A fast filtering algorithm for image enhancement. - Haiguang Chen; Andrew Li; Leon Kaufman; James Hale (IEEE Trans. Medical Imaging, 1994)

Single Molecule Free Solution Hydrodynamic Separation for Size Profiling of Serum Cell-Free DNA. - Andrew Li; Sarah M. Friedrich; Tza-Huei Wang (EMBC, 2018)

Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Point Clouds. - Michael Danielczuk; Matthew Matl; Saurabh Gupta 001; Andrew Li; Andrew Lee; Jeffrey Mahler; Ken Goldberg (CoRR, 2018)

Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data. - Michael Danielczuk; Matthew Matl; Saurabh Gupta 001; Andrew Li; Andrew Lee; Jeffrey Mahler; Ken Goldberg (ICRA, 2019)

Learning Deep Visuomotor Policies for Dexterous Hand Manipulation. - Divye Jain; Andrew Li; Shivam Singhal; Aravind Rajeswaran; Vikash Kumar; Emanuel Todorov (ICRA, 2019)

One-Shot Shape-Based Amodal-to-Modal Instance Segmentation. - Andrew Li; Michael Danielczuk; Ken Goldberg (CASE, 2020)

Disposable Linear Bandits for Online Recommendations. - Melda Korkut; Andrew Li (AAAI, 2021)

Searching for Fast Model Families on Datacenter Accelerators. - Sheng Li 007; Mingxing Tan; Ruoming Pang; Andrew Li; Liqun Cheng; Quoc V. Le; Norman P. Jouppi (CVPR, 2021)

shinyJackpot: Visualizing Lottery Gambling in a Large Canadian City. - Andrew Li (HCI (37), 2022)

Hyperscale Hardware Optimized Neural Architecture Search. - Sheng Li 007; Garrett Andersen; Tao Chen 003; Liqun Cheng; Julian Grady; Da Huang; Quoc V. Le; Andrew Li; Xin Li 082; Yang Li 005; Chen Liang; Yifeng Lu; et al. (ASPLOS (3), 2023)

Identifying Thermokarst Lakes Using Discrete Wavelet Transform-Based Deep Learning Framework. - Andrew Li; Jiahe Liu; Olivia Liu; Xiaodi Wang (IbPRIA, 2023)

TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching. - Cheng Fu 002; Hanxian Huang; Zixuan Jiang; Yun Ni; Lifeng Nai; Gang Wu; Liqun Cheng; Yanqi Zhou; Sheng Li 007; Andrew Li; Jishen Zhao (ICCV, 2023)

Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generation. - Jaehwan Jeong; Katherine Tian; Andrew Li; Sina Hartung; Subathra Adithan; Fardad Behzadi; Juan Calle; David Osayande; Michael Pohlen; Pranav Rajpurkar (MIDL, 2023)

FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search. - Jordan Dotzel; Gang Wu; Andrew Li; Muhammad Umar 002; Yun Ni; Mohamed S. Abdelfattah; Zhiru Zhang; Liqun Cheng; Martin G. Dixon; Norman P. Jouppi; Quoc V. Le; Sheng Li 007 (AutoML, 2024)

Wavelet Based Multiscale Deep Learning Algorithms for Arctic Sea Ice Melting Prediction. - Victoria Pegkou Christofi; Andrew Li; Audrey Lin (SSPS, 2024)

Deep Few-view High-resolution Photon-counting Extremity CT at Halved Dose for a Clinical Trial. - Mengzhou Li; Chuang Niu; Ge Wang 001; Maya R. Amma; Krishna M. Chapagain; Stefan Gabrielson; Andrew Li; Kevin Jonker; Niels J. A. De Ruiter; Jennifer A. Clark; Phillip H. Butler; Anthony P. H. Butler; et al. (CoRR, 2024)

Incremental Comprehension of Garden-Path Sentences by Large Language Models: Semantic Interpretation, Syntactic Re-Analysis, and Attention. - Andrew Li; Xianle Feng; Siddhant Narang; Austin Peng; Tianle Cai; Raj Sanjay Shah; Sashank Varma (CoRR, 2024)

A Study of Precipitation Inversion in Xinjiang Region Based on FY-4A and Machine Learning Models. - Zhengyang Zhang; Jiang Li; Aqiao Li; Andrew Li (Int. J. Inf. Technol. Syst. Approach, 2024)

EmbedLLM: Learning Compact Representations of Large Language Models. - Richard Zhuang; Tianhao Wu 002; Zhaojin Wen; Andrew Li; Jiantao Jiao; Kannan Ramchandran (ICLR, 2025)

Unity Catalog: Open and Universal Governance for the Lakehouse and Beyond. - Ramesh Chandra; Haogang Chen 003; Ray Matharu; Sarah Cai; Jeff Chen; Priyam Dutta; Bogdan Ghita 004; Todd Greenstein; Gopal Holla; Peng Huang; Yuchen Huo; Adrian Ionescu; et al. (SIGMOD Conference Companion, 2025)

Color code decoder with improved scaling for correcting circuit-level noise. - Seok-Hyung Lee; Andrew Li; Stephen D. Bartlett (Quantum, 2025)

SMIR: Efficient Synthetic Data Pipeline To Improve Multi-Image Reasoning. - Andrew Li; Rahul Thapa; Rahul Chalamala; Qingyang Wu; Kezhen Chen; James Zou (CoRR, 2025)

cantnlp@DravidianLangTech2025: A Bag-of-Sounds Approach to Multimodal Hate Speech Detection. - Sidney Wong; Andrew Li (CoRR, 2025)

How Well Can General Vision-Language Models Learn Medicine By Watching Public Educational Videos? - Rahul Thapa; Andrew Li; Qingyang Wu; Bryan He; Yuki Sahashi; Christina Binder; Angela Zhang; Ben Athiwaratkun; Shuaiwen Leon Song; David Ouyang; James Zou 001 (CoRR, 2025)

Collective Communication Profiling of Modern-day Machine Learning Workloads. - Jit Gupta; Andrew Li; Tarun Banka; Ariel Cohen 006; T. Sridhar; Raj Yavatkar (CoRR, 2025)