen, Mohammad Kachuee, Zhaojiang Lin, Yue Liu, Aaron Colak, Anuj Kumar, Wen-tau Yih, Xin Luna Dong
2025	A	`conf`	Corgi: Cached Memory Guided Video Generation. WACV Xindi Wu, Uriel Singer, Zhaojiang Lin, Andrea Madotto, Xide Xia, Yifan Xu, Paul A. Crook, Xin Luna Dong, Seungwhan Moon
2025	J	`jnl`	Front Matter. Proc. VLDB Endow. Matthias Boehm, Reynold Cheng, Xin Luna Dong, Themis Palpanas, Nesime Tatbul
2025	—	`conf`	KERAG: Knowledge-Enhanced Retrieval-Augmented Generation for Advanced Question Answering. EMNLP (Findings) Yushi Sun, Kai Sun, Yifan Ethan Xu, Xiao Yang, Xin Luna Dong, Nan Tang, Lei Chen
2025	J	`jnl`	KERAG: Knowledge-Enhanced Retrieval-Augmented Generation for Advanced Question Answering. CoRR Yushi Sun, Kai Sun, Yifan Ethan Xu, Xiao Yang, Xin Luna Dong, Nan Tang, Lei Chen
2025	J	`jnl`	Knowledge Extraction on Semi-Structured Content: Does It Remain Relevant for Question Answering in the Era of LLMs? CoRR Kai Sun, Yin Huang, Srishti Mehra, Mohammad Kachuee, Xilun Chen, Renjie Tao, Zhaojiang Lin, Andrea Jessee, Nirav Shah, Alex Betty, Yue Liu, Anuj Kumar, Wen-tau Yih, Xin Luna Dong
2025	J	`jnl`	Large Language Models, Knowledge Graphs and Search Engines: A Crossroads for Answering Users' Questions. CoRR Aidan Hogan, Xin Luna Dong, Denny Vrandecic, Gerhard Weikum
2025	A*	`conf`	Memory-QA: Answering Recall Questions Based on Multimodal Memories. EMNLP Hongda Jiang, Xinyuan Zhang, Siddhant Garg, Rishab Arora, Shiunzu Kuo, Jiayang Xu, Aaron Colak, Xin Luna Dong
2025	J	`jnl`	Memory-QA: Answering Recall Questions Based on Multimodal Memories. CoRR Hongda Jiang, Xinyuan Zhang, Siddhant Garg, Rishab Arora, Shiunzu Kuo, Jiayang Xu, Ankur Bansal, Christopher Brossman, Yue Liu, Aaron Colak, Ahmed Aly, Anuj Kumar, Xin Luna Dong
2025	—	`conf`	PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning. EMNLP (Industry Track) Mohammad Kachuee, Teja Gollapudi, Minseok Kim, Yin Huang, Kai Sun, Xiao Yang, Jiaqi Wang, Nirav Shah, Yue Liu, Aaron Colak, Anuj Kumar, Wen-tau Yih, Xin Luna Dong
2025	J	`jnl`	PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning. CoRR Mohammad Kachuee, Teja Gollapudi, Minseok Kim, Yin Huang, Kai Sun, Xiao Yang, Jiaqi Wang, Nirav Shah, Yue Liu, Aaron Colak, Anuj Kumar, Wen-tau Yih, Xin Luna Dong
2025	A*	`conf`	Proactive Assistant Dialogue Generation from Streaming Egocentric Videos. EMNLP Yichi Zhang, Xin Luna Dong, Zhaojiang Lin, Andrea Madotto, Anuj Kumar, Babak Damavandi, Joyce Chai, Seungwhan Moon
2025	J	`jnl`	Proactive Assistant Dialogue Generation from Streaming Egocentric Videos. CoRR Yichi Zhang, Xin Luna Dong, Zhaojiang Lin, Andrea Madotto, Anuj Kumar, Babak Damavandi, Joyce Chai, Seungwhan Moon
2025	J	`jnl`	SCRIBES: Web-Scale Script-Based Semi-Structured Data Extraction with Reinforcement Learning. CoRR Shicheng Liu, Kai Sun, Lisheng Fu, Xilun Chen, Xinyuan Zhang, Zhaojiang Lin, Rulin Shao, Yue Liu, Anuj Kumar, Wen-tau Yih, Xin Luna Dong
2025	J	`jnl`	Stream RAG: Instant and Accurate Spoken Dialogue Systems with Streaming Tool Usage. CoRR Siddhant Arora, Haidar Khan, Kai Sun, Xin Luna Dong, Sajal Choudhary, Seungwhan Moon, Xinyuan Zhang, Adithya Sagar, Surya Teja Appini, Kaushik Patnaik, Sanat Sharma, Shinji Watanabe, Anuj Kumar, Ahmed Aly, Yue Liu, Florian Metze, Zhaojiang Lin
2025	J	`jnl`	The Cambridge Report on Database Research. CoRR Anastasia Ailamaki, Samuel Madden, Daniel Abadi, Gustavo Alonso, Sihem Amer-Yahia, Magdalena Balazinska, Philip A. Bernstein, Peter Boncz, Michael J. Cafarella, Surajit Chaudhuri, Susan B. Davidson, David J. DeWitt, Yanlei Diao, Xin Luna Dong, Michael J. Franklin, Juliana Freire, Johannes Gehrke, Alon Y. Halevy, Joseph M. Hellerstein, Mark D. Hill, Stratos Idreos, Yannis E. Ioannidis, Christoph Koch, Donald Kossmann, Tim Kraska, Arun Kumar, Guoliang Li, Volker Markl, Renée J. Miller, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Aditya G. Parameswaran, Ippokratis Pandis, Jignesh M. Patel, Andrew Pavlo, Danica Porobic, Viktor Sanca, Michael Stonebraker, Julia Stoyanovich, Dan Suciu, Wang-Chiew Tan, Shivaram Venkataraman, Matei Zaharia, Stanley B. Zdonik
2025	J	`jnl`	TruthRL: Incentivizing Truthful LLMs via Reinforcement Learning. CoRR Zhepei Wei, Xiao Yang, Kai Sun, Jiaqi Wang, Rulin Shao, Sean Chen, Mohammad Kachuee, Teja Gollapudi, Tony Liao, Nicolas Scheffer, Rakesh Wanga, Anuj Kumar, Yu Meng, Wen-tau Yih, Xin Luna Dong
2025	J	`jnl`	WearVQA: A Visual Question Answering Benchmark for Wearables in Egocentric Authentic Real-world scenarios. CoRR Eun Chang, Zhuangqun Huang, Yiwei Liao, Sagar Ravi Bhavsar, Amogh Param, Tammy Stark, Adel Ahmadyan, Xiao Yang, Jiaqi Wang, Ahsan Abdullah, Giang Nguyen, Akil Iyer, David Hall, Elissa Li, Shane Moon, Nicolas Scheffer, Kirmani Ahmed, Babak Damavandi, Rakesh Wanga, Anuj Kumar, Rohit Patel, Xin Luna Dong
2024	J	`jnl`	Aligning Generalisation Between Humans and Machines. CoRR Filip Ilievski, Barbara Hammer, Frank van Harmelen, Benjamin Paassen, Sascha Saralajew, Ute Schmid, Michael Biehl, Marianna Bolognesi, Xin Luna Dong, Kiril Gashteovski, Pascal Hitzler, Giuseppe Marra, Pasquale Minervini, Martin Mundt, Axel-Cyrille Ngonga Ngomo, Alessandro Oltramari, Gabriella Pasi, Zeynep G. Saribatur, Luciano Serafini, John Shawe-Taylor, Vered Shwartz, Gabriella Skitalinskaya, Clemens Stachl, Gido M. van de Ven, Thomas Villmann
2024	J	`jnl`	Are Large Language Models a Good Replacement of Taxonomies? CoRR Yushi Sun, Hao Xin, Kai Sun, Yifan Ethan Xu, Xiao Yang, Xin Luna Dong, Nan Tang, Lei Chen
2024	J	`jnl`	Are Large Language Models a Good Replacement of Taxonomies? Proc. VLDB Endow. Yushi Sun, Xin Hao, Kai Sun, Yifan Xu, Xiao Yang, Xin Luna Dong, Nan Tang, Lei Chen
2024	J	`jnl`	CRAG - Comprehensive RAG Benchmark. CoRR 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
2024	—	`conf`	Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs? NAACL-HLT Kai Sun, Yifan Ethan Xu, Hanwen Zha, Yue Liu, Xin Luna Dong
2024	J	`jnl`	KDD Cup CRAG competition: Systems, Findings and Learnings. IEEE Data Eng. Bull. Xiao Yang, Yifan Ethan Xu, Kai Sun, Jiaqi Wang, Lingkun Kong, Wen-tau Yih, Xin Luna Dong
2024	J	`jnl`	Large Language Models as Zero-shot Dialogue State Tracker through Function Calling. CoRR Zekun Li, Zhiyu Zoey Chen, Mike Ross, Patrick Huber, Seungwhan Moon, Zhaojiang Lin, Xin Luna Dong, Adithya Sagar, Xifeng Yan, Paul A. Crook
2024	J	`jnl`	Letter from the Special Issue Editor. IEEE Data Eng. Bull. Xin Luna Dong, Meng Jiang, Kai Sun, Xiao Yang
2024	J	`jnl`	Lumos : Empowering Multimodal LLMs with Scene Text Recognition. CoRR 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
2024	A*	`conf`	Lumos: Empowering Multimodal LLMs with Scene Text Recognition. KDD 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
2024	A*	`conf`	Next-generation Intelligent Assistants for Wearable Devices. KDD Xin Luna Dong
2024	J	`jnl`	SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM. CoRR Jielin Qiu, Andrea Madotto, Zhaojiang Lin, Paul A. Crook, Yifan Ethan Xu, Xin Luna Dong, Christos Faloutsos, Lei Li, Babak Damavandi, Seungwhan Moon
2024	A	`conf`	The Journey to A Knowledgeable Assistant with Retrieval-Augmented Generation (RAG). WSDM Xin Luna Dong
2024	—	`conf`	The Journey to a Knowledgeable Assistant with Retrieval-Augmented Generation (RAG). SIGMOD Conference Companion Xin Luna Dong
2024	J	`jnl`	VisualLens: Personalization through Visual History. CoRR Wang Bill Zhu, Deqing Fu, Kai Sun, Yi Lu, Zhaojiang Lin, Seungwhan Moon, Kanika Narang, Mustafa Canim, Yue Liu, Anuj Kumar, Xin Luna Dong
2023	J	`jnl`	Editorial: Special Issue for Selected Papers of VLDB 2021. VLDB J. Felix Naumann, Xin Luna Dong
2023	J	`jnl`	Generations of Knowledge Graphs: The Crazy Ideas and the Business Impact. CoRR Xin Luna Dong
2023	J	`jnl`	Generations of Knowledge Graphs: The Crazy Ideas and the Business Impact. Proc. VLDB Endow. Xin Luna Dong
2023	J	`jnl`	Head-to-Tail: How Knowledgeable are Large Language Models (LLM)? A.K.A. Will LLMs Replace Knowledge Graphs? CoRR Kai Sun, Yifan Ethan Xu, Hanwen Zha, Yue Liu, Xin Luna Dong
2023	J	`jnl`	Letter from the Special Issue Editor. IEEE Data Eng. Bull. Xin Luna Dong, Alon Y. Halevy, Shane Moon
2023	—	`conf`	Next-Generation Intelligent Assistants for AR/VR Devices. EGC Xin Luna Dong
2023	—	`conf`	Personal Data for Personal Use: Vision or Reality? SIGMOD Conference Companion Xin Luna Dong, Bo Li, Julia Stoyanovich, Anthony Kum Hoe Tung, Gerhard Weikum, Alon Y. Halevy, Wang-Chiew Tan
2023	—	`conf`	Tab-Cleaner: Weakly Supervised Tabular Data Cleaning via Pre-training for E-commerce Catalog. ACL (industry) Kewei Cheng, Xian Li, Zhengyang Wang, Chenwei Zhang, Binxuan Huang, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun
2023	A*	`conf`	Towards Next-Generation Intelligent Assistants Leveraging LLM Techniques. KDD Xin Luna Dong, Seungwhan Moon, Yifan Ethan Xu, Kshitiz Malik, Zhou Yu
2023	—	`conf`	Tutorials at The Web Conference 2023. WWW (Companion Volume) 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 R. 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
2022	J	`jnl`	ACM WSDM 2022 report. SIGWEB Newsl. K. Selçuk Candan, Huan Liu, Leman Akoglu, Xin Luna Dong, Jiliang Tang, Andrew Tomkins
2022	J	`jnl`	Knowledge Graphs: Introduction, History and, Perspectives. AI Mag. 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
2022	—	`conf`	Next-Generation Intelligent Assistants for AR/VR Devices. KaRS@RecSys Xin Luna Dong
2022	A*	`conf`	OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision. WWW Xinyang Zhang, Chenwei Zhang, Xian Li, Xin Luna Dong, Jingbo Shang, Christos Faloutsos, Jiawei Han
2022	J	`jnl`	OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision. CoRR Xinyang Zhang, Chenwei Zhang, Xian Li, Xin Luna Dong, Jingbo Shang, Christos Faloutsos, Jiawei Han
2022	J	`jnl`	PGE: Robust Product Graph Embedding Learning for Error Detection. CoRR Kewei Cheng, Xian Li, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun
2022	J	`jnl`	PGE: Robust Product Graph Embedding Learning for Error Detection. Proc. VLDB Endow. Kewei Cheng, Xian Li, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun
2022	—	`conf`	Publication Culture and Review Processes in the Data Management Community: An Open Discussion. SIGMOD Conference Sihem Amer-Yahia, Sourav S. Bhowmick, Xin Luna Dong, Stratos Idreos, Wolfgang Lehner, Divesh Srivastava
2022	J	`jnl`	VLDB 2021: Designing a Hybrid Conference. CoRR Pinar Tözün, Felix Naumann, Philippe Bonnet, Xin Luna Dong
2022	A	`ed.`	WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022 WSDM K. Selcuk Candan, Huan Liu, Leman Akoglu, Xin Luna Dong, Jiliang Tang
2021	—	`conf`	AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding. ACL/IJCNLP (1) Jun Yan, Nasser Zalmout, Yan Liang, Christan Grant, Xiang Ren, Xin Luna Dong
2021	J	`jnl`	AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding. CoRR Jun Yan, Nasser Zalmout, Yan Liang, Christan Grant, Xiang Ren, Xin Luna Dong
2021	A*	`conf`	All You Need to Know to Build a Product Knowledge Graph. KDD Nasser Zalmout, Chenwei Zhang, Xian Li, Yan Liang, Xin Luna Dong
2021	—	`conf`	CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction. ACL/IJCNLP (1) Zhengbao Jiang, Jialong Han, Bunyamin Sisman, Xin Luna Dong
2021	J	`jnl`	CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction. CoRR Zhengbao Jiang, Jialong Han, Bunyamin Sisman, Xin Luna Dong
2021	J	`jnl`	Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation. CoRR Di Jin, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Danai Koutra
2021	J	`jnl`	Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation. Proc. VLDB Endow. Di Jin, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Danai Koutra
2021	A	`conf`	EX3: Explainable Attribute-aware Item-set Recommendations. RecSys Yikun Xian, Tong Zhao, Jin Li, Jim Chan, Andrey Kan, Jun Ma, Xin Luna Dong, Christos Faloutsos, George Karypis, S. Muthukrishnan, Yongfeng Zhang
2021	—	`conf`	End-to-End Conversational Search for Online Shopping with Utterance Transfer. EMNLP (1) Liqiang Xiao, Jun Ma, Xin Luna Dong, Pascual Martínez-Gómez, Nasser Zalmout, Wei Chen, Tong Zhao, Hao He, Yaohui Jin
2021	J	`jnl`	End-to-End Conversational Search for Online Shopping with Utterance Transfer. CoRR Liqiang Xiao, Jun Ma, Xin Luna Dong, Pascual Martínez-Gómez, Nasser Zalmout, Wei Chen, Tong Zhao, Hao He, Yaohui Jin
2021	J	`jnl`	Front Matter. Proc. VLDB Endow. Xin Luna Dong, Felix Naumann
2021	J	`jnl`	Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases. Found. Trends Databases Gerhard Weikum, Xin Luna Dong, Simon Razniewski, Fabian M. Suchanek
2021	A*	`conf`	Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks. WWW Xinyang Zhang, Chenwei Zhang, Xin Luna Dong, Jingbo Shang, Jiawei Han
2021	J	`jnl`	Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks. CoRR Xinyang Zhang, Chenwei Zhang, Xin Luna Dong, Jingbo Shang, Jiawei Han
2021	A*	`conf`	PAM: Understanding Product Images in Cross Product Category Attribute Extraction. KDD Rongmei Lin, Xiang He, Jie Feng, Nasser Zalmout, Yan Liang, Li Xiong, Xin Luna Dong
2021	J	`jnl`	PAM: Understanding Product Images in Cross Product Category Attribute Extraction. CoRR Rongmei Lin, Xiang He, Jie Feng, Nasser Zalmout, Yan Liang, Li Xiong, Xin Luna Dong
2021	A*	`conf`	TCN: Table Convolutional Network for Web Table Interpretation. WWW Daheng Wang, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Xin Luna Dong, Meng Jiang
2021	J	`jnl`	TCN: Table Convolutional Network for Web Table Interpretation. CoRR Daheng Wang, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Xin Luna Dong, Meng Jiang
2021	A	`conf`	The 1st International Workshop on Machine Reasoning: International Machine Reasoning Conference (MRC 2021). WSDM Yongfeng Zhang, Min Zhang, Hanxiong Chen, Xu Chen, Xianjie Chen, Chuang Gan, Tong Sun, Xin Luna Dong
2021	J	`jnl`	VLDB 2021: Designing a Hybrid Conference. SIGMOD Rec. Philippe Bonnet, Xin Luna Dong, Felix Naumann, Pinar Tözün
2020	A	`conf`	AutoBlock: A Hands-off Blocking Framework for Entity Matching. WSDM Wei Zhang, Hao Wei, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, David Page
2020	A*	`conf`	AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. KDD 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
2020	J	`jnl`	AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. CoRR 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
2020	A*	`conf`	Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data. KDD Yaqing Wang, Yifan Ethan Xu, Xian Li, Xin Luna Dong, Jing Gao
2020	J	`jnl`	Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data. CoRR Yaqing Wang, Yifan Ethan Xu, Xian Li, Xin Luna Dong, Jing Gao
2020	A	`conf`	Ceres: Harvesting Knowledge from the Semi-structured Web. CIKM Xin Luna Dong
2020	A*	`conf`	Collective Multi-type Entity Alignment Between Knowledge Graphs. WWW Qi Zhu, Hao Wei, Bunyamin Sisman, Da Zheng, Christos Faloutsos, Xin Luna Dong, Jiawei Han
2020	—	`conf`	Contrastive Entity Linkage: Mining Variational Attributes from Large Catalogs for Entity Linkage. AKBC Varun Embar, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Christos Faloutsos, Lise Getoor
2020	A*	`conf`	CorDEL: A Contrastive Deep Learning Approach for Entity Linkage. ICDM Zhengyang Wang, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Shuiwang Ji
2020	J	`jnl`	CorDEL: A Contrastive Deep Learning Approach for Entity Linkage. CoRR Zhengyang Wang, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Shuiwang Ji
2020	J	`jnl`	Front Matter. Proc. VLDB Endow. Xin Luna Dong, Felix Naumann
2020	A*	`conf`	J-Recs: Principled and Scalable Recommendation Justification. ICDM Namyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong
2020	J	`jnl`	J-Recs: Principled and Scalable Recommendation Justification. CoRR Namyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong
2020	—	`conf`	Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web. ACL (tutorial) Xin Luna Dong, Hannaneh Hajishirzi, Colin Lockard, Prashant Shiralkar
2020	A*	`conf`	Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web. KDD Xin Luna Dong, Hannaneh Hajishirzi, Colin Lockard, Prashant Shiralkar
2020	A*	`conf`	MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals. KDD Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos
2020	J	`jnl`	MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals. CoRR Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos
2020	A*	`conf`	Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. KDD Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han
2020	J	`jnl`	Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. CoRR Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han
2020	A	`conf`	P-Companion: A Principled Framework for Diversified Complementary Product Recommendation. CIKM Junheng Hao, Tong Zhao, Jin Li, Xin Luna Dong, Christos Faloutsos, Yizhou Sun, Wei Wang
2020	—	`ed.`	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. DI2KG@VLDB Federico Piai, Donatella Firmani, Valter Crescenzi, Andrea De Angelis, Xin Luna Dong, Maurizio Mazzei, Paolo Merialdo, Divesh Srivastava
2020	A*	`conf`	TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories. ACL Giannis Karamanolakis, Jun Ma, Xin Luna Dong
2020	J	`jnl`	TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories. CoRR Giannis Karamanolakis, Jun Ma, Xin Luna Dong
2020	A	`conf`	Web-scale Knowledge Collection. WSDM Colin Lockard, Prashant Shiralkar, Xin Luna Dong, Hannaneh Hajishirzi
2020	J	`jnl`	Winds from Seattle: Database Research Directions. Proc. VLDB Endow. Peter Bailis, Magda Balazinska, Xin Luna Dong, Juliana Freire, Raghu Ramakrishnan, Michael Stonebraker, Joseph M. Hellerstein
2020	A*	`conf`	ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages. ACL Colin Lockard, Prashant Shiralkar, Xin Luna Dong, Hannaneh Hajishirzi
2020	J	`jnl`	ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages. CoRR Colin Lockard, Prashant Shiralkar, Xin Luna Dong, Hannaneh Hajishirzi
2019	J	`jnl`	AutoBlock: A Hands-off Blocking Framework for Entity Matching. CoRR Wei Zhang, Hao Wei, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, David Page
2019	A*	`conf`	Building a Broad Knowledge Graph for Products. ICDE Xin Luna Dong
2019	A*	`conf`	Data Integration and Machine Learning: A Natural Synergy. KDD Xin Luna Dong, Theodoros Rekatsinas
2019	J	`jnl`	Efficient Knowledge Graph Accuracy Evaluation. CoRR Junyang Gao, Xian Li, Yifan Ethan Xu, Bunyamin Sisman, Xin Luna Dong, Jun Yang
2019	J	`jnl`	Efficient Knowledge Graph Accuracy Evaluation. Proc. VLDB Endow. Junyang Gao, Xian Li, Yifan Ethan Xu, Bunyamin Sisman, Xin Luna Dong, Jun Yang
2019	A*	`conf`	Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. KDD Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos
2019	J	`jnl`	Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. CoRR Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos
2019	A*	`conf`	MIDAS: Finding the Right Web Sources to Fill Knowledge Gaps. ICDE Xiaolan Wang, Xin Luna Dong, Yang Li, Alexandra Meliou
2019	—	`conf`	OpenCeres: When Open Information Extraction Meets the Semi-Structured Web. NAACL-HLT (1) Colin Lockard, Prashant Shiralkar, Xin Luna Dong
2019	—	`conf`	OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference. NAACL-HLT (1) Dongxu Zhang, Subhabrata Mukherjee, Colin Lockard, Xin Luna Dong, Andrew McCallum
2019	J	`jnl`	OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference. CoRR Dongxu Zhang, Subhabrata Mukherjee, Colin Lockard, Xin Luna Dong, Andrew McCallum
2019	—	`ed.`	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. DI2KG@KDD Donatella Firmani, Valter Crescenzi, Andrea De Angelis, Xin Luna Dong, Maurizio Mazzei, Paolo Merialdo, Divesh Srivastava
2018	J	`jnl`	Big Data Integration for Product Specifications. IEEE Data Eng. Bull. Luciano Barbosa, Valter Crescenzi, Xin Luna Dong, Paolo Merialdo, Federico Piai, Disheng Qiu, Yanyan Shen, Divesh Srivastava
2018	J	`jnl`	CERES: Distantly Supervised Relation Extraction from the Semi-Structured Web. CoRR Colin Lockard, Xin Luna Dong, Arash Einolghozati, Prashant Shiralkar
2018	J	`jnl`	CERES: Distantly Supervised Relation Extraction from the Semi-Structured Web. Proc. VLDB Endow. Colin Lockard, Xin Luna Dong, Prashant Shiralkar, Arash Einolghozati
2018	A*	`conf`	Challenges and Innovations in Building a Product Knowledge Graph. KDD Xin Luna Dong
2018	—	`conf`	Challenges and innovations in building a product knowledge graph: extended abstract. GRADES/NDA@SIGMOD/PODS Xin Luna Dong
2018	—	`ch.`	Data Fusion. Encyclopedia of Database Systems (2nd ed.) Xin Luna Dong, Divesh Srivastava
2018	—	`conf`	Data Integration and Machine Learning: A Natural Synergy. SIGMOD Conference Xin Luna Dong, Theodoros Rekatsinas
2018	—	`ch.`	Entity Resolution. Encyclopedia of Database Systems (2nd ed.) Xin Luna Dong, Divesh Srivastava
2018	—	`conf`	Lessons Learned and Research Agenda for Big Data Integration of Product Specifications. SEBD Luciano Barbosa, Valter Crescenzi, Xin Luna Dong, Paolo Merialdo, Federico Piai, Disheng Qiu, Yanyan Shen, Divesh Srivastava
2018	—	`conf`	LinkNBed: Multi-Graph Representation Learning with Entity Linkage. ACL (1) Rakshit S. Trivedi, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, Jun Ma, Hongyuan Zha
2018	J	`jnl`	LinkNBed: Multi-Graph Representation Learning with Entity Linkage. CoRR Rakshit S. Trivedi, Bunyamin Sisman, Jun Ma, Christos Faloutsos, Hongyuan Zha, Xin Luna Dong
2018	—	`ch.`	Managing Data Integration Uncertainty. Encyclopedia of Database Systems (2nd ed.) Xin Luna Dong, Alon Y. Halevy
2018	A*	`conf`	OpenTag: Open Attribute Value Extraction from Product Profiles. KDD Guineng Zheng, Subhabrata Mukherjee, Xin Luna Dong, Feifei Li
2018	J	`jnl`	OpenTag: Open Attribute Value Extraction from Product Profiles. CoRR Guineng Zheng, Subhabrata Mukherjee, Xin Luna Dong, Feifei Li
2018	—	`ch.`	XML Indexing. Encyclopedia of Database Systems (2nd ed.) Xin Luna Dong, Divesh Srivastava
2017	J	`jnl`	Data Quality: The Role of Empiricism. SIGMOD Rec. Shazia Sadiq, Tamraparni Dasu, Xin Luna Dong, Juliana Freire, Ihab F. Ilyas, Sebastian Link, Renée J. Miller, Felix Naumann, Xiaofang Zhou, Divesh Srivastava
2017	J	`jnl`	Discovering Multiple Truths with a Hybrid Model. CoRR Furong Li, Xin Luna Dong, Anno Langen, Yang Li
2017	—	`ed.`	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 HybridSemStats@ISWC 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 Witbrock
2017	J	`jnl`	Knowledge Verification for LongTail Verticals. Proc. VLDB Endow. Furong Li, Xin Luna Dong, Anno Langen, Yang Li
2016	J	`jnl`	A Time Machine for Information: Looking Back to Look Forward. SIGMOD Rec. Xin Luna Dong, Anastasios Kementsietsidis, Wang-Chiew Tan
2016	J	`jnl`	Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources. IEEE Data Eng. Bull. Xin Luna Dong, Evgeniy Gabrilovich, Kevin Murphy, Van Dang, Wilko Horn, Camillo Lugaresi, Shaohua Sun, Wei Zhang
2016	J	`jnl`	Leave No Valuable Data Behind: The Crazy Ideas and the Business. Proc. VLDB Endow. Xin Luna Dong
2016	A*	`conf`	Mining Summaries for Knowledge Graph Search. ICDM Qi Song, Yinghui Wu, Xin Luna Dong
2016	—	`conf`	SourceSight: Enabling Effective Source Selection. SIGMOD Conference Theodoros Rekatsinas, Amol Deshpande, Xin Luna Dong, Lise Getoor, Divesh Srivastava
2015	J	`jnl`	A Time Machine for Information: Looking Back to Look Forward. Proc. VLDB Endow. Xin Luna Dong, Wang-Chiew Tan
2015	—	`book`	Big Data Integration Xin Luna Dong, Divesh Srivastava
2015	J	`jnl`	DEXTER: Large-Scale Discovery and Extraction of Product Specifications on the Web. Proc. VLDB Endow. Disheng Qiu, Luciano Barbosa, Xin Luna Dong, Yanyan Shen, Divesh Srivastava
2015	J	`jnl`	Data Fusion: Resolving Conflicts from Multiple Sources. CoRR Xin Luna Dong, Laure Berti-Équille, Divesh Srivastava
2015	—	`conf`	Data X-Ray: A Diagnostic Tool for Data Errors. SIGMOD Conference Xiaolan Wang, Xin Luna Dong, Alexandra Meliou
2015	J	`jnl`	Error Diagnosis and Data Profiling with Data X-Ray. Proc. VLDB Endow. Xiaolan Wang, Mary Feng, Yue Wang, Xin Luna Dong, Alexandra Meliou
2015	A	`conf`	Finding Quality in Quantity: The Challenge of Discovering Valuable Sources for Integration. CIDR Theodoros Rekatsinas, Xin Luna Dong, Lise Getoor, Divesh Srivastava
2015	J	`jnl`	From Data Fusion to Knowledge Fusion. CoRR Xin Luna Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Kevin Murphy, Shaohua Sun, Wei Zhang
2015	J	`jnl`	Fusing Data with Correlations. CoRR Ravali Pochampally, Anish Das Sarma, Xin Luna Dong, Alexandra Meliou, Divesh Srivastava
2015	J	`jnl`	Keys for Graphs. Proc. VLDB Endow. Wenfei Fan, Zhe Fan, Chao Tian, Xin Luna Dong
2015	—	`conf`	Knowledge Curation and Knowledge Fusion: Challenges, Models and Applications. SIGMOD Conference Xin Luna Dong, Divesh Srivastava
2015	J	`jnl`	Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources. CoRR Xin Luna Dong, Evgeniy Gabrilovich, Kevin Murphy, Van Dang, Wilko Horn, Camillo Lugaresi, Shaohua Sun, Wei Zhang
2015	J	`jnl`	Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources. Proc. VLDB Endow. Xin Luna Dong, Evgeniy Gabrilovich, Kevin Murphy, Van Dang, Wilko Horn, Camillo Lugaresi, Shaohua Sun, Wei Zhang
2015	A*	`conf`	Robust Group Linkage. WWW Pei Li, Xin Luna Dong, Songtao Guo, Andrea Maurino, Divesh Srivastava
2015	J	`jnl`	Robust Group Linkage. CoRR Pei Li, Xin Luna Dong, Songtao Guo, Andrea Maurino, Divesh Srivastava
2015	J	`jnl`	Scaling up Copy Detection. CoRR Xian Li, Xin Luna Dong, Kenneth Lyons, Weiyi Meng, Divesh Srivastava
2015	A*	`conf`	Scaling up copy detection. ICDE Xian Li, Xin Luna Dong, Kenneth B. Lyons, Weiyi Meng, Divesh Srivastava
2015	—	`conf`	The elephant in the room: getting value from Big Data. WebDB Serge Abiteboul, Xin Luna Dong, Oren Etzioni, Divesh Srivastava, Gerhard Weikum, Julia Stoyanovich, Fabian M. Suchanek
2015	A*	`conf`	TimeMachine: Timeline Generation for Knowledge-Base Entities. KDD Tim Althoff, Xin Luna Dong, Kevin Murphy, Safa Alai, Van Dang, Wei Zhang
2015	J	`jnl`	TimeMachine: Timeline Generation for Knowledge-Base Entities. CoRR Tim Althoff, Xin Luna Dong, Kevin Murphy, Safa Alai, Van Dang, Wei Zhang
2015	J	`jnl`	Truth Finding on the Deep Web: Is the Problem Solved? CoRR Xian Li, Xin Luna Dong, Kenneth Lyons, Weiyi Meng, Divesh Srivastava
2014	—	`conf`	Characterizing and selecting fresh data sources. SIGMOD Conference Theodoros Rekatsinas, Xin Luna Dong, Divesh Srivastava
2014	J	`jnl`	From Data Fusion to Knowledge Fusion. Proc. VLDB Endow. Xin Luna Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Kevin Murphy, Shaohua Sun, Wei Zhang
2014	—	`conf`	Fusing data with correlations. SIGMOD Conference Ravali Pochampally, Anish Das Sarma, Xin Luna Dong, Alexandra Meliou, Divesh Srivastava
2014	J	`jnl`	Incremental Record Linkage. Proc. VLDB Endow. Anja Gruenheid, Xin Luna Dong, Divesh Srivastava
2013	J	`jnl`	Big Data Integration. Proc. VLDB Endow. Xin Luna Dong, Divesh Srivastava
2013	A*	`conf`	Big data integration. ICDE Xin Luna Dong, Divesh Srivastava
2013	A*	`conf`	Compact explanation of data fusion decisions. WWW Xin Luna Dong, Divesh Srivastava
2013	—	`ch.`	Data Fusion: Resolving Conflicts from Multiple Sources. Handbook of Data Quality Xin Luna Dong, Laure Berti-Équille, Divesh Srivastava
2013	—	`conf`	Data Fusion: Resolving Conflicts from Multiple Sources. WAIM Xin Luna Dong, Laure Berti-Équille, Divesh Srivastava
2013	J	`jnl`	Online Ordering of Overlapping Data Sources. Proc. VLDB Endow. Mariam Salloum, Xin Luna Dong, Divesh Srivastava, Vassilis J. Tsotras
2013	—	`ed.`	Proceedings of the 2013 SIGMOD/PODS Ph.D. Symposium, New York, NY, USA, June 23, 2013 SIGMOD/PODS Ph.D. Symposium Lei Chen, Xin Luna Dong
2013	—	`conf`	SIGMOD 2013 new researcher symposium. SIGMOD Conference Anish Das Sarma, Xin Luna Dong
2012	J	`jnl`	10th international workshop on quality in databases: QDB 2012. SIGMOD Rec. Xin Luna Dong, Eduard Constantin Dragut
2012	J	`jnl`	Chronos: Facilitating History Discovery by Linking Temporal Records. Proc. VLDB Endow. Pei Li, Haidong Wang, Christina Tziviskou, Xin Luna Dong, Xiaoguang Liu, Andrea Maurino, Divesh Srivastava
2012	—	`conf`	Detecting Clones, Copying and Reuse on the Web (DASFAA 2012 Tutorial). DASFAA (2) Xin Luna Dong, Divesh Srivastava
2012	A*	`conf`	Detecting Clones, Copying and Reuse on the Web. ICDE Xin Luna Dong, Divesh Srivastava
2012	J	`jnl`	Less is More: Selecting Sources Wisely for Integration. Proc. VLDB Endow. Xin Luna Dong, Barna Saha, Divesh Srivastava
2012	J	`jnl`	Linking temporal records. Frontiers Comput. Sci. Pei Li, Xin Luna Dong, Andrea Maurino, Divesh Srivastava
2012	—	`ed.`	Proceedings of the ACM SIGMOD/PODS PhD Symposium 2012, Scottsdale, AZ, USA, May 20, 2012 SIGMOD/PODS PhD Symposium Xin Luna Dong, M. Tamer Özsu
2012	J	`jnl`	Truth Finding on the Deep Web: Is the Problem Solved? Proc. VLDB Endow. Xian Li, Xin Luna Dong, Kenneth Lyons, Weiyi Meng, Divesh Srivastava
2011	B	`conf`	Data integration with dependent sources. EDBT Anish Das Sarma, Xin Luna Dong, Alon Y. Halevy
2011	—	`conf`	Large-scale copy detection. SIGMOD Conference Xin Luna Dong, Divesh Srivastava
2011	J	`jnl`	Letter from the Special Issue Editors. IEEE Data Eng. Bull. Xin Luna Dong, Wang Chiew Tan
2011	J	`jnl`	Linking Temporal Records. Proc. VLDB Endow. Pei Li, Xin Luna Dong, Andrea Maurino, Divesh Srivastava
2011	J	`jnl`	Online Data Fusion. Proc. VLDB Endow. Xuan Liu, Xin Luna Dong, Beng Chin Ooi, Divesh Srivastava
2011	—	`conf`	Solomon: seeking the truth via copying detection. BEWEB Xin Luna Dong
2011	—	`ch.`	Uncertainty in Data Integration and Dataspace Support Platforms. Schema Matching and Mapping Anish Das Sarma, Xin Luna Dong, Alon Y. Halevy
2011	—	`conf`	We challenge you to certify your updates. SIGMOD Conference Su Chen, Xin Luna Dong, Laks V. S. Lakshmanan, Divesh Srivastava
2010	J	`jnl`	13th international workshop on the web and databases: WebDB 2010. SIGMOD Rec. Xin Luna Dong, Felix Naumann
2010	—	`ed.`	Proceedings of the 13th International Workshop on the Web and Databases 2010, WebDB 2010, Indianapolis, Indiana, USA, June 6, 2010 WebDB Xin Luna Dong, Felix Naumann
2009	—	`conf`	Data Modeling in Dataspace Support Platforms. Conceptual Modeling: Foundations and Applications Anish Das Sarma, Xin Luna Dong, Alon Y. Halevy
2009	J	`jnl`	Data fusion - Resolving Data Conflicts for Integration. Proc. VLDB Endow. Xin Luna Dong, Felix Naumann
2009	J	`jnl`	Data integration with uncertainty. VLDB J. Xin Luna Dong, Alon Y. Halevy, Cong Yu
2009	—	`conf`	Functional Dependency Generation and Applications in Pay-As-You-Go Data Integration Systems. WebDB Daisy Zhe Wang, Xin Luna Dong, Anish Das Sarma, Michael J. Franklin, Alon Y. Halevy
2009	J	`jnl`	Integrating Conflicting Data: The Role of Source Dependence. Proc. VLDB Endow. Xin Luna Dong, Laure Berti-Équille, Divesh Srivastava
2009	J	`jnl`	Truth Discovery and Copying Detection in a Dynamic World. Proc. VLDB Endow. Xin Luna Dong, Laure Berti-Équille, Divesh Srivastava
2009	—	`ch.`	XML Indexing. Encyclopedia of Database Systems Xin Luna Dong, Divesh Srivastava
2007	A*	`conf`	Data Integration with Uncertainty. VLDB Xin Luna Dong, Alon Y. Halevy, Cong Yu
2007	J	`jnl`	Visualization of Heterogeneous Data. IEEE Trans. Vis. Comput. Graph. Mike Cammarano, Xin Luna Dong, Bryan Chan, Jeff Klingner, Justin Talbot, Alon Y. Halevy, Pat Hanrahan
2007	A	`conf`	Web-Scale Data Integration: You can afford to Pay as You Go. CIDR Jayant Madhavan, Shirley Cohen, Xin Luna Dong, Alon Y. Halevy, Shawn R. Jeffery, David Ko, Cong Yu
2006	J	`jnl`	Structured Data Meets the Web: A Few Observations. IEEE Data Eng. Bull. Jayant Madhavan, Alon Y. Halevy, Shirley Cohen, Xin Luna Dong, Shawn R. Jeffery, David Ko, Cong Yu
2005	—	`conf`	Personal information management with SEMEX. SIGMOD Conference Yuhan Cai, Xin Luna Dong, Alon Y. Halevy, Jing Michelle Liu, Jayant Madhavan