Research
Andrew Ng has authored or co-authored over 200 research papers in machine learning, robotics, computer vision, and natural language processing. His work spans foundational contributions to deep learning, reinforcement learning, and data-centric AI — from the Stanford AI Lab and the Google Brain project to applied research at Baidu and beyond.
Recent Publications
Spatiotemporal Pyramid Flow Matching for Climate Emulation
JA Irvin, J Han, Z Wang, A Alharbi, Y Zhao, NE Bayarsaikhan, D Visioni et al. · arXiv
Data centric mislabel detection
YQ Zhou, D Laird, Y Zhang, AYT Ng, D Bibireata, K Yang, S Jagadeesan et al. · US Patent
STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for CRC Histopathology
B Subramanian, R Jeyaraj, MN Peterson, T Guo, N Shah, C Langlotz et al. · The Thirty-ninth Annual Conference on Neural Information Processing Systems …
Regional mapping of natural gas compressor stations in the United States and Canada using deep learning on satellite imagery
B Liu, J Irvin, M Omara, C Wang, G Kornberg, H Sheng, R Gautam, AY Ng et al. · Journal of Environmental Management 393, 126728
Guided workflow for deep learning error analysis
MW Sabini, K Yang, AYT Ng, D Bibireata, D Laird, W Blodgett, Y Liu et al. · US Patent App. 19/219,822
Model Management System for Improving Training Data Through Machine Learning Deployment
D Bibireata, AYT Ng, P He, Z Qiu, C Iral, M Zhang, A Leal, J Guan et al. · US Patent App. 19/218,054
MedAgentBench: a virtual EHR environment to benchmark medical LLM agents
Y Jiang, KC Black, G Geng, D Park, J Zou, AY Ng, JH Chen · Nejm Ai 2 (9), AIdbp2500144
Uq: Assessing language models on unsolved questions
F Nie, KZ Liu, Z Wang, R Sun, W Liu, W Shi, H Yao, L Zhang, AY Ng et al. · arXiv
Coreset generation for pretraining of large vision models
MW Sabini, A Bouzid, BD Renjifo, D Bibireata, AYT Ng · US Patent App. 18/987,437
Model management system for improving training data through machine learning deployment
D Bibireata, AYT Ng, P He, Z Qiu, C Iral, M Zhang, A Leal, J Guan et al. · US Patent