Hongyu Ren

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CS Ph.D. student at Stanford University


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Publication

Publication

Here is a list of my publications (selected).

Preprint

Entity Context and Relational Paths for Knowledge Graph Completion
Hongwei Wang, Hongyu Ren, Jure Leskovec
- PDF

Conference

Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs
Hongyu Ren, Jure Leskovec
Proc. 34th Annual Conference on Neural Information Processing Systems (NeurIPS 2020) , September 2020 - PDF

Graph Information Bottleneck
Tailin Wu*, Hongyu Ren*, Pan Li, Jure Leskovec
Proc. 34th Annual Conference on Neural Information Processing Systems (NeurIPS 2020) , September 2020 - PDF

Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu, Matthias Fey, Marinka Zitnik, Yuxiao Dong, Hongyu Ren, Bowen Liu, Michele Catasta, Jure Leskovec
Proc. 34th Annual Conference on Neural Information Processing Systems (NeurIPS 2020) Spotlight, September 2020 - PDF

OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation
Hongyu Ren, Yuke Zhu, Jure Leskovec, Anima Anandkumar, Animesh Garg
Proc. 36th Conference on Uncertainty in Artificial Intelligence (UAI 2020) , August 2020 - PDF

Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings
Hongyu Ren*, Weihua Hu*, Jure Leskovec
Proc. 8th International Conference on Learning Representations (ICLR 2020) , April 2020 - PDF

Adaptive Antithetic Sampling for Variance Reduction
Hongyu Ren*, Shengjia Zhao*, Stefano Ermon
Proc. 36th International Conference on Machine Learning (ICML 2019) , July 2019 - PDF

Bias and Generalization in Deep Generative Models: An Empirical Study
Shengjia Zhao*, Hongyu Ren*, Arianna Yuan, Jiaming Song, Noah Goodman, Stefano Ermon
Proc. 32nd Annual Conference on Neural Information Processing Systems (NeurIPS 2018) Spotlight, December 2018 - PDF

Multi-Agent Generative Adversarial Imitation Learning
Jiaming Song, Hongyu Ren, Dorsa Sadigh, Stefano Ermon
Proc. 32nd Annual Conference on Neural Information Processing Systems (NeurIPS 2018) , December 2018 - PDF

Adversarial Constraint Learning for Structured Prediction
Hongyu Ren, Russell Stewart, Jiaming Song, Volodymyr Kuleshov, Stefano Ermon
Proc. 27th International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2018) , July 2018 - PDF

RAN4IQA: Restorative Adversarial Nets for No-Reference Image Quality Assessment
Hongyu Ren, Diqi Chen, Yizhou Wang
Proc. 32nd AAAI Conference on Artificial Intelligence (AAAI 2018) , February 2018 - PDF

Journal Articles

Learning with Weak Supervision from Physics and Data-driven Constraints
Hongyu Ren, Russell Stewart, Jiaming Song, Volodymyr Kuleshov, Stefano Ermon
AI Magazine, Spring 2018, Vol 39, No 1, pp. 27-38. - PDF