We stand with Ukraine

We stand with Ukraine

Wenbo Gao

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026

ORACLE: Anticipating Scams from Partial Trajectories in Streaming App Usage.

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CoRR, May, 2026

AgentCollab: A Self-Evaluation-Driven Collaboration Paradigm for Efficient LLM Agents.

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CoRR, March, 2026

SynMatch: A synergistic system for multi-level semi-supervised medical image segmentation.

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Chung-Wai James Cheung

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Duo Wai-Chi Wong

Knowl. Based Syst., 2026

Dual-stream frequency-domain framework with contextual graph enhancer and consensus-difference fusion for cross-view geo-localization.

[DOI]

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J. Vis. Commun. Image Represent., 2026

2025

UAPT: an underwater acoustic target recognition method based on pre-trained Transformer.

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Multim. Syst., February, 2025

SIAT: Pedestrian trajectory prediction via social interaction-aware transformer.

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Complex Intell. Syst., 2025

Ada-FCN: Adaptive Frequency-Coupled Network for fMRI-Based Brain Disorder Classification.

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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

WFDRNet: Wavelet-Embedded Feature Distillation and Refinement Network for Unsupervised Anomaly Segmentation.

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Proceedings of the 21st IEEE International Conference on Automation Science and Engineering, 2025

ReMaskNet: Regenerate Mask Network for Industrial Anomaly Detection and Segmentation.

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Proceedings of the 21st IEEE International Conference on Automation Science and Engineering, 2025

2024

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

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Multim. Syst., April, 2024

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

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Sensors, March, 2024

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

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

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

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

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

[DOI]

CoRR, 2023

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

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

2022

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

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J. Vis. Commun. Image Represent., 2022

2021

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

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Krzysztof Choromanski

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Jack Parker-Holder

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CoRR, 2021

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

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IEEE Access, 2021

2020

ADMM for multiaffine constrained optimization.

[DOI]

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Donald Goldfarb

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Frank E. Curtis

Optim. Methods Softw., 2020

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

[DOI]

Xuesong Jonathan Tan

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Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning.

[DOI]

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Krzysztof Choromanski

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

Robotic Table Tennis with Model-Free Reinforcement Learning.

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Krzysztof Choromanski

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Vikas Sindhwani

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

ES-MAML: Simple Hessian-Free Meta Learning.

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Krzysztof Choromanski

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

2019

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

[DOI]

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Donald Goldfarb

Optim. Methods Softw., 2019

Reinforcement Learning with Chromatic Networks.

[DOI]

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Krzysztof Choromanski

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Jack Parker-Holder

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CoRR, 2019

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

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François Chalus

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Anna Choromanska

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Donald Goldfarb

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

2018

Block BFGS Methods.

[DOI]

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Donald Goldfarb

SIAM J. Optim., 2018

2017

Multidimensional optical access networks with spectral-spatial interworking.

[DOI]

Milorad Cvijetic

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

Stochastic Adaptive Quasi-Newton Methods for Minimizing Expected Values.

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Donald Goldfarb

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

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