Hao Ni

Hao Ni

University College London

H-index: 17

Europe-United Kingdom

About Hao Ni

Hao Ni, With an exceptional h-index of 17 and a recent h-index of 15 (since 2020), a distinguished researcher at University College London, specializes in the field of Data analysis, Machine Learning, Stochastic Analysis, Rough Paths Theory.

His recent articles reflect a diverse array of research interests and contributions to the field:

On the determination of path signature from its unitary development

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

A PDE approach for solving the characteristic function of the generalised signature process

Subtle variation in sepsis-III definitions markedly influences predictive performance within and across methods

Scene Table Structure Recognition with Segmentation and Key Point Collaboration

Small mass limit of expected signature for physical Brownian motion

Skeleton-Based Gesture Recognition With Learnable Paths and Signature Features

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

Hao Ni Information

University

Position

Senior Lecturer in Financial Mathematics

Citations(all)

1019

Citations(since 2020)

919

Cited By

382

hIndex(all)

17

hIndex(since 2020)

15

i10Index(all)

19

i10Index(since 2020)

19

Email

University Profile Page

University College London

Google Scholar

View Google Scholar Profile

Hao Ni Skills & Research Interests

Data analysis

Machine Learning

Stochastic Analysis

Rough Paths Theory

Top articles of Hao Ni

Title

Journal

Author(s)

Publication Date

On the determination of path signature from its unitary development

arXiv preprint arXiv:2404.18661

Siran Li

Zijiu Lyu

Hao Ni

Jiajie Tao

2024/4/29

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

arXiv preprint arXiv:2403.15212

Lei Jiang

Weixin Yang

Xin Zhang

Hao Ni

2024/3/22

A PDE approach for solving the characteristic function of the generalised signature process

arXiv preprint arXiv:2401.02393

Terry Lyons

Hao Ni

Jiajie Tao

2024/1/4

Subtle variation in sepsis-III definitions markedly influences predictive performance within and across methods

Scientific Reports

Samuel N Cohen

James Foster

Peter Foster

Hang Lou

Terry Lyons

...

2024/1/22

Scene Table Structure Recognition with Segmentation and Key Point Collaboration

Zhuoming Li

Fan Peng

Yang Xue

Ni Hao

Lianwen Jin

2023/8/19

Small mass limit of expected signature for physical Brownian motion

arXiv preprint arXiv:2305.00343

Siran Li

Hao Ni

Qianyu Zhu

2023/4/29

Skeleton-Based Gesture Recognition With Learnable Paths and Signature Features

IEEE Transactions on Multimedia

Jiale Cheng

Dongzi Shi

Chenyang Li

Yu Li

Hao Ni

...

2023/9/22

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

Jiarong Huang

Dezhi Peng

Hongliang Li

Hao Ni

Lianwen Jin

2023/8/19

Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations

Proceedings of the AAAI Conference on Artificial Intelligence

Shiqi Gong

Peiyan Hu

Qi Meng

Yue Wang

Rongchan Zhu

...

2023/6/26

Protein-Ligand Binding Affinity Prediction Exploiting Sequence Constituent Homology

Bioinformatics

Abbi Abdel-Rehim

Oghenejokpeme Orhobor

Lou Hang

Hao Ni

Ross D King

2023/8/12

EnsExam: A Dataset for Handwritten Text Erasure on Examination Paper

Liufeng Huang

Bangdong Chen

Chongyu Liu

Dezhi Peng

Weiying Zhou

...

2023/8/19

Beating the Best: Improving on AlphaFold2 at Protein Structure Prediction

arXiv preprint arXiv:2301.07568

Abbi Abdel-Rehim

Oghenejokpeme Orhobor

Hang Lou

Hao Ni

Ross D King

2023/1/18

Generative Modelling of L\'{e} vy Area for High Order SDE Simulation

arXiv preprint arXiv:2308.02452

Andraž Jelinčič

Jiajie Tao

William F Turner

Thomas Cass

James Foster

...

2023/8/4

A High‐Resolution Prediction Network for Predicting Intratumoral Distribution of Nanoprobes by Tumor Vascular and Nuclear Feature

Advanced Intelligent Systems

Jiaqi Xu

Yafei Luo

Chuanbing Wang

Haiyan Chen

Yuxia Tang

...

2023/11/30

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

arXiv preprint arXiv:2306.01123

Bowen Fang

Hao Ni

Yue Wu

2023/6/1

Sig‐Wasserstein GANs for conditional time series generation

Mathematical Finance

Shujian Liao

Hao Ni

Marc Sabate‐Vidales

Lukasz Szpruch

Magnus Wiese

...

2024/4

PCF-GAN: generating sequential data via the characteristic function of measures on the path space

Hang Lou

Siran Li

Hao Ni

2023/5/21

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

Pattern Recognition

Xinheng Xie

Yue Wu

Hao Ni

Cuiyu He

2024/4/1

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

IEEE transactions on medical imaging

Jiale Cheng

Xin Zhang

Hao Ni

Chenyang Li

Xiangmin Xu

...

2022/1/28

Expected signature of stopped Brownian motion on -dimensional -domains has finite radius of convergence everywhere:

Journal of Functional Analysis

Siran Li

Hao Ni

2022

See List of Professors in Hao Ni University(University College London)

Co-Authors

H-index: 61
Lianwen Jin

Lianwen Jin

South China University of Technology

H-index: 46
Guang Yang, IEEE Senior Member

Guang Yang, IEEE Senior Member

Imperial College London

H-index: 16
Jing Dong

Jing Dong

Columbia University in the City of New York

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