在研项目：

国家自然科学基金委员会面上项目，面向抑郁障碍识别的多模态生理信号神经机制协同融合建模研究(62072219)，主持。

甘肃省自然科学基金重点项目，面向抑郁识别的脑神经动力学隐状态表征构建研究(22JR5RA401)，主持。

中央高校优秀青年支持计划项目，面向情感障碍分类诊断的心理生理动力学模型研究(lzujbky-2022-ey13)，主持。

国家重点研发计划，基于心理生理多模态信息的抑郁障碍早期识别与干预方法(2019YFA0706200)，项目骨干。

已完成项目：

国家自然科学基金委员会青年基金，基于网络行为及生理反馈信息的抑郁风险预测多任务建模(61402211)，主持。

“973”计划项目，基于生物、心理多模态信息的潜在抑郁风险预警理论与生物传感关键技术研究(2014CB744600)，项目骨干。

发表SCI/EI论文40余篇，部分代表性成果如下：

[1] Hou K, Zhang X, Yang Y, et al. Emotion Recognition from Multimodal Physiological Signals via Discriminative Correlation Fusion with a Temporal Alignment Mechanism[J]. IEEE Transactions on Cybernetics, 2023.(Top, IF= 11.8)

[2] Zhang X, Wei X, Zhou Z, et al. Dynamic Alignment and Fusion of Multimodal Physiological Patterns for Stress Recognition[J]. IEEE Transactions on Affective Computing, 2023.(IF=11.2)

[3] Shen J, Zhang Y, Liang H, et al. Depression Recognition from EEG Signals Using an Adaptive Channel Fusion Method via Improved Focal Loss[J]. IEEE Journal of Biomedical and Health Informatics, 2023.(Top, IF=7.7)

[4] Shen J, Zhang Y, Liang H, et al. Exploring the Intrinsic Features of EEG signals via Empirical Mode Decomposition for Depression Recognition[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022.(IF=4.528)

[5] Shen J, Zhang X, Huang X, et al. An optimal channel selection for EEG-based depression detection via kernel-target alignment[J]. IEEE Journal of Biomedical and Health Informatics, 2020, 25(7): 2545-2556.(Top, IF=7.021)

[6] Zhang X, Liu J, Shen J, et al. Emotion recognition from multimodal physiological signals using a regularized deep fusion of kernel machine[J]. IEEE Transactions on Cybernetics, 2020, 51(9): 4386-4399.(Top, IF=10.387)

[7] Zhang X, Lu D, Pan J, et al. Fatigue Detection with Covariance Manifolds of Electroencephalography in Transportation Industry[J]. IEEE Transactions on Industrial Informatics, 2020, 17(5): 3497-3507.(Top, IF=9.112)

[8] Zhang X, Pan J, Shen J, et al. Fusing of Electroencephalogram and Eye Movement with Group Sparse Canonical Correlation Analysis for Anxiety Detection[J]. IEEE Transactions on Affective Computing, 2020, 13(2): 958-971.(IF=6.288)

[9] Shen J, Zhang X, Wang G, et al. An Improved Empirical Mode Decomposition of Electroencephalogram Signals for Depression Detection[J]. IEEE Transactions on Affective Computing, 2019, 13(1): 262-271.(IF=6.288, ESI高被引论文)

[10] Zhang X, Shen J, ud Din Z, et al. Multimodal Depression Detection: Fusion of Electroencephalography and Paralinguistic Behaviors Using a Novel Strategy for Classifier Ensemble[J]. IEEE journal of biomedical and health informatics, 2019, 23(6): 2265-2275.(Top, IF=7.021)

[11] Zhang X, Lu D, Shen J, et al. Spatial-temporal Joint Optimization Network on Covariance Manifolds of Electroencephalography for Fatigue Detection[C]//2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2020: 893-900.(CCF B类, Regular Paper)

[12] 基于多导联脑电最优导联选择的抑郁检测系统，国家发明专利，ZL201911156635.X，2022.

[13] 结合人口学注意力机制的便携式脑电抑郁检测系统，国家发明专利，ZL 202010469004.X，2023.

International Journal of Data Mining and Bioinformatics (IJDMB)编委，中国计算机学会协同计算专业委员会执委，中国中文信息学会情感计算专业委员会执委，中国人工智能学会智能融合专业委员会委员，中国人工智能学会情感智能专业委员会委员。