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Hao Ni
Hao Ni
Professor of Mathematics, UCL
Verified email at ucl.ac.uk - Homepage
Title
Cited by
Cited by
Year
Sig-Wasserstein GANs for Conditional Time Series Generation
H Ni, L Szpruch, M Wiese, S Liao, B Xiao
Mathematical Finance, 2023
147*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
1342017
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
1312013
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
98*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
932020
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
682021
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
572014
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
502018
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
49*2015
Learning stochastic differential equations using RNN with log signature features
S Liao, T Lyons, W Yang, H Ni
arXiv preprint arXiv:1908.08286, 2019
462019
The expected signature of a stochastic process
H Ni
Oxford University, UK, 2012
272012
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
252019
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
242018
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
232016
Uniqueness of signature for simple curves
H Boedihardjo, H Ni, Z Qian
Journal of Functional Analysis 267 (6), 1778-1806, 2014
222014
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
202021
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
192018
Signature inversion for monotone paths
J Chang, N Duffield, H Ni, W Xu
Electronic Communications in Probability 22, 2017
172017
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
152021
An Introduction to Machine Learning in Quantitative Finance
H Ni, X Dong, J Zheng, G Yu
World Scientific, 2021
102021
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