Yicheng Liu

I am a second-year Ph.D. student at UCLA, co-advised by Sam Kumar and Harry Xu. I was an undergraduate student at Shanghai Jiao Tong University (SJTU).

When I was an undergraduate student at SJTU, I was an intern at Institution of Parallel And Distributed System (IPADS), advised by Jinyu Gu. In the 2024 Summer, I was an intern in University of Washington, System Group, advised by Baris Kaciksi and mentored by Yigong Hu. In the 2023 Summer, I visited and took part in the research in University of Michigan, OrderLab, advised by Ryan Huang.

Research Interests

Make system secure and reliable: Resource contention is awkward. Some abnormal workloads leading the system to severe contention depresses the reliability. Other malicious users making use of the contention to launch DoS attack harms the security. I work toward analyzing and mitigating the contention with some novel mechanisms.

Make secure and reliable system faster: Security is expensive. The software solution costs efficiency. The hardware solution costs money. I seek a co-design approach to accelerate current solutions while making minimal changes to existing hardware.

AI 4 SYS: I have experience in AI research and am eager to combine this expertise with system research.

Research Experiences

University of Washington, System Group, advised by Baris Kasikci

  • Static analysis for resource contention guided with LLM.

University of Michigan, OrderLab, advised by Ryan Huang

  • Develop an auto cancellation system in Java.

Shanghai Jiao Tong University, Institution of Parallel And Distributed System (IPADS), advised by Jinyu Gu

  • Develop an autopilot system.
  • Develop a sanitizer system in institution's own micro kernel operating system.
  • Research in container security.

Shanghai Jiao Tong University, John Hopcoft Institution, advised by Guanjie Zheng

  • Opensource an large scale traffic simulator.
  • Research in offline reinforcement learning under traffic signal control (TSC) problem.
  • Research in an general proposed large traffic flow model.

Shanghai Jiao Tong University, Intelectual Computer Architecture Technology, advised by Zefang Yu

  • Develop an automated human pose estimation (HPE) dataset collector.

Publications

Yigong Hu, Zeyin Zhang, Yicheng Liu, Yile Gu, Shuangyu Lei, Baris Kasikci, Peng Huang
ACM Symposium on Operating Systems Principles (SOSP 25)

Chumeng Liang, Zherui Huang, Yicheng Liu, Zhanyu Liu, Guanjie Zheng, Hanyuan Shi, Kan Wu, Yuhao du, Fuliang Li, Zhenhui Jeesie Li
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 23)

Zefang Yu, Yangcheng Li, Yicheng Liu, Ting Liu, Yuzhuo Fu
International Conference on Acoustics, Speech and Signal Processing (ICASSP 22)