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Chunwei Xia

Chunwei Xia

  • Position: Lecturer
  • Areas of expertise: Compiler optimisation; heterogenous computing; deep learning for system
  • Email: C.Xia@leeds.ac.uk
  • Location: 3.25 Sir William Henry Bragg Building
  • Website: Googlescholar

Profile

Working Experience

School of Computer Science, University of Leeds, Leeds, UK. Oct. 2024 – Now

Lecture of Intelligent Software Technology

School of Computer Science, University of Leeds, Leeds, UK. May 2023 – Sep. 2024

Research Fellow in Program Optimization

Advisor: Prof. Dr. Zheng Wang

Education:

Institute of Computing Technology, Chinese Academic of Science, Beijing, China Sep. 2016 - Dec. 2022
Doctor of Engineering in Computer System and Architecture
Advisor: Prof. Dr. Huimin Cui and Prof. Dr. Xiaobing Feng


Tianjin University, Tianjin, China Sep. 2012 - Jun. 2016
Bachelor of Computer Science and Technology

Awards:

2023 SIGHPC China Doctoral Dissertation Award!

PhD Students:

Xiao Qin (Ph.D. student starting Fall 2024,  co-advised with Zheng Wang)

Yucheol Choi  (Ph.D. student starting Fall 2024, co-advised with Zheng Wang)

Publications:

N Lin, S Wang, X Zhang, S Wang, Y He, W Zhang, B Wang, C Xia, W Xuan, X Chen, D Shang and Z Wang. “LSMR: Synergy Randomness in Liquid State Machine and RRAM-based Analog-digital Accelerator”, ACM/IEEE International Conference on Computer-Aided Design (ICCAD 2024, Core Rank A, CCF-A), 2024

S Zhang, J Zhao, C Xia, ZWang, Y Chen, H Cui, Introducing Compiler Semantics into Large Language Models as Programming Language Translators: A Case Study of C to x86 Assembly, in submitting to The 62nd Annual Meeting of the Association for Computational Linguistics (EMNLP 2024, Core Rank A*, CCF-A), 2024

H Wang, Z Tang, S Tan, J Wang, Y Liu, H Fang, C Xia, Z Wang, Combining Structured Static Code Information and Dynamic Symbolic Traces for Software Vulnerability Prediction, the International Conference on Software Engineering (ICSE 2024, Core Rank A*, CCF-A, Artifact Evaluated!), 2023

C Xia, J Zhao, H Cui, X Feng, Optimizing Deep Learning Inference via Global Analysis and Tensor Expression, ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2024, Core Rank A*, CCF-A), 2023

C Xia, J Zhao, H Cui, X Feng, HOPE: A Heterogeneity-Oriented Parallel Execution Engine for Inference on Mobiles, High Technology Letters, 2022

N Lin, X Chen, C Xia, J, Ye, X Li, ChaoPIM: A PIM-based Protection Framework for DNN Accelerators Using Chaotic Encryption, 2021 IEEE Asian Test Symposiumn (ATS, CCF-C), 2021

C Xia, J Zhao, H Cui, X Feng, J Xue, Dnntune: Automatic benchmarking DNN models for mobile-cloud computing, ACM Transactions on Architecture and Code Optimization (TACO, Core Rank B, CCF-A) 16 (4), 1-26, 2019

C Xia, J Zhao, H Cui, X Feng, Characterizing DNN models for edge-cloud computing, 2018 IEEE International Symposium on Workload Characterization (IISWC), 82-83, 2018

J Zhao, Y Chang, D Li, C Xia, H Cui, K Zhang, X Feng, On retargeting the ai programming framework to new hardware, IFIP International Conference on Network and Parallel Computing (NPC, Core Rank C, CCF-C), 39-51, 2018

Responsibilities

  • Lecturer at School of Computer Science
  • Member of the Distributed Systems and Services Group at Leeds

Research interests

My research agenda is to make improve the performance and efficiency of system softwares that is transparent to programmers.

My research interests include:

  • Large Language Model for Compiler Optimization.
  • Accelerate large-scale deep learning models
  • Heterogenous computing

I am looking for highly self-motivated Ph.D students that are interested in AI and system software optimization.  Scholarships are available for outstanding candidates with good publication records.

I co-supervise Ph.D students with  Prof. Zheng Wang. Have a look at my research interests and recent publications. If any of those grab you, email me a CV and a short text describing your background. 

<h4>Research projects</h4> <p>Some research projects I'm currently working on, or have worked on, will be listed below. Our list of all <a href="https://eps.leeds.ac.uk/dir/research-projects">research projects</a> allows you to view and search the full list of projects in the faculty.</p>

Student education

In session 2024-2025, I am the module member for a number of undergradute modules.

I also supervise the MSc project.

<h4>Postgraduate research opportunities</h4> <p>We welcome enquiries from motivated and qualified applicants from all around the world who are interested in PhD study. Our <a href="https://phd.leeds.ac.uk">research opportunities</a> allow you to search for projects and scholarships.</p>
Projects
    <li><a href="//phd.leeds.ac.uk/project/2008-democratise-large-deep-learning-models">Democratise Large Deep Learning Models</a></li> <li><a href="//phd.leeds.ac.uk/project/2156-high-level-pattern-aware-parallel-software-development">High-level Pattern-aware Parallel Software Development</a></li>