About Me

I am currently a Ph.D. candidate in John Hopcroft Center, Shanghai Jiao Tong University, under the esteemed guidance of professor Bo Jiang. I obtained my Bachelor’s Degree degree from Shanghai Jiao Tong University in 2019 and continued to pursue my master’s degree. In the second year of my master’s studies, I switched to pursuing a doctoral degree as I discovered my passion for scientific research. My research insterests include distributed training, programmable networks and container networks.

Download my CV: 中文简历/English Resume

Education

• Sept. 2019 ~ Mar. 2025 (expected) - Ph.D., Shanghai Jiao Tong University.
• Sept. 2015 ~ Jul. 2019 - Bachelor, Shanghai Jiao Tong University.

Publications

• Yunzhuo Liu, Junchen Guo, Bo Jiang, Yang Song, Pengyu Zhang, Rong Wen, Biao Lyu, Shunmin Zhu, Xinbing Wang, “FastIOV: Fast Startup of Passthrough Network I/O Virtualization for Secure Containers”. (in submission, 2024)
• Yunzhuo Liu, Junchen Guo, Pengyu Zhang, Bo Jiang, Xiaoqing Sun, Yang Song, Wei Ren, Zhiyuan Hou, Biao Lyu, Rong Wen, Shunmin Zhu, Xinbing Wang, “Understanding Network Startup for Secure Containers in Multi-Tenant Clouds: Performance, Bottleneck and Optimization”. (in submission, 2024)
• Yunzhuo Liu, Hao Nie, Hui Cai, Bo Jiang, Pengyu Zhang, Yirui Liu, Yidong Yao, Xionglie Wei, Biao Lyu, Chenren Xu, Shunmin Zhu, Xinbing Wang, “X-Plane: A High-Throughput Large-Capacity 5G UPF”. (MobiCom 2023)
• Peirui Cao, Shizhen Zhao, Dai Zhang, Zhuotao Liu, Mingwei Xu, Min Yee Teh, Yunzhuo Liu, Xinbing Wang, Chenghu Zhou. “Threshold-Based Routing-Topology Co-Design for Optical Data Center”. (ToN 2023)
• Yunzhuo Liu, Bo Jiang, Shizhen Zhao, Tao Lin, Xinbing Wang, Chenghu Zhou. “LIBRA: Contention-Aware GPU Thread Allocation for Data Parallel Training in High Speed Networks”. (INFOCOM 2023)
• Zimeng Huang, Bo Jiang, Tian Guo, Yunzhuo Liu. “Measuring the Impact of Gradient Accumulation on Cloud-based Distributed Training”. (CCGrid 2023)
• Yunzhuo Liu, Bo Jiang, Tian Guo, Zimeng Huang, Wenhao Ma, Xinbing Wang, Chenghu Zhou. “FuncPipe: A Pipelined Serverless Framework for Fast and Cost-efficient Training of Deep Learning Models”. (Sigmetrics 2023)
• Peirui Cao, Shizhen Zhao, Min Yee Teh, Yunzhuo Liu, Xinbing Wang. “TROD: Evolving From Electrical Data Center to Optical Data Center”. (ICNP 2021)
• Yunzhuo Liu, Bo Jiang, Tian Guo, Ramesh K. Sitaraman, Don Towsley, Xinbing Wang. “Grad: Learning for Overhead-aware Adaptive Video Streaming with Scalable Video Coding”. (ACM Multimedia 2020)

Internships

• May 2023 ~ Feb. 2024 - Research Intern at Alibaba Cloud.
• Oct. 2022 ~ May 2023 - Research Intern at Alibaba DAMO Academy, XG Lab.

Awards

• Hua Wei Scholarship, 2023.
• Second Prize for Outstanding Ph.D. Student in John Hopcroft Center, 2023.
• Hua Wei Scholarship, 2020.
• Third Prize for National Post-Graduate Mathematical Contest in Modeling, 2019.
• Second Prize in the National College Student Information Security Competition, 2018.

Teaching Assistant

• SJTU EI331: Signals and Systems, Spring 2021.
• SJTU CS257: Linear and Convex Optimization, Fall 2020.
• SJTU EI331: Signals and Systems, Spring 2020.