控制理论与控制工程

| 姓 名: | 陶清华 | 性别: | 女 | 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.

