Discrimination between Alternative Herbal Medicines from Different Categories with the Electronic Nose. - Xianghao Zhan; Xiaoqing Guan; Rumeng Wu; Zhan Wang; You Wang 001; Guang Li 001 (Sensors, 2018)

Deep Learning Head Model for Real-time Estimation of Entire Brain Deformation in Concussion. - Xianghao Zhan; Yuzhe Liu; Samuel J. Raymond; Hossein Vahid Alizadeh; August G. Domel; Olivier Gevaert; Michael Zeineh; Gerald A. Grant; David B. Camarillo (CoRR, 2020)

Prediction of brain strain across head impact subtypes using 18 brain injury criteria. - Xianghao Zhan; Yiheng Li; Yuzhe Liu; August G. Domel; Hossein Vahid Alizadeh; Samuel J. Raymond; Jesse Ruan; Saeed Barbat; Stephen Tiernan; Olivier Gevaert; Michael Zeineh; Gerald A. Grant (CoRR, 2020)

An electric power forecasting method based on dual time series attention mechanism neural network structure. - Xianghao Zhan; Lifeng Lei; Liang Kou (QRS Companion, 2021)

Boost AI Power: Data Augmentation Strategies with unlabelled Data and Conformal Prediction, a Case in Alternative Herbal Medicine Discrimination with Electronic Nose. - Li Liu 046; Xianghao Zhan; Rumeng Wu; Xiaoqing Guan; Zhan Wang; Wei Zhang 256; You Wang 001; Zhiyuan Luo 001; Guang Li 001 (CoRR, 2021)

Predictive Factors of Kinematics in Traumatic Brain Injury from Head Impacts Based on Statistical Interpretation. - Xianghao Zhan; Yiheng Li; Yuzhe Liu; August G. Domel; Hossein Vahid Alizadeh; Zhou Zhou; Nicholas J. Cecchi; Stephen Tiernan; Jesse Ruan; Saeed Barbat; Olivier Gevaert; Michael Zeineh; et al. (CoRR, 2021)

Classification of head impacts based on the spectral density of measurable kinematics. - Xianghao Zhan; Yiheng Li; Yuzhe Liu; Nicholas J. Cecchi; Samuel J. Raymond; Zhou Zhou; Hossein Vahid Alizadeh; Jesse Ruan; Saeed Barbat; Stephen Tiernan; Olivier Gevaert; Michael M. Zeineh; et al. (CoRR, 2021)

Kinematics clustering enables head impact subtyping for better traumatic brain injury prediction. - Xianghao Zhan; Yiheng Li; Yuzhe Liu; Nicholas J. Cecchi; Olivier Gevaert; Michael M. Zeineh; Gerald A. Grant; David B. Camarillo (CoRR, 2021)

Rapidly and accurately estimating brain strain and strain rate across head impact types with transfer learning and data fusion. - Xianghao Zhan; Yuzhe Liu; Nicholas J. Cecchi; Olivier Gevaert; Michael M. Zeineh; Gerald A. Grant; David B. Camarillo (CoRR, 2021)

Unsupervised cross-user adaptation in taste sensationrecognition based on surface electromyography withconformal prediction and domain regularizedcomponent analysis. - Hengyang Wang; Xianghao Zhan; Li Liu 046; Asif Ullah; Huiyan Li; Han Gao 006; You Wang 001; Guang Li 001 (CoRR, 2021)

Data-driven decomposition of brain dynamics with principal component analysis in different types of head impacts. - Xianghao Zhan; Yuzhe Liu; Nicholas J. Cecchi; Olivier Gevaert; Michael M. Zeineh; Gerald A. Grant; David B. Camarillo (CoRR, 2021)

AI-based analysis of CT images for rapid triage of COVID-19 patients. - Qinmei Xu 003; Xianghao Zhan; Zhen Zhou; Yiheng Li; Peiyi Xie; Shu Zhang 001; Xiuli Li; Yizhou Yu; Changsheng Zhou; Longjiang Zhang; Olivier Gevaert; Guangming Lu (npj Digit. Medicine, 2021)

Structuring clinical text with AI: Old versus new natural language processing techniques evaluated on eight common cardiovascular diseases. - Xianghao Zhan; Marie Humbert-Droz; Pritam Mukherjee; Olivier Gevaert (Patterns, 2021)

Rapid Estimation of Entire Brain Strain Using Deep Learning Models. - Xianghao Zhan; Yuzhe Liu; Samuel J. Raymond; Hossein Vahid Alizadeh; August G. Domel; Olivier Gevaert; Michael M. Zeineh; Gerald A. Grant; David B. Camarillo (IEEE Trans. Biomed. Eng., 2021)

Filter Drug-induced Liver Injury Literature with Natural Language Processing and Ensemble Learning. - Xianghao Zhan; Fanjin Wang; Olivier Gevaert (CoRR, 2022)

Denoising instrumented mouthguard measurements of head impact kinematics with a convolutional neural network. - Xianghao Zhan; Yuzhe Liu; Nicholas J. Cecchi; Ashlyn A. Callan; Enora Le Flao; Olivier Gevaert; Michael M. Zeineh; Gerald A. Grant; David B. Camarillo (CoRR, 2022)

An Anomaly Detection Algorithm Based on Ensemble Learning for 5G Environment. - Lifeng Lei; Liang Kou; Xianghao Zhan; Jilin Zhang; Yongjian Ren (Sensors, 2022)

Finding the Spatial Co-Variation of Brain Deformation With Principal Component Analysis. - Xianghao Zhan; Yuzhe Liu; Nicholas J. Cecchi; Olivier Gevaert; Michael M. Zeineh; Gerald A. Grant; David B. Camarillo (IEEE Trans. Biomed. Eng., 2022)

CPSC: Conformal Prediction With Shrunken Centroids for Efficient Prediction Reliability Quantification and Data Augmentation, a Case in Alternative Herbal Medicine Classification With Electronic Nose. - Li Liu 046; Xianghao Zhan; Xikai Yang; Xiaoqing Guan; Rumeng Wu; Zhan Wang; Zhiyuan Luo 001; You Wang 001; Guang Li 001 (IEEE Trans. Instrum. Meas., 2022)

Unsupervised Cross-User Adaptation in Taste Sensation Recognition Based on Surface Electromyography. - Hengyang Wang; Xianghao Zhan; Li Liu 046; Asif Ullah; Huiyan Li; Han Gao 006; You Wang 001; Ruifen Hu; Guang Li 001 (IEEE Trans. Instrum. Meas., 2022)

Reliably Filter Drug-Induced Liver Injury Literature With Natural Language Processing and Conformal Prediction. - Xianghao Zhan; Fanjin Wang; Olivier Gevaert (IEEE J. Biomed. Health Informatics, 2022)

Toward more accurate and generalizable brain deformation estimators for traumatic brain injury detection with unsupervised domain adaptation. - Xianghao Zhan; Jiawei Sun; Yuzhe Liu; Nicholas J. Cecchi; Enora Le Flao; Olivier Gevaert; Michael M. Zeineh; David B. Camarillo (CoRR, 2023)

Reliability-based cleaning of noisy training labels with inductive conformal prediction in multi-modal biomedical data mining. - Xianghao Zhan; Qinmei Xu 003; Yuanning Zheng; Guangming Lu; Olivier Gevaert (CoRR, 2023)

Reliable Long-Term Energy Load Trend Prediction Model for Smart Grid Using Hierarchical Decomposition Self-Attention Network. - Xianghao Zhan; Liang Kou; Meiting Xue; Jilin Zhang; Li Zhou 008 (IEEE Trans. Reliab., 2023)

Identification of head impact locations, speeds, and force based on head kinematics. - Xianghao Zhan; Yuzhe Liu; Nicholas J. Cecchi; Jessica Towns; Ashlyn A. Callan; Olivier Gevaert; Michael M. Zeineh; David B. Camarillo (CoRR, 2024)

Brain Deformation Estimation With Transfer Learning for Head Impact Datasets Across Impact Types. - Xianghao Zhan; Yuzhe Liu; Nicholas J. Cecchi; Olivier Gevaert; Michael M. Zeineh; Gerald A. Grant; David B. Camarillo (IEEE Trans. Biomed. Eng., 2024)

AI-Based Denoising of Head Impact Kinematics Measurements With Convolutional Neural Network for Traumatic Brain Injury Prediction. - Xianghao Zhan; Yuzhe Liu; Nicholas J. Cecchi; Ashlyn A. Callan; Enora Le Flao; Olivier Gevaert; Michael M. Zeineh; Gerald A. Grant; David B. Camarillo (IEEE Trans. Biomed. Eng., 2024)

Earbuds Orientation Alignment Based on Markov Chain Monte Carlo Sampling. - Xianghao Zhan; Nafiul Rashid; Ebrahim Nemati; Mohsin Y. Ahmed; Jilong Kuang (ICASSP, 2025)

Reliability-enhanced data cleaning in biomedical machine learning using inductive conformal prediction. - Xianghao Zhan; Qinmei Xu 003; Yuanning Zheng; Guangming Lu; Olivier Gevaert (PLoS Comput. Biol., 2025)

Benchmarking Chest X-ray Diagnosis Models Across Multinational Datasets. - Qinmei Xu 003; Yiheng Li; Xianghao Zhan; Ahmet Gorkem Er; Brittany Dashevsky; Chuanjun Xu; Mohammed Alawad; Mengya Yang; Liu Ya; Changsheng Zhou; Xiao Li; Haruka Itakura; et al. (CoRR, 2025)

Sensor Drift Compensation in Electronic-Nose-Based Gas Recognition Using Knowledge Distillation. - Juntao Lin; Xianghao Zhan (CoRR, 2025)