Algorithm-hardware Co-design for Deformable Convolution. - Qijing Huang 001; Dequan Wang; Yizhao Gao 002; Yaohui Cai; Zhen Dong 003; Bichen Wu; Kurt Keutzer; John Wawrzynek (EMC2@NeurIPS, 2019)

HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks. - Zhen Dong 003; Zhewei Yao; Yaohui Cai; Daiyaan Arfeen; Amir Gholami; Michael W. Mahoney; Kurt Keutzer (CoRR, 2019)

ZeroQ: A Novel Zero Shot Quantization Framework. - Yaohui Cai; Zhewei Yao; Zhen Dong 003; Amir Gholami; Michael W. Mahoney; Kurt Keutzer (CVPR, 2020)

CoDeNet: Algorithm-hardware Co-design for Deformable Convolution. - Zhen Dong 003; Dequan Wang; Qijing Huang 001; Yizhao Gao 002; Yaohui Cai; Bichen Wu; Kurt Keutzer; John Wawrzynek (CoRR, 2020)

CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs. - Qijing Huang 001; Dequan Wang; Zhen Dong 003; Yizhao Gao 002; Yaohui Cai; Tian Li; Bichen Wu; Kurt Keutzer; John Wawrzynek (FPGA, 2021)

SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation. - Wuxinlin Cheng; Chenhui Deng; Zhiqiang Zhao; Yaohui Cai; Zhiru Zhang; Zhuo Feng (ICML, 2021)

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)

QuIP: 2-Bit Quantization of Large Language Models With Guarantees. - Jerry Chee; Yaohui Cai; Volodymyr Kuleshov; Christopher De Sa (NeurIPS, 2023)

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 (FPGA, 2024)

Trainable Fixed-Point Quantization for Deep Learning Acceleration on FPGAs. - Dingyi Dai; Yichi Zhang 006; Jiahao Zhang; Zhanqiu Hu; Yaohui Cai; Qi Sun; Zhiru Zhang (CoRR, 2024)

SmoothE: Differentiable E-Graph Extraction. - Yaohui Cai; Kaixin Yang; Chenhui Deng; Cunxi Yu; Zhiru Zhang (ASPLOS (1), 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)

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)

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)

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; et al. (CoRR, 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, 2025)