From Sight to Insight: Visual Memory for Smarter AssistantsSlides
Keynote at PAKDD, Hong Kong, China, June 2026
Keynote at Sigmod DEEM Workshop, Bangalore, India, June 2026
Keynote at CHIIR, Seattle, WA, March 2026
Keynote at KDD Workshop on GenAI for Recommender Systems and Personalization (GenAIRecP), Toronto, Canada, August 2025
Towards Factual Information with Dual Neural KnowledgeSlides
Distinguished Lecture in HKU School of Computing and Data Science, Hong Kong, China, October 2025
Keynote at RISE (Responsibility, Inclusion, Safety, and Ethics) AI Conference, Notre Dame, Indiana, October 2025
Invited talk at Berkeley CS DSF Seminar Series, Berkeley, CA, September 2025
Keynote at KDD Workshop on Structured Knowledge for LLMs (SKnowLLM), Toronto, Canada, August 2025
Keynote at KDD Workshop on ML on Graphs in the Era of GenAI (MLoG), Toronto, Canada, August 2025
Next-Generation Intelligent Assistants for Wearable DevicesSlides-1Slides-2
Invited talk at UPenn Database Group, Philadelphia, Pennsylvania, October 2024 KDD Applied Data Science (ADS) Invited Talk, Barcelona, Spain, August 2024
Keynote at WSDM Workshop on LLMs for Individuals, Groups, and Society (LLM-IGS), Merida, Mexico, March 2024
Keynote at KDD Workshop on Multimodal Learning, Long Beach, CA, August 2023
Invited talk at Stanford Data Science Affiliates Program—Graph Learning Workshop, Palo Alto, CA, September 2022
Keynote at RecSys Knowledge-Aware Recommender System (KaRS) Workshop, Seattle, WA, September 2022
Invited talk at ML Lab of Danish Business Authority, Virtual, September 2022
Invited talk at NAACL Workshop on Structured and Unstructured Knowledge Integrating (SUKI), Seattle, WA, July 2022
Keynote at SIAM International Conference on Data Mining (SDM), Online, April 2022
Invited talk at Trustworthy Data Science and AI Seminar Series, Simon Fraser University, April 2022
Previous Talks
Where Are We in the Journey to a Knowledgeable Assistant?SlidesCODS-COMAD'2024 Keynote WISE'2024 Keynote Oracle Cloud AI'2024 Invited talk ACL KaLLM'2024 Keynote Sigmod'2024 Keynote WSDM Industry Day'2024 Keynote KDD'2023 Workshop on Knowledge Augmented Methods for NLP Keynote
Generations of Knowledge Graphs: The Crazy Ideas and the Business ImpactSlidesWSDM ISIR-eComm'2024 Invited talk Semantics Conference'2023 Keynote VLDB'2023 Women in Database Research Award talk North East Database Day'2023 Keynote EGC'2023 Keynote
Zero to One Billion: The Path to a Rich Product Knowledge GraphSlidesNorthwest DB Society Annual Meeting 2022 Keynote AAAI DGL'2022 Keynote WSDM MLoG'2022 Keynote AKBC Unstructured/Structured KBs Workshop 2021 Keynote SigKDD DQAML'2021 Keynote SigIR'2021 Industry Keynote ESWC'2021 Keynote
Lecture at Stanford CS520 2021
Ceres: Harvesting Knowledge from the Semi-Structured WebSlides-1Slides-2SigKDD WIT'2021 Invited talk TAC-KBP'2021 Keynote UCSB NLP Seminar Invited talk 2021 CIKM'2020 Keynote AKBC'2020 Invited talk Northwest DB Society Annual Meeting 2020 Invited talk SigKDD Workshop on Truth Discovery and Fact Checking 2019 Keynote SigIR EARS'2019 Keynote Sigmod'2019 Amsterdam Data Science Invited talk ICML LLD'2019 Invited talk SigKDD MLG'2018 Keynote
Self-Driving Product Understanding for Thousands of CategoriesSlidesPHKG'2021 Keynote DeMaL'2021 Keynote NorthEast Univ. DATA Lab Speaker Series 2020 KG & E-Commerce Workshop 2020 Keynote KR2ML'2019 Invited talk
Building a Broad Knowledge Graph for ProductsSlidesICDE'19 Keynote SigIR eCOM'19 Keynote AI NEXTCon Seattle'2019 Invited talk EMNLP FEVER Workshop'2019 Invited talk Duke CS Colloquium 2018 Berkeley RISE Seminar 2018 SigKDD ADS Invited talk 2018 VLDB PhD Workshop'2018 Keynote
Challenges and Innovations in Building a Product Knowledge GraphSlidesGRADES'18 Keynote BIG'18 Invited talk MoDas'18 Invited talk KBCOM'18 Invited talk Northwest DB Day'18 Invited talk AKBC'17 Invited talk
Leaving No Valuable Data Behind: The Crazy Ideas and the BusinessSlidesAMW'17 Keynote Machine Learning Conference Seattle'17 Invited talk
Distinguished Speaker Series: Oxford Women in CS 2017 Methods to Manage Heterogeneous Big Data and Polystore Databases Workshop 2016 Keynote VLDB Early Career Research Contribution Award talk 2016
How Far Are We from Collecting the Knowledge in the WorldSlidesWebDB'16 Keynote ICWE'16 Keynote
Knowledge Fusion and Knowledge-Based TrustSlidesQuora Invited talk'15 Stanford Computer Systems Colloquium (EE380)'15 Invited talk NorCal DB Day'15
From Data Fusion to Knowledge FusionSlidesWISA'14 Keynote APWeb'14 Tutorial WACCK'14 Keynote DEOS'14 Keynote
Truth Finding on the Deep WebSlidesWAIM'13 Distinguished Young Lecturer Series DESWEB'13 Keynote
Develop Your Big IdeasSlidesSigmod New-Researcher Symposium'11
Large-Scale Copy DetectionSlides
Tutorial at DASFAA'12 ICDE'12 Sigmod'11
Solomon: Seeking the Truth Via Copying DetectionSlidesVideoBEWEB'11 Invited talk QDB'10 Keynote
Sailing the Information Ocean with Awareness of Currents: Discovery and Application of Source DependenceSlides
Invited talk at Person Validation and Entity Resolution Conference'11 (US Census Bureau) ISAT "What's Data Worth?" Workshop'10 NDBC'09 SKG'09
Data Fusion — Resolving Data Conflicts for IntegrationSlides
Tutorial at VLDB'09 NDBC'09
All You Need to Know to Build a Product Knowledge GraphWebsite
Nasser Zalmout, Chenwei Zhang, Xian Li, Yan Liang, Xin Luna Dong. KDD'2021
Multi-Modal Information Extraction from Text, Semi-Structured, and Tabular Data on the WebWebsite
Colin Lockard, Prashant Shiralkar, Xin Luna Dong, Hannaneh Hajishirzi. VLDB'2025 WSDM'2020 ACL'2020 KDD'2020
Data Integration and Machine Learning: A Natural SynergySlidesVideo
Xin Luna Dong and Theodoros Rekatsinas. Sigmod'2018 VLDB'2018 KDD'2019
Graph and Tensor Mining: For Fun and for ProfitWebsite
Xin Luna Dong, Christos Faloutsos, Andrey Kan, Jun Ma, Subhabrata Mukherjee. SigKDD'2018
Fact Checking: Theory and PracticeWebsite
Xin Luna Dong, Christos Faloutsos, Xian Li, Subhabrata Mukherjee, Prashant Shiralkar. SigKDD'2018
Knowledge Curation and Knowledge Fusion: Challenges, Models, and ApplicationsPDFSlides
Xin Luna Dong and Divesh Srivastava. Sigmod'2015
A Time Machine for Information: Looking Back to Look ForwardPDFSlidesSurvey
Xin Luna Dong and Wang-Chiew Tan. VLDB'2015