PDPR: Fine-Grained Placement for Dynamic Partially Reconfigurable FPGAs. - Ruining He; Guoqiang Liang; Yuchun Ma; Yu Wang 002; Jinian Bian (ARC, 2012)

ISBA: An independent set-based algorithm for automated partial reconfiguration module generation. - Ruining He; Yuchun Ma; Kang Zhao; Jinian Bian (ICCAD, 2012)

Unification of PR Region floorplanning and Fine-Grained Placement for Dynamic Partially Reconfigurable FPGAs. - Ruining He; Guoqiang Liang; Yuchun Ma; Yu Wang 002; Jinian Bian (J. Circuits Syst. Comput., 2013)

EATBit: Effective automated test for binary translation with high code coverage. - Hui Guo 007; Zhenjiang Wang; Chenggang Wu; Ruining He (DATE, 2014)

VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback. - Ruining He; Julian J. McAuley (AAAI, 2016)

Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation. - Ruining He; Julian J. McAuley (ICDM, 2016)

Learning Compatibility Across Categories for Heterogeneous Item Recommendation. - Ruining He; Charles Packer; Julian J. McAuley (ICDM, 2016)

Sherlock: Sparse Hierarchical Embeddings for Visually-Aware One-Class Collaborative Filtering. - Ruining He; Chunbin Lin; Jianguo Wang 001; Julian J. McAuley (IJCAI, 2016)

Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation. - Ruining He; Chen Fang; Zhaowen Wang; Julian J. McAuley (RecSys, 2016)

Fashionista: A Fashion-aware Graphical System for Exploring Visually Similar Items. - Ruining He; Chunbin Lin; Julian J. McAuley (WWW (Companion Volume), 2016)

Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering. - Ruining He; Julian J. McAuley (WWW, 2016)

Monomer: Non-Metric Mixtures-of-Embeddings for Learning Visual Compatibility Across Categories. - Ruining He; Charles Packer; Julian J. McAuley (CoRR, 2016)

SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation. - Chenwei Cai; Ruining He; Julian J. McAuley (IJCAI, 2017)

Translation-based Recommendation. - Ruining He; Wang-Cheng Kang; Julian J. McAuley (RecSys, 2017)

MILC: Inverted List Compression in Memory. - Jianguo Wang 001; Chunbin Lin; Ruining He; Moojin Chae; Yannis Papakonstantinou; Steven Swanson (Proc. VLDB Endow., 2017)

Building Rich Recommender Systems by Modeling Visual, Sequential, and Relational Signals. - Ruining He (2017)

Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior. - Ruining He; Wang-Cheng Kang; Julian J. McAuley (IJCAI, 2018)

Graph Convolutional Neural Networks for Web-Scale Recommender Systems. - Rex Ying; Ruining He; Kaifeng Chen; Pong Eksombatchai; William L. Hamilton; Jure Leskovec (KDD, 2018)

RealFormer: Transformer Likes Residual Attention. - Ruining He; Anirudh Ravula; Bhargav Kanagal; Joshua Ainslie (ACL/IJCNLP (Findings), 2021)

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 (EACL, 2021)

Deep Partial Multiplex Network Embedding. - Qifan Wang 001; Yi Fang 008; Anirudh Ravula; Ruining He; Bin Shen 002; Jingang Wang; Xiaojun Quan; Dongfang Liu (WWW (Companion Volume), 2022)

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 (RecSys, 2023)

Adaptive Selection and Clustering of Partial Reconfiguration Modules for Modern FPGA Design Flow. - Kang Zhao; Yuchun Ma; Ruining He; Jixing Zhang; Ning Xu 006; Jinian Bian (ACM Trans. Reconfigurable Technol. Syst., 2023)