Yaoqing Yang

Biography

Yaoqing Yang, PhD, is a Research Affiliate at ICSI and an Assistant Professor at Dartmouth College. His research draws inspiration from statistical learning and information theory. He studies the fundamental aspects of machine learning, with a focus on diagnosing and mitigating failures in machine learning models. His recent work advances diagnosable, generalizable, and robust deep neural networks, applying these principles to practical data analytics, including 3D point clouds and graph neural networks.

Dr. Yang completed postdoctoral work at UC Berkeley and received a PhD from Carnegie Mellon University and BS from Tsinghua University in China. He also worked as a research intern at Microsoft, MERL, and Bell Labs.

Publications

Selected Honors & Awards

• Best paper finalist, ICDCS
• 2015 John and Claire Bertucci Fellowship

Selected Leadership Activities

• NSF Reviewer
• Area Chair: ICLR 2024, 2025; NeurIPS 2023, 2024
• Session Chair: KDD 2023, IEEE BigData 2021
• Technical program committee member and reviewer for many conferences and journals

ICSI Activity