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ORCIDWenbo Gao
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j7]Huihua Kong, Wenbo Gao, Xiaoshuang Du, Yunxia Di:
An improved non-local means algorithm for CT image denoising. Multim. Syst. 30(2): 79 (2024)- [j6]Jun Tang
, Wenbo Gao, Enxue Ma, Xinmiao Sun, Jinying Ma:
Deep Learning Based Underwater Acoustic Target Recognition: Introduce a Recent Temporal 2D Modeling Method. Sensors 24(5): 1633 (2024) - [c9]Yuntao Wang, Jinpu Zhang, Ruonan Wei, Wenbo Gao, Yuehuan Wang:
MFRGN: Multi-scale Feature Representation Generalization Network for Ground-to-Aerial Geo-localization. ACM Multimedia 2024: 2574-2583 - [i8]Lin Zhang, Wenbo Gao, Jie Yi, Yunyun Yang:
SACNet: A Spatially Adaptive Convolution Network for 2D Multi-organ Medical Segmentation. CoRR abs/2407.10157 (2024) - 2023
- [c8]David B. D'Ambrosio, Navdeep Jaitly, Vikas Sindhwani, Ken Oslund, Peng Xu, Nevena Lazic, Anish Shankar, Tianli Ding, Jonathan Abelian, Erwin Coumans, Gus Kouretas, Thinh Nguyen, Justin Boyd, Atil Iscen, Reza Mahjourian, Vincent Vanhoucke, Alex Bewley, Yuheng Kuang, Michael Ahn, Deepali Jain, Satoshi Kataoka, Omar E. Cortes, Pierre Sermanet, Corey Lynch, Pannag R. Sanketi, Krzysztof Choromanski, Wenbo Gao, Juhana Kangaspunta, Krista Reymann, Grace Vesom, Sherry Q. Moore, Avi Singh, Saminda Wishwajith Abeyruwan, Laura Graesser:
Robotic Table Tennis: A Case Study into a High Speed Learning System. Robotics: Science and Systems 2023 - [i7]David B. D'Ambrosio, Jonathan Abelian, Saminda Abeyruwan, Michael Ahn, Alex Bewley, Justin Boyd, Krzysztof Choromanski, Omar Cortes, Erwin Coumans, Tianli Ding, Wenbo Gao, Laura Graesser, Atil Iscen, Navdeep Jaitly, Deepali Jain, Juhana Kangaspunta, Satoshi Kataoka, Gus Kouretas, Yuheng Kuang, Nevena Lazic, Corey Lynch, Reza Mahjourian, Sherry Q. Moore, Thinh Nguyen, Ken Oslund, Barney J. Reed, Krista Reymann, Pannag R. Sanketi, Anish Shankar, Pierre Sermanet, Vikas Sindhwani, Avi Singh, Vincent Vanhoucke, Grace Vesom, Peng Xu:
Robotic Table Tennis: A Case Study into a High Speed Learning System. CoRR abs/2309.03315 (2023) - 2022
- [j5]Wenbo Gao, Li Liu, Lei Zhu, Huaxiang Zhang:
Visible-infrared person re-identification based on key-point feature extraction and optimization. J. Vis. Commun. Image Represent. 85: 103511 (2022) - 2021
- [j4]Xiaohui Zhang, Wenbo Gao, Jiaqing Zhong:
Decentralized Economic Dispatching of Multi-Micro Grid Considering Wind Power and Photovoltaic Output Uncertainty. IEEE Access 9: 104093-104103 (2021) - [i6]Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Daiyi Peng, Deepali Jain, Wenbo Gao, Aldo Pacchiano, Tamás Sarlós, Yuxiang Yang:
ES-ENAS: Combining Evolution Strategies with Neural Architecture Search at No Extra Cost for Reinforcement Learning. CoRR abs/2101.07415 (2021) - 2020
- [j3]Wenbo Gao, Donald Goldfarb, Frank E. Curtis:
ADMM for multiaffine constrained optimization. Optim. Methods Softw. 35(2): 257-303 (2020) - [c7]Xingyou Song, Wenbo Gao, Yuxiang Yang, Krzysztof Choromanski, Aldo Pacchiano, Yunhao Tang:
ES-MAML: Simple Hessian-Free Meta Learning. ICLR 2020 - [c6]Xingyou Song, Yuxiang Yang, Krzysztof Choromanski, Ken Caluwaerts, Wenbo Gao, Chelsea Finn, Jie Tan:
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning. IROS 2020: 3769-3776 - [c5]Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly:
Robotic Table Tennis with Model-Free Reinforcement Learning. IROS 2020: 5556-5563 - [c4]Xuesong Jonathan Tan, Wenbo Gao, Xingyu Zhang:
A Novel Two-way Multihop Relay Scheme Based on Decode-and-Forward and Network Coding. VTC Fall 2020: 1-7 - [i5]Xingyou Song, Yuxiang Yang, Krzysztof Choromanski, Ken Caluwaerts, Wenbo Gao, Chelsea Finn, Jie Tan:
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning. CoRR abs/2003.01239 (2020) - [i4]Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly:
Robotic Table Tennis with Model-Free Reinforcement Learning. CoRR abs/2003.14398 (2020)
2010 – 2019
- 2019
- [j2]Wenbo Gao, Donald Goldfarb:
Quasi-Newton methods: superlinear convergence without line searches for self-concordant functions. Optim. Methods Softw. 34(1): 194-217 (2019) - [c3]Yunfei Teng, Wenbo Gao, François Chalus, Anna Choromanska, Donald Goldfarb, Adrian Weller:
Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models. NeurIPS 2019: 9821-9831 - [i3]Yunfei Teng, Wenbo Gao, François Chalus, Anna Choromanska, Donald Goldfarb, Adrian Weller:
Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models. CoRR abs/1905.10395 (2019) - [i2]Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Wenbo Gao, Aldo Pacchiano, Tamás Sarlós, Deepali Jain, Yuxiang Yang:
Reinforcement Learning with Chromatic Networks. CoRR abs/1907.06511 (2019) - [i1]Xingyou Song, Wenbo Gao, Yuxiang Yang, Krzysztof Choromanski, Aldo Pacchiano, Yunhao Tang:
ES-MAML: Simple Hessian-Free Meta Learning. CoRR abs/1910.01215 (2019) - 2018
- [j1]Wenbo Gao, Donald Goldfarb:
Block BFGS Methods. SIAM J. Optim. 28(2): 1205-1231 (2018) - 2017
- [c2]Chaoxu Zhou, Wenbo Gao, Donald Goldfarb:
Stochastic Adaptive Quasi-Newton Methods for Minimizing Expected Values. ICML 2017: 4150-4159 - [c1]Milorad Cvijetic, Ioannis Tomkos, Wenbo Gao:
Multidimensional optical access networks with spectral-spatial interworking. ICTON 2017: 1-4
Coauthor Index
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