Yaoyao Ding - RankMe

22 papers A* 3A 2Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Axe: A Simple Unified Layout Abstraction for Machine Learning Compilers. CoRR Bohan Hou, Hongyi Jin, Guanjie Wang, Jinqi Chen, Yaxing Cai, Lijie Yang, Zihao Ye, Yaoyao Ding, Ruihang Lai, Tianqi Chen
2026	A	`conf`	Hexcute: A Compiler Framework for Automating Layout Synthesis in GPU Programs. CGO Xiao Zhang, Yaoyao Ding, Bolin Sun, Yang Hu, Tatiana Shpeisman, Gennady Pekhimenko
2026	A	`conf`	LoRAFusion: Efficient LoRA Fine-Tuning for LLMs. EuroSys Zhanda Zhu, Qidong Su, Yaoyao Ding, Kevin Song, Shang Wang, Gennady Pekhimenko
2026	J	`jnl`	StreamFusion: Scalable Sequence Parallelism for Distributed Inference of Diffusion Transformers on GPUs. CoRR Jiacheng Yang, Jun Wu, Yaoyao Ding, Zhiying Xu, Yida Wang, Gennady Pekhimenko
2026	—	`conf`	Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation. ASPLOS (1) Yaoyao Ding, Bohan Hou, Xiao Zhang, Allan Lin, Tianqi Chen, Cody Hao Yu, Yida Wang, Gennady Pekhimenko
2025	J	`jnl`	Aegis: Taxonomy and Optimizations for Overcoming Agent-Environment Failures in LLM Agents. CoRR Kevin Song, Anand Jayarajan, Yaoyao Ding, Qidong Su, Zhanda Zhu, Sihang Liu, Gennady Pekhimenko
2025	J	`jnl`	Hexcute: A Tile-based Programming Language with Automatic Layout and Task-Mapping Synthesis. CoRR Xiao Zhang, Yaoyao Ding, Yang Hu, Gennady Pekhimenko
2025	J	`jnl`	LoRAFusion: Efficient LoRA Fine-Tuning for LLMs. CoRR Zhanda Zhu, Qidong Su, Yaoyao Ding, Kevin Song, Shang Wang, Gennady Pekhimenko
2025	J	`jnl`	Tilus: A Virtual Machine for Arbitrary Low-Precision GPGPU Computation in LLM Serving. CoRR Yaoyao Ding, Bohan Hou, Xiao Zhang, Allan Lin, Tianqi Chen, Cody Yu Hao, Yida Wang, Gennady Pekhimenko
2024	J	`jnl`	Contour wavelet diffusion: A fast and high-quality image generation model. Comput. Intell. Yaoyao Ding, Xiaoxi Zhu, Yuntao Zou
2024	J	`jnl`	EdgeNet: a low-power image recognition model based on small sample information. Pattern Anal. Appl. Weiyue Bao, Hong Zhang, Yaoyao Ding, Fangzhou Shen, Liujun Li
2023	A*	`conf`	Grape: Practical and Efficient Graphed Execution for Dynamic Deep Neural Networks on GPUs. MICRO Bojian Zheng, Cody Hao Yu, Jie Wang, Yaoyao Ding, Yizhi Liu, Yida Wang, Gennady Pekhimenko
2023	—	`conf`	Hidet: Task-Mapping Programming Paradigm for Deep Learning Tensor Programs. ASPLOS (2) Yaoyao Ding, Cody Hao Yu, Bojian Zheng, Yizhi Liu, Yida Wang, Gennady Pekhimenko
2022	J	`jnl`	GAN Compression: Efficient Architectures for Interactive Conditional GANs. IEEE Trans. Pattern Anal. Mach. Intell. Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han
2022	J	`jnl`	Hidet: Task Mapping Programming Paradigm for Deep Learning Tensor Programs. CoRR Yaoyao Ding, Cody Hao Yu, Bojian Zheng, Yizhi Liu, Yida Wang, Gennady Pekhimenko
2022	J	`jnl`	WE model: A Machine Learning Model Based on Data-Driven Movie Derivatives Market Prediction. CoRR Yaoyao Ding, Chenghao Wu, Yuntao Zou, Peng Zhou
2021	—	`conf`	IOS: Inter-Operator Scheduler for CNN Acceleration. MLSys Yaoyao Ding, Ligeng Zhu, Zhihao Jia, Gennady Pekhimenko, Song Han
2020	A*	`conf`	GAN Compression: Efficient Architectures for Interactive Conditional GANs. CVPR Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han
2020	J	`jnl`	GAN Compression: Efficient Architectures for Interactive Conditional GANs. CoRR Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han
2020	J	`jnl`	IOS: Inter-Operator Scheduler for CNN Acceleration. CoRR Yaoyao Ding, Ligeng Zhu, Zhihao Jia, Gennady Pekhimenko, Song Han
2019	A*	`conf`	CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario. WWW Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li
2019	J	`jnl`	CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario. CoRR Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li