Yozen Liu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 50

Top Topics

Cooperative Games

Graph Representation

Top Venues

Publications

Pau Perng-Hwa Kung, Zihao Fan, Tong Zhao, Yozen Liu, Zhixin Lai, Jiahui Shi, Yan Wu, Jun Yu, Neil Shah, Ganesh Venkataraman
Improving Embedding-Based Retrieval in Friend Recommendation with ANN Query Expansion. SIGIR (2024)
Zhihan Zhou, Qixiang Fang, Leonardo Neves, Francesco Barbieri, Yozen Liu, Han Liu, Maarten W. Bos, Ron Dotsch
USE: Dynamic User Modeling with Stateful Sequence Models. CoRR (2024)
Diego Gómez-Zará, Yozen Liu, Leonardo Neves, Neil Shah, Maarten W. Bos
Unpacking the exploration-exploitation tradeoff on Snapchat: The relationships between users' exploration-exploitation interests and server log data. Comput. Hum. Behav. 150 (2024)
Qixiang Fang, Zhihan Zhou, Francesco Barbieri, Yozen Liu, Leonardo Neves, Dong Nguyen, Daniel L. Oberski, Maarten W. Bos, Ron Dotsch
General-Purpose User Modeling with Behavioral Logs: A Snapchat Case Study. SIGIR (2024)
William Shiao, Mingxuan Ju, Zhichun Guo, Xin Chen, Evangelos E. Papalexakis, Tong Zhao, Neil Shah, Yozen Liu
Improving Out-of-Vocabulary Handling in Recommendation Systems. CoRR (2024)
Mingxuan Ju, William Shiao, Zhichun Guo, Yanfang Ye, Yozen Liu, Neil Shah, Tong Zhao
How Does Message Passing Improve Collaborative Filtering? CoRR (2024)
Zhichun Guo, Tong Zhao, Yozen Liu, Kaiwen Dong, William Shiao, Neil Shah, Nitesh V. Chawla
Node Duplication Improves Cold-start Link Prediction. CoRR (2024)
William Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao, Neil Shah, Evangelos E. Papalexakis
CARL-G: Clustering-Accelerated Representation Learning on Graphs. CoRR (2023)
William Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao, Neil Shah, Evangelos E. Papalexakis
CARL-G: Clustering-Accelerated Representation Learning on Graphs. KDD (2023)
Qixiang Fang, Zhihan Zhou, Francesco Barbieri, Yozen Liu, Leonardo Neves, Dong Nguyen, Daniel L. Oberski, Maarten W. Bos, Ron Dotsch
Designing and Evaluating General-Purpose User Representations Based on Behavioral Logs from a Measurement Process Perspective: A Case Study with Snapchat. CoRR (2023)
Jiahui Shi, Vivek Chaurasiya, Yozen Liu, Shubham Vij, Yan Wu, Satya Kanduri, Neil Shah, Peicheng Yu, Nik Srivastava, Lei Shi, Ganesh Venkataraman, Jun Yu
Embedding Based Retrieval in Friend Recommendation. SIGIR (2023)
Yiwei Wang, Bryan Hooi, Yozen Liu, Neil Shah
Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference. WSDM (2023)
Agrima Seth, Jiyin Cao, Xiaolin Shi, Ron Dotsch, Yozen Liu, Maarten W. Bos
Cultural Differences in Friendship Network Behaviors: A Snapchat Case Study. CoRR (2023)
Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization. ICLR (2023)
Julie Jiang, Ron Dotsch, Mireia Triguero Roura, Yozen Liu, Vítor Silva, Maarten W. Bos, Francesco Barbieri
Reciprocity, Homophily, and Social Network Effects in Pictorial Communication: A Case Study of Bitmoji Stickers. CHI (2023)
William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah
Link Prediction with Non-Contrastive Learning. ICLR (2023)
Vijay Prakash Dwivedi, Yozen Liu, Anh Tuan Luu, Xavier Bresson, Neil Shah, Tong Zhao
Graph Transformers for Large Graphs. CoRR (2023)
Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah
Empowering Graph Representation Learning with Test-Time Graph Transformation. ICLR (2023)
Agrima Seth, Jiyin Cao, Xiaolin Shi, Ron Dotsch, Yozen Liu, Maarten W. Bos
Cultural Differences in Friendship Network Behaviors: A Snapchat Case Study. CHI (2023)
Heinrich Peters, Yozen Liu, Francesco Barbieri, Raiyan Abdul Baten, Sandra C. Matz, Maarten W. Bos
Context-Aware Prediction of User Engagement on Online Social Platforms. CoRR (2023)
Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao
Linkless Link Prediction via Relational Distillation. ICML (2023)
Tong Zhao, Wei Jin, Yozen Liu, Yingheng Wang, Gang Liu, Stephan Günnemann, Neil Shah, Meng Jiang
Graph Data Augmentation for Graph Machine Learning: A Survey. IEEE Data Eng. Bull. 46 (2) (2023)
Raiyan Abdul Baten, Yozen Liu, Heinrich Peters, Francesco Barbieri, Neil Shah, Leonardo Neves, Maarten W. Bos
Predicting Future Location Categories of Users in a Large Social Platform. ICWSM (2023)
Jiaxin Pei, Vítor Silva, Maarten W. Bos, Yozen Liu, Leonardo Neves, David Jurgens, Francesco Barbieri
SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis. SemEval@ACL (2023)
Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah
Empowering Graph Representation Learning with Test-Time Graph Transformation. CoRR (2022)
Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah
Flashlight: Scalable Link Prediction With Effective Decoders. LoG (2022)
Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah
Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation. ICLR (2022)
Julie Jiang, Nils Murrugarra-Llerena, Maarten W. Bos, Yozen Liu, Neil Shah, Leonardo Neves, Francesco Barbieri
Sunshine with a Chance of Smiles: How Does Weather Impact Sentiment on Social Media? ICWSM (2022)
Shichang Zhang, Neil Shah, Yozen Liu, Yizhou Sun
Explaining Graph-level Predictions with Communication Structure-Aware Cooperative Games. CoRR (2022)
Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization. CoRR (2022)
Julie Jiang, Ron Dotsch, Mireia Triguero Roura, Yozen Liu, Vítor Silva, Maarten W. Bos, Francesco Barbieri
Reciprocity, Homophily, and Social Network Effects in Pictorial Communication: A Case Study of Bitmoji Stickers. CoRR (2022)
Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao
Linkless Link Prediction via Relational Distillation. CoRR (2022)
Xianfeng Tang, Yozen Liu, Xinran He, Suhang Wang, Neil Shah
Friend Story Ranking with Edge-Contextual Local Graph Convolutions. WSDM (2022)
Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah
Graph Condensation for Graph Neural Networks. ICLR (2022)
Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah
Flashlight: Scalable Link Prediction with Effective Decoders. CoRR (2022)
William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah
Link Prediction with Non-Contrastive Learning. CoRR (2022)
Shichang Zhang, Yozen Liu, Neil Shah, Yizhou Sun
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games. NeurIPS (2022)
Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation. CoRR (2021)
Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah
Graph Condensation for Graph Neural Networks. CoRR (2021)
Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah
A Unified View on Graph Neural Networks as Graph Signal Denoising. CIKM (2021)
Aravind Sankar, Yozen Liu, Jun Yu, Neil Shah
Graph Neural Networks for Friend Ranking in Large-scale Social Platforms. WWW (2021)
Koustuv Saha, Yozen Liu, Nicholas Vincent, Farhan Asif Chowdhury, Leonardo Neves, Neil Shah, Maarten W. Bos
AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social Media. CHI (2021)
Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah
Data Augmentation for Graph Neural Networks. AAAI (2021)
Farhan Asif Chowdhury, Yozen Liu, Koustuv Saha, Nicholas Vincent, Leonardo Neves, Neil Shah, Maarten W. Bos
CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms. ICWSM (2021)
Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah
A Unified View on Graph Neural Networks as Graph Signal Denoising. CoRR (2020)
Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah
Data Augmentation for Graph Neural Networks. CoRR (2020)
Xianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra, Suhang Wang
Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps. CoRR (2020)
Xianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra, Suhang Wang
Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps. KDD (2020)
Yozen Liu, Xiaolin Shi, Lucas Pierce, Xiang Ren
Characterizing and Forecasting User Engagement with In-app Action Graph: A Case Study of Snapchat. CoRR (2019)
Yozen Liu, Xiaolin Shi, Lucas Pierce, Xiang Ren
Characterizing and Forecasting User Engagement with In-App Action Graph: A Case Study of Snapchat. KDD (2019)