Yozen Liu

Orcid: 0000-0002-2107-504X

According to our database1, Yozen Liu authored at least 38 papers between 2019 and 2024.

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Bibliography

2024
Unpacking the exploration-exploitation tradeoff on Snapchat: The relationships between users' exploration-exploitation interests and server log data.
Comput. Hum. Behav., January, 2024

Robust Training Objectives Improve Embedding-based Retrieval in Industrial Recommendation Systems.
CoRR, 2024

How Does Message Passing Improve Collaborative Filtering?
CoRR, 2024

Improving Out-of-Vocabulary Handling in Recommendation Systems.
CoRR, 2024

USE: Dynamic User Modeling with Stateful Sequence Models.
CoRR, 2024

Node Duplication Improves Cold-start Link Prediction.
CoRR, 2024

Improving Embedding-Based Retrieval in Friend Recommendation with ANN Query Expansion.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

General-Purpose User Modeling with Behavioral Logs: A Snapchat Case Study.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2023
Graph Data Augmentation for Graph Machine Learning: A Survey.
IEEE Data Eng. Bull., 2023

Designing and Evaluating General-Purpose User Representations Based on Behavioral Logs from a Measurement Process Perspective: A Case Study with Snapchat.
CoRR, 2023

Graph Transformers for Large Graphs.
CoRR, 2023

Context-Aware Prediction of User Engagement on Online Social Platforms.
CoRR, 2023

Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Embedding Based Retrieval in Friend Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

CARL-G: Clustering-Accelerated Representation Learning on Graphs.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Predicting Future Location Categories of Users in a Large Social Platform.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

Linkless Link Prediction via Relational Distillation.
Proceedings of the International Conference on Machine Learning, 2023

Link Prediction with Non-Contrastive Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Empowering Graph Representation Learning with Test-Time Graph Transformation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Cultural Differences in Friendship Network Behaviors: A Snapchat Case Study.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Reciprocity, Homophily, and Social Network Effects in Pictorial Communication: A Case Study of Bitmoji Stickers.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Explaining Graph-level Predictions with Communication Structure-Aware Cooperative Games.
CoRR, 2022

Friend Story Ranking with Edge-Contextual Local Graph Convolutions.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Flashlight: Scalable Link Prediction With Effective Decoders.
Proceedings of the Learning on Graphs Conference, 2022

Sunshine with a Chance of Smiles: How Does Weather Impact Sentiment on Social Media?
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Graph Condensation for Graph Neural Networks.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Graph Neural Networks for Friend Ranking in Large-scale Social Platforms.
Proceedings of the WWW '21: The Web Conference 2021, 2021

CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

A Unified View on Graph Neural Networks as Graph Signal Denoising.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social Media.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Data Augmentation for Graph Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
Characterizing and Forecasting User Engagement with In-app Action Graph: A Case Study of Snapchat.
CoRR, 2019

Characterizing and Forecasting User Engagement with In-App Action Graph: A Case Study of Snapchat.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019


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