Xin Luna Dong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
75
Venues
17
Active years
2005–2026
Best venue rank
A*
Where they publish
Papers
75 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | VideoMind: Thinking in Steps for Long Video Understanding. | Shubhang Bhatnagar, Renxiong Wang, Kapil Krishnakumar, Adel Ahmadyan, Zhaojiang Lin, Lambert Mathias, Xin Luna Dong, Babak Damavandi, Narendra Ahuja, Seungwhan Moon |
| 2026 | EACL | Knowledge Extraction on Semi-Structured Content: Does It Remain Relevant for Question Answering in the Era of LLMs? | 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 | EMNLP | Memory-QA: Answering Recall Questions Based on Multimodal Memories. | Hongda Jiang, Xinyuan Zhang, Siddhant Garg, Rishab Arora, Shiunzu Kuo, Jiayang Xu, Aaron Colak, Xin Luna Dong |
| 2025 | EMNLP | PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning. | 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 | EMNLP | KERAG: Knowledge-Enhanced Retrieval-Augmented Generation for Advanced Question Answering. | Yushi Sun, Kai Sun, Yifan Ethan Xu, Xiao Yang, Xin Luna Dong, Nan Tang, Lei Chen |
| 2025 | EMNLP | Proactive Assistant Dialogue Generation from Streaming Egocentric Videos. | Yichi Zhang, Xin Luna Dong, Zhaojiang Lin, Andrea Madotto, Anuj Kumar, Babak Damavandi, Joyce Chai, Seungwhan Moon |
| 2025 | WACV | Corgi: Cached Memory Guided Video Generation. | Xindi Wu, Uriel Singer, Zhaojiang Lin, Andrea Madotto, Xide Xia, Yifan Xu, Paul A. Crook, Xin Luna Dong, Seungwhan Moon |
| 2024 | KDD | Next-generation Intelligent Assistants for Wearable Devices. | Xin Luna Dong |
| 2024 | KDD | Lumos: Empowering Multimodal LLMs with Scene Text Recognition. | 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 | NAACL | Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs? | Kai Sun, Yifan Ethan Xu, Hanwen Zha, Yue Liu, Xin Luna Dong |
| 2024 | SIGMOD | The Journey to a Knowledgeable Assistant with Retrieval-Augmented Generation (RAG). | Xin Luna Dong |
| 2024 | WSDM | The Journey to A Knowledgeable Assistant with Retrieval-Augmented Generation (RAG). | Xin Luna Dong |
| 2023 | ACL | Tab-Cleaner: Weakly Supervised Tabular Data Cleaning via Pre-training for E-commerce Catalog. | Kewei Cheng, Xian Li, Zhengyang Wang, Chenwei Zhang, Binxuan Huang, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun |
| 2023 | KDD | Towards Next-Generation Intelligent Assistants Leveraging LLM Techniques. | Xin Luna Dong, Seungwhan Moon, Yifan Ethan Xu, Kshitiz Malik, Zhou Yu |
| 2023 | WWW | Tutorials at The Web Conference 2023. | Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espn-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 Kk-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 |
| 2023 | SIGMOD | Personal Data for Personal Use: Vision or Reality? | Xin Luna Dong, Bo Li, Julia Stoyanovich, Anthony Kum Hoe Tung, Gerhard Weikum, Alon Y. Halevy, Wang-Chiew Tan |
| 2022 | RecSys | Next-Generation Intelligent Assistants for AR/VR Devices. | Xin Luna Dong |
| 2022 | WWW | OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision. | Xinyang Zhang, Chenwei Zhang, Xian Li, Xin Luna Dong, Jingbo Shang, Christos Faloutsos, Jiawei Han |
| 2022 | SIGMOD | Publication Culture and Review Processes in the Data Management Community: An Open Discussion. | Sihem Amer-Yahia, Sourav S. Bhowmick, Xin Luna Dong, Stratos Idreos, Wolfgang Lehner, Divesh Srivastava |
| 2021 | ACL | CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction. | Zhengbao Jiang, Jialong Han, Bunyamin Sisman, Xin Luna Dong |
| 2021 | ACL | AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding. | Jun Yan, Nasser Zalmout, Yan Liang, Christan Grant, Xiang Ren, Xin Luna Dong |
| 2021 | EMNLP | End-to-End Conversational Search for Online Shopping with Utterance Transfer. | Liqiang Xiao, Jun Ma, Xin Luna Dong, Pascual Martnez-Gmez, Nasser Zalmout, Wei Chen, Tong Zhao, Hao He, Yaohui Jin |
| 2021 | KDD | PAM: Understanding Product Images in Cross Product Category Attribute Extraction. | Rongmei Lin, Xiang He, Jie Feng, Nasser Zalmout, Yan Liang, Li Xiong, Xin Luna Dong |
| 2021 | KDD | All You Need to Know to Build a Product Knowledge Graph. | Nasser Zalmout, Chenwei Zhang, Xian Li, Yan Liang, Xin Luna Dong |
| 2021 | RecSys | EX3: Explainable Attribute-aware Item-set Recommendations. | Yikun Xian, Tong Zhao, Jin Li, Jim Chan, Andrey Kan, Jun Ma, Xin Luna Dong, Christos Faloutsos, George Karypis, S. Muthukrishnan, Yongfeng Zhang |
| 2021 | WWW | TCN: Table Convolutional Network for Web Table Interpretation. | Daheng Wang, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Xin Luna Dong, Meng Jiang |
| 2021 | WWW | Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks. | Xinyang Zhang, Chenwei Zhang, Xin Luna Dong, Jingbo Shang, Jiawei Han |
| 2021 | WSDM | The 1st International Workshop on Machine Reasoning: International Machine Reasoning Conference (MRC 2021). | Yongfeng Zhang, Min Zhang, Hanxiong Chen, Xu Chen, Xianjie Chen, Chuang Gan, Tong Sun, Xin Luna Dong |
| 2020 | ACL | Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web. | Xin Luna Dong, Hannaneh Hajishirzi, Colin Lockard, Prashant Shiralkar |
| 2020 | ACL | TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories. | Giannis Karamanolakis, Jun Ma, Xin Luna Dong |
| 2020 | ACL | ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages. | Colin Lockard, Prashant Shiralkar, Xin Luna Dong, Hannaneh Hajishirzi |
| 2020 | CIKM | Ceres: Harvesting Knowledge from the Semi-structured Web. | Xin Luna Dong |
| 2020 | CIKM | P-Companion: A Principled Framework for Diversified Complementary Product Recommendation. | Junheng Hao, Tong Zhao, Jin Li, Xin Luna Dong, Christos Faloutsos, Yizhou Sun, Wei Wang |
| 2020 | ICDM | J-Recs: Principled and Scalable Recommendation Justification. | Namyong Park, Andrey Kan, Christos Faloutsos, Xin Luna Dong |
| 2020 | ICDM | CorDEL: A Contrastive Deep Learning Approach for Entity Linkage. | Zhengyang Wang, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Shuiwang Ji |
| 2020 | KDD | AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types. | 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 | KDD | Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web. | Xin Luna Dong, Hannaneh Hajishirzi, Colin Lockard, Prashant Shiralkar |
| 2020 | KDD | Octet: Online Catalog Taxonomy Enrichment with Self-Supervision. | Yuning Mao, Tong Zhao, Andrey Kan, Chenwei Zhang, Xin Luna Dong, Christos Faloutsos, Jiawei Han |
| 2020 | KDD | MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals. | Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos |
| 2020 | KDD | Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data. | Yaqing Wang, Yifan Ethan Xu, Xian Li, Xin Luna Dong, Jing Gao |
| 2020 | WWW | Collective Multi-type Entity Alignment Between Knowledge Graphs. | Qi Zhu, Hao Wei, Bunyamin Sisman, Da Zheng, Christos Faloutsos, Xin Luna Dong, Jiawei Han |
| 2020 | WSDM | Web-scale Knowledge Collection. | Colin Lockard, Prashant Shiralkar, Xin Luna Dong, Hannaneh Hajishirzi |
| 2020 | WSDM | AutoBlock: A Hands-off Blocking Framework for Entity Matching. | Wei Zhang, Hao Wei, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, David Page |
| 2019 | ICDE | Building a Broad Knowledge Graph for Products. | Xin Luna Dong |
| 2019 | ICDE | MIDAS: Finding the Right Web Sources to Fill Knowledge Gaps. | Xiaolan Wang, Xin Luna Dong, Yang Li, Alexandra Meliou |
| 2019 | KDD | Data Integration and Machine Learning: A Natural Synergy. | Xin Luna Dong, Theodoros Rekatsinas |
| 2019 | KDD | Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks. | Namyong Park, Andrey Kan, Xin Luna Dong, Tong Zhao, Christos Faloutsos |
| 2019 | NAACL | OpenCeres: When Open Information Extraction Meets the Semi-Structured Web. | Colin Lockard, Prashant Shiralkar, Xin Luna Dong |
| 2019 | NAACL | OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference. | Dongxu Zhang, Subhabrata Mukherjee, Colin Lockard, Xin Luna Dong, Andrew McCallum |
| 2018 | ACL | LinkNBed: Multi-Graph Representation Learning with Entity Linkage. | Rakshit S. Trivedi, Bunyamin Sisman, Xin Luna Dong, Christos Faloutsos, Jun Ma, Hongyuan Zha |
| 2018 | KDD | Challenges and Innovations in Building a Product Knowledge Graph. | Xin Luna Dong |
| 2018 | KDD | OpenTag: Open Attribute Value Extraction from Product Profiles. | Guineng Zheng, Subhabrata Mukherjee, Xin Luna Dong, Feifei Li |
| 2018 | SIGMOD | Data Integration and Machine Learning: A Natural Synergy. | Xin Luna Dong, Theodoros Rekatsinas |
| 2016 | ICDM | Mining Summaries for Knowledge Graph Search. | Qi Song, Yinghui Wu, Xin Luna Dong |
| 2016 | SIGMOD | SourceSight: Enabling Effective Source Selection. | Theodoros Rekatsinas, Amol Deshpande, Xin Luna Dong, Lise Getoor, Divesh Srivastava |
| 2015 | CIDR | Finding Quality in Quantity: The Challenge of Discovering Valuable Sources for Integration. | Theodoros Rekatsinas, Xin Luna Dong, Lise Getoor, Divesh Srivastava |
| 2015 | ICDE | Scaling up copy detection. | Xian Li, Xin Luna Dong, Kenneth B. Lyons, Weiyi Meng, Divesh Srivastava |
| 2015 | KDD | TimeMachine: Timeline Generation for Knowledge-Base Entities. | Tim Althoff, Xin Luna Dong, Kevin Murphy, Safa Alai, Van Dang, Wei Zhang |
| 2015 | WWW | Robust Group Linkage. | Pei Li, Xin Luna Dong, Songtao Guo, Andrea Maurino, Divesh Srivastava |
| 2015 | SIGMOD | Knowledge Curation and Knowledge Fusion: Challenges, Models and Applications. | Xin Luna Dong, Divesh Srivastava |
| 2015 | SIGMOD | Data X-Ray: A Diagnostic Tool for Data Errors. | Xiaolan Wang, Xin Luna Dong, Alexandra Meliou |
| 2014 | SIGMOD | Fusing data with correlations. | Ravali Pochampally, Anish Das Sarma, Xin Luna Dong, Alexandra Meliou, Divesh Srivastava |
| 2014 | SIGMOD | Characterizing and selecting fresh data sources. | Theodoros Rekatsinas, Xin Luna Dong, Divesh Srivastava |
| 2013 | ICDE | Big data integration. | Xin Luna Dong, Divesh Srivastava |
| 2013 | WWW | Compact explanation of data fusion decisions. | Xin Luna Dong, Divesh Srivastava |
| 2013 | SIGMOD | SIGMOD 2013 new researcher symposium. | Anish Das Sarma, Xin Luna Dong |
| 2012 | DASFAA | Detecting Clones, Copying and Reuse on the Web (DASFAA 2012 Tutorial). | Xin Luna Dong, Divesh Srivastava |
| 2012 | ICDE | Detecting Clones, Copying and Reuse on the Web. | Xin Luna Dong, Divesh Srivastava |
| 2011 | EDBT | Solomon: seeking the truth via copying detection. | Xin Luna Dong |
| 2011 | EDBT | Data integration with dependent sources. | Anish Das Sarma, Xin Luna Dong, Alon Y. Halevy |
| 2011 | SIGMOD | We challenge you to certify your updates. | Su Chen, Xin Luna Dong, Laks V. S. Lakshmanan, Divesh Srivastava |
| 2011 | SIGMOD | Large-scale copy detection. | Xin Luna Dong, Divesh Srivastava |
| 2007 | CIDR | Web-Scale Data Integration: You can afford to Pay as You Go. | Jayant Madhavan, Shirley Cohen, Xin Luna Dong, Alon Y. Halevy, Shawn R. Jeffery, David Ko, Cong Yu |
| 2007 | VLDB | Data Integration with Uncertainty. | Xin Luna Dong, Alon Y. Halevy, Cong Yu |
| 2005 | SIGMOD | Personal information management with SEMEX. | Yuhan Cai, Xin Luna Dong, Alon Y. Halevy, Jing Michelle Liu, Jayant Madhavan |