HELLO, I'M SHUMAN 

About Me

Hello! 👋 My name is Shuman. I am a Ph.D. student studying Computing Science at Simon Fraser University. I lead an active lifestyle, and I especially enjoy outdoor activities. In the summer months, I can be found hiking and running, and in the winter months, I can be found on the local mountains snowboarding and snowshoeing.  Aside from research, I also enjoy reading books (nonfiction & memoirs, in particular), sketching/painting, baking, working out, and producing music.  Some of my hobbies are shown here. 

Thank you for visiting! Enjoy your day! 🔅

Research

I am part of the Ester Lab, and my supervisor is Prof. Martin Ester. My research focuses primarily on out-of-distribution generalization, self-supervised representation learning, and uncertainty quantification.

Publications & Manuscripts

Improving OOD Generalization of Pre-trained Encoders via Aligned Embedding-Space Ensembles [Paper]

Shuman Peng, Arash Khoeini, Sharan Vaswani, and Martin Ester

Unifying Representations in Neural Models (UniReps) Workshop at NeurIPS 2024. 

Self-supervised Learning (SSL) Workshop at NeurIPS 2024.

Informed Augmentation Selection Improves Tabular Contrastive Learning [Paper]

Arash Khoeini*, Shuman Peng*, and Martin Ester

Self-supervised Learning (SSL) Workshop at NeurIPS 2024.

Better Calibration Error Estimation for Reliable Uncertainty Quantification [Paper]

Shuman Peng*, Parsa Alamzadeh*, and Martin Ester

3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH) at ICML 2023. 

Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification [Paper]

Shuman Peng, Weilian Song, and Martin Ester.

arXiv preprint 2020. 

AITL: Adversarial Inductive Transfer Learning with input and output space adaptation for pharmacogenomics [Paper]

Hossein Sharifi-Noghabi, Shuman Peng, Olga Zolotareva, Colin C. Collins, and Martin Ester.

Bioinformatics, Volume 36, Issue Supplement_1, Pages i380–i388. (Presented at ISMB 2020)