Ruobing Qian

According to our database, Ruobing Qian authored at least 23 papers between 2019 and 2025.

Collaborative distances:

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

2025

Uncertainty-guided Fourier-based domain generalization for seizure prediction.

Zhiwei Deng, Chang Li, Rencheng Song, Xiang Liu, Ruobing Qian, Xun Chen

Expert Syst. Appl., 2025

2024

Machine Unlearning for Seizure Prediction.

Chenghao Shao, Chang Li, Rencheng Song, Xiang Liu, Ruobing Qian, Xun Chen

IEEE Trans. Cogn. Dev. Syst., December, 2024

Rethinking Deep Supervision for Brain Tumor Segmentation.

Jiale Li, Aiping Liu, Yu Li, Wei Wei, Ruobing Qian, Qingguo Xie, Bensheng Qiu, Xun Chen

IEEE Trans. Artif. Intell., May, 2024

Distilling Invariant Representations With Domain Adversarial Learning for Cross-Subject Children Seizure Prediction.

Ziye Zhang, Aiping Liu, Yikai Gao, Xinrui Cui, Ruobing Qian, Xun Chen

IEEE Trans. Cogn. Dev. Syst., February, 2024

Centroid-Guided Domain Incremental Learning for EEG-Based Seizure Prediction.

Zhiwei Deng, Chang Li, Rencheng Song, Xiang Liu, Ruobing Qian, Xun Chen

IEEE Trans. Instrum. Meas., 2024

A Dual-Branch Interactive Fusion Network to Remove Artifacts From Single-Channel EEG.

Heng Cui, Chang Li, Aiping Liu, Ruobing Qian, Xun Chen

IEEE Trans. Instrum. Meas., 2024

An interpretable and generalizable deep learning model for iEEG-based seizure prediction using prototype learning and contrastive learning.

Yikai Gao, Aiping Liu, Heng Cui, Ruobing Qian, Xun Chen

Comput. Biol. Medicine, 2024

2023

Patient-Specific Seizure Prediction From Electroencephalogram Signal via Multichannel Feedback Capsule Network.

Chang Li, Yuchang Zhao, Rencheng Song, Xiang Liu, Ruobing Qian, Xun Chen

IEEE Trans. Cogn. Dev. Syst., September, 2023

MSAIF-Net: A Multistage Spatial Attention-Based Invertible Fusion Network for MR Images.

Xiaowen Zhang, Aiping Liu, Pan Jiang, Ruobing Qian, Wei Wei, Xun Chen

IEEE Trans. Instrum. Meas., 2023

Semi-Supervised Domain-Adaptive Seizure Prediction via Feature Alignment and Consistency Regularization.

Deng Liang, Aiping Liu, Yikai Gao, Chang Li, Ruobing Qian, Xun Chen

IEEE Trans. Instrum. Meas., 2023

EEG-based seizure prediction via hybrid vision transformer and data uncertainty learning.

Zhiwei Deng, Chang Li, Rencheng Song, Xiang Liu, Ruobing Qian, Xun Chen

Eng. Appl. Artif. Intell., 2023

Data Augmentation for Seizure Prediction with Generative Diffusion Model.

Kai Shu, Yuchang Zhao, Le Wu, Aiping Liu, Ruobing Qian, Xun Chen

CoRR, 2023

2022

A Novel SSA-CCA Framework forMuscle Artifact Removal from Ambulatory EEG.

Yuheng Feng, Qingze Liu, Aiping Liu, Ruobing Qian, Xun Chen

Virtual Real. Intell. Hardw., 2022

Toward Open-World Electroencephalogram Decoding Via Deep Learning: A comprehensive survey.

Xun Chen, Chang Li, Aiping Liu, Martin J. McKeown, Ruobing Qian, Z. Jane Wang

IEEE Signal Process. Mag., 2022

Transient motion classification through turbid volumes via parallelized single-photon detection and deep contrastive embedding.

Shiqi Xu, Wenhui Liu, Xi Yang, Joakim Jönsson, Ruobing Qian, Paul McKee, Kanghyun Kim, Pavan Chandra Konda, Kevin C. Zhou, Lucas Kreiß, Haoqian Wang, Edouard Berrocal, Scott Huettel, Roarke Horstmeyer

CoRR, 2022

A general sample-weighted framework for epileptic seizure prediction.

Yikai Gao, Aiping Liu, Xinrui Cui, Ruobing Qian, Xun Chen

Comput. Biol. Medicine, 2022

A Binocular Model to Evaluate User Experience in Ophthalmic and AR Prescription Lens Designs.

Collins Opoku-Baah, Ian M. Erkelens, Ruobing Qian, Robin Sharma

Proceedings of the 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2022

2021

Imaging dynamics beneath turbid media via parallelized single-photon detection.

Shiqi Xu, Xi Yang, Wenhui Liu, Joakim Jönsson, Ruobing Qian, Pavan Chandra Konda, Kevin C. Zhou, Qionghai Dai, Haoqian Wang, Edouard Berrocal, Roarke Horstmeyer

CoRR, 2021

Mesoscopic Photogrammetry With an Unstabilized Phone Camera.

Kevin C. Zhou, Colin L. V. Cooke, Jaehee Park, Ruobing Qian, Roarke Horstmeyer, Joseph A. Izatt, Sina Farsiu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Optical Coherence Tomography-Guided Robotic Ophthalmic Microsurgery via Reinforcement Learning from Demonstration.

Brenton Keller, Mark Draelos, Kevin Zhou, Ruobing Qian, Anthony N. Kuo, George Konidaris, Kris Hauser, Joseph A. Izatt

IEEE Trans. Robotics, 2020

Toward Autonomous Robotic Micro-Suturing using Optical Coherence Tomography Calibration and Path Planning.

Yuan Tian, Mark Draelos, Gao Tang, Ruobing Qian, Anthony N. Kuo, Joseph A. Izatt, Kris Hauser

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Remove Diverse Artifacts Simultaneously From a Single-Channel EEG Based on SSA and ICA: A Semi-Simulated Study.

Juan Cheng, Luchang Li, Chang Li, Yu Liu, Aiping Liu, Ruobing Qian, Xun Chen

IEEE Access, 2019

Automatic Optical Coherence Tomography Imaging of Stationary and Moving Eyes with a Robotically-Aligned Scanner.

Mark Draelos, Pablo Ortiz, Ruobing Qian, Brenton Keller, Kris Hauser, Anthony N. Kuo, Joseph A. Izatt

Proceedings of the International Conference on Robotics and Automation, 2019