Ren, Hongyu

26 publications

ICLRW 2024 Magic: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration Lin Xu, Zhiyuan Hu, Daquan Zhou, Hongyu Ren, Zhen Dong, Kurt Keutzer, See-Kiong Ng, Jiashi Feng

TMLR 2024 Neural Graph Reasoning: A Survey on Complex Logical Query Answering Hongyu Ren, Mikhail Galkin, Zhaocheng Zhu, Jure Leskovec, Michael Cochez

NeurIPS 2023 High Dimensional, Tabular Deep Learning with an Auxiliary Knowledge Graph Camilo Ruiz, Hongyu Ren, Kexin Huang, Jure Leskovec

TMLR 2023 Holistic Evaluation of Language Models Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D Manning, Christopher Re, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel Orr, Lucia Zheng, Mert Yuksekgonul, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Andrew Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda

NeurIPS 2023 PRODIGY: Enabling In-Context Learning over Graphs Qian Huang, Hongyu Ren, Peng Chen, Gregor Kržmanc, Daniel Zeng, Percy Liang, Jure Leskovec

ICMLW 2023 PRODIGY: Enabling In-Context Learning over Graphs Qian Huang, Hongyu Ren, Peng Chen, Gregor Kržmanc, Daniel Zeng, Percy Liang, Jure Leskovec

ICCV 2023 VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering Yanan Wang, Michihiro Yasunaga, Hongyu Ren, Shinya Wada, Jure Leskovec

NeurIPS 2022 Deep Bidirectional Language-Knowledge Graph Pretraining Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D Manning, Percy Liang, Jure Leskovec

NeurIPS 2022 Few-Shot Relational Reasoning via Connection Subgraph Pretraining Qian Huang, Hongyu Ren, Jure Leskovec

ICLR 2022 GreaseLM: Graph REASoning Enhanced Language Models Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D Manning, Jure Leskovec

NeurIPS 2022 Inductive Logical Query Answering in Knowledge Graphs Michael Galkin, Zhaocheng Zhu, Hongyu Ren, Jian Tang

NeurIPSW 2022 Tabular Deep Learning When $d \gg N$ by Using an Auxiliary Knowledge Graph Camilo Ruiz, Hongyu Ren, Kexin Huang, Jure Leskovec

NeurIPS 2021 Combiner: Full Attention Transformer with Sparse Computation Cost Hongyu Ren, Hanjun Dai, Zihang Dai, Mengjiao Yang, Jure Leskovec, Dale Schuurmans, Bo Dai

ICML 2021 LEGO: 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

NeurIPS 2021 Modeling Heterogeneous Hierarchies with Relation-Specific Hyperbolic Cones Yushi Bai, Zhitao Ying, Hongyu Ren, Jure Leskovec

NeurIPS 2020 Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs Hongyu Ren, Jure Leskovec

NeurIPS 2020 Graph Information Bottleneck Tailin Wu, Hongyu Ren, Pan Li, Jure Leskovec

UAI 2020 OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation Hongyu Ren, Yuke Zhu, Jure Leskovec, Animashree Anandkumar, Animesh Garg

NeurIPS 2020 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

ICLR 2020 Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings Hongyu Ren, Weihua Hu, Jure Leskovec

ICML 2019 Adaptive Antithetic Sampling for Variance Reduction Hongyu Ren, Shengjia Zhao, Stefano Ermon

WACV 2019 No-Reference Image Quality Assessment: An Attention Driven Approach Diqi Chen, Yizhou Wang, Hongyu Ren, Wen Gao

IJCAI 2018 Adversarial Constraint Learning for Structured Prediction Hongyu Ren, Russell Stewart, Jiaming Song, Volodymyr Kuleshov, Stefano Ermon

NeurIPS 2018 Bias and Generalization in Deep Generative Models: An Empirical Study Shengjia Zhao, Hongyu Ren, Arianna Yuan, Jiaming Song, Noah Goodman, Stefano Ermon

NeurIPS 2018 Multi-Agent Generative Adversarial Imitation Learning Jiaming Song, Hongyu Ren, Dorsa Sadigh, Stefano Ermon

AAAI 2018 RAN4IQA: Restorative Adversarial Nets for No-Reference Image Quality Assessment Hongyu Ren, Diqi Chen, Yizhou Wang