Stochastic Adaptive Quasi-Newton Methods for Minimizing Expected Values. - Chaoxu Zhou; Wenbo Gao; Donald Goldfarb (ICML, 2017)

Multidimensional optical access networks with spectral-spatial interworking. - Milorad Cvijetic; Ioannis Tomkos; Wenbo Gao (ICTON, 2017)

Block BFGS Methods. - Wenbo Gao; Donald Goldfarb (SIAM J. Optim., 2018)

Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models. - Yunfei Teng; Wenbo Gao; François Chalus; Anna Choromanska; Donald Goldfarb; Adrian Weller (NeurIPS, 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 007 (CoRR, 2019)

Quasi-Newton methods: superlinear convergence without line searches for self-concordant functions. - Wenbo Gao; Donald Goldfarb (Optim. Methods Softw., 2019)

ES-MAML: Simple Hessian-Free Meta Learning. - Xingyou Song; Wenbo Gao; Yuxiang Yang 007; Krzysztof Choromanski; Aldo Pacchiano; Yunhao Tang (ICLR, 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 (IROS, 2020)

Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning. - Xingyou Song; Yuxiang Yang 007; Krzysztof Choromanski; Ken Caluwaerts; Wenbo Gao; Chelsea Finn; Jie Tan 001 (IROS, 2020)

A Novel Two-way Multihop Relay Scheme Based on Decode-and-Forward and Network Coding. - Xuesong Jonathan Tan; Wenbo Gao; Xingyu Zhang (VTC Fall, 2020)

ADMM for multiaffine constrained optimization. - Wenbo Gao; Donald Goldfarb; Frank E. Curtis (Optim. Methods Softw., 2020)

Decentralized Economic Dispatching of Multi-Micro Grid Considering Wind Power and Photovoltaic Output Uncertainty. - Xiaohui Zhang; Wenbo Gao; Jiaqing Zhong (IEEE Access, 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 007 (CoRR, 2021)

Visible-infrared person re-identification based on key-point feature extraction and optimization. - Wenbo Gao; Li Liu 031; Lei Zhu 002; Huaxiang Zhang 001 (J. Vis. Commun. Image Represent., 2022)

Robotic Table Tennis: A Case Study into a High Speed Learning System. - David B. D'Ambrosio; Navdeep Jaitly; Vikas Sindhwani; Ken Oslund; Peng Xu 010; Nevena Lazic; Anish Shankar; Tianli Ding; Jonathan Abelian; Erwin Coumans; Gus Kouretas; Thinh Nguyen; et al. (Robotics: Science and Systems, 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; et al. (CoRR, 2023)

SACNet: A Spatially Adaptive Convolution Network for 2D Multi-organ Medical Segmentation. - Lin Zhang; Wenbo Gao; Jie Yi; Yunyun Yang (BIBM, 2024)

MFRGN: Multi-scale Feature Representation Generalization Network for Ground-to-Aerial Geo-localization. - Yuntao Wang; Jinpu Zhang; Ruonan Wei; Wenbo Gao; Yuehuan Wang (ACM Multimedia, 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, 2024)

An improved non-local means algorithm for CT image denoising. - Huihua Kong; Wenbo Gao; Xiaoshuang Du; Yunxia Di (Multim. Syst., 2024)

UAPT: an underwater acoustic target recognition method based on pre-trained Transformer. - Jun Tang; Enxue Ma; Yang Qu; Wenbo Gao; Yuchen Zhang; Lin Gan (Multim. Syst., 2025)