Hao Ni

According to our database, Hao Ni authored at least 28 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

NODE-ImgNet: A PDE-informed effective and robust model for image denoising.

Xinheng Xie, Yue Wu, Hao Ni, Cuiyu He

Pattern Recognit., April, 2024

Skeleton-Based Gesture Recognition With Learnable Paths and Signature Features.

Jiale Cheng, Dongzi Shi, Chenyang Li, Yu Li, Hao Ni, Lianwen Jin, Xin Zhang

IEEE Trans. Multim., 2024

GCN-DevLSTM: Path Development for Skeleton-Based Action Recognition.

Lei Jiang, Weixin Yang, Xin Zhang, Hao Ni

CoRR, 2024

2023

A Neural RDE-based model for solving path-dependent PDEs.

Bowen Fang, Hao Ni, Yue Wu

CoRR, 2023

SegCTC: Offline Handwritten Chinese Text Recognition via Better Fusion Between Explicit and Implicit Segmentation.

Jiarong Huang, Dezhi Peng, Hongliang Li, Hao Ni, Lianwen Jin

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

EnsExam: A Dataset for Handwritten Text Erasure on Examination Papers.

Liufeng Huang, Bangdong Chen, Chongyu Liu, Dezhi Peng, Weiying Zhou, Yaqiang Wu, Hui Li, Hao Ni, Lianwen Jin

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

2022

Path Signature Neural Network of Cortical Features for Prediction of Infant Cognitive Scores.

Jiale Cheng, Xin Zhang, Hao Ni, Chenyang Li, Xiangmin Xu, Zhengwang Wu, Li Wang, Weili Lin, Gang Li

IEEE Trans. Medical Imaging, 2022

Towards fast weak adversarial training to solve high dimensional parabolic partial differential equations using XNODE-WAN.

Paul Valsecchi Oliva, Yue Wu, Cuiyu He, Hao Ni

J. Comput. Phys., 2022

2021

ɛ-Strong Simulation of Fractional Brownian Motion and Related Stochastic Differential Equations.

Yi Chen, Jing Dong, Hao Ni

Math. Oper. Res., 2021

Forex Trading Volatility Prediction using Neural Network Models.

Shujian Liao, Jian Chen, Hao Ni

CoRR, 2021

Learning Infant Brain Developmental Connectivity for Cognitive Score Prediction.

Yu Li, Jiale Cheng, Xin Zhang, Ruiyan Fang, Lufan Liao, Xinyao Ding, Hao Ni, Xiangmin Xu, Zhengwang Wu, Dan Hu, Weili Lin, Li Wang, John H. Gilmore, Gang Li

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Sig-wasserstein GANs for time series generation.

Hao Ni, Lukasz Szpruch, Marc Sabate Vidales, Baoren Xiao, Magnus Wiese, Shujian Liao

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

Logsig-RNN: a novel network for robust and efficient skeleton-based action recognition.

Hao Ni, Shujian Liao, Weixin Yang, Kevin Schlegel, Terry J. Lyons

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Introduction to Machine Learning and Quantitative Finance

Hao Ni, Xin Dong, Jinsong Zheng, Guangxi Yu

Advanced Textbooks in Mathematics, WorldScientific, ISBN: 9781786349385, 2021

2020

Simultaneous left atrium anatomy and scar segmentations via deep learning in multiview information with attention.

Guang Yang, Jun Chen, Zhifan Gao, Shuo Li, Hao Ni, Elsa D. Angelini, Tom Wong, Raad Mohiaddin, Eva Nyktari, Ricardo Wage, Lei Xu, Yanping Zhang, Xiuquan Du, Heye Zhang, David N. Firmin, Jennifer Keegan

Future Gener. Comput. Syst., 2020

Conditional Sig-Wasserstein GANs for Time Series Generation.

Hao Ni, Lukasz Szpruch, Magnus Wiese, Shujian Liao, Baoren Xiao

CoRR, 2020

Infant Cognitive Scores Prediction with Multi-stream Attention-Based Temporal Path Signature Features.

Xin Zhang, Jiale Cheng, Hao Ni, Chenyang Li, Xiangmin Xu, Zhengwang Wu, Li Wang, Weili Lin, Dinggang Shen, Gang Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Siamese Verification Framework for Autism Identification During Infancy Using Cortical Path Signature Features.

Xin Zhang, Xinyao Ding, Zhengwang Wu, Jing Xia, Hao Ni, Xiangmin Xu, Lufan Liao, Li Wang, Gang Li

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Signature features with the visibility transformation.

Yue Wu, Hao Ni, Terrence J. Lyons, Robin L. Hudson

Proceedings of the 25th International Conference on Pattern Recognition, 2020

An efficient representation of chronological events in medical texts.

Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Hao Ni, Goran Nenadic, Alejo J. Nevado-Holgado

Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis, 2020

2019

Learning stochastic differential equations using RNN with log signature features.

Shujian Liao, Terry J. Lyons, Weixin Yang, Hao Ni

CoRR, 2019

A Path Signature Approach for Speech Emotion Recognition.

Bo Wang, Maria Liakata, Hao Ni, Terry J. Lyons, Alejo J. Nevado-Holgado, Kate Saunders

Proceedings of the Interspeech 2019, 2019

2018

Learning Spatial-Semantic Context with Fully Convolutional Recurrent Network for Online Handwritten Chinese Text Recognition.

Zecheng Xie, Zenghui Sun, Lianwen Jin, Hao Ni, Terry J. Lyons

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation.

Jun Chen, Guang Yang, Zhifan Gao, Hao Ni, Elsa D. Angelini, Raad Mohiaddin, Tom Wong, Yanping Zhang, Xiuquan Du, Heye Zhang, Jennifer Keegan, David N. Firmin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

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 Images.

Guang Yang, Jun Chen, Zhifan Gao, Heye Zhang, Hao Ni, Elsa D. Angelini, Raad Mohiaddin, Tom Wong, Jennifer Keegan, David N. Firmin

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

A Path Signature Approach to Online Arabic Handwriting Recognition.

Daniel Wilson-Nunn, Terry J. Lyons, Anastasia Papavasiliou, Hao Ni

Proceedings of the IEEE 2nd International Workshop on Arabic and Derived Script Analysis and Recognition, 2018

2017

Leveraging the Path Signature for Skeleton-based Human Action Recognition.

Weixin Yang, Terry J. Lyons, Hao Ni, Cordelia Schmid, Lianwen Jin, Jiawei Chang

CoRR, 2017

2016

Rotation-free online handwritten character recognition using dyadic path signature features, hanging normalization, and deep neural network.

Weixin Yang, Lianwen Jin, Hao Ni, Terry J. Lyons

Proceedings of the 23rd International Conference on Pattern Recognition, 2016