Ruobing Qian

33 papers A* 3Journal 29Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
DTSF: A dual-branch temporal and spectral fusion model with data augmentation for intracranial EEG classification.
Biomed. Signal Process. Control.
Kun Wang, Xun Chen, Chang Li, Ruobing Qian, Aiping Liu
2026 J jnl
Generalizable Seizure Prediction With LLMs: Converting EEG to Textual Representations.
IEEE J. Biomed. Health Informatics
Yuchang Zhao, Aiping Liu, Chang Li, Lanlan Wang, Ruobing Qian, Xun Chen
2025 J jnl
A GAN Guided Parallel CNN and Transformer Network for EEG Denoising.
IEEE J. Biomed. Health Informatics
Jin Yin, Aiping Liu, Chang Li, Ruobing Qian, Xun Chen
2025 J jnl
Active source-free domain adaptation for intracranial EEG classification via neighborhood uncertainty and diversity.
Biomed. Signal Process. Control.
Kun Wang, Ming Yang, Aiping Liu, Chang Li, Ruobing Qian, Xun Chen
2025 J jnl
CH-Net: A Cross Hybrid Network for Medical Image Segmentation.
IEEE Trans. Artif. Intell.
Jiale Li, Aiping Liu, Wei Wei, Ruobing Qian, Xun Chen
2025 J jnl
Data Augmentation for Seizure Prediction With Generative Diffusion Model.
IEEE Trans. Cogn. Dev. Syst.
Kai Shu, Le Wu, Yuchang Zhao, Aiping Liu, Ruobing Qian, Xun Chen
2025 J jnl
EEGDfus: A Conditional Diffusion Model for Fine-Grained EEG Denoising.
IEEE J. Biomed. Health Informatics
Xiaoyang Huang, Chang Li, Aiping Liu, Ruobing Qian, Xun Chen
2025 J jnl
Uncertainty-guided Fourier-based domain generalization for seizure prediction.
Expert Syst. Appl.
Zhiwei Deng, Chang Li, Rencheng Song, Xiang Liu, Ruobing Qian, Xun Chen
2024 J jnl
A Dual-Branch Interactive Fusion Network to Remove Artifacts From Single-Channel EEG.
IEEE Trans. Instrum. Meas.
Heng Cui, Chang Li, Aiping Liu, Ruobing Qian, Xun Chen
2024 J jnl
An interpretable and generalizable deep learning model for iEEG-based seizure prediction using prototype learning and contrastive learning.
Comput. Biol. Medicine
Yikai Gao, Aiping Liu, Heng Cui, Ruobing Qian, Xun Chen
2024 J jnl
Centroid-Guided Domain Incremental Learning for EEG-Based Seizure Prediction.
IEEE Trans. Instrum. Meas.
Zhiwei Deng, Chang Li, Rencheng Song, Xiang Liu, Ruobing Qian, Xun Chen
2024 J jnl
Distilling Invariant Representations With Domain Adversarial Learning for Cross-Subject Children Seizure Prediction.
IEEE Trans. Cogn. Dev. Syst.
Ziye Zhang, Aiping Liu, Yikai Gao, Xinrui Cui, Ruobing Qian, Xun Chen
2024 J jnl
Machine Unlearning for Seizure Prediction.
IEEE Trans. Cogn. Dev. Syst.
Chenghao Shao, Chang Li, Rencheng Song, Xiang Liu, Ruobing Qian, Xun Chen
2024 J jnl
Rethinking Deep Supervision for Brain Tumor Segmentation.
IEEE Trans. Artif. Intell.
Jiale Li, Aiping Liu, Yu Li, Wei Wei, Ruobing Qian, Qingguo Xie, Bensheng Qiu, Xun Chen
2023 J jnl
Data Augmentation for Seizure Prediction with Generative Diffusion Model.
CoRR
Kai Shu, Yuchang Zhao, Le Wu, Aiping Liu, Ruobing Qian, Xun Chen
2023 J jnl
EEG-based seizure prediction via hybrid vision transformer and data uncertainty learning.
Eng. Appl. Artif. Intell.
Zhiwei Deng, Chang Li, Rencheng Song, Xiang Liu, Ruobing Qian, Xun Chen
2023 J jnl
MSAIF-Net: A Multistage Spatial Attention-Based Invertible Fusion Network for MR Images.
IEEE Trans. Instrum. Meas.
Xiaowen Zhang, Aiping Liu, Pan Jiang, Ruobing Qian, Wei Wei, Xun Chen
2023 J jnl
Patient-Specific Seizure Prediction From Electroencephalogram Signal via Multichannel Feedback Capsule Network.
IEEE Trans. Cogn. Dev. Syst.
Chang Li, Yuchang Zhao, Rencheng Song, Xiang Liu, Ruobing Qian, Xun Chen
2023 J jnl
Semi-Supervised Domain-Adaptive Seizure Prediction via Feature Alignment and Consistency Regularization.
IEEE Trans. Instrum. Meas.
Deng Liang, Aiping Liu, Yikai Gao, Chang Li, Ruobing Qian, Xun Chen
2022 — conf
A Binocular Model to Evaluate User Experience in Ophthalmic and AR Prescription Lens Designs.
ISMAR Adjunct
Collins Opoku-Baah, Ian M. Erkelens, Ruobing Qian, Robin Sharma
2022 J jnl
A Novel SSA-CCA Framework forMuscle Artifact Removal from Ambulatory EEG.
Virtual Real. Intell. Hardw.
Yuheng Feng, Qingze Liu, Aiping Liu, Ruobing Qian, Xun Chen
2022 J jnl
A general sample-weighted framework for epileptic seizure prediction.
Comput. Biol. Medicine
Yikai Gao, Aiping Liu, Xinrui Cui, Ruobing Qian, Xun Chen
2022 J jnl
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A comprehensive survey.
IEEE Signal Process. Mag.
Xun Chen, Chang Li, Aiping Liu, Martin J. McKeown, Ruobing Qian, Z. Jane Wang
2022 J jnl
Transient motion classification through turbid volumes via parallelized single-photon detection and deep contrastive embedding.
CoRR
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
2021 J jnl
Imaging dynamics beneath turbid media via parallelized single-photon detection.
CoRR
Shiqi Xu, Xi Yang, Wenhui Liu, Joakim Jönsson, Ruobing Qian, Pavan Chandra Konda, Kevin C. Zhou, Qionghai Dai, Haoqian Wang, Edouard Berrocal, Roarke Horstmeyer
2021 A* conf
Mesoscopic Photogrammetry With an Unstabilized Phone Camera.
CVPR
Kevin C. Zhou, Colin L. V. Cooke, Jaehee Park, Ruobing Qian, Roarke Horstmeyer, Joseph A. Izatt, Sina Farsiu
2021 J jnl
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey.
CoRR
Xun Chen, Chang Li, Aiping Liu, Martin J. McKeown, Ruobing Qian, Z. Jane Wang
2020 J jnl
Mesoscopic photogrammetry with an unstabilized phone camera.
CoRR
Kevin C. Zhou, Colin L. V. Cooke, Jaehee Park, Ruobing Qian, Roarke Horstmeyer, Joseph A. Izatt, Sina Farsiu
2020 J jnl
Optical Coherence Tomography-Guided Robotic Ophthalmic Microsurgery via Reinforcement Learning from Demonstration.
IEEE Trans. Robotics
Brenton Keller, Mark Draelos, Kevin Zhou, Ruobing Qian, Anthony N. Kuo, George Konidaris, Kris Hauser, Joseph A. Izatt
2020 A* conf
Toward Autonomous Robotic Micro-Suturing using Optical Coherence Tomography Calibration and Path Planning.
ICRA
Yuan Tian, Mark Draelos, Gao Tang, Ruobing Qian, Anthony N. Kuo, Joseph A. Izatt, Kris Hauser
2020 J jnl
Toward Autonomous Robotic Micro-Suturing using Optical Coherence Tomography Calibration and Path Planning.
CoRR
Yuan Tian, Mark Draelos, Gao Tang, Ruobing Qian, Anthony N. Kuo, Joseph A. Izatt, Kris Hauser
2019 A* conf
Automatic Optical Coherence Tomography Imaging of Stationary and Moving Eyes with a Robotically-Aligned Scanner.
ICRA
Mark Draelos, Pablo Ortiz, Ruobing Qian, Brenton Keller, Kris Hauser, Anthony N. Kuo, Joseph A. Izatt
2019 J jnl
Remove Diverse Artifacts Simultaneously From a Single-Channel EEG Based on SSA and ICA: A Semi-Simulated Study.
IEEE Access
Juan Cheng, Luchang Li, Chang Li, Yu Liu, Aiping Liu, Ruobing Qian, Xun Chen