Ruining He

According to our database, Ruining He authored at least 23 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Adaptive Selection and Clustering of Partial Reconfiguration Modules for Modern FPGA Design Flow.

Kang Zhao, Yuchun Ma, Ruining He, Jixing Zhang, Ning Xu, Jinian Bian

ACM Trans. Reconfigurable Technol. Syst., June, 2023

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

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022

Deep Partial Multiplex Network Embedding.

Qifan Wang, Yi Fang, Anirudh Ravula, Ruining He, Bin Shen, Jingang Wang, Xiaojun Quan, Dongfang Liu

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

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

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

RealFormer: Transformer Likes Residual Attention.

Ruining He, Anirudh Ravula, Bhargav Kanagal, Joshua Ainslie

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2018

Graph Convolutional Neural Networks for Web-Scale Recommender Systems.

Rex Ying, Ruining He, Kaifeng Chen, Pong Eksombatchai, William L. Hamilton, Jure Leskovec

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior.

Ruining He, Wang-Cheng Kang, Julian J. McAuley

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Building Rich Recommender Systems by Modeling Visual, Sequential, and Relational Signals.

Ruining He

PhD thesis, 2017

MILC: Inverted List Compression in Memory.

Jianguo Wang, Chunbin Lin, Ruining He, Moojin Chae, Yannis Papakonstantinou, Steven Swanson

Proc. VLDB Endow., 2017

Translation-based Recommendation.

Ruining He, Wang-Cheng Kang, Julian J. McAuley

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation.

Chenwei Cai, Ruining He, Julian J. McAuley

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Monomer: Non-Metric Mixtures-of-Embeddings for Learning Visual Compatibility Across Categories.

Ruining He, Charles Packer, Julian J. McAuley

CoRR, 2016

Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering.

Ruining He, Julian J. McAuley

Proceedings of the 25th International Conference on World Wide Web, 2016

Fashionista: A Fashion-aware Graphical System for Exploring Visually Similar Items.

Ruining He, Chunbin Lin, Julian J. McAuley

Proceedings of the 25th International Conference on World Wide Web, 2016

Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation.

Ruining He, Chen Fang, Zhaowen Wang, Julian J. McAuley

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Sherlock: Sparse Hierarchical Embeddings for Visually-Aware One-Class Collaborative Filtering.

Ruining He, Chunbin Lin, Jianguo Wang, Julian J. McAuley

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Learning Compatibility Across Categories for Heterogeneous Item Recommendation.

Ruining He, Charles Packer, Julian J. McAuley

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation.

Ruining He, Julian J. McAuley

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback.

Ruining He, Julian J. McAuley

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2014

EATBit: Effective automated test for binary translation with high code coverage.

Hui Guo, Zhenjiang Wang, Chenggang Wu, Ruining He

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2014

2013

Unification of PR Region floorplanning and Fine-Grained Placement for Dynamic Partially Reconfigurable FPGAs.

Ruining He, Guoqiang Liang, Yuchun Ma, Yu Wang, Jinian Bian

J. Circuits Syst. Comput., 2013

2012

ISBA: An independent set-based algorithm for automated partial reconfiguration module generation.

Ruining He, Yuchun Ma, Kang Zhao, Jinian Bian

Proceedings of the 2012 IEEE/ACM International Conference on Computer-Aided Design, 2012

PDPR: Fine-Grained Placement for Dynamic Partially Reconfigurable FPGAs.

Ruining He, Guoqiang Liang, Yuchun Ma, Yu Wang, Jinian Bian

Proceedings of the Reconfigurable Computing: Architectures, Tools and Applications, 2012