Wenbo Gao

According to our database, Wenbo Gao authored at least 20 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An improved non-local means algorithm for CT image denoising.

Huihua Kong, Wenbo Gao, Xiaoshuang Du, Yunxia Di

Multim. Syst., April, 2024

Deep Learning Based Underwater Acoustic Target Recognition: Introduce a Recent Temporal 2D Modeling Method.

Jun Tang, Wenbo Gao, Enxue Ma, Xinmiao Sun, Jinying Ma

Sensors, March, 2024

SACNet: A Spatially Adaptive Convolution Network for 2D Multi-organ Medical Segmentation.

Lin Zhang, Wenbo Gao, Jie Yi, Yunyun Yang

CoRR, 2024

MFRGN: Multi-scale Feature Representation Generalization Network for Ground-to-Aerial Geo-localization.

Yuntao Wang, Jinpu Zhang, Ruonan Wei, Wenbo Gao, Yuehuan Wang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Robotic Table Tennis: A Case Study into a High Speed Learning System.

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

CoRR, 2023

Robotic Table Tennis: A Case Study into a High Speed Learning System.

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

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

2022

Visible-infrared person re-identification based on key-point feature extraction and optimization.

Wenbo Gao, Li Liu, Lei Zhu, Huaxiang Zhang

J. Vis. Commun. Image Represent., 2022

2021

ES-ENAS: Combining Evolution Strategies with Neural Architecture Search at No Extra Cost for Reinforcement Learning.

Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Daiyi Peng, Deepali Jain, Wenbo Gao, Aldo Pacchiano, Tamás Sarlós, Yuxiang Yang

CoRR, 2021

Decentralized Economic Dispatching of Multi-Micro Grid Considering Wind Power and Photovoltaic Output Uncertainty.

Xiaohui Zhang, Wenbo Gao, Jiaqing Zhong

IEEE Access, 2021

2020

ADMM for multiaffine constrained optimization.

Wenbo Gao, Donald Goldfarb, Frank E. Curtis

Optim. Methods Softw., 2020

A Novel Two-way Multihop Relay Scheme Based on Decode-and-Forward and Network Coding.

Xuesong Jonathan Tan, Wenbo Gao, Xingyu Zhang

Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning.

Xingyou Song, Yuxiang Yang, Krzysztof Choromanski, Ken Caluwaerts, Wenbo Gao, Chelsea Finn, Jie Tan

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Robotic Table Tennis with Model-Free Reinforcement Learning.

Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

ES-MAML: Simple Hessian-Free Meta Learning.

Xingyou Song, Wenbo Gao, Yuxiang Yang, Krzysztof Choromanski, Aldo Pacchiano, Yunhao Tang

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Quasi-Newton methods: superlinear convergence without line searches for self-concordant functions.

Wenbo Gao, Donald Goldfarb

Optim. Methods Softw., 2019

Reinforcement Learning with Chromatic Networks.

Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Wenbo Gao, Aldo Pacchiano, Tamás Sarlós, Deepali Jain, Yuxiang Yang

CoRR, 2019

Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models.

Yunfei Teng, Wenbo Gao, François Chalus, Anna Choromanska, Donald Goldfarb, Adrian Weller

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Block BFGS Methods.

Wenbo Gao, Donald Goldfarb

SIAM J. Optim., 2018

2017

Multidimensional optical access networks with spectral-spatial interworking.

Milorad Cvijetic, Ioannis Tomkos, Wenbo Gao

Proceedings of the 2017 19th International Conference on Transparent Optical Networks (ICTON), 2017

Stochastic Adaptive Quasi-Newton Methods for Minimizing Expected Values.

Chaoxu Zhou, Wenbo Gao, Donald Goldfarb

Proceedings of the 34th International Conference on Machine Learning, 2017