Wenbo Gao - RankMe

33 papers A* 4A 2Journal 20Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgentCollab: A Self-Evaluation-Driven Collaboration Paradigm for Efficient LLM Agents. CoRR Wenbo Gao, Renxi Liu, Xian Wang, Fang Guo, Shuai Yang, Xi Chen, Hui-Ling Zhen, Hanting Chen, Weizhe Lin, Xiaosong Li, Yaoyuan Wang
2026	J	`jnl`	SynMatch: A synergistic system for multi-level semi-supervised medical image segmentation. Knowl. Based Syst. Minxin Chen, Wenbo Gao, Li-Wen Zha, Yunyun Yang, Chung-Wai James Cheung, Duo Wai-Chi Wong
2025	—	`conf`	Ada-FCN: Adaptive Frequency-Coupled Network for fMRI-Based Brain Disorder Classification. MICCAI (12) Yue Xun, Jiaxing Xu, Wenbo Gao, Chen Yang, Shujun Wang
2025	J	`jnl`	Ada-FCN: Adaptive Frequency-Coupled Network for fMRI-Based Brain Disorder Classification. CoRR Yue Xun, Jiaxing Xu, Wenbo Gao, Chen Yang, Shujun Wang
2025	—	`conf`	ReMaskNet: Regenerate Mask Network for Industrial Anomaly Detection and Segmentation. CASE Wenbo Gao, Xian Tao, Xinyi Gong, Yihang Zhu, Zhaohui Song
2025	J	`jnl`	SIAT: Pedestrian trajectory prediction via social interaction-aware transformer. Complex Intell. Syst. Chengdong Wang, Jianming Wang, Wenbo Gao, Lei Guo
2025	J	`jnl`	UAPT: an underwater acoustic target recognition method based on pre-trained Transformer. Multim. Syst. Jun Tang, Enxue Ma, Yang Qu, Wenbo Gao, Yuchen Zhang, Lin Gan
2025	—	`conf`	WFDRNet: Wavelet-Embedded Feature Distillation and Refinement Network for Unsupervised Anomaly Segmentation. CASE Yihang Zhu, Xian Tao, Xinyi Gong, Wenbo Gao, Zhaohui Song, Hongbo Wang
2024	J	`jnl`	An improved non-local means algorithm for CT image denoising. Multim. Syst. Huihua Kong, Wenbo Gao, Xiaoshuang Du, Yunxia Di
2024	J	`jnl`	Deep Learning Based Underwater Acoustic Target Recognition: Introduce a Recent Temporal 2D Modeling Method. Sensors Jun Tang, Wenbo Gao, Enxue Ma, Xinmiao Sun, Jinying Ma
2024	A*	`conf`	MFRGN: Multi-scale Feature Representation Generalization Network for Ground-to-Aerial Geo-localization. ACM Multimedia Yuntao Wang, Jinpu Zhang, Ruonan Wei, Wenbo Gao, Yuehuan Wang
2024	—	`conf`	SACNet: A Spatially Adaptive Convolution Network for 2D Multi-organ Medical Segmentation. BIBM Lin Zhang, Wenbo Gao, Jie Yi, Yunyun Yang
2024	J	`jnl`	SACNet: A Spatially Adaptive Convolution Network for 2D Multi-organ Medical Segmentation. CoRR Lin Zhang, Wenbo Gao, Jie Yi, Yunyun Yang
2023	—	`conf`	Robotic Table Tennis: A Case Study into a High Speed Learning System. Robotics: Science and Systems 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
2023	J	`jnl`	Robotic Table Tennis: A Case Study into a High Speed Learning System. CoRR 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
2022	J	`jnl`	Visible-infrared person re-identification based on key-point feature extraction and optimization. J. Vis. Commun. Image Represent. Wenbo Gao, Li Liu, Lei Zhu, Huaxiang Zhang
2021	J	`jnl`	Decentralized Economic Dispatching of Multi-Micro Grid Considering Wind Power and Photovoltaic Output Uncertainty. IEEE Access Xiaohui Zhang, Wenbo Gao, Jiaqing Zhong
2021	J	`jnl`	ES-ENAS: Combining Evolution Strategies with Neural Architecture Search at No Extra Cost for Reinforcement Learning. CoRR Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Daiyi Peng, Deepali Jain, Wenbo Gao, Aldo Pacchiano, Tamás Sarlós, Yuxiang Yang
2020	—	`conf`	A Novel Two-way Multihop Relay Scheme Based on Decode-and-Forward and Network Coding. VTC Fall Xuesong Jonathan Tan, Wenbo Gao, Xingyu Zhang
2020	J	`jnl`	ADMM for multiaffine constrained optimization. Optim. Methods Softw. Wenbo Gao, Donald Goldfarb, Frank E. Curtis
2020	A*	`conf`	ES-MAML: Simple Hessian-Free Meta Learning. ICLR Xingyou Song, Wenbo Gao, Yuxiang Yang, Krzysztof Choromanski, Aldo Pacchiano, Yunhao Tang
2020	A	`conf`	Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning. IROS Xingyou Song, Yuxiang Yang, Krzysztof Choromanski, Ken Caluwaerts, Wenbo Gao, Chelsea Finn, Jie Tan
2020	J	`jnl`	Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning. CoRR Xingyou Song, Yuxiang Yang, Krzysztof Choromanski, Ken Caluwaerts, Wenbo Gao, Chelsea Finn, Jie Tan
2020	A	`conf`	Robotic Table Tennis with Model-Free Reinforcement Learning. IROS Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly
2020	J	`jnl`	Robotic Table Tennis with Model-Free Reinforcement Learning. CoRR Wenbo Gao, Laura Graesser, Krzysztof Choromanski, Xingyou Song, Nevena Lazic, Pannag Sanketi, Vikas Sindhwani, Navdeep Jaitly
2019	J	`jnl`	ES-MAML: Simple Hessian-Free Meta Learning. CoRR Xingyou Song, Wenbo Gao, Yuxiang Yang, Krzysztof Choromanski, Aldo Pacchiano, Yunhao Tang
2019	A*	`conf`	Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models. NeurIPS Yunfei Teng, Wenbo Gao, François Chalus, Anna Choromanska, Donald Goldfarb, Adrian Weller
2019	J	`jnl`	Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models. CoRR Yunfei Teng, Wenbo Gao, François Chalus, Anna Choromanska, Donald Goldfarb, Adrian Weller
2019	J	`jnl`	Quasi-Newton methods: superlinear convergence without line searches for self-concordant functions. Optim. Methods Softw. Wenbo Gao, Donald Goldfarb
2019	J	`jnl`	Reinforcement Learning with Chromatic Networks. CoRR Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Wenbo Gao, Aldo Pacchiano, Tamás Sarlós, Deepali Jain, Yuxiang Yang
2018	J	`jnl`	Block BFGS Methods. SIAM J. Optim. Wenbo Gao, Donald Goldfarb
2017	—	`conf`	Multidimensional optical access networks with spectral-spatial interworking. ICTON Milorad Cvijetic, Ioannis Tomkos, Wenbo Gao
2017	A*	`conf`	Stochastic Adaptive Quasi-Newton Methods for Minimizing Expected Values. ICML Chaoxu Zhou, Wenbo Gao, Donald Goldfarb