Andrew Li

34 papers A* 6A 1B 1Misc 1Journal 16Unranked 9
YearRankTypeTitle / Venue / Authors
2026 A conf
Agents in Concert: A Case-Study of Bringing AI to the Stage in Practice.
IUI
Stephen Brade, Teng Ma, Lancelot Blanchard, Kimaya Lecamwasam, Carlos Mariano Salcedo, Suwan Kim, Perry Naseck, Andrew Li, Matthew R. Michalek, Sebastian Franjou, Cheng-Zhi Anna Huang
2026 J jnl
Deep Few-View High-Resolution Photon-Counting CT at Halved Dose for Extremity Imaging.
IEEE Trans. Medical Imaging
Mengzhou Li, Chuang Niu, Ge Wang, 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, Hengyong Yu
2025 J jnl
Collective Communication Profiling of Modern-day Machine Learning Workloads.
CoRR
Jit Gupta, Andrew Li, Tarun Banka, Ariel Cohen, T. Sridhar, Raj Yavatkar
2025 J jnl
Color code decoder with improved scaling for correcting circuit-level noise.
Quantum
Seok-Hyung Lee, Andrew Li, Stephen D. Bartlett
2025 A* conf
EmbedLLM: Learning Compact Representations of Large Language Models.
ICLR
Richard Zhuang, Tianhao Wu, Zhaojin Wen, Andrew Li, Jiantao Jiao, Kannan Ramchandran
2025 J jnl
How Well Can General Vision-Language Models Learn Medicine By Watching Public Educational Videos?
CoRR
Rahul Thapa, Andrew Li, Qingyang Wu, Bryan He, Yuki Sahashi, Christina Binder, Angela Zhang, Ben Athiwaratkun, Shuaiwen Leon Song, David Ouyang, James Zou
2025 J jnl
How to Sell High-Dimensional Data Optimally.
CoRR
Andrew Li, R. Ravi, Karan Singh, Zihong Yi, Weizhong Zhang
2025 J jnl
SMIR: Efficient Synthetic Data Pipeline To Improve Multi-Image Reasoning.
CoRR
Andrew Li, Rahul Thapa, Rahul Chalamala, Qingyang Wu, Kezhen Chen, James Zou
2025 — conf
Unity Catalog: Open and Universal Governance for the Lakehouse and Beyond.
SIGMOD Conference Companion
Ramesh Chandra, Haogang Chen, Ray Matharu, Sarah Cai, Jeff Chen, Priyam Dutta, Bogdan Ghita, Todd Greenstein, Gopal Holla, Peng Huang, Yuchen Huo, Adrian Ionescu, Adriana Ispas, Tim Januschowski, Vihang Karajgaonkar, Stefania Leone, David Lewis, Andrew Li, Nong Li, Cheng Lian, Stephen Link, Qing Lu, Yesheng Ma, Chris Pettitt, Vijayan Prabhakaran, Bogdan Raducanu, Kyle Rong, Paul Roome, Samarth Shetty, Sean Smith, Xiaotong Sun, Yuyuan Tang, Weitao Wen, Lei Xia, Junlin Zeng, Ben Zhang, Reynold Xin, Matei Zaharia
2025 J jnl
cantnlp@DravidianLangTech2025: A Bag-of-Sounds Approach to Multimodal Hate Speech Detection.
CoRR
Sidney Wong, Andrew Li
2024 J jnl
A Study of Precipitation Inversion in Xinjiang Region Based on FY-4A and Machine Learning Models.
Int. J. Inf. Technol. Syst. Approach
Zhengyang Zhang, Jiang Li, Aqiao Li, Andrew Li
2024 — conf
ChatHF: Collecting Rich Human Feedback from Real-time Conversations.
EMNLP (System Demonstrations)
Andrew Li, Zhenduo Wang, Ethan Mendes, Duong Minh Le, Wei Xu, Alan Ritter
2024 J jnl
Deep Few-view High-resolution Photon-counting Extremity CT at Halved Dose for a Clinical Trial.
CoRR
Mengzhou Li, Chuang Niu, Ge Wang, 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, Hengyong Yu
2024 J jnl
EmbedLLM: Learning Compact Representations of Large Language Models.
CoRR
Richard Zhuang, Tianhao Wu, Zhaojin Wen, Andrew Li, Jiantao Jiao, Kannan Ramchandran
2024 — conf
FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search.
AutoML
Jordan Dotzel, Gang Wu, Andrew Li, Muhammad Umar, Yun Ni, Mohamed S. Abdelfattah, Zhiru Zhang, Liqun Cheng, Martin G. Dixon, Norman P. Jouppi, Quoc V. Le, Sheng Li
2024 B conf
Incremental Comprehension of Garden-Path Sentences by Large Language Models: Semantic Interpretation, Syntactic Re-Analysis, and Attention.
CogSci
Andrew Li, Xianle Feng, Siddhant Narang, Austin Peng, Tianle Cai, Raj Sanjay Shah, Sashank Varma
2024 J jnl
Incremental Comprehension of Garden-Path Sentences by Large Language Models: Semantic Interpretation, Syntactic Re-Analysis, and Attention.
CoRR
Andrew Li, Xianle Feng, Siddhant Narang, Austin Peng, Tianle Cai, Raj Sanjay Shah, Sashank Varma
2024 — conf
Wavelet Based Multiscale Deep Learning Algorithms for Arctic Sea Ice Melting Prediction.
SSPS
Victoria Pegkou Christofi, Andrew Li, Audrey Lin
2023 J jnl
FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search.
CoRR
Jordan Dotzel, Gang Wu, Andrew Li, Muhammad Umar, Yun Ni, Mohamed S. Abdelfattah, Zhiru Zhang, Liqun Cheng, Martin G. Dixon, Norman P. Jouppi, Quoc V. Le, Sheng Li
2023 — conf
Hyperscale Hardware Optimized Neural Architecture Search.
ASPLOS (3)
Sheng Li, Garrett Andersen, Tao Chen, Liqun Cheng, Julian Grady, Da Huang, Quoc V. Le, Andrew Li, Xin Li, Yang Li, Chen Liang, Yifeng Lu, Yun Ni, Ruoming Pang, Mingxing Tan, Martin Wicke, Gang Wu, Shengqi Zhu, Parthasarathy Ranganathan, Norman P. Jouppi
2023 Misc conf
Identifying Thermokarst Lakes Using Discrete Wavelet Transform-Based Deep Learning Framework.
IbPRIA
Andrew Li, Jiahe Liu, Olivia Liu, Xiaodi Wang
2023 — conf
Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generation.
MIDL
Jaehwan Jeong, Katherine Tian, Andrew Li, Sina Hartung, Subathra Adithan, Fardad Behzadi, Juan Calle, David Osayande, Michael Pohlen, Pranav Rajpurkar
2023 J jnl
Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generation.
CoRR
Jaehwan Jeong, Katherine Tian, Andrew Li, Sina Hartung, Fardad Behzadi, Juan Calle, David Osayande, Michael Pohlen, Subathra Adithan, Pranav Rajpurkar
2023 A* conf
TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching.
ICCV
Cheng Fu, Hanxian Huang, Zixuan Jiang, Yun Ni, Lifeng Nai, Gang Wu, Liqun Cheng, Yanqi Zhou, Sheng Li, Andrew Li, Jishen Zhao
2022 — conf
shinyJackpot: Visualizing Lottery Gambling in a Large Canadian City.
HCI (37)
Andrew Li
2021 A* conf
Disposable Linear Bandits for Online Recommendations.
AAAI
Melda Korkut, Andrew Li
2021 A* conf
Searching for Fast Model Families on Datacenter Accelerators.
CVPR
Sheng Li, Mingxing Tan, Ruoming Pang, Andrew Li, Liqun Cheng, Quoc V. Le, Norman P. Jouppi
2021 J jnl
Searching for Fast Model Families on Datacenter Accelerators.
CoRR
Sheng Li, Mingxing Tan, Ruoming Pang, Andrew Li, Liqun Cheng, Quoc V. Le, Norman P. Jouppi
2020 — conf
One-Shot Shape-Based Amodal-to-Modal Instance Segmentation.
CASE
Andrew Li, Michael Danielczuk, Ken Goldberg
2019 A* conf
Learning Deep Visuomotor Policies for Dexterous Hand Manipulation.
ICRA
Divye Jain, Andrew Li, Shivam Singhal, Aravind Rajeswaran, Vikash Kumar, Emanuel Todorov
2019 A* conf
Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data.
ICRA
Michael Danielczuk, Matthew Matl, Saurabh Gupta, Andrew Li, Andrew Lee, Jeffrey Mahler, Ken Goldberg
2018 J jnl
Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Point Clouds.
CoRR
Michael Danielczuk, Matthew Matl, Saurabh Gupta, Andrew Li, Andrew Lee, Jeffrey Mahler, Ken Goldberg
2018 — conf
Single Molecule Free Solution Hydrodynamic Separation for Size Profiling of Serum Cell-Free DNA.
EMBC
Andrew Li, Sarah M. Friedrich, Tza-Huei Wang
1994 J jnl
A fast filtering algorithm for image enhancement.
IEEE Trans. Medical Imaging
Haiguang Chen, Andrew Li, Leon Kaufman, James Hale