Yaoyao Ding

According to our database, Yaoyao Ding authored at least 12 papers between 2019 and 2025.

Collaborative distances:

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

2025

LoRAFusion: Efficient LoRA Fine-Tuning for LLMs.

Zhanda Zhu, Qidong Su, Yaoyao Ding, Kevin Song, Shang Wang, Gennady Pekhimenko

CoRR, October, 2025

Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents.

Kevin Song, Anand Jayarajan, Yaoyao Ding, Qidong Su, Zhanda Zhu, Sihang Liu, Gennady Pekhimenko

CoRR, August, 2025

Hexcute: A Tile-based Programming Language with Automatic Layout and Task-Mapping Synthesis.

Xiao Zhang, Yaoyao Ding, Yang Hu, Gennady Pekhimenko

CoRR, April, 2025

Tilus: A Virtual Machine for Arbitrary Low-Precision GPGPU Computation in LLM Serving.

Yaoyao Ding, Bohan Hou, Xiao Zhang, Allan Lin, Tianqi Chen, Cody Yu Hao, Yida Wang, Gennady Pekhimenko

CoRR, April, 2025

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., September, 2024

Contour wavelet diffusion: A fast and high-quality image generation model.

Yaoyao Ding, Xiaoxi Zhu, Yuntao Zou

Comput. Intell., February, 2024

2023

Grape: Practical and Efficient Graphed Execution for Dynamic Deep Neural Networks on GPUs.

Bojian Zheng, Cody Hao Yu, Jie Wang, Yaoyao Ding, Yizhi Liu, Yida Wang, Gennady Pekhimenko

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Hidet: Task-Mapping Programming Paradigm for Deep Learning Tensor Programs.

Yaoyao Ding, Cody Hao Yu, Bojian Zheng, Yizhi Liu, Yida Wang, Gennady Pekhimenko

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

WE model: A Machine Learning Model Based on Data-Driven Movie Derivatives Market Prediction.

Yaoyao Ding, Chenghao Wu, Yuntao Zou, Peng Zhou

CoRR, 2022

2021

IOS: Inter-Operator Scheduler for CNN Acceleration.

Yaoyao Ding, Ligeng Zhu, Zhihao Jia, Gennady Pekhimenko, Song Han

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

2020

GAN Compression: Efficient Architectures for Interactive Conditional GANs.

Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han

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

2019

CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario.

Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li

Proceedings of the World Wide Web Conference, 2019