控制理论与控制工程

姓 名: 陶清华 性别: 出生年月: 1992.04
职 称: 准聘教授 职务:
最高学历: 博士
学科方向: 控制理论与控制工程
人才计划: 国家级青年人才 办公地点:
电子邮件: qinghua.tao@bit.edu.cn 联系方式:
通讯地址: 北京市海淀区中关村南大街5号院
导师类型:

教育与工作经历

2010.09-2014.04 中南大学 测控技术与仪器 学士

2014.09-2020.06 清华大学 自动化系 博士 导师:王书宁教授

2017.10-2018.10 比利时荷语鲁汶大学 电子系 联培博士 导师:Johan A.K. Suykens

2020.09-2023.08 比利时荷语鲁汶大学 电子系 博士后 导师:Johan A.K. Suykens

2023.09-2025.02 比利时荷语鲁汶大学 电子系 科研人员

2025.03- bob手机在线登陆 自动化学院 准聘教授

研究方向

1. 神经网络建模与优化

2. 机器学习理论及应用

3. 具身智能与无人系统


更多研究工作详见:qinghua-tao.github.io

欢迎对我们研究工作感兴趣的本科生、硕士生、博士生及博士后与我邮件联系。


近5年承担的科研项目

1. 深度神经网络建模与优化,国家自然科学基金优秀青年科学基金项目(海外),2025-2027,主持


代表性学术论文

[1]Q. Tao, L. Li, X. Huang, X. Xi, S. Wang, and J.A.K. Suykens. "Piecewise Linear Neural Networks and Deep Learning,"Nature Reviews MethodsPrimers, 2022. (影响因子:50.1)

[2]Q. Tao,F. Tonin, and J.A.K. Suykens. "Keynotes on Asymmetric Kernel SVD."Cybernetic and Intelligence,2025.

[3] K. Fang*,Q. Tao*,X. Huang, and J. Yang. "Towards Robust Neural Networks via Orthogonal Diversity."International Journal of Computer Vision (IJCV), 2024.

[4]Q. Tao, F. Tonin, P. Patrinos, and J.A.K. Suykens. "Tensor-based Multi-view Spectral Clustering via Shared Latent Space." Information Fusion,2024.

[5]Q. Tao*, F. Tonin*, A. Lambert, Y. Chen, P. Patrinos, and J.A.K. Suykens. "Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström Method."International Conference on Machine Learning (ICML), 2024.

[6] Y. Chen*,Q. Tao*, F. Tonin, and J.A.K. Suykens. "Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes."International Conference on Machine Learning (ICML), 2024.

[7] F. Tonin§,Q. Tao§, P. Patrinos, and J.A.K. Suykens. "Deep Kernel Principal Component Analysis for Multi-level Feature Learning."Neural Networks,2024.

[8] K. Fang,Q. Tao§, K. Lv, M. He, X. Huang, J. Yang§, "Kernel PCA for Out-of-Distribution Detection",Advances in Neural Information Processing Systems (NeurIPS),2024.

[9] Y. Chen*,Q. Tao*, F. Tonin, and J.A.K. Suykens. "Primal-attention: Self-attention through Asymmetric Kernel SVD in Primal Representation."Advances in Neural Information Processing Systems (NeurIPS), 2023.

[10]Q. Tao, Z. Li, J. Xu, S. Lin, B. De Schutter, and J.A.K. Suykens. “Short-term Traffic Flow Prediction Based on the Efficient Hinging Hyperplanes Neural etwork,"IEEE Transactions on Intelligent Transportation Systems, 2022.

[11] D. Li*,Q. Tao*, J. Liu, and H. Wang. "Center-aware Adversarial Autoencoder for Anomaly Detection."IEEE Transactions on Neural Networks andLearning Systems, vol. 33, no. 6, pp. 2480-2493, 2022.

[12]Q. Tao, J. Xu, Z. Li, N. Xie, S. Wang, X. Li, and J.A.K. Suykens. "Toward Deep Adaptive Hinging Hyperplanes,"IEEE Transactions on Neural Networks and Learning Systems,2021.

[13]Q. Tao, Z. Li, J. Xu, N. Xie, S. Wang, and J.A.K. Suykens. “Learning with Continuous Piecewise Linear Decision Trees,”Expert Systems with Applications,”2020.

[14]Q. Tao,X. Huang, S. Wang, and L. Li. “Adaptive Block Coordinate DIRECT Algorithm,”Journal of Global Optimization,2017.

[15]Q. Tao,X. Huang, S. Wang, X. Xi, and L. Li. “Multiple Gaussian Graphical Estimation with Jointly Sparse Penalty,”Signal Processing, 2016.

[16] T. Li,Q. Tao, W. Yan, Y. Wu, Z. Lei, K. Fang, M. He, X. Huang."Revisiting Random Weight Perturbation for Efficiently Improving Generalization."Transactions on Machine Learning Research(TMLR),2024.

[17] K. Fang,Q. Tao,Y. Wu, T. Li, J. Cai, F. Cai, X. Huang, and J. Yang. "Towards Robust Neural Networks via Orthogonal Diversity."Pattern Recognition,vol. 149, pp. 110281, 2024.

[18] J. Xu,Q. Tao,Z. Li, X. Xi, J.A.K. Suykens, and S. Wang. “Efficient Hinging Hyperplanes Neural Network and its Application in Nonlinear System Identification.”Automatica,vol. 116, pp. 108906, 2020.


*共同一作(equal contribution); § 通讯作者(corresponding author)


授权国家发明专利及出版专著


专著


科研获奖


讲授课程、出版教材及教学成果


讲授课程


出版教材


教学成果


学术兼职

国际会议委员: The IFAC Workshop on Control for Smart Cities 2025, Machine Learning Journal Track in IEEE International Conference on Data Science and Advanced Analytics 2024.

论坛组织者:International Workshop on Deep Learning and Kernel Machines 2024; Workshop on Rethinking Transformers through Duality and New Directions 2024.

期刊审稿⼈:Machine Learning、Neural Networks、Pattern Recognition Letters、IEEE TIP、IEEE TNNLS、IEEE SPL、IEEE TASE、IEEE TCSVT等.

会议审稿⼈:NeurIPS、ICML、ICLR、ICASSP、CDC、ACC等.


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