近期研究领域

1. Graph clustering and its applications (medical imaging, spatial omics data analysis)

2. Speech and acoustic signal processing (sound events, speech content, speaker identification, emotion recognition)

Selected Publications (* corresponding author)

2026

1. Ma Y., Kang K., Zhang M., Wang P., Ma X.*.        Robust algorithm with contrastive learning for identifying spatial domains from noised spatial transcriptomics data.        IEEE Transactions on Computational Biology and Bioinformatics, 2026. (Accepted， CCF B类期刊)

2. Ma Y., Dou Z., Zha Y., Ma X.*.    SA2E: spatial-aware auto-encoder for cell type deconvolution of spatial transcriptomics data.    Bioinformatics, 2026.（CCF A 类期刊）

3. Ma Y., Wang Y.*, Ma X.*.    Signal-based spatial domain identification of spatially resolved transcriptomics with multigraph fusion.    Briefings in Bioinformatics, 2026.（CCF B类期刊）

2025 and earlier

1. Wang Y., Ma W., Ma Y.*, Zhao W., Ma X.*.        Identifying spatial domains from spatial multi-omics data with graph mutual information and deep subspace learning.        IEEE Transactions on Computational Biology and Bioinformatics, 2025.（CCF B类期刊）

2. Cao S., Lv X., Ma Y.*, Ma X.*.    Multi-graph contrastive learning for community detection in multi-layer networks.    IEEE Transactions on Emerging Topics in Computational Intelligence, 2025.（中科院二区期刊）

3. Wang Z., Lin Q., Ma Y.*, Ma X.*.    Local high-order graph learning for multi-view clustering.    IEEE Transactions on Big Data, 2025.（中科院二区期刊）

4. Ma Y., Gao Y., Dou Z., Huang G.*, Ma X.*.    Clustering dynamic networks by discriminating roles of vertices and capturing temporality with subsequent feature projection.    Knowledge-Based Systems, 2024.(中科院一区期刊)

5. Liang H., Ji W., Wang R., Ma Y., Chen J., Chen M.    A scene-dependent sound event detection approach using multi-task learning.    IEEE Sensors Journal, 2022.

6. Ma Y., Chen J., Lu P.    Fine-grained dynamical speech emotion analysis utilizing networks customized for acoustic data.    IEEE AEECA, 2020.

7. Ma Y., Hao Y., Chen M.*, Chen J.*, Lu P., Košir.    Audio-visual emotion fusion (AVEF): a deep efficient weighted approach.    Information Fusion, 2019.（中科院一区期刊）

8. Liang H., Ma Y..    Acoustic scene classification using attention-based convolutional neural network.    DCASE Challenge, 2019.

Selected Patents

1. 马亚雄，马小科，等. 用于生物空间转录组切片的空间域识别方法及装置. 发明专利（授权，专利号：ZL202511712218.4）

2. 马亚雄，马小科，等. 基于形态学影像与空间转录组跨图协同学习的乳腺癌检测方法及系统. 发明专利（CN121582228A）

3. 马小科，柯守业，王昱，马亚雄，等. 基于对抗学习的多层异构网络结构挖掘谱聚类方法. 发明专利（CN121390141A）

Manuscripts Under Review

1. Corruption-robust Local-global Embedding with Adaptive Reconstruction for Bipartite Multi-view Clustering
   

2. Streaming Sound Event Detection With Cross-Block Time--Frequency Channel Statistics and Tail-Prioritized Causal Alignment on Edge Devices

欢迎有意参与科研学习的本科生与我联系，目前指导2024级4名同学开展科研和竞赛学习。

最近动态

• 2026.06：指导一名本科生获校级优秀毕业设计（计算机学院共5人）。

• 2026.04：一篇论文被TCBB 录用。

• 2026.03：一篇论文被Bioinformatics录用。

学生毕业去向：

• 2026届：

• 硕士毕业生：查宇洪（协助指导，字节跳动）。

• 本科毕业生：刘秉其（华为AI算法开发工程师，Special Offer），侯剑平、万子尧考取西电硕士研究生，孟小涵（协助指导）、王天浩（协助指导）保送西电硕士研究生。

• 2025届：

• 硕士毕业生：曹颂恩（协助指导，国家审计署）、王智（协助指导，华为）。

• 本科毕业生：贾文舒、尤艺谋分别就职智能家居和机器人行业，从事软件/算法研发工作。