Hao Ni

48 papers A* 1A 2B 2Journal 27Unranked 13
YearRankTypeTitle / Venue / Authors
2026 — ed.
Artificial Intelligence in Healthcare - Second International Conference, AIiH 2025, Cambridge, UK, September 8-10, 2025, Proceedings, Part I
AIiH (1)
Daniele Cafolla, Timothy Rittman, Hao Ni
2026 — ed.
Artificial Intelligence in Healthcare - Second International Conference, AIiH 2025, Cambridge, UK, September 8-10, 2025, Proceedings, Part II
AIiH (2)
Daniele Cafolla, Timothy Rittman, Hao Ni
2025 — conf
DevInSight: Weaving Path Development Into Online Signature Verification.
ICDAR (5)
Yilin Shi, Lei Jiang, Hao Ni, Lianwen Jin
2025 J jnl
Generative Modeling of Lévy Area for High Order SDE Simulation.
SIAM J. Math. Data Sci.
Andraz Jelincic, Jiajie Tao, William F. Turner, Thomas Cass, James M. Foster, Hao Ni
2025 A* conf
MCGAN: Enhancing GAN Training with Regression-Based Generator Loss.
AAAI
Baoren Xiao, Hao Ni, Weixin Yang
2025 J jnl
Structured Agentic Workflows for Financial Time-Series Modeling with LLMs and Reflective Feedback.
CoRR
Yihao Ang, Yifan Bao, Lei Jiang, Jiajie Tao, Anthony K. H. Tung, Lukasz Szpruch, Hao Ni
2025 — conf
Structured Agentic Workflows for Financial Time-Series Modelling with LLMs and Reflective Feedback.
ICAIF
Yihao Ang, Yifan Bao, Lei Jiang, Jiajie Tao, Anthony K. H. Tung, Lukasz Szpruch, Hao Ni
2024 — conf
Adaptive Global Gesture Paths and Signature Features for Skeleton-based Gesture Recognition.
ICPR (15)
Dongzi Shi, Xin Zhang, Jiale Cheng, Tong Xiong, Hao Ni
2024 J jnl
GCN-DevLSTM: Path Development for Skeleton-Based Action Recognition.
CoRR
Lei Jiang, Weixin Yang, Xin Zhang, Hao Ni
2024 J jnl
MCGAN: Enhancing GAN Training with Regression-Based Generator Loss.
CoRR
Baoren Xiao, Hao Ni, Weixin Yang
2024 J jnl
NODE-ImgNet: A PDE-informed effective and robust model for image denoising.
Pattern Recognit.
Xinheng Xie, Yue Wu, Hao Ni, Cuiyu He
2024 J jnl
Skeleton-Based Gesture Recognition With Learnable Paths and Signature Features.
IEEE Trans. Multim.
Jiale Cheng, Dongzi Shi, Chenyang Li, Yu Li, Hao Ni, Lianwen Jin, Xin Zhang
2024 J jnl
Using joint angles based on the international biomechanical standards for human action recognition and related tasks.
CoRR
Kevin Schlegel, Lei Jiang, Hao Ni
2023 J jnl
A Neural RDE-based model for solving path-dependent PDEs.
CoRR
Bowen Fang, Hao Ni, Yue Wu
2023 — conf
EnsExam: A Dataset for Handwritten Text Erasure on Examination Papers.
ICDAR (3)
Liufeng Huang, Bangdong Chen, Chongyu Liu, Dezhi Peng, Weiying Zhou, Yaqiang Wu, Hui Li, Hao Ni, Lianwen Jin
2023 J jnl
Generative Modelling of Lévy Area for High Order SDE Simulation.
CoRR
Andraz Jelincic, Jiajie Tao, William F. Turner, Thomas Cass, James M. Foster, Hao Ni
2023 J jnl
NODE-ImgNet: a PDE-informed effective and robust model for image denoising.
CoRR
Xinheng Xie, Yue Wu, Hao Ni, Cuiyu He
2023 — conf
SegCTC: Offline Handwritten Chinese Text Recognition via Better Fusion Between Explicit and Implicit Segmentation.
ICDAR (4)
Jiarong Huang, Dezhi Peng, Hongliang Li, Hao Ni, Lianwen Jin
2022 J jnl
Path Signature Neural Network of Cortical Features for Prediction of Infant Cognitive Scores.
IEEE Trans. Medical Imaging
Jiale Cheng, Xin Zhang, Hao Ni, Chenyang Li, Xiangmin Xu, Zhengwang Wu, Li Wang, Weili Lin, Gang Li
2022 J jnl
Towards fast weak adversarial training to solve high dimensional parabolic partial differential equations using XNODE-WAN.
J. Comput. Phys.
Paul Valsecchi Oliva, Yue Wu, Cuiyu He, Hao Ni
2021 J jnl
Forex Trading Volatility Prediction using Neural Network Models.
CoRR
Shujian Liao, Jian Chen, Hao Ni
2021 — book
Introduction to Machine Learning and Quantitative Finance
Hao Ni, Xin Dong, Jinsong Zheng, Guangxi Yu
2021 — conf
Learning Infant Brain Developmental Connectivity for Cognitive Score Prediction.
MLMI@MICCAI
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
2021 A conf
Logsig-RNN: a novel network for robust and efficient skeleton-based action recognition.
BMVC
Hao Ni, Shujian Liao, Weixin Yang, Kevin Schlegel, Terry J. Lyons
2021 J jnl
Logsig-RNN: a novel network for robust and efficient skeleton-based action recognition.
CoRR
Shujian Liao, Terry J. Lyons, Weixin Yang, Kevin Schlegel, Hao Ni
2021 J jnl
Sig-Wasserstein GANs for Time Series Generation.
CoRR
Hao Ni, Lukasz Szpruch, Marc Sabate Vidales, Baoren Xiao, Magnus Wiese, Shujian Liao
2021 — conf
Sig-wasserstein GANs for time series generation.
ICAIF
Hao Ni, Lukasz Szpruch, Marc Sabate Vidales, Baoren Xiao, Magnus Wiese, Shujian Liao
2021 J jnl
Towards fast weak adversarial training to solve high dimensional parabolic partial differential equations using XNODE-WAN.
CoRR
Paul Valsecchi Oliva, Yue Wu, Cuiyu He, Hao Ni
2021 J jnl
ɛ-Strong Simulation of Fractional Brownian Motion and Related Stochastic Differential Equations.
Math. Oper. Res.
Yi Chen, Jing Dong, Hao Ni
2020 — conf
An efficient representation of chronological events in medical texts.
LOUHI@EMNLP
Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Hao Ni, Goran Nenadic, Alejo J. Nevado-Holgado
2020 J jnl
An efficient representation of chronological events in medical texts.
CoRR
Andrey Kormilitzin, Nemanja Vaci, Qiang Liu, Hao Ni, Goran Nenadic, Alejo J. Nevado-Holgado
2020 J jnl
Conditional Sig-Wasserstein GANs for Time Series Generation.
CoRR
Hao Ni, Lukasz Szpruch, Magnus Wiese, Shujian Liao, Baoren Xiao
2020 — conf
Infant Cognitive Scores Prediction with Multi-stream Attention-Based Temporal Path Signature Features.
MICCAI (7)
Xin Zhang, Jiale Cheng, Hao Ni, Chenyang Li, Xiangmin Xu, Zhengwang Wu, Li Wang, Weili Lin, Dinggang Shen, Gang Li
2020 — conf
Siamese Verification Framework for Autism Identification During Infancy Using Cortical Path Signature Features.
ISBI
Xin Zhang, Xinyao Ding, Zhengwang Wu, Jing Xia, Hao Ni, Xiangmin Xu, Lufan Liao, Li Wang, Gang Li
2020 B conf
Signature features with the visibility transformation.
ICPR
Yue Wu, Hao Ni, Terrence J. Lyons, Robin L. Hudson
2020 J jnl
Signature features with the visibility transformation.
CoRR
Yue Wu, Hao Ni, Terrence J. Lyons, Robin L. Hudson
2020 J jnl
Simultaneous Left Atrium Anatomy and Scar Segmentations via Deep Learning in Multiview Information with Attention.
CoRR
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
2020 J jnl
Simultaneous left atrium anatomy and scar segmentations via deep learning in multiview information with attention.
Future Gener. Comput. Syst.
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
2019 A conf
A Path Signature Approach for Speech Emotion Recognition.
INTERSPEECH
Bo Wang, Maria Liakata, Hao Ni, Terry J. Lyons, Alejo J. Nevado-Holgado, Kate Saunders
2019 J jnl
Learning stochastic differential equations using RNN with log signature features.
CoRR
Shujian Liao, Terry J. Lyons, Weixin Yang, Hao Ni
2018 — conf
A Path Signature Approach to Online Arabic Handwriting Recognition.
ASAR
Daniel G. Wilson-Nunn, Terry J. Lyons, Anastasia Papavasiliou, Hao Ni
2018 J jnl
Learning Spatial-Semantic Context with Fully Convolutional Recurrent Network for Online Handwritten Chinese Text Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Zecheng Xie, Zenghui Sun, Lianwen Jin, Hao Ni, Terry J. Lyons
2018 — conf
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.
EMBC
Guang Yang, Jun Chen, Zhifan Gao, Heye Zhang, Hao Ni, Elsa D. Angelini, Raad Mohiaddin, Tom Wong, Jennifer Keegan, David N. Firmin
2018 — conf
Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation.
MICCAI (2)
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
2018 J jnl
Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation.
CoRR
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
2017 J jnl
Leveraging the Path Signature for Skeleton-based Human Action Recognition.
CoRR
Weixin Yang, Terry J. Lyons, Hao Ni, Cordelia Schmid, Lianwen Jin, Jiawei Chang
2016 J jnl
Learning Spatial-Semantic Context with Fully Convolutional Recurrent Network for Online Handwritten Chinese Text Recognition.
CoRR
Zecheng Xie, Zenghui Sun, Lianwen Jin, Hao Ni, Terry J. Lyons
2016 B conf
Rotation-free online handwritten character recognition using dyadic path signature features, hanging normalization, and deep neural network.
ICPR
Weixin Yang, Lianwen Jin, Hao Ni, Terry J. Lyons