| Sig-Wasserstein GANs for Conditional Time Series Generation H Ni, L Szpruch, M Wiese, S Liao, B Xiao Mathematical Finance, 2023 | 136* | 2023 |
| Learning spatial-semantic context with fully convolutional recurrent network for online handwritten chinese text recognition Z Xie, Z Sun, L Jin, H Ni, T Lyons IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 | 129 | 2017 |
| Learning from the past, predicting the statistics for the future, learning an evolving system D Levin, T Lyons, H Ni arXiv preprint arXiv:1309.0260, 2013 | 122 | 2013 |
| Developing the path signature methodology and its application to landmark-based human action recognition W Yang, T Lyons, H Ni, C Schmid, L Jin arXiv preprint arXiv:1707.03993, 2017 | 91* | 2017 |
| Simultaneous left atrium anatomy and scar segmentations via deep learning in multiview information with attention G Yang, J Chen, Z Gao, S Li, H Ni, E Angelini, T Wong, R Mohiaddin, ... Future Generation Computer Systems 107, 215-228, 2020 | 88 | 2020 |
| Sig-Wasserstein GANs for Time Series Generation H Ni, L Szpruch, M Sabate-Vidales, B Xiao, M Wiese, S Liao ICAIF '21: Proceedings of the Second ACM International Conference on AI in …, 2021 | 59 | 2021 |
| A feature set for streams and an application to high-frequency financial tick data T Lyons, H Ni, H Oberhauser Proceedings of the 2014 International Conference on Big Data Science and …, 2014 | 55 | 2014 |
| Learning stochastic differential equations using RNN with log signature features S Liao, T Lyons, W Yang, H Ni arXiv preprint arXiv:1908.08286, 2019 | 46 | 2019 |
| Multiview two-task recursive attention model for left atrium and atrial scars segmentation J Chen, G Yang, Z Gao, H Ni, E Angelini, R Mohiaddin, T Wong, Y Zhang, ... International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 46 | 2018 |
| Expected signature of Brownian motion up to the first exit time from a domain T Lyons, H Ni Annals of Probability 43 (5), 2729-2762, 2015 | 41* | 2015 |
| Rotation-free online handwritten character recognition using dyadic path signature features, hanging normalization, and deep neural network W Yang, L Jin, H Ni, T Lyons 2016 23rd International Conference on Pattern Recognition (ICPR), 4083-4088, 2016 | 24 | 2016 |
| The expected signature of a stochastic process H Ni Oxford University, UK, 2012 | 24 | 2012 |
| A Path Signature Approach to Online Arabic Handwriting Recognition D Wilson-Nunn, T Lyons, A Papavasiliou, H Ni 2018 IEEE 2nd International Workshop on Arabic and Derived Script Analysis …, 2018 | 23 | 2018 |
| Uniqueness of signature for simple curves H Boedihardjo, H Ni, Z Qian Journal of Functional Analysis 267 (6), 1778-1806, 2014 | 22 | 2014 |
| A Path Signature Approach for Speech Emotion Recognition B Wang, M Liakata, H Ni, T Lyons, AJ Nevado-Holgado, K Saunders Interspeech 2019, 1661-1665, 2019 | 21 | 2019 |
| The expected signature of Brownian motion stopped on the boundary of a circle has finite radius of convergence H Boedihardjo, J Diehl, M Mezzarobba, H Ni Bulletin of the London Mathematical Society 53 (1), 285-299, 2021 | 18 | 2021 |
| Multiview sequential learning and dilated residual learning for a fully automatic delineation of the left atrium and pulmonary veins from late gadolinium-enhanced cardiac MRI … G Yang, J Chen, Z Gao, H Zhang, H Ni, E Angelini, R Mohiaddin, T Wong, ... 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 18 | 2018 |
| Signature inversion for monotone paths J Chang, N Duffield, H Ni, W Xu Electronic Communications in Probability 22, 2017 | 15 | 2017 |
| Logsig-RNN: a novel network for robust and efficient skeleton-based action recognition S Liao, T Lyons, W Yang, K Schlegel, H Ni proceedings in British Machine Vision Conference 2021, 2021 | 12 | 2021 |
| An Introduction to Machine Learning in Quantitative Finance H Ni, X Dong, J Zheng, G Yu World Scientific, 2021 | 10 | 2021 |
Lianwen JinProfessor of Electronic and Information Engineering, South China University of Technology在 scut.edu.cn 的電子郵件地址已通過驗證
