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Kyle yumou Gao
Kyle yumou Gao
Magnetfirm
ยืนยันอีเมลแล้วที่ kylemagnet.info - หน้าแรก
ชื่อ
อ้างโดย
อ้างโดย
ปี
Integrated genomic characterization of papillary thyroid carcinoma
N Agrawal, R Akbani, BA Aksoy, A Ally, H Arachchi, SL Asa, JT Auman, ...
Cell 159 (3), 676-690, 2014
27542014
Predicting splicing from primary sequence with deep learning
K Jaganathan, SK Panagiotopoulou, JF McRae, SF Darbandi, D Knowles, ...
Cell 176 (3), 535-548. e24, 2019
20242019
Comprehensive and integrative genomic characterization of hepatocellular carcinoma
A Ally, M Balasundaram, R Carlsen, E Chuah, A Clarke, N Dhalla, RA Holt, ...
Cell 169 (7), 1327-1341. e23, 2017
19652017
Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility
DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium
Nature genetics 46 (3), 234-244, 2014
10882014
Scalable open science approach for mutation calling of tumor exomes using multiple genomic pipelines
K Ellrott, MH Bailey, G Saksena, KR Covington, C Kandoth, C Stewart, ...
Cell systems 6 (3), 271-281. e7, 2018
7272018
The HERMES spectrometer
K Ackerstaff, A Airapetian, N Akopov, M Amarian, V Andreev, ...
Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 1998
6641998
Measurement of the neutron spin structure function gn1 with a polarized 3He internal target
K Ackerstaff, A Airapetian, I Akushevich, N Akopov, M Amarian, ...
Physics Letters B 404 (3-4), 383-389, 1997
5831997
Interpretable drug target prediction using deep neural representation.
KY Gao, A Fokoue, H Luo, A Iyengar, S Dey, P Zhang
IJCAI 2018, 3371-3377, 2018
2882018
Nerf: Neural radiance field in 3d vision, a comprehensive review
K Gao, Y Gao, H He, D Lu, L Xu, J Li
arXiv preprint arXiv:2210.00379, 2022
2312022
3DCTN: 3D convolution-transformer network for point cloud classification
D Lu, Q Xie, K Gao, L Xu, J Li
IEEE Transactions on Intelligent Transportation Systems 23 (12), 24854-24865, 2022
872022
Transformers in 3d point clouds: A survey
D Lu, Q Xie, M Wei, K Gao, L Xu, J Li
arXiv preprint arXiv:2205.07417, 2022
772022
Mask R-CNN based automated identification and extraction of oil well sites
H He, H Xu, Y Zhang, K Gao, H Li, L Ma, J Li
International Journal of Applied Earth Observation and Geoinformation 112 …, 2022
562022
Airborne multispectral LiDAR point cloud classification with a feature reasoning-based graph convolution network
P Zhao, H Guan, D Li, Y Yu, H Wang, K Gao, JM Junior, J Li
International Journal of Applied Earth Observation and Geoinformation 105 …, 2021
382021
WSPointNet: A multi-branch weakly supervised learning network for semantic segmentation of large-scale mobile laser scanning point clouds
X Lei, H Guan, L Ma, Y Yu, Z Dong, K Gao, MR Delavar, J Li
International journal of applied earth observation and geoinformation 115 …, 2022
242022
Dynamic monitoring and modeling of the growth-poverty-inequality trilemma in the Nile River Basin with consistent night-time data (2000–2020)
Y Lin, T Zhang, X Liu, J Yu, J Li, K Gao
International Journal of Applied Earth Observation and Geoinformation 112 …, 2022
202022
NeRF: Neural Radiance Field in 3D Vision
K Gao, Y Gao, H He, D Lu, L Xu, J Li
A Comprehensive Review. arXiv 2210, 1-20, 2022
142022
Weakly supervised high spatial resolution land cover mapping based on self-training with weighted pseudo-labels
W Liu, J Liu, Z Luo, H Zhang, K Gao, J Li
International Journal of Applied Earth Observation and Geoinformation 112 …, 2022
142022
Fusion of hyperspectral-multispectral images joining spatial-spectral dual-dictionary and structured sparse low-rank representation
N Chen, L Sui, B Zhang, H He, K Gao, Y Li, JM Junior, J Li
International Journal of Applied Earth Observation and Geoinformation 104 …, 2021
132021
Scientific table search using keyword queries
KY Gao, J Callan
arXiv preprint arXiv:1707.03423, 2017
112017
3DGTN: 3D Dual-Attention GLocal Transformer Network for Point Cloud Classification and Segmentation
D Lu, K Gao, Q Xie, L Xu, J Li
IEEE Transactions on Geoscience and Remote Sensing, 2024
102024
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