Ruining He

ORCID

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 30

Top Venues

University of California, San Diego, USA (PHD)

Education History

University of California, San Diego, USA

PHD

Publications

Kang Zhao, Yuchun Ma, Ruining He, Jixing Zhang, Ning Xu, Jinian Bian
Adaptive Selection and Clustering of Partial Reconfiguration Modules for Modern FPGA Design Flow. ACM Trans. Reconfigurable Technol. Syst. 16 (2) (2023)
Xinyang Yi, Shao-Chuan Wang, Ruining He, Hariharan Chandrasekaran, Charles Wu, Lukasz Heldt, Lichan Hong, Minmin Chen, Ed H. Chi
Online Matching: A Real-time Bandit System for Large-scale Recommendations. RecSys (2023)
Xinyang Yi, Shao-Chuan Wang, Ruining He, Hariharan Chandrasekaran, Charles Wu, Lukasz Heldt, Lichan Hong, Minmin Chen, Ed H. Chi
Online Matching: A Real-time Bandit System for Large-scale Recommendations. CoRR (2023)
Qifan Wang, Yi Fang, Anirudh Ravula, Ruining He, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu
Deep Partial Multiplex Network Embedding. WWW (Companion Volume) (2022)
Qifan Wang, Yi Fang, Anirudh Ravula, Ruining He, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu
Deep Partial Multiplex Network Embedding. CoRR (2022)
Yury Zemlyanskiy, Sudeep Gandhe, Ruining He, Bhargav Kanagal, Anirudh Ravula, Juraj Gottweis, Fei Sha, Ilya Eckstein
DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections. EACL (2021)
Yury Zemlyanskiy, Sudeep Gandhe, Ruining He, Bhargav Kanagal, Anirudh Ravula, Juraj Gottweis, Fei Sha, Ilya Eckstein
DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections. CoRR (2021)
Ruining He, Anirudh Ravula, Bhargav Kanagal, Joshua Ainslie
RealFormer: Transformer Likes Residual Attention. ACL/IJCNLP (Findings) (2021)
Ruining He, Anirudh Ravula, Bhargav Kanagal, Joshua Ainslie
RealFormer: Transformer Likes Residual Attention. CoRR (2020)
Rex Ying, Ruining He, Kaifeng Chen, Pong Eksombatchai, William L. Hamilton, Jure Leskovec
Graph Convolutional Neural Networks for Web-Scale Recommender Systems. KDD (2018)
Ruining He, Wang-Cheng Kang, Julian J. McAuley
Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior. IJCAI (2018)
Rex Ying, Ruining He, Kaifeng Chen, Pong Eksombatchai, William L. Hamilton, Jure Leskovec
Graph Convolutional Neural Networks for Web-Scale Recommender Systems. CoRR (2018)
Chenwei Cai, Ruining He, Julian J. McAuley
SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation. CoRR (2017)
Jianguo Wang, Chunbin Lin, Ruining He, Moojin Chae, Yannis Papakonstantinou, Steven Swanson
MILC: Inverted List Compression in Memory. Proc. VLDB Endow. 10 (8) (2017)
Ruining He, Wang-Cheng Kang, Julian J. McAuley
Translation-based Recommendation. RecSys (2017)
Chenwei Cai, Ruining He, Julian J. McAuley
SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation. IJCAI (2017)
Ruining He, Wang-Cheng Kang, Julian J. McAuley
Translation-based Recommendation. CoRR (2017)
Ruining He, Julian J. McAuley
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback. AAAI (2016)
Ruining He, Julian J. McAuley
Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation. ICDM (2016)
Ruining He, Chen Fang, Zhaowen Wang, Julian J. McAuley
Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation. RecSys (2016)
Ruining He, Chunbin Lin, Jianguo Wang, Julian J. McAuley
Sherlock: Sparse Hierarchical Embeddings for Visually-Aware One-Class Collaborative Filtering. IJCAI (2016)
Ruining He, Charles Packer, Julian J. McAuley
Monomer: Non-Metric Mixtures-of-Embeddings for Learning Visual Compatibility Across Categories. CoRR (2016)
Ruining He, Julian J. McAuley
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering. CoRR (2016)
Ruining He, Chunbin Lin, Julian J. McAuley
Fashionista: A Fashion-aware Graphical System for Exploring Visually Similar Items. WWW (Companion Volume) (2016)
Ruining He, Julian J. McAuley
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering. WWW (2016)
Ruining He, Chen Fang, Zhaowen Wang, Julian J. McAuley
Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation. CoRR (2016)
Ruining He, Charles Packer, Julian J. McAuley
Learning Compatibility Across Categories for Heterogeneous Item Recommendation. ICDM (2016)
Ruining He, Chunbin Lin, Jianguo Wang, Julian J. McAuley
Sherlock: Sparse Hierarchical Embeddings for Visually-aware One-class Collaborative Filtering. CoRR (2016)
Ruining He, Julian J. McAuley
Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation. CoRR (2016)
Ruining He, Chunbin Lin, Julian J. McAuley
Fashionista: A Fashion-aware Graphical System for Exploring Visually Similar Items. CoRR (2016)
Ruining He, Julian J. McAuley
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback. CoRR (2015)
Hui Guo, Zhenjiang Wang, Chenggang Wu, Ruining He
EATBit: Effective automated test for binary translation with high code coverage. DATE (2014)
Ruining He, Guoqiang Liang, Yuchun Ma, Yu Wang, Jinian Bian
Unification of PR Region floorplanning and Fine-Grained Placement for Dynamic Partially Reconfigurable FPGAs. J. Circuits Syst. Comput. 22 (4) (2013)
Ruining He, Yuchun Ma, Kang Zhao, Jinian Bian
ISBA: An independent set-based algorithm for automated partial reconfiguration module generation. ICCAD (2012)
Ruining He, Guoqiang Liang, Yuchun Ma, Yu Wang, Jinian Bian
PDPR: Fine-Grained Placement for Dynamic Partially Reconfigurable FPGAs. ARC (2012)

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Publication Activity (10 Years)

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Ruining He