Yozen Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
11
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings. | Xueying Ding, Xingyue Huang, Mingxuan Ju, Liam Collins, Yozen Liu, Leman Akoglu, Neil Shah, Tong Zhao |
| 2026 | ACL | Threshold Differential Attention for Sink-Free, Ultra-Sparse, and Non-Dispersive Language Modeling. | Xingyue Huang, Xueying Ding, Mingxuan Ju, Yozen Liu, Neil Shah, Tong Zhao |
| 2026 | SIGIR | Beyond Unimodal Perspectives: Generative Retrieval with Multimodal Semantics. | Jing Zhu, Mingxuan Ju, Yozen Liu, Shubham Vij, Danai Koutra, Neil Shah, Tong Zhao |
| 2025 | KDD | GiGL: Large-Scale Graph Neural Networks at Snapchat. | 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 | KDD | Training Industry-scale GNNs with GiGL. | Yozen Liu, Tong Zhao, Matthew Kolodner, Kyle Montemayor, Shubham Vij, Neil Shah |
| 2025 | WWW | Improving Out-of-Vocabulary Hashing in Recommendation Systems. | William Shiao, Mingxuan Ju, Zhichun Guo, Xin Chen, Evangelos E. Papalexakis, Tong Zhao, Neil Shah, Yozen Liu |
| 2025 | WWW | GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems. | Xinyi Wu, Donald Loveland, Runjin Chen, Yozen Liu, Xin Chen, Leonardo Neves, Ali Jadbabaie, Mingxuan Ju, Neil Shah, Tong Zhao |
| 2024 | SIGIR | General-Purpose User Modeling with Behavioral Logs: A Snapchat Case Study. | Qixiang Fang, Zhihan Zhou, Francesco Barbieri, Yozen Liu, Leonardo Neves, Dong Nguyen, Daniel L. Oberski, Maarten W. Bos, Ron Dotsch |
| 2024 | SIGIR | Improving Embedding-Based Retrieval in Friend Recommendation with ANN Query Expansion. | Pau Perng-Hwa Kung, Zihao Fan, Tong Zhao, Yozen Liu, Zhixin Lai, Jiahui Shi, Yan Wu, Jun Yu, Neil Shah, Ganesh Venkataraman |
| 2023 | CHI | Reciprocity, Homophily, and Social Network Effects in Pictorial Communication: A Case Study of Bitmoji Stickers. | Julie Jiang, Ron Dotsch, Mireia Triguero Roura, Yozen Liu, Vtor Silva, Maarten W. Bos, Francesco Barbieri |
| 2023 | CHI | Cultural Differences in Friendship Network Behaviors: A Snapchat Case Study. | Agrima Seth, Jiyin Cao, Xiaolin Shi, Ron Dotsch, Yozen Liu, Maarten W. Bos |
| 2023 | ICLR | Empowering Graph Representation Learning with Test-Time Graph Transformation. | Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah |
| 2023 | ICLR | MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization. | Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah |
| 2023 | ICLR | Link Prediction with Non-Contrastive Learning. | William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah |
| 2023 | ICML | Linkless Link Prediction via Relational Distillation. | Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao |
| 2023 | ICWSM | Predicting Future Location Categories of Users in a Large Social Platform. | Raiyan Abdul Baten, Yozen Liu, Heinrich Peters, Francesco Barbieri, Neil Shah, Leonardo Neves, Maarten W. Bos |
| 2023 | KDD | CARL-G: Clustering-Accelerated Representation Learning on Graphs. | William Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao, Neil Shah, Evangelos E. Papalexakis |
| 2023 | SIGIR | Embedding Based Retrieval in Friend Recommendation. | 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 | WSDM | Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference. | Yiwei Wang, Bryan Hooi, Yozen Liu, Neil Shah |
| 2022 | ICLR | Graph Condensation for Graph Neural Networks. | Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah |
| 2022 | ICLR | Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation. | Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah |
| 2022 | ICWSM | Sunshine with a Chance of Smiles: How Does Weather Impact Sentiment on Social Media? | Julie Jiang, Nils Murrugarra-Llerena, Maarten W. Bos, Yozen Liu, Neil Shah, Leonardo Neves, Francesco Barbieri |
| 2022 | WSDM | Friend Story Ranking with Edge-Contextual Local Graph Convolutions. | Xianfeng Tang, Yozen Liu, Xinran He, Suhang Wang, Neil Shah |
| 2021 | AAAI | Data Augmentation for Graph Neural Networks. | Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah |
| 2021 | CHI | AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social Media. | Koustuv Saha, Yozen Liu, Nicholas Vincent, Farhan Asif Chowdhury, Leonardo Neves, Neil Shah, Maarten W. Bos |
| 2021 | CIKM | A Unified View on Graph Neural Networks as Graph Signal Denoising. | Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah |
| 2021 | ICWSM | CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms. | Farhan Asif Chowdhury, Yozen Liu, Koustuv Saha, Nicholas Vincent, Leonardo Neves, Neil Shah, Maarten W. Bos |
| 2021 | WWW | Graph Neural Networks for Friend Ranking in Large-scale Social Platforms. | Aravind Sankar, Yozen Liu, Jun Yu, Neil Shah |
| 2020 | KDD | Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps. | Xianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra, Suhang Wang |
| 2019 | KDD | Characterizing and Forecasting User Engagement with In-App Action Graph: A Case Study of Snapchat. | Yozen Liu, Xiaolin Shi, Lucas Pierce, Xiang Ren |