1、基本信息
姓名：蔡畅
专业职称：副教授
硕士生招生专业：计算机科学与技术 电子信息
邮箱：ccai@ccnu.edu.cn
2、工作经历
2017-11月至2020-11月,加州大学旧金山分校,博士后
2020-09月至今,华中师范大学 人工智能教育学部,副研究员
3、研究方向
脑源重构，脑功能成像，脑磁/脑电信号噪声去除，动态脑网络研究，数据分析与成分提取，机器学习，高性能计算，贝叶斯模型
4、科研项目
国家自然科学基金面上项目，2023.1-2026.12，主持在研
国家自然科学基金青年科学基金项目，2021.01-2023.12，结题
湖北省自然科学基金面上项目，2022-2023，结题
武汉市科技局知识创新专项基础研究，2023.6-2025.6，主持在研
华中师范大学师资“教师队伍建设经费”，2021-2025，主持在研
5、专利成果
2018，一种基于GPGPU的非线性非稳态复杂信号自适应分解方法，ZL201510687716.8
2018，一种基于小波相干性多元神经信号关联性分析方法，ZL201510434032.7
2021，一种基于贝叶斯估计的多层次多尺度层析成像方法，ZL201810239448.7
2022，一种基于脑源空间分割的多相关源扫描成像方法，ZL201810239440.0
2022，一种基于贝叶斯的儿童脑活动异常病灶区成像系统，ZL202011553134.8
2021，一种脑源活动高分辨率重构系统及方法，202111266401.8
2022，一种脑电磁传感器采样数据重建系统及方法，202210694674.0
2022，一种脑源活动和噪声同时求解系统及方法，202210694765.4
2022，一种事件相关脑活动时空频动态定位系统及方法，202210654202.2、
2023，基于经验贝叶斯的脑电磁采样数据空间重构系统及方法，202311153894.3
2024，一种高分辨率脑源成像系统及方法，202410235722.9
2024，一种基于经验贝叶斯的多维平滑脑成像系统及方法，202410235723.3
2024，一种脑源活动与噪声因子同时估计的求解系统及方法，2024102357248
2022，基于无创脑电磁采样的癫痫病灶区定位系统， 2023SR0480794
2023，脑电磁采样数据分析系统，2023SR1778997
6、个人荣誉
2022，湖北省高层次人才支持计划
2021，武汉市，“武汉英才”优秀青年人才
孤独症儿童智能教育干预关键技术及其应用，湖北省科技厅，湖北省科学技术进步奖，一等奖，2020
“人工智能+特殊教育”团队，华中师范大学“校长奖”，2020
Cai C & Nagarajan, S. S. A simulation benchmark of EEG and MEG based brain connectivity estimation pipelines Category MEG-based localization. Data Analysis Competition Winner, 2016, The 20th International Conference on Biomagnetism, Seoul, Korea.
Chang Cai, Stefan Haufe, Ali Hashemi, Kensuke Sekihara & Srikantan S Nagarajan. Interference removing, noise learning, and Bayesian reconstruction of electromagnetic brain imaging. Outstanding Trainee Speaking Award. 2019 MEG North America Workshop, Bethesda, MD, USA.
Mithun Diwakar, Chang Cai & Srikantan Nagarajan. Robust and Efficient High-resolution Beamformer Reconstruction of Magnetoencephalographic Brain Imaging Data Using Low-Resolution Sparse Bayesian Learning. Best Poster Award. 2019, 16th Annual UCSF Radiology Imaging Research Symposium. University of California, San Francisco, USA.
Chang Cai. Work-at-Home award. 2020, University of California, San Francisco, USA.
7、教育背景
2007年至2011年,中国地质大学（武汉）,计算机学院,本科
2011年至2017年,中国地质大学（武汉）,计算机学院,博士
2015年至2017年,加州大学旧金山分校,医学院,联合培养,博士
2017年至2020年,加州大学旧金山分校,医学院,博士后
8、我的学生
杨康,硕士研究生,2020年入学(已毕业),
张哲远,硕士研究生,2020年入学(已毕业),北京中国农业银行总行
龙源顺,硕士研究生,2021年入学(未毕业),
齐鑫宝,硕士研究生,2021年入学(未毕业),
黄朝伟,硕士研究生,2021年入学(已毕业),
翁世玺,硕士研究生,2021年入学(已毕业),
马凯,硕士研究生,2022年入学(未毕业),
郭锦成,硕士研究生,2022年入学(未毕业),
王佳慧,硕士研究生,2022年入学(未毕业),
柯河朋,硕士研究生,2022年入学(未毕业),
林俊,硕士研究生,2022年入学(未毕业),
陈冰洁,已毕业),
9、发表论文
Chang Cai, Xinbao Qi, Jing Yan, Yingying Shang, Kensuke Sekihara, Wei Wu, and Srikantan S. Nagarajan (2025). Efficient super-resolution Bayesian eletromagnetic brain imaging. IEEE Transactions on Biomedical Engineering (TBME). (通讯，中科院分区2区）
Sanjay Ghosh, Chang Cai, Ali Hashemi, Yijing Gao, Stefan Haufe, Kensuke Sekihara, Ashish Raj and Srikantan S Nagarajan (2025). Structured Noise Champagne: An Empirical Bayesian Algorithm for Electromagnetic Brain Imaging With Structured Noise. Frontiers in Human Neuroscience.（通讯，中科院分区，3区）
Yufei Qiao, Jiayan Yang, Min Zhu, Qiaoyu Liu, Yuanshun Long, Hepeng Ke, Chang Cai, Yingying Shang. Concurrent compensation for auditory and visual processing in individuals with single-sided deafness. Ear and Hearing. 2025. Accepted. （中科院分区，1区，通讯）
Cai, C., Wang, J., Lin, J., Yang, K., Kang, H., Chen, J., & Wu, W. (2025). Functional connectivity analysis of children with autism under emotional clips. IEEE Transactions on Affective Computing.（中科院分区，1区，top）
Chang Cai, Xinbao Qi, Yuanshun Long, Zheyuan Zhang, Jing Yan, Huicong Kang, Wei Wu and Srikantan S. Nagarajan. Robust interpolation of EEG/MEG sensor time-series via electromagnetic source imaging. Journal of neural engineering, 2024. accepted. (中科院分区，3区)
Chang Cai, Yuanshun Long, Sanjay Ghosh, Ali Hashemi, Yijing Gao, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Wei Wu, and Srikantan S. Nagarajan. Bayesian adaptive beamformer for robust electromagnetic brain imaging of correlated sources in high spatial resolution. IEEE Transactions on Medical Imaging, 2023, accepted. (IF=10.6, top，中科院分区，1区)
Chang Cai, Huicong Kang, Ali Hashemi, Dan Chen, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Wei Wu, and Srikantan S. Nagarajan. Bayesian algorithms for joint estimation of brain activity and noise in electromagnetic imaging. IEEE Transactions on Medical Imaging, 2022, accepted. (IF=10.6, top，中科院分区，1区)
Cai C, Leighton Hinkley, Yijing Gao, Ali Hashemi, Stefan Haufe, Kensuke Sekihara, Srikantan S. Nagarajan. Empirical Bayesian localization of event-related time-frequency neural activity dynamics[J]. NeuroImage, 2022, 258: 119369. ( IF=5.7,top，Q1，中科院分区，1区).
Cai C, Ali Hashemi, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Srikantan S. Nagarajan. Robust estimation of noise for electromagnetic brain imaging with the Champagne algorithm[J]. NeuroImage, 2021, 225: 117411. (IF=5.7，top，Q1，中科院分区，1区)
Cai C, Diwakar M, Chen D, et al. Robust Empirical Bayesian Reconstruction of Distributed Sources for Electromagnetic Brain Imaging[J]. IEEE Transactions on Medical Imaging, 2020, 39(3): 567-577. (IF=10.6, top，Q1，中科院分区，1区)
Cai C, Xu J, Velmurugan J, et al. Evaluation of a dual signal subspace projection algorithm in magnetoencephalographic recordings from patients with intractable epilepsy and vagus nerve stimulators[J]. NeuroImage, 2019, 188: 161-170. (IF=7.4，top，Q1，中科院分区，1区)
Cai C, Sekihara K, Nagarajan S S. Hierarchical multiscale Bayesian algorithm for robust MEG/EEG source reconstruction[J]. NeuroImage, 2018, 183: 698-715. (IF=7.4，top，Q1，中科院分区，1区)
Cai C, Zeng K, Tang L, et al. Towards adaptive synchronization measurement of large-scale non-stationary non-linear data[J]. Future Generation Computer Systems, 2015, 43: 110-119. (IF=7.2，Q1，中科院分区，1区，top)
Cai C, Kang H, Kirsch H E, et al. Comparison of DSSP and tSSS algorithms for removing artifacts from vagus nerve stimulators in magnetoencephalography data[J]. Journal of neural engineering, 2019, 16(6): 066045. (IF=5，Q1，中科院分区，2区)
Cai C, Chen J, Findlay A, Mizuiri D, Sekihara K, Kirsch HE and Nagarajan SS (2021) Clinical Validation of the Champagne Algorithm for Epilepsy Spike Localization. Frontiers in Human Neuroscience. 15:642819. doi: 10.3389/fnhum.2021.642819.
Ke H, Cai C, Wang F, Hu F, Tang J and Shi Y (2021) Interpretation of Frequency Channel-Based CNN on Depression Identification. Front. Comput. Neurosci. 15:773147.（通讯作者）
Raj A, Cai C, Xie X, et al. Spectral graph theory of brain oscillations[J]. Human Brain Mapping, 2020.（一作和最后作者为PI）
Jun Lin, Jiahui Wang, Chang Cai. Robust Bayesian estimation of multiscale brain source activity using MEG data. IEEE Biomedical Circuits and Systems Conference (BioCAS），2024.（通讯作者）
Hepeng Ke, Chang Cai, Srikantan Nagarajan. Joint Bayesian estimation of brain regional activity.IEEE Biomedical Circuits and Systems Conference (BioCAS），2024.（通讯作者）
Jincheng Guo, Chang Cai, Yuanshun Long, Leyuan Liu, Jingying Chen. Dynamic brain network transitions of Children with autism in spontaneous brain activity. 2024 the 4th International Conference on Educational Technology. 2024.（通讯作者）
Yang K, Chen J, Cai C. A preliminary study of brain connectivity in autism using affection-evoked movie clips[C]//2021 IEEE International Conference on Engineering, Technology & Education (TALE). IEEE, 2021: 1135-1138.（通讯作者）
Cai C, Sekihara K, and Nagarajan S S. A Novel Scanning Algorithm for MEG/EEG imaging using Covariance Partitioning and Noise Learning. In 2019 the 41st International Engineering in Medicine and Biology Conference, IEEE/EMBC, Berlin, Germany （EI国际会议）
Cai, C., Diwakar, M., Sekihara, K., & Nagarajan, S. S. (2019, March). Robust Bayesian algorithm for distributed source reconstructions MEG/EEG data. In 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) (pp. 336-339). IEEE. （EI国际会议）
Cai C, Sekihara K and Nagarajan S S, "Hierarchical multiscale Bayesian algorithms for biomagnetic brain imaging," 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER), Shanghai, 2017, pp. 142-145. （EI国际会议）
Cai C, Chen H, Deng Z, Chen D, Khan S, Zeng K, and Wu M, "GPGPU-Aided 3D Staggered-grid Finite-difference Seismic Wave Modeling," in 12th International Conference on Scalable Computing and Communications (ScalCom), Changzhou, China, December 2012.
Cai C, Wang L, Tao J, Chen D, "Energy-aware High Performance Computing - A Taxonomy Study,” Proceedings of IEEE ICPADS2011 (In conjunction with DCIA2011), Tainan, Dec. 2011. （EI国际会议）
Zhu, Min, Yufei Qiao, Wen Sun, Yang Sun, Yuanshun Long, Hua Guo, Chang Cai, Hang Shen, and Yingying Shang. "Visual selective attention in individuals with age-related hearing loss." NeuroImage 298 (2024): 120787.
Wang, Fengqin, Hengjin Ke, and Cang Cai. "Deep Wavelet Self-Attention Non-negative Tensor Factorization for non-linear analysis and classification of fMRI data." Applied Soft Computing (2025): 113522.
Wenlong Wang, Feifei Qi, David Wipf, Chang Cai, Tianyou Yu, Yuanqing Li, Yu Zhang, Zhuliang Yu, Wei Wu, Sparse Bayesian Learning for End-to-End EEG Decoding. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, accepted. IF=23.6
Hashemi A, Cai C, Gao Y, et al. Joint learning of full-structure noise in hierarchical Bayesian regression models[J]. IEEE Transactions on Medical Imaging, 2022.
Ali Hashemi; Chang Cai; Gitta Kutyniok; Klaus-Robert Müller; Srikantan S Nagarajan; Stefan Haufe. Unification of Sparse Bayesian Learning Algorithms for Electromagnetic Brain Imaging with the Majorization Minimization Framework [J]. NeuroImage, 2021
Xie X, Cai C, Damasceno P F, et al. Emergence of Canonical Functional Networks from the Structural Connectome[J]. NeuroImage, 2021: 118190.
Bhutada A S, Cai C, Mizuiri D, et al. Clinical Validation of the Champagne Algorithm for Evoked Response Source Localization in Magnetoencephalography[J]. Brain Topography, 2021: 1-12.
Oganian, Y., Kojima, K., Breska, A., Cai, C., Findlay, A., Chang, E., & Nagarajan, S. (2023). Phase alignment of low-frequency neural activity to the amplitude envelope of speech reflects evoked responses to acoustic edges, not oscillatory entrainment. Journal of Neuroscience.
Huang, G., Liu, K., Liang, J., Cai, C., Gu, Z. H., Qi, F., ... & Wu, W. (2022). Electromagnetic Source Imaging via a Data-Synthesis-Based Convolutional Encoder–Decoder Network. IEEE Transactions on Neural Networks and Learning Systems.
Kamalini Ranasinghe, Parul Verma, Chang Cai, Xihe Xie, Kiwamu Kudo, Xiao Gao, Hannah Lerner, Danielle Mizuiri, Amelia Strom, Leonardo Iaccarino, Renaud La Joie, Bruce L Miller, Maria Luisa Gorno-Tempini, Katherine P Rankin, William J Jagust, Keith Vossel, Gil Rabinovici, Ashish Raj, Srikantan Nagarajan;Altered excitatory and inhibitory neuronal subpopulation parameters are distinctly associated with tau and amyloid in Alzheimer's disease;2022, elife,
Shang, Y., Hinkley, L. B., Cai, C., Mizuiri, D., Cheung, S. W., & Nagarajan, S. S. (2019). Cross-modal plasticity in adult single-sided deafness revealed by alpha band resting-state functional connectivity. NeuroImage, 116376.
Ali Hashemi, Yijing Gao, Chang Cai, Sanjay Ghosh, Klaus-Robert Mu ̈ller, Srikantan S. Nagarajan, and Stefan Haufe (2021), Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging. 35th Conference on Neural Information Processing Systems (NeurIPS 2021).
Ghosh, S., Cai, C., Gao, Y., Hashemi, A., Haufe, S., Sekihara, K., ... & Nagarajan, S. S. (2023, April). Bayesian Inference for Brain Source Imaging with Joint Estimation of Structured Low-rank Noise. In 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) (pp. 1-5).
Yunbo Tang; Dan Chen;Honghai Liu; Chang Cai; Xiaoli Li;Deep EEG Super-resolution via Correlating Brain Structural and Functional Connectivities; IEEE Transactions on Cybernetics; 2022;10.1109/ TCYB.2022.3178370
Liu, Z., Shu, K., Geng, Y., Cai, C., & Kang, H. Deep brain stimulation of fornix in Alzheimer's disease: from basic research to clinical practice. European Journal of Clinical Investigation, e13995.
Shang, Y., Hinkley, L. B., Cai, C., Subramaniam, K., Chang, Y. S., Owen, J. P., ... & Cheung, S. W. (2018). Functional and Structural Brain Plasticity in Adult Onset Single-Sided Deafness. Frontiers in Human Neuroscience, 12, 474.
Chang, Jolie L.; Crawford, Ethan D.; Bhutada, Abhishek S.; Henderson Sabes, Jennifer; Chen, Jessie; Cai, Chang; Dale, Corby L., Findlay, Anne M.; Mizuiri, Danielle; Nagarajan, Srikantan S.; Cheung, Steven W. Interhemispheric Auditory Cortical Synchronization in Asymmetric Hearing Loss, Ear and Hearing: March 26, 2021 - Volume Publish Ahead of Print - Issue - doi: 10.1097/AUD.0000000000001027
Sekihara, K., Adachi, Y., Kubota, H. K., Cai, C., & Nagarajan, S. S. (2018). Beamspace dual signal space projection (bDSSP): a method for selective detection of deep sources in MEG measurements. Journal of neural engineering, 15(3), 036026.
Subramaniam, K., Hinkley, L. B., Mizuiri, D., Kothare, H., Cai, C., Garrett, C., ... & Nagarajan, S. S. (2019). Beta-band activity in medial prefrontal cortex predicts source memory encoding and retrieval accuracy. Scientific reports, 9(1), 6814.
Chen D, Hu Y, Cai C, Zeng K, Li X. Brain big data processing with massively parallel computing technology: challenges and opportunities. Software: Practice and Experience. 2017 Mar 1;47(3):405-20.
D. Chen, X. Li, L. Wang, S. Khan, J. Wang, K. Zeng, C. Cai, "Fast and Scalable Multi-way Analysis of Neural Data,” IEEE Transactions on Computers, 10.1109/TC.2013.2295806, 2013.
Chen D, Lu D, Tian M, He S, Wang S, Tian J, Cai C and Li X，“Towards Energy-efficient Parallel Analysis of Neural Signals”, ClusterComputing (Springer), 16(1):39-53, 2013.
Leighton B Hinkley, Corby L Dale, Chang Cai, Johanna Zumer, Sarang S Dalal, Anne Findlay, Kensuke Sekihara, Srikantan S Nagarajan. NUTMEG: Open Source Software for M/EEG Source Reconstruction. Frontiers in Neuroscience. 2020, 14: 710.
