Yaohui Cai

According to our database, Yaohui Cai authored at least 16 papers between 2019 and 2025.

Collaborative distances:

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

2025

e-boost: Boosted E-Graph Extraction with Adaptive Heuristics and Exact Solving.

Jiaqi Yin, Zhan Song, Chen Chen, Yaohui Cai, Zhiru Zhang, Cunxi Yu

CoRR, August, 2025

HeuriGym: An Agentic Benchmark for LLM-Crafted Heuristics in Combinatorial Optimization.

Hongzheng Chen, Yingheng Wang, Yaohui Cai, Hins Hu, Jiajie Li, Shirley Huang, Chenhui Deng, Rongjian Liang, Shufeng Kong, Haoxing Ren, Samitha Samaranayake, Carla P. Gomes, Zhiru Zhang

CoRR, June, 2025

Understanding the Potential of FPGA-based Spatial Acceleration for Large Language Model Inference.

Hongzheng Chen, Jiahao Zhang, Yixiao Du, Shaojie Xiang, Zichao Yue, Niansong Zhang, Yaohui Cai, Zhiru Zhang

ACM Trans. Reconfigurable Technol. Syst., 2025

Nitrogen nutritional diagnosis of summer maize (Zea mays L.) based on a hyperspectral data collaborative approach-evaluation of the estimation potential of three-dimensional spectral indices.

Zijun Tang, Yaohui Cai, Youzhen Xiang, Junsheng Lu, Tao Sun, Hongzhao Shi, Xiaochi Liu, Xueyan Zhang, Zhijun Li, Fucang Zhang

Comput. Electron. Agric., 2025

Identification of standing dead trees in Robinia pseudoacacia plantations across China's Loess Plateau using multiple deep learning models.

Li Zhang, Xiaodong Gao, Shuyi Zhou, Zhibo Zhang, Tianjie Zhao, Yaohui Cai, Xining Zhao

Int. J. Appl. Earth Obs. Geoinformation, 2025

SmoothE: Differentiable E-Graph Extraction.

Yaohui Cai, Kaixin Yang, Chenhui Deng, Cunxi Yu, Zhiru Zhang

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

2024

Trainable Fixed-Point Quantization for Deep Learning Acceleration on FPGAs.

Dingyi Dai, Yichi Zhang, Jiahao Zhang, Zhanqiu Hu, Yaohui Cai, Qi Sun, Zhiru Zhang

CoRR, 2024

A Comprehensive Evaluation of FPGA-Based Spatial Acceleration of LLMs.

Hongzheng Chen, Jiahao Zhang, Yixiao Du, Shaojie Xiang, Zichao Yue, Niansong Zhang, Yaohui Cai, Zhiru Zhang

Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2024

2023

QuIP: 2-Bit Quantization of Large Language Models With Guarantees.

Jerry Chee, Yaohui Cai, Volodymyr Kuleshov, Christopher De Sa

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Structured Pruning is All You Need for Pruning CNNs at Initialization.

Yaohui Cai, Weizhe Hua, Hongzheng Chen, G. Edward Suh, Christopher De Sa, Zhiru Zhang

CoRR, 2022

2021

SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation.

Wuxinlin Cheng, Chenhui Deng, Zhiqiang Zhao, Yaohui Cai, Zhiru Zhang, Zhuo Feng

Proceedings of the 38th International Conference on Machine Learning, 2021

CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs.

Qijing Huang, Dequan Wang, Zhen Dong, Yizhao Gao, Yaohui Cai, Tian Li, Bichen Wu, Kurt Keutzer, John Wawrzynek

Proceedings of the FPGA '21: The 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Virtual Event, USA, February 28, 2021

2020

CoDeNet: Algorithm-hardware Co-design for Deformable Convolution.

Zhen Dong, Dequan Wang, Qijing Huang, Yizhao Gao, Yaohui Cai, Bichen Wu, Kurt Keutzer, John Wawrzynek

CoRR, 2020

ZeroQ: A Novel Zero Shot Quantization Framework.

Yaohui Cai, Zhewei Yao, Zhen Dong, Amir Gholami, Michael W. Mahoney, Kurt Keutzer

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks.

Zhen Dong, Zhewei Yao, Yaohui Cai, Daiyaan Arfeen, Amir Gholami, Michael W. Mahoney, Kurt Keutzer

CoRR, 2019

Algorithm-hardware Co-design for Deformable Convolution.

Qijing Huang, Dequan Wang, Yizhao Gao, Yaohui Cai, Zhen Dong, Bichen Wu, Kurt Keutzer, John Wawrzynek

Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019