| Online PCB defect detector on a new PCB defect dataset S Tang, F He, X Huang, J Yang arXiv preprint arXiv:1902.06197, 2019 | 155 | 2019 |
| Online robust principal component analysis with change point detection W Xiao, X Huang, F He, J Silva, S Emrani, A Chaudhuri IEEE Transactions on Multimedia 22 (1), 59-68, 2019 | 37 | 2019 |
| A Real-time PCB Defect Detector Based on Supervised and Semi-supervised Learning. F He, S Tang, S Mehrkanoon, X Huang, J Yang ESANN, 527-532, 2020 | 22 | 2020 |
| Relevance attack on detectors S Chen, F He, X Huang, K Zhang Pattern Recognition 124, 108491, 2022 | 18 | 2022 |
| Colonoscopic image synthesis for polyp detector enhancement via gan and adversarial training F He, S Chen, S Li, L Zhou, H Zhang, H Peng, X Huang 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1887-1891, 2021 | 17 | 2021 |
| Learning with asymmetric kernels: Least squares and feature interpretation M He, F He, L Shi, X Huang, JAK Suykens IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (8), 10044 …, 2023 | 13 | 2023 |
| Distilling object detectors with global knowledge S Tang, Z Zhang, Z Cheng, J Lu, Y Xu, Y Niu, F He European conference on computer vision, 422-438, 2022 | 13 | 2022 |
| Robust mixed one-bit compressive sensing X Huang, H Yang, Y Huang, L Shi, F He, A Maier, M Yan Signal Processing 162, 161-168, 2019 | 8 | 2019 |
| Consensus-based distributed kernel one-class support vector machine for anomaly detection T Wang, F He, R Yang, Z Ye, X Huang 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 4 | 2023 |
| Fast signal recovery from saturated measurements by linear loss and nonconvex penalties F He, X Huang, Y Liu, M Yan IEEE Signal Processing Letters 25 (9), 1374-1378, 2018 | 4 | 2018 |
| Decentralized kernel ridge regression based on data-dependent random feature R Yang, F He, M He, J Yang, X Huang IEEE transactions on neural networks and learning systems, 2024 | 3 | 2024 |
| Learning non-parametric kernel via matrix decomposition for logistic regression K Wang, F He, M He, X Huang Pattern Recognition Letters 171, 177-183, 2023 | 3 | 2023 |
| One-shot distributed algorithm for PCA with RBF kernels F He, K Lv, J Yang, X Huang IEEE Signal Processing Letters 28, 1465-1469, 2021 | 3 | 2021 |
| A decentralized framework for kernel PCA with projection consensus constraints F He, R Yang, L Shi, X Huang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025 | 2 | 2025 |
| Random fourier features for asymmetric kernels M He, F He, F Liu, X Huang Machine Learning 113 (11), 8459-8485, 2024 | 2 | 2024 |
| Improving colonoscopy polyp detection rate using semi-supervised learning L Yao, F He, H Peng, X Wang, L Zhou, X Huang Journal of Shanghai Jiaotong University (Science) 28 (4), 441-449, 2023 | 2 | 2023 |
| Scheme and dataset for evaluating computer-aided polyp detection system in colonoscopy L Yao, F He, X Wang, L Zhou, H Peng, X Huang 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 2 | 2022 |
| Data Imputation by Pursuing Better Classification: A Supervised Kernel-Based Method R Yang, F He, M He, K Wang, X Huang arXiv preprint arXiv:2405.07800, 2024 | 1 | 2024 |
| Consensus-based distributed algorithm for GEP K Lv, F He, X Huang, J Yang Signal Processing 216, 109307, 2024 | 1 | 2024 |
| Data imputation by pursuing better classification: a supervised learning approach R Yang, FAN He, M He, K Wang | 1 | 2024 |
Xiaolin Huang (黄晓霖)Professor, Shanghai Jiao Tong Universityכתובת אימייל מאומתת בדומיין sjtu.edu.cn