Chengrun Yang

According to our database, Chengrun Yang authored at least 22 papers between 2018 and 2025.

Collaborative distances:

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

2025

Dr Genre: Reinforcement Learning from Decoupled LLM Feedback for Generic Text Rewriting.

Yufei Li, John Nham, Ganesh Jawahar, Lei Shu, David Uthus, Yun-Hsuan Sung, Chengrun Yang, Itai Rolnick, Yi Qiao, Cong Liu

CoRR, March, 2025

SETS: Leveraging Self-Verification and Self-Correction for Improved Test-Time Scaling.

Jiefeng Chen, Jie Ren, Xinyun Chen, Chengrun Yang, Ruoxi Sun, Sercan Ö. Arik

CoRR, January, 2025

TaskFlare: A Heterogeneity-aware Unified Scheduling Framework for Diverse Domain-Specific Applications in Supercomputing Environments.

Tianyufei Zhou, Yifei Yang, Chengrun Yang, Linchang Xiao, Xuezheng Liu, Miao Hu

Proceedings of the 11th IEEE International Conference on High Performance and Smart Computing, 2025

DRL-MOSHRS: A Deep Reinforcement Learning Approach for Multi-Objective Scheduling in Heterogeneous HPC Systems.

Yifei Yang, Linchang Xiao, Tianyufei Zhou, Chengrun Yang, Xuezheng Liu, Miao Hu

Proceedings of the 11th IEEE International Conference on High Performance and Smart Computing, 2025

2024

Long-form factuality in large language models.

Jerry Wei, Chengrun Yang, Xinying Song, Yifeng Lu, Nathan Hu, Dustin Tran, Daiyi Peng, Ruibo Liu, Da Huang, Cosmo Du, Quoc V. Le

CoRR, 2024

NAAM: Enhancing Automatic Task Mapping Efficiency on NUMA Machines.

Yifei Yang, Tianyufei Zhou, Linchang Xiao, Chengrun Yang, Xuezheng Liu, Miao Hu, Di Wu

Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2024

Long-form factuality in large language models.

Jerry Wei, Chengrun Yang, Xinying Song, Yifeng Lu, Nathan Hu, Jie Huang, Dustin Tran, Daiyi Peng, Ruibo Liu, Da Huang, Cosmo Du, Quoc V. Le

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

CoarseUCB: A Context-Aware Bitrate Adaptation Algorithm for VBR-encoded Video Streaming.

Chengrun Yang, Gangqiang Zhou, Miao Hu, Qinglin Zhao, Di Wu

Proceedings of the International Wireless Communications and Mobile Computing, 2024

Large Language Models as Optimizers.

Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, Xinyun Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization for Low-Rank Tensor Completion and Tensor Robust Principal Component Analysis.

Jicong Fan, Lijun Ding, Chengrun Yang, Zhao Zhang, Madeleine Udell

Trans. Mach. Learn. Res., 2023

2022

Resource-Constrained Neural Architecture Search on Tabular Datasets.

Chengrun Yang, Gabriel Bender, Hanxiao Liu, Pieter-Jan Kindermans, Madeleine Udell, Yifeng Lu, Quoc V. Le, Da Huang

CoRR, 2022

TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets.

Chengrun Yang, Gabriel Bender, Hanxiao Liu, Pieter-Jan Kindermans, Madeleine Udell, Yifeng Lu, Quoc V. Le, Da Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

How Low Can We Go: Trading Memory for Error in Low-Precision Training.

Chengrun Yang, Ziyang Wu, Jerry Chee, Christopher De Sa, Madeleine Udell

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Robust Non-Linear Matrix Factorization for Dictionary Learning, Denoising, and Clustering.

Jicong Fan, Chengrun Yang, Madeleine Udell

IEEE Trans. Signal Process., 2021

Multi-Objective Net Architecture Pruning for Remote Sensing Classification.

Jiaqi Zhao, Chengrun Yang, Yong Zhou, Yajie Zhou, Zhujun Jiang, Ying Chen

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

TenIPS: Inverse Propensity Sampling for Tensor Completion.

Chengrun Yang, Lijun Ding, Ziyang Wu, Madeleine Udell

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Low-Rank Tensor Recovery with Euclidean-Norm-Induced Schatten-p Quasi-Norm Regularization.

Jicong Fan, Lijun Ding, Chengrun Yang, Madeleine Udell

CoRR, 2020

Efficient AutoML Pipeline Search with Matrix and Tensor Factorization.

Chengrun Yang, Jicong Fan, Ziyang Wu, Madeleine Udell

CoRR, 2020

AutoML Pipeline Selection: Efficiently Navigating the Combinatorial Space.

Chengrun Yang, Jicong Fan, Ziyang Wu, Madeleine Udell

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence.

Lijun Ding, Yingjie Fei, Qiantong Xu, Chengrun Yang

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

OBOE: Collaborative Filtering for AutoML Model Selection.

Chengrun Yang, Yuji Akimoto, Dae Won Kim, Madeleine Udell

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

OBOE: Collaborative Filtering for AutoML Initialization.

Chengrun Yang, Yuji Akimoto, Dae Won Kim, Madeleine Udell

CoRR, 2018