About Me



I am a third-year graduate student at EECS@MIT supervised by Prof. Gregory Wornell. I obtained my bacholor of science degree in computer engineering at UIUC, where I was fortunate to be advised by Prof. Yoram Bresler and Prof. Sanmi Koyejo.

I aim to enhance the reliability of machine learning systems. I have broad interests in various research topics within the realm of trustworthy learning, with a particular focus on uncertainty quantification (UQ). My recent research works are centered on improving reliability and interpretability of large language model (LLM).

Education

University of Illinois at Urbana-Champaign(UIUC)

2017 - 2021

B.S. in Computer Engineering

GPA: 4.0/4.0

Graduated with Highest Honors and Bronze Tablet

Massachusetts Institute of Technology(MIT)

2021 - 2023

M.S. in Electrical Engineering and Computer Science

2023 -

Ph.D. in Electrical Engineering and Computer Science

GPA: 5.0/5.0

Work Experience

Research Internship at MIT-IBM Watson AI Lab

Summer 2022, Summer 2023

Publications

Group Fairness with Uncertainty in Sensitive Attributes.(Under Review)
  Abhin Shah, Maohao Shen, Jongha Jon Ryu, Subhro Das, Prasanna Sattigeri, Yuheng Bu, Gregory Wornell.

On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation.   [code]
  Maohao Shen, Yuheng Bu, Gregory Wornell.
  In International Conference on Machine Learning (ICML), 2023.

Reliable Gradient-free and Likelihood-free Prompt Tuning.   [code]
  Maohao Shen, Soumya Ghosh, Prasanna Sattigeri, Subhro Das, Yuheng Bu, Gregory Wornell.
  In Conference of the European Chapter of the Association for Computational Linguistics, Findings (EACL), 2023.

Post-hoc Uncertainty Learning using a Dirichlet Meta-Model.   [code]
  Maohao Shen, Yuheng Bu, Prasanna Sattigeri, Soumya Ghosh, Subhro Das, Gregory Wornell.
  In AAAI Conference on Artificial Intelligence (AAAI), 2023.

Batch Active Learning from the Perspective of Sparse Approximation.
  Maohao Shen*, Bowen Jiang*, Jacky Y. Zhang*, Oluwasanmi Koyejo.
  In NeurIPS 2022 Workshop on Human in the Loop Learning.

Labeling Cost Sensitive Active Learning for Brain Tumor Segmentation.
  Maohao Shen, Jacky Y. Zhang, Leihao Chen, Weiman Yan, Neel Jani, Brad Sutton, Oluwasanmi Koyejo.
  In IEEE International Symposium on Biomedical Imaging (ISBI’21), 2021.

Dimensionality Reduction Via Diffusion Map Improved with Supervised Linear Projection.
  Bowen Jiang*, Maohao Shen*.
  In IEEE International Conference on Image Processing (ICIP’20), 2020.

(* indicates equal contribution)

Awards

• Irwin Mark Jacobs and Joan Klein Jacobs Presidential Fellowship, MIT (2021)

• Edward C. Jordan Award, Dept. of Electrical & Computer Engineering, UIUC (May 2021)

• Henry O. Koehler Merit Scholarship, Dept. of Electrical & Computer Engineering, UIUC (Sept 2020)

• Sargent and Lundy Engineering Scholarship, College of Engineering, UIUC (May 2020)

• TechnipFMC, College of Engineering, UIUC (May 2020)

• Ellery B. Paine Outstanding Junior Award, Dept. of Electrical & Computer Engineering, UIUC (May 2020)

• George A. and Ina M. Zehr Scholarship, Dept. of Electrical & Computer Engineering, UIUC (Sept 2019)

• Dean’s List, UIUC (2017-2021)

• James Scholar, UIUC (2017-2021)

Contact

maohao@mit.edu

maohaos2@illinois.edu

Misc.

• I like scuba diving and I am a PADI certified Advanced Open Water diver.

• I am a gourmet and I am good at cooking all kinds of dishes.

• I love Gelato.