Media Summary: Lutz Oettershagen, KTH Royal Institute of Technology. Yunjia Xi, Shanghai Jiao Tong University. Wenzhao Jiang, Hong Kong University of Science and Technology (Guangzhou) Join us in this exciting video as we unveil DiDi's ...

Kdd 2023 A Higher Order - Detailed Analysis & Overview

Lutz Oettershagen, KTH Royal Institute of Technology. Yunjia Xi, Shanghai Jiao Tong University. Wenzhao Jiang, Hong Kong University of Science and Technology (Guangzhou) Join us in this exciting video as we unveil DiDi's ... Liyao Jiang, University of Alberta Online ads are important in e-commerce sites, social media platforms, and search engines. Mengyue Yang,University College London This video provides a brief introduction to the importance of causal representation in ... Yue Xu, Alibaba Group Multi-factor Sequential Re-ranking with Perception-Aware Diversification.

Thomas M. McDonald, University of Manchester Across many platforms, recommender systems are increasingly being explicitly ...

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KDD 2023 - A Higher-Order Temporal H-Index for Evolving Networks
KDD 2023 - Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement Learning
KDD 2023 - Boosting Multitask Learning on Graphs through Higher-Order Task Affinities
KDD 2023 - How to robustly detect failures with 3 types of telemetry data?
KDD 2023 - On-device Integrated Re-ranking with Heterogeneous Behavior Modeling
KDD 2023 - Uncertainty-Aware Probabilistic Travel Time Prediction for On-Demand Ride-Hailing at DiDi
KDD 2023 - Precursor-of-Anomaly Detection for Irregular Time Series
KDD 2023 - AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness
KDD 2023 - FairCod: A Fairness-aware Concurrent Dispatch System
KDD 2023 - Specify Robust Causal Representation from Mixed Observations
KDD 2023 - Multi-factor Sequential Re-ranking with Perception-Aware Diversification
KDD 2023 - Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay
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KDD 2023 - A Higher-Order Temporal H-Index for Evolving Networks

KDD 2023 - A Higher-Order Temporal H-Index for Evolving Networks

Lutz Oettershagen, KTH Royal Institute of Technology.

KDD 2023 - Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement Learning

KDD 2023 - Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement Learning

Qianyue Hao, Tsinghua University.

KDD 2023 - Boosting Multitask Learning on Graphs through Higher-Order Task Affinities

KDD 2023 - Boosting Multitask Learning on Graphs through Higher-Order Task Affinities

Dongyue Li, Northeastern University.

KDD 2023 - How to robustly detect failures with 3 types of telemetry data?

KDD 2023 - How to robustly detect failures with 3 types of telemetry data?

Chenyu Zhao, Nankai University.

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 - Uncertainty-Aware Probabilistic Travel Time Prediction for On-Demand Ride-Hailing at DiDi

KDD 2023 - Uncertainty-Aware Probabilistic Travel Time Prediction for On-Demand Ride-Hailing at DiDi

Wenzhao Jiang, Hong Kong University of Science and Technology (Guangzhou) Join us in this exciting video as we unveil DiDi's ...

KDD 2023 - Precursor-of-Anomaly Detection for Irregular Time Series

KDD 2023 - Precursor-of-Anomaly Detection for Irregular Time Series

Sheo Yon Jhin, Yonsei University.

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 - FairCod: A Fairness-aware Concurrent Dispatch System

KDD 2023 - FairCod: A Fairness-aware Concurrent Dispatch System

Lin Jiang, Southeast University.

KDD 2023 - Specify Robust Causal Representation from Mixed Observations

KDD 2023 - Specify Robust Causal Representation from Mixed Observations

Mengyue Yang,University College London This video provides a brief introduction to the importance of causal representation in ...

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 Multi-factor Sequential Re-ranking with Perception-Aware Diversification.

KDD 2023 - Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay

KDD 2023 - Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay

Thomas M. McDonald, University of Manchester Across many platforms, recommender systems are increasingly being explicitly ...

KDD 2023 - Conference Highlight

KDD 2023 - Conference Highlight

KDD 2023 - Conference Highlight