Yong Li

According to our database, Yong Li authored at least 16 papers between 2018 and 2024.

Collaborative distances:

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

2024

Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache.

Bin Lin, Tao Peng, Chen Zhang, Minmin Sun, Lanbo Li, Hanyu Zhao, Wencong Xiao, Qi Xu, Xiafei Qiu, Shen Li, Zhigang Ji, Yong Li, Wei Lin

CoRR, 2024

Llumnix: Dynamic Scheduling for Large Language Model Serving.

Biao Sun, Ziming Huang, Hanyu Zhao, Wencong Xiao, Xinyi Zhang, Yong Li, Wei Lin

Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation, 2024

2023

GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning.

Hanyu Zhao, Zhi Yang, Yu Cheng, Chao Tian, Shiru Ren, Wencong Xiao, Man Yuan, Langshi Chen, Kaibo Liu, Yang Zhang, Yong Li, Wei Lin

Proc. ACM Manag. Data, 2023

Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity.

Haojun Xia, Zhen Zheng, Yuchao Li, Donglin Zhuang, Zhongzhu Zhou, Xiafei Qiu, Yong Li, Wei Lin, Shuaiwen Leon Song

CoRR, 2023

Legion: Automatically Pushing the Envelope of Multi-GPU System for Billion-Scale GNN Training.

Jie Sun, Li Su, Zuocheng Shi, Wenting Shen, Zeke Wang, Lei Wang, Jie Zhang, Yong Li, Wenyuan Yu, Jingren Zhou, Fei Wu

Proceedings of the 2023 USENIX Annual Technical Conference, 2023

EasyScale: Elastic Training with Consistent Accuracy and Improved Utilization on GPUs.

Mingzhen Li, Wencong Xiao, Hailong Yang, Biao Sun, Hanyu Zhao, Shiru Ren, Zhongzhi Luan, Xianyan Jia, Yi Liu, Yong Li, Wei Lin, Depei Qian

Proceedings of the International Conference for High Performance Computing, 2023

uGrapher: High-Performance Graph Operator Computation via Unified Abstraction for Graph Neural Networks.

Yangjie Zhou, Jingwen Leng, Yaoxu Song, Shuwen Lu, Mian Wang, Chao Li, Minyi Guo, Wenting Shen, Yong Li, Wei Lin, Xiangwen Liu, Hanqing Wu

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

2022

PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems.

Yuanxing Zhang, Langshi Chen, Siran Yang, Man Yuan, Huimin Yi, Jie Zhang, Jiamang Wang, Jianbo Dong, Yunlong Xu, Yue Song, Yong Li, Di Zhang, Wei Lin, Lin Qu, Bo Zheng

CoRR, 2022

CoGNN: Efficient Scheduling for Concurrent GNN Training on GPUs.

Qingxiao Sun, Yi Liu, Hailong Yang, Ruizhe Zhang, Ming Dun, Mingzhen Li, Xiaoyan Liu, Wencong Xiao, Yong Li, Zhongzhi Luan, Depei Qian

Proceedings of the SC22: International Conference for High Performance Computing, 2022

PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems.

Yuanxing Zhang, Langshi Chen, Siran Yang, Man Yuan, Huimin Yi, Jie Zhang, Jiamang Wang, Jianbo Dong, Yunlong Xu, Yue Song, Yong Li, Di Zhang, Wei Lin, Lin Qu, Bo Zheng

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Exploring Sparse Expert Models and Beyond.

An Yang, Junyang Lin, Rui Men, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Jiamang Wang, Yong Li, Di Zhang, Wei Lin, Lin Qu, Jingren Zhou, Hongxia Yang

CoRR, 2021

M6: A Chinese Multimodal Pretrainer.

Junyang Lin, Rui Men, An Yang, Chang Zhou, Ming Ding, Yichang Zhang, Peng Wang, Ang Wang, Le Jiang, Xianyan Jia, Jie Zhang, Jianwei Zhang, Xu Zou, Zhikang Li, Xiaodong Deng, Jie Liu, Jinbao Xue, Huiling Zhou, Jianxin Ma, Jin Yu, Yong Li, Wei Lin, Jingren Zhou, Jie Tang, Hongxia Yang

CoRR, 2021

2020

Whale: A Unified Distributed Training Framework.

Ang Wang, Xianyan Jia, Le Jiang, Jie Zhang, Yong Li, Wei Lin

CoRR, 2020

2019

AliGraph: A Comprehensive Graph Neural Network Platform.

Rong Zhu, Kun Zhao, Hongxia Yang, Wei Lin, Chang Zhou, Baole Ai, Yong Li, Jingren Zhou

Proc. VLDB Endow., 2019

2018

GA-BPNN Based Hybrid Steering Control Approach for Unmanned Driving Electric Vehicle with In-Wheel Motors.

Yong Li, Xing Xu, Wujie Wang

Complex., 2018

A Nonlinear Decoupling Control Approach Using RBFNNI-Based Robust Pole Placement for a Permanent Magnet In-Wheel Motor.

Yong Li, Bin Li, Xing Xu, Xiaodong Sun

IEEE Access, 2018