Hongyu Ren

Publication

Here is a list of my publications (selected & outdated).

Preprint

Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases
Hongyu Ren*, Mikhail Galkin*, Michael Cochez, Zhaocheng Zhu, Jure Leskovec
- PDF

Conference

Few-shot Relational Reasoning via Pretraining of Connection Subgraph Reconstruction
Qian Huang*, Hongyu Ren*, Jure Leskovec
Proc. 36th Annual Conference on Neural Information Processing Systems (NeurIPS 2022) , Dec 2022 - PDF

Deep Bidirectional Language-Knowledge Pretraining
Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher Manning, Percy Liang, Jure Leskovec
Proc. 36th Annual Conference on Neural Information Processing Systems (NeurIPS 2022) , Dec 2022 - PDF

Inductive Logical Query Answering in Knowledge Graphs
Mikhail Galkin, Zhaocheng Zhu, Hongyu Ren, Jian Tang
Proc. 36th Annual Conference on Neural Information Processing Systems (NeurIPS 2022) , Dec 2022 - PDF

SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs
Hongyu Ren*, Hanjun Dai*, Bo Dai, Xinyun Chen, Denny Zhou, Jure Leskovec, Dale Schuurmans
The ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022) , August 2022 - PDF

GreaseLM: Graph REASoning Enhanced Language Models
Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher Manning, Jure Leskovec
Proc. 10th International Conference on Learning Representations (ICLR 2022) Spotlight, Apr 2022 - PDF

Combiner: Full Attention Transformer with Sparse Computation Cost
Hongyu Ren*, Hanjun Dai*, Zihang Dai*, Mengjiao Yang, Jure Leskovec, Dale Schuurmans, Bo Dai
Proc. 35th Annual Conference on Neural Information Processing Systems (NeurIPS 2021) Spotlight, Dec 2021 - PDF

Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones
Yushi Bai, Zhitao Ying, Hongyu Ren, Jure Leskovec
Proc. 35th Annual Conference on Neural Information Processing Systems (NeurIPS 2021) , Dec 2021 - PDF

OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
Weihua Hu, Matthias Fey, Hongyu Ren, Maho Nakata, Yuxiao Dong, Jure Leskovec
Proc. 35th Annual Conference on Neural Information Processing Systems (NeurIPS 2021) , Dec 2021 - PDF

Relational Message Passing for Knowledge Graph Completion
Hongwei Wang, Hongyu Ren, Jure Leskovec
The ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021) , August 2021 - PDF

Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs
Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Michihiro Yasunaga, Haitian Sun, Dale Schuurmans, Jure Leskovec, Denny Zhou
Proc. 38th International Conference on Machine Learning (ICML 2021) , July 2021 - PDF

QAGNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut, Percy Liang, Jure Leskovec
Annual Conference of the North American Chapter of the Assoc. for Computational Linguistics (NAACL 2021) , June 2021 - PDF

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