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王天磊

职称:讲师(高校)

毕业院校:杭州电子科技大学

邮件:tianleiwang@hdu.edu.cn

办公地点:

职务:

研究方向: 人工智能;机器学习;深度学习;神经网络;模式识别

个人简介

王天磊,男,1992.06,博士/硕导,长期从事人工智能理论与算法、智能信息处理等领域的研究,在机器学习、深度学习、随机神经网络、图像与声音识别等方面取得了若干成果。在IEEE TNNLSIEEE TMMPattern RecognitionNeural NetworkTNSRETCASIIIEEE IOT等知名期刊发表SCI论文30余篇,授权或公开发明专利多项,担任多个SCI TOP期刊审稿人。

教育经历
工作经历
社会职务

IEEE Member,中国自动化学会会员,中国人工智能学会会员

研究领域
教学与课程
横向科研
纵向科研

1)浙江省自然科学基金,探索项目/探索青年,基于多模态深度学习的地下管网防外破智能监测算法研究2022-012024-12,主持。

2)科技部-国家重点研发计划-战略性科技创新合作,基于5G边缘计算的沉浸式远程教育系统研究与应用2021-082024-07,杭电子课题负责人。

3)科技部-国家重点研发计划-政府间国际科技创新合作重点专项,基于多模态信号的癫痫发作智能监测与预警系统研发2021-072024-06165万元,参与。

4)浙江省自然科学基金,重点项目,一类鲁棒回归建模的并行优化理论与快速算法研究2022-012024-1230万元,参与。

5)浙江省自然科学基金,重点项目,视觉语义不规则的内河船舶智能监测核心算法研究2024-012026-1230万元,参与。

论文

[1]     Tianlei Wang, J. Cao, X. Lai and J. Wu, “Hierarchical One­Class Classifier with Within­Class Scatter-Based Autoencoders,” IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 8, pp. 3770-3776, 2021.

[2]     Tianlei Wang, J. Cao, H. Dai, B. Lei, and H. Zeng, “Robust Maximum Mixture Correntropy Criterion based One-Class Classification Algorithm,” IEEE Intelligent Systems, vol. 37, no. 2, pp. 69-78, 2022.

[3]     Tianlei Wang, J. Cao, L. Pei, “A Novel Underground Pipeline Surveillance System based on Hybrid Acoustic Features,” IEEE Sensors Journal, vol. 21, no. 2, pp. 1040­1050, 2021.

[4]     Tianlei Wang, J. Cao, R. Xu, and J. Wang, “Underground pipeline surveillance with an algorithm based on statistical time-frequency acoustic features.” Tsinghua Science and Technology, vol. 27, no. 2, pp. 358-371, 2022.

[5]     H. Lei(硕士生), Tianlei Wang, X. Bao, H. Huang, J. Cao, “Auxiliary Label Classification based Multi-label Limb Movement Recognition of Preterm Infant,” IEEE Transactions on Circuits and Systems for Video Technology, 2024, Online.

[6]     S. Zhang(硕士生), Tianlei Wang, J. Cao, W. Zhang, B. Chen, “Matrix randomized autoencoder,” Pattern Recognition, vol. 146, p. 109992, 2024.

[7]     H. Chen(硕士生), Tianlei Wang, J. Cao, P.-P. Vidal, and Y. Yang, “Dynamic Quaternion Extreme Learning Machine,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 68, no. 8, pp. 3012–3016, 2021.

[8]     W. Zeng(硕士生), Tianlei Wang, J. Cao, J. Wang, and H. Zeng, “Clustering-guided Pairwise Metric Triplet Loss for Person Re-identification,” IEEE Internet of Things Journal, vol.9, no. 6, pp. 15150-15160, 2022.

[9]     Z. Xu(硕士生), Tianlei Wang, J. Cao, Z. Bao, T. Jiang, and F. Gao, “BECT Spike Detection Based on Novel EEG Sequence Features and LSTM Algorithms,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 29, pp. 1734-1743, 2021.

[10]  S. Zhang(硕士生), Tianlei Wang, J. Cao, J. Liu, “Multichannel Matrix Randomized Autoencoder,” Neural Processing Letters, vol. 55, pp. 6199-6212, 2023.

著作
专利成果
荣誉及奖励
软件成果