Shichao Xu
Ph.D Candidate

Design Automation of Intelligent Systems Lab (IDEAS)
Department of Computer Science
Northwestern University

L476, Technological Institute, 2145 Sheridan Road
Evanston, Evanston, IL, USA
About me | Education | Research Experience | Teaching | Publications | Projects | Awards

Email: shichaoxu2023@u.northwestern.edu
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About Me

I am a final-year Ph.D. candidate in the Computer Science Department at Northwestern University, and my advisor is Prof Qi Zhu. I also work collaboratively with Prof. Zheng O'Neill from Texas A\&M University, Prof. Xiao Wang, Prof. Zhaoran Wang from Northwestern University, Prof. Yanzhi Wang from Northeastern University. I received my undergraduate degree from Shanghai Jiao Tong University (ACM Honors Class) in 2018, directed by Prof. Liqing Zhang in BCMI Lab.

Research Interests

My current research interests mainly focus on Learning from Limited or Imperfect Data, especially for dealing with the problem of data insufficiency, and imperfect data quality. The related topics include deep representation learning, domain adaptation, self/weakly/semi-supervised learning, transfer learning, and reinforcement learning with application to vision, multimodal, and control problems.

Latest News

Education

Research Experience

Teaching

Publications

    [13] Dong Jiahua, Lixu Wang, Zhen Fang, Gan Sun, Shichao Xu, Xiao Wang, and Qi Zhu, “Federated Class-Incremental Learning” Conference on Computer Vision and Pattern Recognition (CVPR) 2022

    [12] Lixu Wang*, Shichao Xu*, Ruiqi Xu, Xiao Wang, and Qi Zhu, “Non-Transferable Learning: A New Approach for Model Verification and Authorization” International Conference on Learning Representations (ICLR) 2022, Oral

    [11] Fu Yangyang, Shichao Xu, Qi Zhu, and Zheng O’Neill, “Containerized Framework for Building Control Performance Comparisons: Model Predictive Control vs Deep Reinforcement Learning Control” The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys), Nov 17-18, 2021, Coimbra, Portugal (FATEsys 2021)

    [10] Shichao Xu, Yangyang Fu, Yixuan Wang, Zheng O'Neill, Qi Zhu, “Model-assisted Learning-based Framework for Sensor Fault-Tolerant Building HVAC Control” The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys), Nov 17-18, 2021, Coimbra, Portugal (acceptance ratio = 26%)

    [9] Shichao Xu*, Lixu Wang*, Yixuan Wang, and Qi Zhu, “Weak Adaptation Learning--Addressing Cross-domain Data Insufficiency with Weak Annotator” IEEE/CVF International Conference on Computer Vision (ICCV) 2021

    [8] Lixu Wang, Shichao Xu, Xiao Wang, and Qi Zhu, “Addressing Class Imbalance in Federated Learning” The 35th Conference on Artificial Intelligence (AAAI), A Virtual Conference, 2021

    [7] Qi Zhu, Chao Huang, Ruochen Jiao, Shuyue Lan, Hengyi Liang, Xiangguo Liu, Yixuan Wang, Zhilu Wang, Shichao Xu, “Safety-Assured Design and Adaptation of Learning-Enabled Autonomous Systems” The 26th Asia and South Pacific Design Automation Conference (ASP-DAC'21). Virtual Conference. Jan. 2021

    [6] Yixuan Wang, Chao Huang, Zhilu Wang, Shichao Xu, Zhaoran Wang, Qi Zhu, “Cocktail: Learn a Better Neural Network Controller from Multiple Experts via Adaptive Mixing and Robust Distillation” The 58th ACM/IEEE Design Automation Conference (DAC), Virtual Conference, 2021

    [5] Rumia Masburah, Rajib Lochan Jana, Ainuddin Khan, Shichao Xu, Shuyue Lan, Soumyajit Dey, Qi Zhu, “Adaptive Learning Based Building Load Prediction for Microgrid Economic Dispatch” Design, Automation & Test in Europe Conference & Exhibition (DATE), 2021

    [4] Shichao Xu, Yixuan Wang, Yanzhi Wang, Zheng O'Neill, and Qi Zhu, “One for Many: Transfer Learning for Building HVAC Control” The 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys '20), November 18--20, 2020, Virtual Event, Japan

    [3] Shichao Xu, Shuyue Lan, and Zhu Qi, “MaskPlus: Improving Mask Generation for Instance Segmentation” The IEEE Winter Conference on Applications of Computer Vision. 2020

    [2] Chao Huang, Shichao Xu, Zhilu Wang, Shuyue Lan, Wenchao Li, and Qi Zhu, “Opportunistic Intermittent Control with Safety Guarantees for Autonomous Systems” The 57th ACM/IEEE Design Automation Conference (DAC), San Francisco, CA, USA, 2020

    [1] Lixu Wang, Shichao Xu, Xiao Wang, Qi Zhu, “Eavesdrop the Composition Proportion of Training Labels in Federated Learning” Arxiv Preprint, 2019

Projects


Awards

  • 2022, Richter Memorial Fund Fellowship
  • 2021, DAC2021 Young Fellows program
  • 2018-2019, Northwestern University Ph.D. Fellowship
  • 2014-2018, Zhiyuan College honor scholarship, ShanghaiJiaoTong University
  • 2014-2018, Excellent students’ scholarship, ShanghaiJiaoTong University
  • 2013, Bronze medal in National Olympiad in Informatics
  • 2012, Gold medal in National Olympiad in Informatics in Provinces