Mentoring

It is my great pleasure to work with these talented and hard-working students!

Current Students

Xinkai Wang (co-advised with Prof. Chao Li, April 2023 ~ present)
Profile and Analysis of datacenter workloads
Current placement: Ph.D. Candidate at Shanghai Jiaotong University.

  • X Wang, H He, Y Li*, C Li, X Hou, J Wang, Q Chen, J Leng, M Guo, L Wang. Not All Resources are Visible: Exploiting Fragmented Shadow Resources in Shared-State Scheduler Architecture. SoCC, 2023

Cheng Xu (co-advised with Prof. Chao Li, May 2022 ~ present)
Multi-modal computing acceleration and optimization
Current placement: Ph.D. Candidate at Shanghai Jiaotong University.

Publications:

  • C Xu, X Hou, J Liu, C Li, T Huang, X Zhu, M Niu, L Sun, P Tang, T Xu, K.T. Cheng, M Guo. MMBench: Benchmarking End-to-End Multi-modal DNNs and Understanding Their Hardware-Software Implications. IISWC, 2023

  • X Hou, C Xu, J Liu, X Tang, L Sun, C Li, K.T. CHENG. Characterizing and Understanding End-to-End Multi-modal Neural Networks on GPUs. CAL, 2022

Jinyang Guo (co-advised with Prof. Chao Li, April 2023 ~ present)
Infrastructures, architectures and systems for edge microdatacenters
Current placement: Ph.D. Candidate at Shanghai Jiaotong University.

Tools:

  • MMBench[Github Code]: An End-to-End Benchmark Suite and Automated Toolkit for Multi-modal DNN Applications

Lingyu Sun (co-advised with Prof. Chao Li, April 2022 ~ present)
Energy-efficient system for heterogenous multi-modal platforms
Current placement: Master Student at Shanghai Jiaotong University.

Publications:

  • X Hou, C Xu, J Liu, X Tang, L Sun, C Li, K.T. CHENG. Characterizing and Understanding End-to-End Multi-modal Neural Networks on GPUs. CAL, 2022

Tongqiao Xu (co-advised with Prof. Chao Li, February 2022 ~ present)
PDMS for green multi-modal intelligent center
Current placement: Master Student at Shanghai Jiaotong University.

Awards:

  • T Xu, D Zhou, Third place of EADthon 2022

Peng Tang (co-advised with Prof. Chao Li, September 2022 ~ present)
Energy-effcient multi-modal sensing and computing systems
Current placement: Master Student at Shanghai Jiaotong University.

Undergraduate Studentsļ¼šXiaozhi Zhu, Tianhao Huang, Xinfeng Xia, Yunwei Li, Tianyu Zang, Mo Niu

Awards:

  • T Huang, X Zhu, M Niu, The First Prize of ACM SIGMETRICS SRC (Undergraduate Group)

Alumni

I wish them all the best for their future endeavors.

Xuehan Tang (co-advised with Prof. Chao Li, 2021 ~ 2022).
Placement: Master Student at EPFL

  • X Hou, C Xu, J Liu, X Tang, L Sun, C Li, K.T. CHENG. Characterizing and Understanding End-to-End Multi-modal Neural Networks on GPUs. CAL, 2022
  • X Hou*, J Liu, X Tang, C Li, J Chen, L Liang, K.T. CHENG, M Guo. Architecting Efficient Multi-modal AIoT Systems. ISCA, 2023

Jiacheng Liu (co-advised with Prof. Chao Li, 2019 ~ 2021).
Placement: Postdoctoral Fellow at The Chinese University of Hong Kong

  • X. Hou, C. Li, J. Liu, L. Zhang, Y. Hu, M. Guo. ANT-Man: Towards Agile Power Management in the Microservice Era. SC, 2020
  • J. Liu, X. Hou, F. Tang. Fine-Grained Machine Teaching with Attention Modeling. AAAI, 2020
  • X. Hou, J. Liu, C. Li, M. Guo. Unleashing the Scalability Potential of Power-Constrained Data Center in the Microservice Era. ICPP, 2019

Xinkai Wang (co-advised with Prof. Chao Li, May 2020 ~ September 2020).
Placement: Ph.D. Candidate at Shanghai Jiao Tong University.

  • X. Wang, C. Li, L. Zhang, X. Hou, Q. Chen, M. Guo.Exploring Efficient Microservice Level Parallelism. IPDPS, 2022.

Linqi Chen (co-advised with Prof. Chao Li, August 2019 ~ November 2019).
Placement: Undergraduate at Shanghai Jiao Tong University

  • First Prize of the 2nd SJTU-Wining Health Competition.

Mingyu Liang (co-advised with Prof. Chao Li, June 2018 ~ September 2019).
Placement: Ph.D. Candidate at Cornell University

  • X. Hou, M. Liang, C. Li, W. Zheng, Q. Chen, M. Guo. When Power Oversubscription Meets Traffic Flood Attack:Re-Thinking Data Center Peak Load Management. ICPP, 2019.

Luoyao Hao (co-advised with Prof. Chao Li, December 2017 ~ September 2018).
Placement: Ph.D. Candidate at Columbia University

  • X. Hou, L. Hao, C. Li, Q. Chen, W. Zheng, and M Guo. Power Grab in Aggressively Provisioned Data Centers: What is the Risk and What Can Be Done About It. ICCD, 2018.

Yu Qiu (co-advised with Prof. Chao Li, December 2017 ~ November 2018).
Placement: Staff at Alibaba Group

  • Project on PC-driven power modeling of datacenter servers

Jinghang Yang (co-advised with Prof. Chao Li, December 2017 ~ May 2018).
Placement: Master Student at Boston University

  • X. Hou, C. Li, J. Yang, W. Zheng, X. Liang, M.Guo. ā€Integrated Power Anomaly Defense: Towards Oversubscription-Safe Server Clustersā€. TCC, 2020