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Yan Li/李炎

Languages

  • Chinese (Native)
  • English (Fluent)

Interests

  • Basketball
  • Photography

Brief Introduction

Hi, welcome to my homepage! I am Yan Li/李炎. I received my PhD degree in Computer Software and Theory from Software Engineering Institue, School of Computer Science, Peking University. Currently, I am a Research Engineer at Huawei. My research mainly focuses on large-scale deep learning systems, performance optimization of LLM inference engine, system-model co-design, etc.

Education

PhD in Computer Software and Theory

2018 - 2023
Peking University (co-advised by Prof. Hong Mei & Prof. Donggang Cao)
  • Scholarship of Schlumberger, Dec. 2019.
  • Scholarship of Schlumberger, Dec. 2020.

BSc in Computer Science

2014 - 2018
Peking University
  • Award of Scientific Research, Dec. 2017.
  • Meritorious Winner of Mathematical Contest in Modeling, Apr. 2017.
  • Scholarship of Freshman, Sep. 2014.
  • Courses: Lab. on Operating Systems(94)/Computer Network(94)/Advanced Algebra(92)/Lab. on Compiler Design(91)/Mathematical Logic(91)/Mathematical Analysis(90)/etc.

Experiences

Research Engineer

2023.07 - Now
Huawei, Beijing

Research Intern

2022.02 - 2022.07
Bytedance, Beijing

Intern of Recommendation Algorithm Engineer

2018.01 - 2018.08
Bytedance, Beijing

Intern of Operating System Development Engineer

2017.07 - 2017.08
Huawei, Beijing

Projects

Here are some of the projects I participated in before.

SamProf - An application-oblivious profiler for cloud-hosted deep learning workloads.
Docklet - A cloud operating system for VPC (virtual private cloud).
Akame - A high-available and cost-efficient cloud-of-clouds storage service.

Publications

Here are some of my publications.

Performance Modeling for Cloud-hosted Deep Learning Services with Hybrid Representation
Yan Li, Donggang Cao, Hong Mei
WIP
SamProf: Top-down Performance Analysis for Neural Networks via Instruction Sampling
Yan Li, Pengcheng Li, Donggang Cao, Hong Mei
WIP
Sectum: Accurate Latency Prediction for TEE-hosted Deep Learning Inference
Yan Li, Junming Ma, Donggang Cao, Hong Mei
The 42th IEEE International Conference on Distributed Computing Systems (ICDCS 2022), Bologna, Italy, Jul 10-Jul 13, 2022
SpotTune: Leveraging Transient Resources for Cost-efficient Hyper-parameter Tuning in the Public Cloud
Yan Li, Bo An, Junming Ma, Donggang Cao, Yasha Wang, Hong Mei
The 40th IEEE International Conference on Distributed Computing Systems (ICDCS 2020), Singapore, Nov 29-Dec 1, 2020
PrTaurus: An Availability-Enhanced EMR Service on Preemptible Cloud Instances
Junming Ma, Yan Li, Xiangqun Chen, Donggang Cao
2020 IEEE International Conference on Web Services (ICWS 2020). IEEE, Beijing, China, Oct 18-24, 2020
Cross-domain Workloads Performance Prediction via Runtime Metrics Transferring
Yan Li, Junming Ma, Donggang Cao
The 11th International Workshop on Joint Cloud Computing (JCC2020), Oxford, UK, Aug 3-6, 2020
CloudMeter: A Tool To Select the Best Cloud Service
Dian Jin, Yan Li, Donggang Cao
The 11th International Workshop on Joint Cloud Computing (JCC2020), Oxford, UK, Aug 3-6, 2020
DCStore: A Deduplication-Based Cloud-of-Clouds Storage Service
Bo An, Yan Li, Junming Ma, Donggang Cao, Gang Huang
IEEE International Conference on Web Service (ICWS 2019), Milan, Italy, Jul 8-13, 2019
Comparison between Chunk-based and Layer-based Container Image Storage Approaches: an Empirical Study
Yan Li, Bo An, Junming Ma, Donggang Cao
The 10th International Workshop on Joint Cloud Computing (JCC2019), San Francisco, USA, Apr 4-9, 2019
GPU Scheduling for Short Tasks in Private Cloud
Jialun Shao, Junming Ma, Yan Li, Bo An, Donggang Cao
The 10th International Workshop on Joint Cloud Computing (JCC2019), San Francisco, USA, Apr 4-9, 2019
BDViewer - A Web-Based Big Data Processing and Visualization Tool
Yan Li, Bo An, Junming Ma, Donggang Cao
IEEE International Conference on Computers Software and Applications (COMPSAC2018), Tokyo, Japan, Jul 23-27, 2018