Chao Li

About Chao Li

Chao Li, With an exceptional h-index of 26 and a recent h-index of 22 (since 2020), a distinguished researcher at Shanghai Jiao Tong University, specializes in the field of Computer Architecture, Data Center, Cloud Computing, Sustainable Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Fractal: Joint Multi-Level Sparse Pattern Tuning of Accuracy and Performance for DNN Pruning

FaaSGraph: Enabling Scalable, Efficient, and Cost-Effective Graph Processing with Serverless Computing

JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping

Amanda: Unified Instrumentation Framework for Deep Neural Networks

FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework

FPGA sharing in the cloud: a comprehensive analysis

SMG: A System-Level Modality Gating Facility for Fast and Energy-Efficient Multimodal Computing

Optimizing GPU-based Graph Sampling and Random Walk for Efficiency and Scalability

Chao Li Information

University

Position

___

Citations(all)

2370

Citations(since 2020)

1603

Cited By

1202

hIndex(all)

26

hIndex(since 2020)

22

i10Index(all)

61

i10Index(since 2020)

50

Email

University Profile Page

Google Scholar

Chao Li Skills & Research Interests

Computer Architecture

Data Center

Cloud Computing

Sustainable Computing

Top articles of Chao Li

Title

Journal

Author(s)

Publication Date

Fractal: Joint Multi-Level Sparse Pattern Tuning of Accuracy and Performance for DNN Pruning

Yue Guan

Changming Yu

Yangjie Zhou

Jingwen Leng

Chao Li

...

2024/4/27

FaaSGraph: Enabling Scalable, Efficient, and Cost-Effective Graph Processing with Serverless Computing

Yushi Liu

Shixuan Sun

Zijun Li

Quan Chen

Sen Gao

...

2024/4/27

JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping

arXiv preprint arXiv:2312.01712

Zihan Liu

Wentao Ni

Jingwen Leng

Yu Feng

Cong Guo

...

2023/12/4

Amanda: Unified Instrumentation Framework for Deep Neural Networks

Yue Guan

Yuxian Qiu

Jingwen Leng

Fan Yang

Shuo Yu

...

2024/4/27

FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework

arXiv preprint arXiv:2404.08364

Junyi Mei

Shixuan Sun

Chao Li

Cheng Xu

Cheng Chen

...

2024/4/12

FPGA sharing in the cloud: a comprehensive analysis

Jinyang Guo

Lu Zhang

José Romero Hung

Chao Li

Jieru Zhao

...

2023/10

SMG: A System-Level Modality Gating Facility for Fast and Energy-Efficient Multimodal Computing

Xiaofeng Hou

Peng Tang

Chao Li

Jiacheng Liu

Cheng Xu

...

2023/12/5

Optimizing GPU-based Graph Sampling and Random Walk for Efficiency and Scalability

IEEE Transactions on Computers

Pengyu Wangl

Cheng Xu

Chao Li

Jing Wang

Taolei Wang

...

2023/3/2

Mmexit: Enabling fast and efficient multi-modal dnn inference with adaptive network exits

Xiaofeng Hou

Jiacheng Liu

Xuehan Tang

Chao Li

Kwang-Ting Cheng

...

2023/8/24

BLAD: Adaptive Load Balanced Scheduling and Operator Overlap Pipeline For Accelerating The Dynamic GNN Training

Kaihua Fu

Quan Chen

Yuzhuo Yang

Jiuchen Shi

Chao Li

...

2023/11/12

ugrapher: High-performance graph operator computation via unified abstraction for graph neural networks

Yangjie Zhou

Jingwen Leng

Yaoxu Song

Shuwen Lu

Mian Wang

...

2023/1/27

Fargraph+: Excavating the parallelism of graph processing workload on RDMA-based far memory system

Journal of Parallel and Distributed Computing

Jing Wang

Chao Li

Yibo Liu

Taolei Wang

Junyi Mei

...

2023/7/1

ParLeiden: Boosting Parallelism of Distributed Leiden Algorithm on Large-scale Graphs

Yongmin Hu

Jing Wang

Cheng Zhao

Yibo Liu

Cheng Chen

...

2023/11

Dragon: dynamic recurrent accelerator for graph online convolution

ACM Transactions on Design Automation of Electronic Systems

José Romero Hung

Chao Li

Taolei Wang

Jinyang Guo

Pengyu Wang

...

2023/1/20

Architecting efficient multi-modal aiot systems

Xiaofeng Hou

Jiacheng Liu

Xuehan Tang

Chao Li

Jia Chen

...

2023/6/17

Not All Resources are Visible: Exploiting Fragmented Shadow Resources in Shared-State Scheduler Architecture

Xinkai Wang

Hao He

Yuancheng Li

Chao Li

Xiaofeng Hou

...

2023/10/30

FIRST: Exploiting the Multi-Dimensional Attributes of Functions for Power-Aware Serverless Computing

Lu Zhang

Chao Li

Xinkai Wang

Weiqi Feng

Zheng Yu

...

2023/5/15

MMBench: Benchmarking End-to-End Multi-modal DNNs and Understanding Their Hardware-Software Implications

Cheng Xu

Xiaofeng Hou

Jiacheng Liu

Chao Li

Tianhao Huang

...

2023/10/1

Nanosecond-scale power resource allocation method and system for microservices

2023/4/25

VELTAIR: towards high-performance multi-tenant deep learning services via adaptive compilation and scheduling

Zihan Liu

Jingwen Leng

Zhihui Zhang

Quan Chen

Chao Li

...

2022/2/28

See List of Professors in Chao Li University(Shanghai Jiao Tong University)

Co-Authors

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