Yozen Liu - RankMe

64 papers A* 20A 6Journal 32Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Threshold Differential Attention for Sink-Free, Ultra-Sparse, and Non-Dispersive Language Modeling. CoRR Xingyue Huang, Xueying Ding, Mingxuan Ju, Yozen Liu, Neil Shah, Tong Zhao
2025	J	`jnl`	Beyond Unimodal Boundaries: Generative Recommendation with Multimodal Semantics. CoRR Jing Zhu, Mingxuan Ju, Yozen Liu, Danai Koutra, Neil Shah, Tong Zhao
2025	—	`conf`	GiGL: Large-Scale Graph Neural Networks at Snapchat. KDD (2) Tong Zhao, Yozen Liu, Matthew Kolodner, Kyle Montemayor, Elham Ghazizadeh, Ankit Batra, Zihao Fan, Xiaobin Gao, Xuan Guo, Jiwen Ren, Serim Park, Peicheng Yu, Jun Yu, Shubham Vij, Neil Shah
2025	J	`jnl`	GiGL: Large-Scale Graph Neural Networks at Snapchat. CoRR Tong Zhao, Yozen Liu, Matthew Kolodner, Kyle Montemayor, Elham Ghazizadeh, Ankit Batra, Zihao Fan, Xiaobin Gao, Xuan Guo, Jiwen Ren, Serim Park, Peicheng Yu, Jun Yu, Shubham Vij, Neil Shah
2025	A*	`conf`	GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems. WWW Xinyi Wu, Donald Loveland, Runjin Chen, Yozen Liu, Xin Chen, Leonardo Neves, Ali Jadbabaie, Mingxuan Ju, Neil Shah, Tong Zhao
2025	J	`jnl`	Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings. CoRR Xueying Ding, Xingyue Huang, Mingxuan Ju, Liam Collins, Yozen Liu, Leman Akoglu, Neil Shah, Tong Zhao
2025	—	`conf`	Improving Out-of-Vocabulary Hashing in Recommendation Systems. WWW (Companion Volume) William Shiao, Mingxuan Ju, Zhichun Guo, Xin Chen, Evangelos E. Papalexakis, Tong Zhao, Neil Shah, Yozen Liu
2025	J	`jnl`	Node Duplication Improves Cold-start Link Prediction. Trans. Mach. Learn. Res. Zhichun Guo, Tong Zhao, Yozen Liu, Kaiwen Dong, William Shiao, Mingxuan Ju, Neil Shah, Nitesh V. Chawla
2025	J	`jnl`	SEESAW: Do Graph Neural Networks Improve Node Representation Learning for All? J. Data-centric Mach. Learn. Res. Yushun Dong, William Shiao, Yozen Liu, Jundong Li, Neil Shah, Tong Zhao
2025	—	`conf`	Training Industry-scale GNNs with GiGL. KDD (2) Yozen Liu, Tong Zhao, Matthew Kolodner, Kyle Montemayor, Shubham Vij, Neil Shah
2024	A*	`conf`	General-Purpose User Modeling with Behavioral Logs: A Snapchat Case Study. SIGIR Qixiang Fang, Zhihan Zhou, Francesco Barbieri, Yozen Liu, Leonardo Neves, Dong Nguyen, Daniel L. Oberski, Maarten W. Bos, Ron Dotsch
2024	J	`jnl`	GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems. CoRR Xinyi Wu, Donald Loveland, Runjin Chen, Yozen Liu, Xin Chen, Leonardo Neves, Ali Jadbabaie, Clark Mingxuan Ju, Neil Shah, Tong Zhao
2024	A*	`conf`	How Does Message Passing Improve Collaborative Filtering? NeurIPS Mingxuan Ju, William Shiao, Zhichun Guo, Yanfang Ye, Yozen Liu, Neil Shah, Tong Zhao
2024	J	`jnl`	How Does Message Passing Improve Collaborative Filtering? CoRR Mingxuan Ju, William Shiao, Zhichun Guo, Yanfang Ye, Yozen Liu, Neil Shah, Tong Zhao
2024	A*	`conf`	Improving Embedding-Based Retrieval in Friend Recommendation with ANN Query Expansion. SIGIR Pau Perng-Hwa Kung, Zihao Fan, Tong Zhao, Yozen Liu, Zhixin Lai, Jiahui Shi, Yan Wu, Jun Yu, Neil Shah, Ganesh Venkataraman
2024	J	`jnl`	Improving Out-of-Vocabulary Handling in Recommendation Systems. CoRR William Shiao, Mingxuan Ju, Zhichun Guo, Xin Chen, Evangelos E. Papalexakis, Tong Zhao, Neil Shah, Yozen Liu
2024	J	`jnl`	Node Duplication Improves Cold-start Link Prediction. CoRR Zhichun Guo, Tong Zhao, Yozen Liu, Kaiwen Dong, William Shiao, Neil Shah, Nitesh V. Chawla
2024	—	`conf`	Robust Training Objectives Improve Embedding-based Retrieval in Industrial Recommendation Systems. RobustRecSys@RecSys Matthew Kolodner, Mingxuan Ju, Zihao Fan, Tong Zhao, Elham Ghazizadeh, Yan Wu, Neil Shah, Yozen Liu
2024	J	`jnl`	Robust Training Objectives Improve Embedding-based Retrieval in Industrial Recommendation Systems. CoRR Matthew Kolodner, Mingxuan Ju, Zihao Fan, Tong Zhao, Elham Ghazizadeh, Yan Wu, Neil Shah, Yozen Liu
2024	J	`jnl`	USE: Dynamic User Modeling with Stateful Sequence Models. CoRR Zhihan Zhou, Qixiang Fang, Leonardo Neves, Francesco Barbieri, Yozen Liu, Han Liu, Maarten W. Bos, Ron Dotsch
2024	J	`jnl`	Unpacking the exploration-exploitation tradeoff on Snapchat: The relationships between users' exploration-exploitation interests and server log data. Comput. Hum. Behav. Diego Gómez-Zará, Yozen Liu, Leonardo Neves, Neil Shah, Maarten W. Bos
2023	A*	`conf`	CARL-G: Clustering-Accelerated Representation Learning on Graphs. KDD William Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao, Neil Shah, Evangelos E. Papalexakis
2023	J	`jnl`	CARL-G: Clustering-Accelerated Representation Learning on Graphs. CoRR William Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao, Neil Shah, Evangelos E. Papalexakis
2023	J	`jnl`	Context-Aware Prediction of User Engagement on Online Social Platforms. CoRR Heinrich Peters, Yozen Liu, Francesco Barbieri, Raiyan Abdul Baten, Sandra C. Matz, Maarten W. Bos
2023	A*	`conf`	Cultural Differences in Friendship Network Behaviors: A Snapchat Case Study. CHI Agrima Seth, Jiyin Cao, Xiaolin Shi, Ron Dotsch, Yozen Liu, Maarten W. Bos
2023	J	`jnl`	Cultural Differences in Friendship Network Behaviors: A Snapchat Case Study. CoRR Agrima Seth, Jiyin Cao, Xiaolin Shi, Ron Dotsch, Yozen Liu, Maarten W. Bos
2023	J	`jnl`	Designing and Evaluating General-Purpose User Representations Based on Behavioral Logs from a Measurement Process Perspective: A Case Study with Snapchat. CoRR Qixiang Fang, Zhihan Zhou, Francesco Barbieri, Yozen Liu, Leonardo Neves, Dong Nguyen, Daniel L. Oberski, Maarten W. Bos, Ron Dotsch
2023	A*	`conf`	Embedding Based Retrieval in Friend Recommendation. SIGIR Jiahui Shi, Vivek Chaurasiya, Yozen Liu, Shubham Vij, Yan Wu, Satya Kanduri, Neil Shah, Peicheng Yu, Nik Srivastava, Lei Shi, Ganesh Venkataraman, Jun Yu
2023	A*	`conf`	Empowering Graph Representation Learning with Test-Time Graph Transformation. ICLR Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah
2023	J	`jnl`	Graph Data Augmentation for Graph Machine Learning: A Survey. IEEE Data Eng. Bull. Tong Zhao, Wei Jin, Yozen Liu, Yingheng Wang, Gang Liu, Stephan Günnemann, Neil Shah, Meng Jiang
2023	A	`conf`	Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference. WSDM Yiwei Wang, Bryan Hooi, Yozen Liu, Neil Shah
2023	J	`jnl`	Graph Transformers for Large Graphs. CoRR Vijay Prakash Dwivedi, Yozen Liu, Anh Tuan Luu, Xavier Bresson, Neil Shah, Tong Zhao
2023	A*	`conf`	Link Prediction with Non-Contrastive Learning. ICLR William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah
2023	A*	`conf`	Linkless Link Prediction via Relational Distillation. ICML Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao
2023	A*	`conf`	MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization. ICLR Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah
2023	A	`conf`	Predicting Future Location Categories of Users in a Large Social Platform. ICWSM Raiyan Abdul Baten, Yozen Liu, Heinrich Peters, Francesco Barbieri, Neil Shah, Leonardo Neves, Maarten W. Bos
2023	A*	`conf`	Reciprocity, Homophily, and Social Network Effects in Pictorial Communication: A Case Study of Bitmoji Stickers. CHI Julie Jiang, Ron Dotsch, Mireia Triguero Roura, Yozen Liu, Vítor Silva, Maarten W. Bos, Francesco Barbieri
2023	—	`conf`	SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis. SemEval@ACL Jiaxin Pei, Vítor Silva, Maarten W. Bos, Yozen Liu, Leonardo Neves, David Jurgens, Francesco Barbieri
2022	J	`jnl`	Empowering Graph Representation Learning with Test-Time Graph Transformation. CoRR Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah
2022	J	`jnl`	Explaining Graph-level Predictions with Communication Structure-Aware Cooperative Games. CoRR Shichang Zhang, Neil Shah, Yozen Liu, Yizhou Sun
2022	—	`conf`	Flashlight: Scalable Link Prediction With Effective Decoders. LoG Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah
2022	J	`jnl`	Flashlight: Scalable Link Prediction with Effective Decoders. CoRR Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah
2022	A	`conf`	Friend Story Ranking with Edge-Contextual Local Graph Convolutions. WSDM Xianfeng Tang, Yozen Liu, Xinran He, Suhang Wang, Neil Shah
2022	A*	`conf`	GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games. NeurIPS Shichang Zhang, Yozen Liu, Neil Shah, Yizhou Sun
2022	A*	`conf`	Graph Condensation for Graph Neural Networks. ICLR Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah
2022	A*	`conf`	Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation. ICLR Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah
2022	J	`jnl`	Link Prediction with Non-Contrastive Learning. CoRR William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah
2022	J	`jnl`	Linkless Link Prediction via Relational Distillation. CoRR Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao
2022	J	`jnl`	MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization. CoRR Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah
2022	J	`jnl`	Reciprocity, Homophily, and Social Network Effects in Pictorial Communication: A Case Study of Bitmoji Stickers. CoRR Julie Jiang, Ron Dotsch, Mireia Triguero Roura, Yozen Liu, Vítor Silva, Maarten W. Bos, Francesco Barbieri
2022	A	`conf`	Sunshine with a Chance of Smiles: How Does Weather Impact Sentiment on Social Media? ICWSM Julie Jiang, Nils Murrugarra-Llerena, Maarten W. Bos, Yozen Liu, Neil Shah, Leonardo Neves, Francesco Barbieri
2021	A	`conf`	A Unified View on Graph Neural Networks as Graph Signal Denoising. CIKM Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah
2021	A*	`conf`	AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social Media. CHI Koustuv Saha, Yozen Liu, Nicholas Vincent, Farhan Asif Chowdhury, Leonardo Neves, Neil Shah, Maarten W. Bos
2021	A	`conf`	CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms. ICWSM Farhan Asif Chowdhury, Yozen Liu, Koustuv Saha, Nicholas Vincent, Leonardo Neves, Neil Shah, Maarten W. Bos
2021	A*	`conf`	Data Augmentation for Graph Neural Networks. AAAI Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah
2021	J	`jnl`	Graph Condensation for Graph Neural Networks. CoRR Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah
2021	A*	`conf`	Graph Neural Networks for Friend Ranking in Large-scale Social Platforms. WWW Aravind Sankar, Yozen Liu, Jun Yu, Neil Shah
2021	J	`jnl`	Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation. CoRR Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah
2020	J	`jnl`	A Unified View on Graph Neural Networks as Graph Signal Denoising. CoRR Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah
2020	J	`jnl`	Data Augmentation for Graph Neural Networks. CoRR Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah
2020	A*	`conf`	Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps. KDD Xianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra, Suhang Wang
2020	J	`jnl`	Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps. CoRR Xianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra, Suhang Wang
2019	A*	`conf`	Characterizing and Forecasting User Engagement with In-App Action Graph: A Case Study of Snapchat. KDD Yozen Liu, Xiaolin Shi, Lucas Pierce, Xiang Ren
2019	J	`jnl`	Characterizing and Forecasting User Engagement with In-app Action Graph: A Case Study of Snapchat. CoRR Yozen Liu, Xiaolin Shi, Lucas Pierce, Xiang Ren