[1]. Alen Sabu, Qiu Zhantong, Patil Harish, Liu Changxi, Heirman Wim, Jason Lowe-Power, Trevor E. Carlson. Accelerating the Simulation of Parallel Workloads using Loop-Bounded Checkpoints. in ACM Transactions on Architecture and Code Optimization (TACO 2026).
CV
Education
- Ph.D in National University of Singapore, Aug. 2021 - Sep. 2025
- M.S. in Beihang University, Sep. 2017 - Jan. 2020
- B.S. in Beihang University, Sep. 2013 - Jun. 2017
Acadamic Work experience
- Reserch Fellow, Nov. 2025 - Present
- National University of Singapore
Publications
[2]. Alen Sabu, Harish Patil, Wim Heirman, Liu Changxi, Trevor E. Carlson. XPU-Point: Simulator-Agnostic Sample Selection Methodology for Heterogeneous CPU-GPU Applications. in International Conference on Parallel Architectures and Compilation Techniques (PACT 2025).
[3]. Liu Changxi, Yu Miao, Sun Yifan, Trevor E. Carlson. The Sparsity-Aware LazyGPU Architecture in International Symposium on Computer Architecture (ISCA 2025).
[4]. Liu Changxi*, Alen Sabu*, Akanksha Chaudhari, Qingxuan Kang, Trevor E. Carlson. Pac-Sim: Simulation of Multi-threaded Workloads using Intelligent, Live Sampling in ACM Transactions on Architecture and Code Optimization (TACO 2024).
[5]. Li Mingzhen*, Liu Changxi*, Liao Jianjin, Zheng Xuegui, Yang Hailong, Sun Rujun, Xu Jun, Gan Lin, Yang Guangwen, Luan Zhongzhi, Qian Depei. Towards optimized tensor code generation for deep learning on sunway many-core processor in Frontiers of Computer Science (FCS 2024).
[6]. Liu Changxi, Sun Yifan, Trevor E. Carlson. Photon: A Fine-grained Sampled Simulation Methodology for GPU Workloads in International Symposium on Microarchitecture (MICRO 2023).
[7]. You Xin*, Liu Changxi*, Yang Hailong, Wang Pengbo, Luan Zhongzhi, and Qian Depei Vectorizing SpMV by Exploiting Dynamic Regular Patterns. in International Conference on Parallel Processing (ICPP 2022).
[8]. Liu Changxi, Xie Biwei, Liu Xin, Xue Wei, Yang Hailong, and Liu Xu. Towards efficient spmv on sunway manycore architectures in International Conference on Supercomputing (ICS 2018).
[9]. Liu Changxi, Yang Hailong, Wang Rui, Luan Zhongzhi, and Qian Depei. T1000: Mitigating the memory footprint of convolution neural networks with decomposition and re-fusion in Future Generation Computer Systems (FGCS 2018).
- *Authors with equal contribution.
Award
- Travel Grant (ISCA 2025, MICRO 2023, ISCA 2022)
- Research Achievement Award, National University of Singapore (2023)
- Excellent Graduate, Beihang University (2020)
- National Scholarship, China (2018)
- Annual ISC-HPCAC Student Cluster Competition (ISC 2017): Bronze Prize
- Asia Student Supercomputer Challenge (ASC 2017): Silver Prize (team leader)
Teaching
CS3210 Parallel Computing, National University of Singapore, School of Computing Jan. 2025-May. 2025.
CS3210 Parallel Computing, National University of Singapore, School of Computing Aug. 2024-Nov. 2024.
Service
Program Committee
- IEEE/ACM International Symposium on Microarchitecture (MICRO) — 2026
- International Symposium on Computer Architecture (ISCA) — 2026
- GPGPU 2026 — 2026
- 3rd Workshop on Computer Architecture Modeling and Simulation (CAMS) — 2025
- 2nd Workshop on Computer Architecture Modeling and Simulation (CAMS) — 2024
Journal Reviewer
- ACM Transactions on Architecture and Code Optimization (TACO) — 2026
- The Journal of Supercomputing — 2025