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 - May. 2026
  • National University of Singapore

Publications

[1]. Lingfeng Pei, Changxi Liu, Xiaoyu Cheng, Trevor E. Carlson. RekSai: Covert Channel Attacks via GPU Last-Level Caches in International Conference on Computer-Aided Design (ICCAD 2026).
Topics: security gpu

[2]. Qi Luo, Kunlin Li, Changxi Liu, Dongsheng Wang, Yun Chen. PHANTOM: Phase-Aware Power Management for Energy-Efficient LLM Training. in The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC 2026).
Topics: hpc ai

[3]. 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).
Topics: simulation cpu

[4]. 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).
Topics: simulation cpu gpu

[5]. Liu Changxi, Yu Miao, Sun Yifan, Trevor E. Carlson. The Sparsity-Aware LazyGPU Architecture in International Symposium on Computer Architecture (ISCA 2025).
Topics: gpu

[6]. 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).
Topics: simulation cpu

[7]. 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).
Topics: compiler hpc ai

[8]. Liu Changxi, Sun Yifan, Trevor E. Carlson. Photon: A Fine-grained Sampled Simulation Methodology for GPU Workloads in International Symposium on Microarchitecture (MICRO 2023).
Topics: simulation gpu

[9]. 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).
Topics: hpc compiler

[10]. 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).
Topics: hpc

[11]. 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).
Topics: hpc ai

*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

• IEEE Transactions on Computers (TC)
• ACM Transactions on Architecture and Code Optimization (TACO)
• The Journal of Supercomputing