CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario. - Huichu Zhang; Siyuan Feng; Chang Liu 021; Yaoyao Ding; Yichen Zhu; Zihan Zhou 002; Weinan Zhang 001; Yong Yu 001; Haiming Jin; Zhenhui Li (WWW, 2019)

IOS: Inter-Operator Scheduler for CNN Acceleration. - Yaoyao Ding; Ligeng Zhu; Zhihao Jia; Gennady Pekhimenko; Song Han 003 (MLSys, 2021)

WE model: A Machine Learning Model Based on Data-Driven Movie Derivatives Market Prediction. - Yaoyao Ding; Chenghao Wu; Yuntao Zou; Peng Zhou (CoRR, 2022)

GAN Compression: Efficient Architectures for Interactive Conditional GANs. - Muyang Li; Ji Lin 002; Yaoyao Ding; Zhijian Liu; Jun-Yan Zhu; Song Han 003 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Hidet: Task-Mapping Programming Paradigm for Deep Learning Tensor Programs. - Yaoyao Ding; Cody Hao Yu; Bojian Zheng; Yizhi Liu; Yida Wang 003; Gennady Pekhimenko (ASPLOS (2), 2023)

Grape: Practical and Efficient Graphed Execution for Dynamic Deep Neural Networks on GPUs. - Bojian Zheng; Cody Hao Yu; Jie Wang 022; Yaoyao Ding; Yizhi Liu; Yida Wang 003; Gennady Pekhimenko (MICRO, 2023)

Contour wavelet diffusion: A fast and high-quality image generation model. - Yaoyao Ding; Xiaoxi Zhu; Yuntao Zou (Comput. Intell., 2024)

EdgeNet: a low-power image recognition model based on small sample information. - Weiyue Bao; Hong Zhang; Yaoyao Ding; Fangzhou Shen; Liujun Li (Pattern Anal. Appl., 2024)

Tilus: A Virtual Machine for Arbitrary Low-Precision GPGPU Computation in LLM Serving. - Yaoyao Ding; Bohan Hou; Xiao Zhang; Allan Lin; Tianqi Chen 001; Cody Yu Hao; Yida Wang 003; Gennady Pekhimenko (CoRR, 2025)

Hexcute: A Tile-based Programming Language with Automatic Layout and Task-Mapping Synthesis. - Xiao Zhang; Yaoyao Ding; Yang Hu; Gennady Pekhimenko (CoRR, 2025)