I am currently a second year master Computer Science at Stanford University, where I’m fortunate to work with Prof. Stefano Ermon. My primary research focus is in machine learning, focusing on Generative AI and AI4Science. I am committed to creating advanced AI technologies that address real-world challenges and have significant societal benefits.

Previously, I received my B.S. (Phi Beta Kappa) from Emory University double majoring in Applied Math & Statistics and Computer Science. At Emory, I researched on explainable AI and machine learning for healthcare, advised by Prof. Liang Zhao and Prof. Joyce Ho. By developing explanation algorithms, I hope to extend my expertise and make machine learning interpretable for people outside of the field, especially in high-stakes domains such as healthcare.

Selected Publications

• (NeurIPS 2024) Aligning target-aware molecule diffusion models with exact energy optimization
  Siyi Gu*, Minkai Xu*, Alexander Powers, Weili Nie, Tomas Geffner, Karsten Kreis, Jure Leskovec, Arash Vahdat, Stefano Ermon
  [Paper]
• (SIGKDD 2023) ESSA: Explanation iterative supervision via saliency-guided data augmentation
  Siyi Gu*, Yifei Zhang*, Yuyang Gao, Xiaofeng Yang, Liang Zhao
  [Paper]
• (IJCAI 2024) Visual Attention-Prompted Prediction and Learning
  Yifei Zhang, Siyi Gu, Bo Pan, Guangji Bai, Xiaofeng Yang, Liang Zhao
  [Paper]
• (Arxiv) XAI Benchmark for visual explanation
  Yifei Zhang, Siyi Gu, James Song, Bo Pan, Guangji Bai, Liang Zhao
  [Paper]
• (ACM Computing Surveys) Going beyond xai: A systematic survey for explanation-guided learning
  Yuyang Gao, Siyi Gu, Junji Jiang, Sungsoo Ray Hong, Dazhou Yu, Liang Zhao
  [Paper]
• (SIGKDD 2022) RES: A robust framework for guiding visual explanation
  Yuyang Gao, Tong Steven Sun, Guangji Bai, Siyi Gu, Sungsoo Ray Hong, Zhao Liang
  [Paper]
• (ICCV 2023) MAGI: Multi-annotated explanation-guided learning
  Yifei Zhang, Siyi Gu, Yuyang Gao, Bo Pan, Xiaofeng Yang, Liang Zhao
  [Paper]
• (CIN 2024) Evaluating Natural Language Processing Packages for Predicting Hospital-Acquired Pressure Injuries From Clinical Notes
  Siyi Gu, Eric W Lee, Wenhui Zhang, Roy L Simpson, Vicki Stover Hertzberg, Joyce C Ho
  [Paper]

Selected Awards & Honors

• Outstanding Project, CS 224N, Stanford Univeristy, 2024
• Highest Honors in Computer Science, Emory University, 2023
• Academic Excellence Award, Emory University, 2023
• Phi Beta Kappa, Emory University, 2023