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Hongyu Ren
Hongyu Ren
Verified email at cs.stanford.edu - Homepage
Title
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Cited by
Year
Open graph benchmark: Datasets for machine learning on graphs
W Hu, M Fey, M Zitnik, Y Dong, H Ren, B Liu, M Catasta, J Leskovec
Advances in neural information processing systems 33, 22118-22133, 2020
10812020
On the opportunities and risks of foundation models
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint arXiv:2108.07258, 2021
6862021
QA-GNN: Reasoning with language models and knowledge graphs for question answering
M Yasunaga, H Ren, A Bosselut, P Liang, J Leskovec
arXiv preprint arXiv:2104.06378, 2021
1612021
Query2box: Reasoning over knowledge graphs in vector space using box embeddings
H Ren, W Hu, J Leskovec
arXiv preprint arXiv:2002.05969, 2020
1542020
Multi-agent generative adversarial imitation learning
J Song, H Ren, D Sadigh, S Ermon
Advances in neural information processing systems 31, 2018
1532018
Ogb-lsc: A large-scale challenge for machine learning on graphs
W Hu, M Fey, H Ren, M Nakata, Y Dong, J Leskovec
arXiv preprint arXiv:2103.09430, 2021
1242021
Bias and generalization in deep generative models: An empirical study
S Zhao, H Ren, A Yuan, J Song, N Goodman, S Ermon
Advances in Neural Information Processing Systems 31, 2018
872018
Beta embeddings for multi-hop logical reasoning in knowledge graphs
H Ren, J Leskovec
Advances in Neural Information Processing Systems 33, 19716-19726, 2020
832020
Graph information bottleneck
T Wu, H Ren, P Li, J Leskovec
Advances in Neural Information Processing Systems 33, 20437-20448, 2020
812020
Relational message passing for knowledge graph completion
H Wang, H Ren, J Leskovec
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
72*2021
RAN4IQA: Restorative Adversarial Nets for No-Reference Image Quality Assessment
H Ren, D Chen, Y Wang
AAAI'18, 2017
532017
Lego: Latent execution-guided reasoning for multi-hop question answering on knowledge graphs
H Ren, H Dai, B Dai, X Chen, M Yasunaga, H Sun, D Schuurmans, ...
International conference on machine learning, 8959-8970, 2021
362021
Greaselm: Graph reasoning enhanced language models
X Zhang, A Bosselut, M Yasunaga, H Ren, P Liang, CD Manning, ...
International conference on learning representations, 2022
30*2022
Learning with weak supervision from physics and data-driven constraints
H Ren, R Stewart, J Song, V Kuleshov, S Ermon
AI Magazine 39 (1), 27-38, 2018
292018
No-reference image quality assessment: An attention driven approach
D Chen, Y Wang, W Gao
IEEE Transactions on Image Processing 29, 6496-6506, 2020
272020
Combiner: Full attention transformer with sparse computation cost
H Ren, H Dai, Z Dai, M Yang, J Leskovec, D Schuurmans, B Dai
Advances in Neural Information Processing Systems 34, 22470-22482, 2021
242021
Adaptive antithetic sampling for variance reduction
H Ren, S Zhao, S Ermon
International Conference on Machine Learning, 5420-5428, 2019
162019
Modeling heterogeneous hierarchies with relation-specific hyperbolic cones
Y Bai, Z Ying, H Ren, J Leskovec
Advances in Neural Information Processing Systems 34, 12316-12327, 2021
142021
Adversarial Constraint Learning for Structured Prediction
H Ren, R Stewart, J Song, V Kuleshov, S Ermon
IJCAI'18, 2018
142018
Holistic evaluation of language models
P Liang, R Bommasani, T Lee, D Tsipras, D Soylu, M Yasunaga, Y Zhang, ...
arXiv preprint arXiv:2211.09110, 2022
122022
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