| On interpretability of artificial neural networks: A survey FL Fan, J Xiong, M Li, G Wang IEEE Transactions on Radiation and Plasma Medical Sciences 5 (6), 741-760, 2021 | 467* | 2021 |
| CTformer: convolution-free Token2Token dilated vision transformer for low-dose CT denoising D Wang, F Fan, Z Wu, R Liu, F Wang, H Yu Physics in Medicine & Biology 68 (6), 065012, 2023 | 161* | 2023 |
| Quadratic autoencoder (Q-AE) for low-dose CT denoising F Fan, H Shan, MK Kalra, R Singh, G Qian, M Getzin, Y Teng, J Hahn, ... IEEE transactions on medical imaging 39 (6), 2035-2050, 2019 | 132 | 2019 |
| Noise suppression with similarity-based self-supervised deep learning C Niu, M Li, F Fan, W Wu, X Guo, Q Lyu, G Wang IEEE transactions on medical imaging 42 (6), 1590-1602, 2022 | 87* | 2022 |
| Universal approximation with quadratic deep networks F Fan, J Xiong, G Wang Neural Networks 124, 383-392, 2020 | 74 | 2020 |
| A new type of neurons for machine learning F Fan, W Cong, G Wang International journal for numerical methods in biomedical engineering 34 (2 …, 2018 | 68 | 2018 |
| Attention-embedded quadratic network (qttention) for effective and interpretable bearing fault diagnosis JX Liao, HC Dong, ZQ Sun, J Sun, S Zhang, FL Fan IEEE Transactions on Instrumentation and Measurement 72, 1-13, 2023 | 47 | 2023 |
| Learning from pseudo-randomness with an artificial neural network–does god play pseudo-dice? F Fan, G Wang IEEE Access 6, 22987-22992, 2018 | 39 | 2018 |
| Fuzzy logic interpretation of quadratic networks F Fan, G Wang Neurocomputing 374, 10-21, 2020 | 35* | 2020 |
| Generalized backpropagation algorithm for training second‐order neural networks F Fan, W Cong, G Wang International journal for numerical methods in biomedical engineering 34 (5 …, 2018 | 33 | 2018 |
| On a sparse shortcut topology of artificial neural networks FL Fan, D Wang, H Guo, Q Zhu, P Yan, G Wang, H Yu IEEE Transactions on Artificial Intelligence 3 (4), 595-608, 2021 | 30* | 2021 |
| On Expressivity and Trainability of Quadratic Networks F Fan, M Li, F Wang, R Lai, G Wang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 26 | 2023 |
| Soft autoencoder and its wavelet adaptation interpretation F Fan, M Li, Y Teng, G Wang IEEE Transactions on Computational Imaging 6, 1245-1257, 2020 | 25 | 2020 |
| Low-dimensional manifold-constrained disentanglement network for metal artifact reduction C Niu, W Cong, FL Fan, H Shan, M Li, J Liang, G Wang IEEE transactions on radiation and plasma medical sciences 6 (6), 656-666, 2021 | 20 | 2021 |
| Quasi-equivalence between width and depth of neural networks F Fan, R Lai, G Wang Journal of Machine Learning Research 24 (183), 1-22, 2023 | 17* | 2023 |
| Neural network gaussian processes by increasing depth S Zhang, F Wang, F Fan IEEE Transactions on Neural Networks and Learning Systems, 2022 | 11 | 2022 |
| Retinex Image Enhancement Based on Sequential Decomposition with a Plug-and-Play Framework T Wu, W Wu, Y Yang, FL Fan*, T Zeng* IEEE Transactions on Neural Networks and Learning Systems, 2023 | 8 | 2023 |
| One neuron saved is one neuron earned: On parametric efficiency of quadratic networks FL Fan, HC Dong, Z Wu, L Ruan, T Zeng, Y Cui, JX Liao arXiv preprint arXiv:2303.06316, 2023 | 8 | 2023 |
| Quadratic neural networks for CT metal artifact reduction F Fan, H Shan, L Gjesteby, G Wang Developments in X-Ray Tomography XII 11113, 195-201, 2019 | 7 | 2019 |
| Deep relu networks have surprisingly simple polytopes FL Fan, W Huang, X Zhong, L Ruan, T Zeng, H Xiong, F Wang arXiv preprint arXiv:2305.09145, 2023 | 6 | 2023 |
Ge WangRensselaer Polytechnic InstituteVerified email at rpi.edu
