CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning. - Pranav Rajpurkar; Jeremy Irvin; Kaylie Zhu; Brandon Yang; Hershel Mehta; Tony Duan; Daisy Yi Ding; Aarti Bagul; Curtis P. Langlotz; Katie S. Shpanskaya; Matthew P. Lungren; Andrew Y. Ng (CoRR, 2017)

MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs. - Pranav Rajpurkar; Jeremy Irvin; Aarti Bagul; Daisy Yi Ding; Tony Duan; Hershel Mehta; Brandon Yang; Kaylie Zhu; Dillon Laird; Robyn L. Ball; Curtis P. Langlotz; Katie S. Shpanskaya; et al. (CoRR, 2017)

Sample-Efficient Deep RL with Generative Adversarial Tree Search. - Kamyar Azizzadenesheli; Brandon Yang; Weitang Liu; Emma Brunskill; Zachary C. Lipton; Animashree Anandkumar (CoRR, 2018)

CondConv: Conditionally Parameterized Convolutions for Efficient Inference. - Brandon Yang; Gabriel Bender; Quoc V. Le; Jiquan Ngiam (NeurIPS, 2019)

Soft Conditional Computation. - Brandon Yang; Gabriel Bender; Quoc V. Le; Jiquan Ngiam (CoRR, 2019)

Using Videos to Evaluate Image Model Robustness. - Keren Gu; Brandon Yang; Jiquan Ngiam; Quoc V. Le; Jonathon Shlens (CoRR, 2019)

StarNet: Targeted Computation for Object Detection in Point Clouds. - Jiquan Ngiam; Benjamin Caine; Wei Han 002; Brandon Yang; Yuning Chai; Pei Sun; Yin Zhou; Xi Yi; Ouais Alsharif; Patrick Nguyen; Zhifeng Chen; Jonathon Shlens; et al. (CoRR, 2019)

Streaming Object Detection for 3-D Point Clouds. - Wei Han 002; Zhengdong Zhang; Benjamin Caine; Brandon Yang; Christoph Sprunk; Ouais Alsharif; Jiquan Ngiam; Vijay Vasudevan; Jonathon Shlens; Zhifeng Chen (ECCV (18), 2020)

Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes. - Simran Arora; Brandon Yang; Sabri Eyuboglu; Avanika Narayan; Andrew Hojel; Immanuel Trummer; Christopher Ré (Proc. VLDB Endow., 2023)

Systems and Algorithms for Convolutional Multi-Hybrid Language Models at Scale. - Jerome Ku; Eric Nguyen; David W. Romero; Garyk Brixi; Brandon Yang; Anton Vorontsov; Ali Taghibakhshi; Amy X. Lu; Dave P. Burke; Greg Brockman; Stefano Massaroli; Christopher Ré; et al. (CoRR, 2025)