Media Summary: Shuangli Li, University of Science and Technology of China; Baidu Research. Menghui Zhou, The University of Sheffield. Tianxiang Zhao, the Pennsylvania State University Imitation learning requires a large number of expert demonstrations to learn ...

Kdd 2023 Multi Temporal Relationship - Detailed Analysis & Overview

Shuangli Li, University of Science and Technology of China; Baidu Research. Menghui Zhou, The University of Sheffield. Tianxiang Zhao, the Pennsylvania State University Imitation learning requires a large number of expert demonstrations to learn ... Yuan Yuan, Department of Electronic Engineering, Tsinghua University. Pengfei Luo, University of Science and Technology of China In this promotional video, we provide a brief overview of the ... Lorenzo Perini, KU Leuven Nowadays, sustainable energy is becoming more and more important. Wind turbines can produce ...

Kiran Tomlinson, Cornell University - Workplace Recommendation with Yunjia Xi, Shanghai Jiao Tong University. Mohamed Ragab, Institute for Infocomm Research, Agency for Science Technology and Research (A*STAR)), Emadeldeen ... Youru Li, Beijing Jiaotong University To effectively explore the supply chain Jiarui Zhang, USC/ISI In this video, Jiarui introduces the paper focusing on the evaluation of language models in situational ... Zhiyuan Peng, Santa Clara University This is a brief introduction to our paper "Entity-aware of Mulit-task Learning for Query ...

Pengyu Zhao, Hulu Beijing Introduce the purpose, model, experiments, and industrial influence of M5. Kunal Dahiya, IIT Delhi Large language models or encoders are widely used in real-world search and recommendation ... Chuanren Liu, The University of Tennessee The integration of predictive and optimization models has received increasing ...

Photo Gallery

KDD 2023 - Multi-Temporal Relationship Inference in Urban Areas
KDD 2023 - Automatic Temporal Relation in Multi-Task Learning
KDD 2023 - Skill Discovery for Learning from Imperfect Demonstration
KDD 2023 - Spatio-temporal Diffusion Point Processes
KDD 2023 - Multi-Grained Multimodal Interaction Network for Entity Linking
KDD 2023 - Learning from positive and unlabeled multi-instance bags in anomaly detection
KDD 2023 - Workplace Recommendation with Temporal Network Objectives
KDD 2023 - On-device Integrated Re-ranking with Heterogeneous Behavior Modeling
KDD 2023 - PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation
KDD 2023 - Densest Diverse Subgraphs: How to Plan a Successful Cocktail Party with Diversity
KDD 2023 - Source-Free Domain Adaptation with Temporal Imputation for Time Series Data
KDD 2023 -Learning Joint Relational Co-evolution in Spatial-Temporal Knowledge Graph
Sponsored
Sponsored
View Detailed Profile
KDD 2023 - Multi-Temporal Relationship Inference in Urban Areas

KDD 2023 - Multi-Temporal Relationship Inference in Urban Areas

Shuangli Li, University of Science and Technology of China; Baidu Research.

KDD 2023 - Automatic Temporal Relation in Multi-Task Learning

KDD 2023 - Automatic Temporal Relation in Multi-Task Learning

Menghui Zhou, The University of Sheffield.

Sponsored
KDD 2023 - Skill Discovery for Learning from Imperfect Demonstration

KDD 2023 - Skill Discovery for Learning from Imperfect Demonstration

Tianxiang Zhao, the Pennsylvania State University Imitation learning requires a large number of expert demonstrations to learn ...

KDD 2023 - Spatio-temporal Diffusion Point Processes

KDD 2023 - Spatio-temporal Diffusion Point Processes

Yuan Yuan, Department of Electronic Engineering, Tsinghua University.

KDD 2023 - Multi-Grained Multimodal Interaction Network for Entity Linking

KDD 2023 - Multi-Grained Multimodal Interaction Network for Entity Linking

Pengfei Luo, University of Science and Technology of China In this promotional video, we provide a brief overview of the ...

Sponsored
KDD 2023 - Learning from positive and unlabeled multi-instance bags in anomaly detection

KDD 2023 - Learning from positive and unlabeled multi-instance bags in anomaly detection

Lorenzo Perini, KU Leuven Nowadays, sustainable energy is becoming more and more important. Wind turbines can produce ...

KDD 2023 - Workplace Recommendation with Temporal Network Objectives

KDD 2023 - Workplace Recommendation with Temporal Network Objectives

Kiran Tomlinson, Cornell University - Workplace Recommendation with

KDD 2023 - On-device Integrated Re-ranking with Heterogeneous Behavior Modeling

KDD 2023 - On-device Integrated Re-ranking with Heterogeneous Behavior Modeling

Yunjia Xi, Shanghai Jiao Tong University.

KDD 2023 - PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation

KDD 2023 - PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation

Xuewu Jiao, Baidu Inc.

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 - 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 -Learning Joint Relational Co-evolution in Spatial-Temporal Knowledge Graph

KDD 2023 -Learning Joint Relational Co-evolution in Spatial-Temporal Knowledge Graph

Youru Li, Beijing Jiaotong University To effectively explore the supply chain

KDD 2023 - Multi-factor Sequential Re-ranking with Perception-Aware Diversification

KDD 2023 - Multi-factor Sequential Re-ranking with Perception-Aware Diversification

Yue Xu, Alibaba Group

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 - Entity-aware of Mulit-task Learning for Query Understanding at Walmart

KDD 2023 - Entity-aware of Mulit-task Learning for Query Understanding at Walmart

Zhiyuan Peng, Santa Clara University This is a brief introduction to our paper "Entity-aware of Mulit-task Learning for Query ...

KDD 2023 - M5: Multi-Modal Multi-Interest Multi-Scenario Matching for Over-the-Top Recommendation

KDD 2023 - M5: Multi-Modal Multi-Interest Multi-Scenario Matching for Over-the-Top Recommendation

Pengyu Zhao, Hulu Beijing Introduce the purpose, model, experiments, and industrial influence of M5.

KDD 2023 - Deep Encoders with Auxiliary Parameters for Extreme Classification

KDD 2023 - Deep Encoders with Auxiliary Parameters for Extreme Classification

Kunal Dahiya, IIT Delhi Large language models or encoders are widely used in real-world search and recommendation ...

KDD 2023 - End-to-End Inventory Prediction and Contract Allocation

KDD 2023 - End-to-End Inventory Prediction and Contract Allocation

Chuanren Liu, The University of Tennessee The integration of predictive and optimization models has received increasing ...

Related Video Content

KDD 2026 – KDD 2026 | Korea information

ACM KDD 2026 | Jeju, Korea August 9-13, 2026 International Convention Center Jeju (ICC Jeju) Calls for Papers...

KDD information

Apr 20, 2026 · The 2026 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) will be held...

KDD 2026_百度百科 information

KDD 2026,即第32届ACMSIGKDD知识发现与数据挖掘会议(ACM SIGKDD Conference on Knowledge Discovery and Data...

KDD 和其他方向的顶级会议相比(如 NIPS,CVPR,ICML,ACL),是 … information

KDD比较独占的方向,streaming data,time series data,spatial-temporal data发展的不是特别快。 KDD的审稿周期长,没有rebuttal,录取率还控制的比较低。 KDD...

KDD 2026 - OpenReview information

OpenReview is a long-term project to advance science through improved peer review with legal nonprofit status. We...