About Me

I’m a fifth-year PhD student majoring in Computer Science. My primary research focus spans ​​systems architecture​​ and ​​resource virtualization​​, with specialized expertise in:

• Operating Systems (Virtualization, Linux kernel, and resource management)
• Lightweight Virtualization and Secure Containerization (WebAssembly, Unikernels, micro-VMs)
• Disaggregated Memory systems (RDMA, CXL)

Publications

[1] Enhancing embedded systems development with TS^-. Automated Software Engineering. 31(1): 6 (2024). Xingzi Yu, Wei Tang, Tianlei Xiong, Wengang Chen, Jie He, Bin Yang, Zhengwei Qi

[2] Rethinking Virtual Machines Live Migration for Memory Disaggregation. 2023 IEEE International Conference on Cluster Computing (CLUSTER). sXingguo Jia, Xingzi Yu, Yun Wang, Senhao Yu, Zhengwei Qi

[3] Exploring Efficient Hardware Accelerator for Learning-Based Image Compression. 2025 IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD). Chen Chen, Haoyang Zhang, Kaicheng Guo, Xingzi Yu, Weidong Qiu, Zhengwei Qi

[4] WaSC: Hardening WebAssembly Sandboxes via System Interface Decoupling. Under Submission. Xingzi Yu, Tianlei Xiong, Wei Tang, Hao Wang, Yufan Jiang, Chen Chen, Yun Wang, Bo Peng, Zhengwei Qi

[5] HyperSwap: Resilient Disaggregated Memory with Transparent Deployment. Under Submission. Xingzi Yu, Wenda Tang, Muliang Shou, Tianlei Xiong, Songtao Xue, Zhixiang Wei, Chen Chen, Jie Wu, Zhengwei Qi

[6] SplitLLM: Adaptive Prefill-Decode Splitting of Large Language Models for Efficient Inference on Edge Devices. Under Submission. Xingzi Yu, Yijin Sun, Yun Wang, Xin Zhang, Rui Huang, Qiming Shi, Yong Yao, Luhai Chen, Yu Wang, Mohammad Reza Haghighat, Zhengwei Qi