Media Summary: Bihan Xu, School of Computer Science and Technology, University of Science and Technology of China; State Key Laboratory of ... Yunjia Xi, Shanghai Jiao Tong University. Bei Yang, Alibaba Group Empowering General-purpose User Representation with Full-life Cycle

Kdd 2023 Learning Behavior Oriented - Detailed Analysis & Overview

Bihan Xu, School of Computer Science and Technology, University of Science and Technology of China; State Key Laboratory of ... Yunjia Xi, Shanghai Jiao Tong University. Bei Yang, Alibaba Group Empowering General-purpose User Representation with Full-life Cycle Jiacheng Li, University of California, San Diego. Runlong Yu, University of Science and Technology of China Presentation video - short version Predicting Click-Through Rates for ... Zhiyuan Peng, Santa Clara University This is a brief introduction to our paper "Entity-aware of Mulit-task

Freek van Ede, PhD, (Vrije Universiteit Amsterdam, The Netherlands) delivers a Young Investigator Award talk at CNS Jiarui Zhang, USC/ISI In this video, Jiarui introduces the paper focusing on the evaluation of language models in situational ... Yiqiao Jin - Code & Data: Arxiv: Lab: ... Zilong Wang, University of California, San Diego - Presentation video (short version) for Namkyeong Lee, KAIST This is short promotional video for research track paper named "Shift-Robust Molecular Relational ... Kanghoon Yoon, KAIST Modeling and predicting patterns of events in time-series

Photo Gallery

KDD 2023 - Learning Behavior-oriented Knowledge Tracing
KDD 2023 - On-device Integrated Re-ranking with Heterogeneous Behavior Modeling
KDD 2023 - Empowering General-purpose User Representation with Full-life Cycle Behavior Modeling
KDD 2023 - Text Is All You Need: Learning Language Representations for Sequential Recommendation
KDD 2023 - Cognitive Evolutionary Search to Select Feature Interactions
KDD 2023 - Entity-aware of Mulit-task Learning for Query Understanding at Walmart
CNS 2023: Freek van Ede, PhD, "Focusing Working Memory for Behavior"
KDD 2023 - A Study of Situational Reasoning for Traffic Understanding
KDD 2023 Predicting Information Pathways Across Online Communities
KDD 2023 - VRDU: A Benchmark for Visually-rich Document Understanding
KDD 2023 - A Framework for Learning Item-Features to Make a Domain
KDD 2023 - Shift-Robust Molecular Relational Learning with Casual Substructure
View Detailed Profile
KDD 2023 - Learning Behavior-oriented Knowledge Tracing

KDD 2023 - Learning Behavior-oriented Knowledge Tracing

Bihan Xu, School of Computer Science and Technology, University of Science and Technology of China; State Key Laboratory of ...

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 - Empowering General-purpose User Representation with Full-life Cycle Behavior Modeling

KDD 2023 - Empowering General-purpose User Representation with Full-life Cycle Behavior Modeling

Bei Yang, Alibaba Group Empowering General-purpose User Representation with Full-life Cycle

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 - Cognitive Evolutionary Search to Select Feature Interactions

KDD 2023 - Cognitive Evolutionary Search to Select Feature Interactions

Runlong Yu, University of Science and Technology of China Presentation video - short version Predicting Click-Through Rates for ...

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

CNS 2023: Freek van Ede, PhD, "Focusing Working Memory for Behavior"

CNS 2023: Freek van Ede, PhD, "Focusing Working Memory for Behavior"

Freek van Ede, PhD, (Vrije Universiteit Amsterdam, The Netherlands) delivers a Young Investigator Award talk at CNS

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 Predicting Information Pathways Across Online Communities

KDD 2023 Predicting Information Pathways Across Online Communities

Yiqiao Jin - Code & Data: https://github.com/claws-lab/INPAC Arxiv: https://arxiv.org/abs/2306.02259 Lab: ...

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 - A Framework for Learning Item-Features to Make a Domain

KDD 2023 - A Framework for Learning Item-Features to Make a Domain

Taeho Kim, Hanyang University.

KDD 2023 - Shift-Robust Molecular Relational Learning with Casual Substructure

KDD 2023 - Shift-Robust Molecular Relational Learning with Casual Substructure

Namkyeong Lee, KAIST This is short promotional video for research track paper named "Shift-Robust Molecular Relational ...

KDD 2023 - Learning Multivariate Hawkes Process via Graph Recurrent Neural Network

KDD 2023 - Learning Multivariate Hawkes Process via Graph Recurrent Neural Network

Kanghoon Yoon, KAIST Modeling and predicting patterns of events in time-series