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Dive into the research topics where Qinghua Tao is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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From Dense to Sparse: Event Response for Enhanced Residential Load Forecasting
Cao, X., Tao, Q., Zhou, Y., Zhang, L., Zhang, L., Song, D., Oliver Wu, D. & Zhu, C., 2025, In: IEEE Transactions on Instrumentation and Measurement. 74, 2510912.Research output: Contribution to journal › Article › peer-review
4 Link opens in a new tab Citations (Scopus) -
Multi-head ensemble of smoothed classifiers for certified robustness
Fang, K., Tao, Q., Wu, Y., Li, T., Huang, X. & Yang, J., Aug 2025, In: Neural Networks. 188, 107426.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Citation (Scopus) -
Deep Kernel Principal Component Analysis for multi-level feature learning
Tonin, F., Tao, Q., Patrinos, P. & Suykens, J. A. K., Feb 2024, In: Neural Networks. 170, p. 578-595 18 p.Research output: Contribution to journal › Article › peer-review
Open Access38 Link opens in a new tab Citations (Scopus) -
Feature Learning using Multi-view Kernel Partial Least Squares
Zeng, X., Tao, Q. & Suykens, J., 2024, p. 143-148. 6 p.Research output: Contribution to conference › Paper › peer-review
Open Access -
Kernel PCA for Out-of-Distribution Detection
Fang, K., Tao, Q., Lv, K., He, M., Huang, X. & Yang, J., 2024, In: Advances in Neural Information Processing Systems. 37Research output: Contribution to journal › Conference article › peer-review
6 Link opens in a new tab Citations (Scopus)