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Andrew Li
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2020 – today
- 2024
- [c12]Victoria Pegkou Christofi, Andrew Li, Audrey Lin:
Wavelet Based Multiscale Deep Learning Algorithms for Arctic Sea Ice Melting Prediction. SSPS 2024 - [i7]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:
Deep Few-view High-resolution Photon-counting Extremity CT at Halved Dose for a Clinical Trial. CoRR abs/2403.12331 (2024) - [i6]Andrew Li, Xianle Feng, Siddhant Narang, Austin Peng, Tianle Cai, Raj Sanjay Shah, Sashank Varma:
Incremental Comprehension of Garden-Path Sentences by Large Language Models: Semantic Interpretation, Syntactic Re-Analysis, and Attention. CoRR abs/2405.16042 (2024) - [i5]Richard Zhuang, Tianhao Wu, Zhaojin Wen, Andrew Li, Jiantao Jiao, Kannan Ramchandran:
EmbedLLM: Learning Compact Representations of Large Language Models. CoRR abs/2410.02223 (2024) - 2023
- [c11]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:
Hyperscale Hardware Optimized Neural Architecture Search. ASPLOS (3) 2023: 343-358 - [c10]Andrew Li, Jiahe Liu, Olivia Liu, Xiaodi Wang:
Identifying Thermokarst Lakes Using Discrete Wavelet Transform-Based Deep Learning Framework. IbPRIA 2023: 479-489 - [c9]Cheng Fu, Hanxian Huang, Zixuan Jiang, Yun Ni, Lifeng Nai, Gang Wu, Liqun Cheng, Yanqi Zhou, Sheng Li, Andrew Li, Jishen Zhao:
TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching. ICCV 2023: 17107-17117 - [c8]Jaehwan Jeong, Katherine Tian, Andrew Li, Sina Hartung, Subathra Adithan, Fardad Behzadi, Juan Calle, David Osayande, Michael Pohlen, Pranav Rajpurkar:
Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generation. MIDL 2023: 978-990 - [i4]Jaehwan Jeong, Katherine Tian, Andrew Li, Sina Hartung, Fardad Behzadi, Juan Calle, David Osayande, Michael Pohlen, Subathra Adithan, Pranav Rajpurkar:
Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generation. CoRR abs/2303.17579 (2023) - [i3]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:
FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search. CoRR abs/2308.03290 (2023) - 2022
- [c7]Andrew Li:
shinyJackpot: Visualizing Lottery Gambling in a Large Canadian City. HCI (37) 2022: 237-242 - 2021
- [c6]Melda Korkut, Andrew Li:
Disposable Linear Bandits for Online Recommendations. AAAI 2021: 4172-4180 - [c5]Sheng Li, Mingxing Tan, Ruoming Pang, Andrew Li, Liqun Cheng, Quoc V. Le, Norman P. Jouppi:
Searching for Fast Model Families on Datacenter Accelerators. CVPR 2021: 8085-8095 - [i2]Sheng Li, Mingxing Tan, Ruoming Pang, Andrew Li, Liqun Cheng, Quoc V. Le, Norman P. Jouppi:
Searching for Fast Model Families on Datacenter Accelerators. CoRR abs/2102.05610 (2021) - 2020
- [c4]Andrew Li, Michael Danielczuk, Ken Goldberg:
One-Shot Shape-Based Amodal-to-Modal Instance Segmentation. CASE 2020: 1375-1382
2010 – 2019
- 2019
- [c3]Divye Jain, Andrew Li, Shivam Singhal, Aravind Rajeswaran, Vikash Kumar, Emanuel Todorov:
Learning Deep Visuomotor Policies for Dexterous Hand Manipulation. ICRA 2019: 3636-3643 - [c2]Michael Danielczuk, Matthew Matl, Saurabh Gupta, Andrew Li, Andrew Lee, Jeffrey Mahler, Ken Goldberg:
Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data. ICRA 2019: 7283-7290 - 2018
- [c1]Andrew Li, Sarah M. Friedrich, Tza-Huei Wang:
Single Molecule Free Solution Hydrodynamic Separation for Size Profiling of Serum Cell-Free DNA. EMBC 2018: 4476-4479 - [i1]Michael Danielczuk, Matthew Matl, Saurabh Gupta, Andrew Li, Andrew Lee, Jeffrey Mahler, Ken Goldberg:
Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Point Clouds. CoRR abs/1809.05825 (2018)
1990 – 1999
- 1994
- [j1]Haiguang Chen, Andrew Li, Leon Kaufman, James Hale:
A fast filtering algorithm for image enhancement. IEEE Trans. Medical Imaging 13(3): 557-564 (1994)
Coauthor Index
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last updated on 2024-11-08 20:32 CET by the dblp team
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