Lin, Kevin

PI3K/AKT/mTOR signaling transduction pathway and targeted therapies in cancer

Glaviano, A., Foo, A. S. C., Lam, H. Y., Yap, K. C. H., Jacot, W., Jones, R. H., Eng, H., Nair, M. G., Makvandi, P., Geoerger, B., et al. (2023) · Molecular Cancer

PI3K/AKT/mTOR signaling in cancerMetabolism, Diabetes, and Cancer

Cited by 2,138

Lost in the Middle: How Language Models Use Long Contexts

Liu, N. F., Lin, K., Hewitt, J., Paranjape, A., Bevilacqua, M., Petroni, F., & Liang, P. (2024) · Transactions of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 1,612

Lost in the Middle: How Language Models Use Long Contexts

Liu, N. F., Lin, K., Hewitt, J., Paranjape, A., Bevilacqua, M., Petroni, F., & Liang, P. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1,599

Rucaparib in relapsed, platinum-sensitive high-grade ovarian carcinoma (ARIEL2 Part 1): an international, multicentre, open-label, phase 2 trial

Swisher, E. M., Lin, K. K., Oza, A. M., Scott, C. L., Giordano, H., Sun, J., Konecny, G. E., Coleman, R. L., Tinker, A. V., O'Malley, D. M., et al. (2017) · The Lancet Oncology

PARP inhibition in cancer therapyBRCA gene mutations in cancer

Cited by 1,196

End-to-End Human Pose and Mesh Reconstruction with Transformers

Lin, K., Wang, L., & Liu, Z. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

3D Shape Modeling and AnalysisHuman Pose and Action Recognition

Cited by 740

Discovery of a Mutant-Selective Covalent Inhibitor of EGFR that Overcomes T790M-Mediated Resistance in NSCLC

Walter, A. O., Sjin, R. T. T., Haringsma, H. J., Ohashi, K., Sun, J., Lee, K., Dubrovskiy, A., Labenski, M., Zhu, Z., Wang, Z., et al. (2013) · Cancer Discovery

Lung Cancer Treatments and MutationsHER2/EGFR in Cancer Research

Cited by 620

Genome-wide de novo risk score implicates promoter variation in autism spectrum disorder

An, J.-Y., Lin, K., Zhu, L., Werling, D. M., Dong, S., Brand, H., Wang, H. Z., Zhao, X., Schwartz, G. B., Collins, R. L., et al. (2018) · Science

Autism Spectrum Disorder ResearchGenetics and Neurodevelopmental Disorders

Cited by 316

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0

O’Neill, A., Rehman, A., Maddukuri, A., Gupta, A., Padalkar, A., Lee, A., Pooley, A., Gupta, A., Mandlekar, A., Jain, A., et al. (2024) · 2024 IEEE International Conference on Robotics and Automation (ICRA)

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 210

Vertical suppression of the EGFR pathway prevents onset of resistance in colorectal cancers

Misale, S., Bozic, I., Tong, J., Peraza-Penton, A., Lallo, A., Baldi, F., Lin, K. H., Truini, M., Trusolino, L., Bertotti, A., et al. (2015) · Nature Communications

Colorectal Cancer Treatments and StudiesLung Cancer Treatments and Mutations

Cited by 122

A Landscape of Therapeutic Cooperativity in KRAS Mutant Cancers Reveals Principles for Controlling Tumor Evolution

Anderson, G. R., Winter, P. S., Lin, K. H., Nussbaum, D. P., Cakir, M., Stein, E. M., Soderquist, R. S., Crawford, L., Leeds, J. C., Newcomb, R., et al. (2017) · Cell Reports

Protein Kinase Regulation and GTPase SignalingMelanoma and MAPK Pathways

Cited by 80

MemGPT: Towards LLMs as Operating Systems

Packer, C., Wooders, S., Lin, K., Fang, V., Patil, S. G., Stoica, I., & Gonzalez, J. E. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 64

Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation

Prasad, A., Lin, K., Wu, J., Zhou, L., & Bohg, J. (2024) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 57

MM-Narrator: Narrating Long-form Videos with Multimodal In-Context Learning

Zhang, C., Lin, K., Yang, Z., Wang, J., Li, L., Lin, C.-C., Liu, Z., & Wang, L. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsSubtitles and Audiovisual Media

Cited by 24

DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning

Jiang, Z., Xie, Y., Lin, K., Xu, Z., Wan, W., Mandlekar, A., Fan, L. J., & Zhu, Y. (2025) · 2025 IEEE International Conference on Robotics and Automation (ICRA)

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 24

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

NVIDIA, :, Bjorck, J., Castañeda, F., Cherniadev, N., Da, X., Ding, R., Fan, L. "., Fang, Y., Fox, D., et al. (2025) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 10

Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming

Sharma, M., Tong, M., Mu, J., Wei, J., Kruthoff, J., Goodfriend, S., Ong, E., Peng, A., Agarwal, R., Anil, C., et al. (2025) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 7

The SAGA acetyltransferase module is required for the maintenance of MAF and MYC oncogenic gene expression programs in multiple myeloma

Chen, Y.-J. C., Bhaskara, G. B., Lu, Y., Lin, K., & Dent, S. Y. R. (2024) · Genes & Development

Multiple Myeloma Research and TreatmentsGenomics and Chromatin Dynamics

Cited by 4

Sleep-time Compute: Beyond Inference Scaling at Test-time

Lin, K., Snell, C., Wang, Y., Packer, C., Wooders, S., Stoica, I., & Gonzalez, J. E. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0