| 2026 | WWW | PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations. | Ruining He, Lukasz Heldt, Lichan Hong, Raghunandan H. Keshavan, Shifan Mao, Nikhil Mehta, Zhengyang Su, Alicia Tsai, Yueqi Wang, Shao-Chuan Wang, Xinyang Yi, Lexi Baugher, Baykal Cakici, Ed H. Chi, Cristos Goodrow, Ningren Han, He Ma, Rmer Rosales, Abby Van Soest, Devansh Tandon, Su-Lin Wu, Weilong Yang, Yilin Zheng |
| 2023 | RecSys | Online Matching: A Real-time Bandit System for Large-scale Recommendations. | Xinyang Yi, Shao-Chuan Wang, Ruining He, Hariharan Chandrasekaran, Charles Wu, Lukasz Heldt, Lichan Hong, Minmin Chen, Ed H. Chi |
| 2022 | WWW | Deep Partial Multiplex Network Embedding. | Qifan Wang, Yi Fang, Anirudh Ravula, Ruining He, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu |
| 2021 | ACL | RealFormer: Transformer Likes Residual Attention. | Ruining He, Anirudh Ravula, Bhargav Kanagal, Joshua Ainslie |
| 2021 | EACL | DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections. | Yury Zemlyanskiy, Sudeep Gandhe, Ruining He, Bhargav Kanagal, Anirudh Ravula, Juraj Gottweis, Fei Sha, Ilya Eckstein |
| 2018 | IJCAI | Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior. | Ruining He, Wang-Cheng Kang, Julian J. McAuley |
| 2018 | KDD | Graph Convolutional Neural Networks for Web-Scale Recommender Systems. | Rex Ying, Ruining He, Kaifeng Chen, Pong Eksombatchai, William L. Hamilton, Jure Leskovec |
| 2017 | IJCAI | SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation. | Chenwei Cai, Ruining He, Julian J. McAuley |
| 2017 | RecSys | Translation-based Recommendation. | Ruining He, Wang-Cheng Kang, Julian J. McAuley |
| 2016 | AAAI | VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback. | Ruining He, Julian J. McAuley |
| 2016 | ICDM | Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation. | Ruining He, Julian J. McAuley |
| 2016 | ICDM | Learning Compatibility Across Categories for Heterogeneous Item Recommendation. | Ruining He, Charles Packer, Julian J. McAuley |
| 2016 | IJCAI | Sherlock: Sparse Hierarchical Embeddings for Visually-Aware One-Class Collaborative Filtering. | Ruining He, Chunbin Lin, Jianguo Wang, Julian J. McAuley |
| 2016 | RecSys | Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation. | Ruining He, Chen Fang, Zhaowen Wang, Julian J. McAuley |
| 2016 | WWW | Fashionista: A Fashion-aware Graphical System for Exploring Visually Similar Items. | Ruining He, Chunbin Lin, Julian J. McAuley |
| 2016 | WWW | Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering. | Ruining He, Julian J. McAuley |
| 2014 | DATE | EATBit: Effective automated test for binary translation with high code coverage. | Hui Guo, Zhenjiang Wang, Chenggang Wu, Ruining He |
| 2012 | ICCAD | ISBA: An independent set-based algorithm for automated partial reconfiguration module generation. | Ruining He, Yuchun Ma, Kang Zhao, Jinian Bian |