Gao Yang
Gao Yang
Computer Science, UC Berkeley
Adresse e-mail validée de eecs.berkeley.edu - Page d'accueil
Titre
Citée par
Citée par
Année
Compact Bilinear Pooling
Y Gao, O Beijbom, N Zhang, T Darrell
arXiv preprint arXiv:1511.06062, 2015
4522015
End-to-end Learning of Driving Models from Large-scale Video Datasets
H Xu, Y Gao, F Yu, T Darrell
arXiv preprint arXiv:1612.01079, 2016
4352016
Deep Learning for Tactile Understanding From Visual and Haptic Data
Y Gao, LA Hendricks, KJ Kuchenbecker, T Darrell
arXiv preprint arXiv:1511.06065, 2015
1492015
Reinforcement Learning from Imperfect Demonstrations
Y Gao, J Lin, F Yu, S Levine, T Darrell
arXiv preprint arXiv:1802.05313, 2018
1012018
Fine-grained pose prediction, normalization, and recognition
N Zhang, E Shelhamer, Y Gao, T Darrell
arXiv preprint arXiv:1511.07063, 2015
612015
Systematic discovery of mutation-specific synthetic lethals by mining pan-cancer human primary tumor data
S Sinha, D Thomas, S Chan, Y Gao, D Brunen, D Torabi, A Reinisch, ...
Nature communications 8, 15580, 2017
352017
Generalized orderless pooling performs implicit salient matching
M Simon, E Rodner, Y Gao, T Darrell, J Denzler
arXiv preprint arXiv:1705.00487, 2017
342017
A Fully Unsupervised Non-intrusive Load Monitoring Framework
R Jia, Y Gao, CJ Spanos
27*
Proton: A visuo-haptic data acquisition system for robotic learning of surface properties
A Burka, S Hu, S Helgeson, S Krishnan, Y Gao, LA Hendricks, T Darrell, ...
2016 IEEE International Conference on Multisensor Fusion and Integration for …, 2016
192016
Risk Averse Robust Adversarial Reinforcement Learning
X Pan, D Seita, Y Gao, J Canny
International Conference on Robotics and Automation (ICRA), 2019
142019
Streaming Gibbs Sampling for LDA Model
Y Gao, J Chen, J Zhu
arXiv preprint arXiv:1601.01142, 2016
122016
Deceptive Answer Prediction with User Preference Graph.
F Li, Y Gao, S Zhou, X Si, D Dai
ACL (1), 1723-1732, 2013
72013
Design and implementation of a visuo-haptic data acquisition system for robotic learning of surface properties
A Burka, S Hu, S Helgeson, S Krishnan, Y Gao, LA Hendricks, T Darrell, ...
Proc. IEEE Haptics Symposium, 350-352, 2016
42016
Toward a large-scale visuo-haptic dataset for robotic learning
A Burka, S Hu, S Krishnan, KJ Kuchenbecker, LA Hendricks, Y Gao, ...
proceedings of the Workshop on the Future of Datasets in Vision at Computer …, 2015
22015
Abstract A27: Systematic discovery of mutation-specific synthetic lethals by mining pan-cancer primary tumor data
S Sinha, D Thomas, S Chan, Y Gao, D Brunen, D Torabi, A Reinisch, ...
Clinical Cancer Research 23 (1 Supplement), A27-A27, 2017
2017
Isocitrate Dehydrogenase 1 Mutant Cancers Are Metabolically Vulnerable to Inhibition of Acetyl CoA Carboxylase Via a 2-Hydroxyglutarate Independent Mechanism
D Thomas, S Sinha, SM Chan, M Wu, D Torabi, G Peltz, Y Gao, DL Dill, ...
Blood 128 (22), 1054-1054, 2016
2016
Boolean Implication Mining for Synthetic Lethal Interactions in AML Identifies Acetyl-CoA Carboxylase As a Synthetic Lethal Partner of the IDH1 mutation
S Sinha, D Thomas, SM Chan, Y Gao, R Jansen, R Majeti, DL Dill
BLOOD 126 (23), 2015
2015
Abstract LB-B07: MiSL: a method for mining synthetic lethal partners of somatic mutations identifies acetyl-CoA carboxylase as a synthetic lethal interactor of the IDH1 …
S Sinha, D Thomas, Y Gao, SM Chan, D Brunen, R Bernards, R Majeti, ...
Molecular Cancer Therapeutics 14 (12 Supplement 2), LB-B07-LB-B07, 2015
2015
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