Media Summary: We discuss the definition, need, and recent advances in Jure Leskovec, Stanford University Innovation Award Talk. Xiaomin Chang, University of Sydney This video briefly introduces our research work on multi-source learning for energy ...

Kdd 2023 A Data Driven - Detailed Analysis & Overview

We discuss the definition, need, and recent advances in Jure Leskovec, Stanford University Innovation Award Talk. Xiaomin Chang, University of Sydney This video briefly introduces our research work on multi-source learning for energy ... Zilong Wang, University of California, San Diego - Presentation video (short version) for Lei Zheng, Shanghai Jiao Tong University In this video, we briefly introduced our work Dense representation and retrieval for ... Jiarui Zhang, USC/ISI In this video, Jiarui introduces the paper focusing on the evaluation of language models in situational ...

Liyao Jiang, University of Alberta Online ads are important in e-commerce sites, social media platforms, and search engines. Mohamed Ragab, Institute for Infocomm Research, Agency for Science Technology and Research (A*STAR)), Emadeldeen ... Jiacheng Li, University of California, San Diego.

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KDD 2023 - A Data-Driven Decision Support Framework for Player Churn Analysis in Online Games
KDD 2023 -A Data-driven Region Generation Framework Spatiotemporal Transportation Service Management
[KDD 2023 Tutorial] Data-centric AI: Techniques and Future Perspectives
KDD 2023 - Graphs, Databases and Machine Learning
KDD 2023 - Taming the Domain Shift in Multi-source Learning for Energy Disaggregation
KDD 2023 - VRDU: A Benchmark for Visually-rich Document Understanding
KDD 2023 - Dense Representation Learning and Retrieval for Tabular Data Prediction
KDD 2023 - A Study of Situational Reasoning for Traffic Understanding
KDD 2023 - Densest Diverse Subgraphs: How to Plan a Successful Cocktail Party with Diversity
KDD 2023 - AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness
KDD 2023 - Source-Free Domain Adaptation with Temporal Imputation for Time Series Data
KDD 2023 - Text Is All You Need: Learning Language Representations for Sequential Recommendation
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KDD 2023 - A Data-Driven Decision Support Framework for Player Churn Analysis in Online Games

KDD 2023 - A Data-Driven Decision Support Framework for Player Churn Analysis in Online Games

Yu Xiong, Fuxi AI Lab, NetEase Inc.

KDD 2023 -A Data-driven Region Generation Framework Spatiotemporal Transportation Service Management

KDD 2023 -A Data-driven Region Generation Framework Spatiotemporal Transportation Service Management

Liyue Chen, Peking University.

[KDD 2023 Tutorial] Data-centric AI: Techniques and Future Perspectives

[KDD 2023 Tutorial] Data-centric AI: Techniques and Future Perspectives

We discuss the definition, need, and recent advances in

KDD 2023 - Graphs, Databases and Machine Learning

KDD 2023 - Graphs, Databases and Machine Learning

Jure Leskovec, Stanford University Innovation Award Talk.

KDD 2023 - Taming the Domain Shift in Multi-source Learning for Energy Disaggregation

KDD 2023 - Taming the Domain Shift in Multi-source Learning for Energy Disaggregation

Xiaomin Chang, University of Sydney This video briefly introduces our research work on multi-source learning for energy ...

KDD 2023 - VRDU: A Benchmark for Visually-rich Document Understanding

KDD 2023 - VRDU: A Benchmark for Visually-rich Document Understanding

Zilong Wang, University of California, San Diego - Presentation video (short version) for

KDD 2023 - Dense Representation Learning and Retrieval for Tabular Data Prediction

KDD 2023 - Dense Representation Learning and Retrieval for Tabular Data Prediction

Lei Zheng, Shanghai Jiao Tong University In this video, we briefly introduced our work Dense representation and retrieval for ...

KDD 2023 - A Study of Situational Reasoning for Traffic Understanding

KDD 2023 - A Study of Situational Reasoning for Traffic Understanding

Jiarui Zhang, USC/ISI In this video, Jiarui introduces the paper focusing on the evaluation of language models in situational ...

KDD 2023 - Densest Diverse Subgraphs: How to Plan a Successful Cocktail Party with Diversity

KDD 2023 - Densest Diverse Subgraphs: How to Plan a Successful Cocktail Party with Diversity

Atsushi Miyauchi, CENTAI Institute.

KDD 2023 - AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness

KDD 2023 - AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness

Liyao Jiang, University of Alberta Online ads are important in e-commerce sites, social media platforms, and search engines.

KDD 2023 - Source-Free Domain Adaptation with Temporal Imputation for Time Series Data

KDD 2023 - Source-Free Domain Adaptation with Temporal Imputation for Time Series Data

Mohamed Ragab, Institute for Infocomm Research, Agency for Science Technology and Research (A*STAR)), Emadeldeen ...

KDD 2023 - Text Is All You Need: Learning Language Representations for Sequential Recommendation

KDD 2023 - Text Is All You Need: Learning Language Representations for Sequential Recommendation

Jiacheng Li, University of California, San Diego.

KDD 2023 - Towards Fair Disentangled Online Learning for Changing Environments

KDD 2023 - Towards Fair Disentangled Online Learning for Changing Environments

Chen Zhao, Baylor University.