Optoelectronic implementations of neural networks. - Demetri Psaltis; Alan A. Yamamura; Ken Hsu; Steven Lin; Xiang-guang Gu; David Brady (IEEE Commun. Mag., 1989)

A Simulation Study of IP Switching. - Steven Lin; Nick McKeown (SIGCOMM, 1997)

Routing Lookups in Hardware at Memory Access Speeds. - Pankaj Gupta 002; Steven Lin; Nick McKeown (INFOCOM, 1998)

PGM Reliable Transport Protocol Specification. - Tony Speakman; Jon Crowcroft; Jim Gemmell; Dino Farinacci; Steven Lin; Dan Leshchiner; Michael Luby; Todd L. Montgomery; Luigi Rizzo; Alex Tweedly; Nidhi Bhaskar; Richard Edmonstone; et al. (RFC, 2001)

Latent feature decompositions for integrative analysis of diverse high-throughput genomic data. - Karl B. Gregory; Kevin R. Coombes; Amin A. Momin; Luc Girard; Lauren A. Byers; Steven Lin; Michael Peyton; John V. Heymach; John D. Minna; Veerabhadran Baladandayuthapani (GENSiPS, 2012)

Identification of cancer fusion drivers using network fusion centrality. - Chia-Chin Wu; Kalpana Kannan; Steven Lin; Laising Yen; Aleksandar Milosavljevic (Bioinform., 2013)

Design of an implantable artificial dural window for chronic two-photon optical imaging in non-human primates. - Eric Trautmann; Daniel J. O'Shea; Shikhar Shrestha; Steven Lin; Stephen I. Ryu; Krishna V. Shenoy (EMBC, 2015)

Bayesian variable selection for a semi-competing risks model with three hazard functions. - Andrew G. Chapple; Marina Vannucci; Peter F. Thall; Steven Lin (Comput. Stat. Data Anal., 2017)

Visual Reinforcement Learning with Imagined Goals. - Ashvin Nair; Vitchyr Pong; Murtaza Dalal; Shikhar Bahl; Steven Lin; Sergey Levine (NeurIPS, 2018)

Planning with Goal-Conditioned Policies. - Soroush Nasiriany; Vitchyr Pong; Steven Lin; Sergey Levine (NeurIPS, 2019)

Skew-Fit: State-Covering Self-Supervised Reinforcement Learning. - Vitchyr Pong; Murtaza Dalal; Steven Lin; Ashvin Nair; Shikhar Bahl; Sergey Levine (ICML, 2020)

Considerations in the reliability and fairness audits of predictive models for advance care planning. - Jonathan Lu; Amelia Sattler; Samantha Wang; Ali Raza Khaki; Alison Callahan; Scott L. Fleming; Rebecca Fong; Benjamin Ehlert; Ron C. Li; Lisa Shieh; Kavitha Ramchandran; Michael Gensheimer 001; et al. (Frontiers Digit. Health, 2022)

Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings. - Rajeev V. Rikhye; Aaron Loh; Grace Eunhae Hong; Preeti Singh; Margaret Ann Smith; Vijaytha Muralidharan; Doris Wong; Rory Sayres; Michelle Phung; Nicolas Betancourt; Bradley Fong; Rachna Sahasrabudhe; et al. (CoRR, 2024)

Crowdsourcing Dermatology Images with Google Search Ads: Creating a Real-World Skin Condition Dataset. - Abbi Ward; Jimmy Li; Julie Wang; Sriram Lakshminarasimhan; Ashley Carrick; Bilson J. L. Campana; Jay Hartford; Pradeep Kumar S; Tiya Tiyasirichokchai; Sunny Virmani; Renee Wong; Yossi Matias; et al. (CoRR, 2024)

Length-scale study in deep learning prediction for non-small cell lung cancer brain metastasis. - Haowen Zhou; Steven Lin; Mark Watson; Cory T. Bernadt; Oumeng Zhang; Ramaswamy Govindan; Richard J. Cote; Changhuei Yang (CoRR, 2024)

Navigating Skin Concerns with AI: A Human-Centered Investigation of a Dermatology App in a Diverse Community. - Rory Sayres; Anna Devon-Sand; Mike Schaekermann; Margaret Ann Smith; Patricia Strachan; Grace Eunhae Hong; Trinh Nguyen; Doris Wong; Naama Hammel; Dawn Siegel; Kexin Ren; Chelsea Belletieri; et al. (CHI Extended Abstracts, 2025)

Ambient artificial intelligence scribes: utilization and impact on documentation time. - Stephen P. Ma; April S. Liang; Shreya J. Shah; Margaret Smith; Yejin Jeong; Anna Devon-Sand; Trevor Crowell; Clarissa Delahaie; Caroline Hsia; Steven Lin; Tait D. Shanafelt; Michael A. Pfeffer; et al. (J. Am. Medical Informatics Assoc., 2025)

Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden. - Shreya J. Shah; Anna Devon-Sand; Stephen P. Ma; Yejin Jeong; Trevor Crowell; Margaret Smith; April S. Liang; Clarissa Delahaie; Caroline Hsia; Tait D. Shanafelt; Michael A. Pfeffer; Christopher D. Sharp; et al. (J. Am. Medical Informatics Assoc., 2025)

MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks. - Suhana Bedi; Hejie Cui; Miguel Fuentes; Alyssa Unell; Michael Wornow; Juan M. Banda; Nikesh Kotecha; Timothy Keyes; Yifan Mai 001; Mert Oez; Hao Qiu; Shrey Jain; et al. (CoRR, 2025)