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

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

Skeleton-Based Gesture Recognition With Learnable Paths and Signature Features

Protein-Ligand Binding Affinity Prediction Exploiting Sequence Constituent Homology

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

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

Google Scholar

Hao Ni Skills & Research Interests

Data analysis

Machine Learning

Stochastic Analysis

Rough Paths Theory

Top articles of Hao Ni

On the determination of path signature from its unitary development

arXiv preprint arXiv:2404.18661

2024/4/29

Hao Ni
Hao Ni

H-Index: 11

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

arXiv preprint arXiv:2403.15212

2024/3/22

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

arXiv preprint arXiv:2401.02393

2024/1/4

Terry Lyons
Terry Lyons

H-Index: 12

Hao Ni
Hao Ni

H-Index: 11

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

Scientific Reports

2024/1/22

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

Pattern Recognition

2024/4/1

Skeleton-Based Gesture Recognition With Learnable Paths and Signature Features

IEEE Transactions on Multimedia

2023/9/22

Protein-Ligand Binding Affinity Prediction Exploiting Sequence Constituent Homology

Bioinformatics

2023/8/12

Hao Ni
Hao Ni

H-Index: 11

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

arXiv preprint arXiv:2308.02452

2023/8/4

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

arXiv preprint arXiv:2306.01123

2023/6/1

Hao Ni
Hao Ni

H-Index: 11

Yue Wu
Yue Wu

H-Index: 4

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

2023/5/21

Hao Ni
Hao Ni

H-Index: 11

Small mass limit of expected signature for physical Brownian motion

arXiv preprint arXiv:2305.00343

2023/4/29

Hao Ni
Hao Ni

H-Index: 11

Qianyu Zhu
Qianyu Zhu

H-Index: 1

Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

Beating the Best: Improving on AlphaFold2 at Protein Structure Prediction

arXiv preprint arXiv:2301.07568

2023/1/18

Hao Ni
Hao Ni

H-Index: 11

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

Advanced Intelligent Systems

2023/11/30

Sig‐Wasserstein GANs for conditional time series generation

Mathematical Finance

2024/4

Scene Table Structure Recognition with Segmentation and Key Point Collaboration

2023/8/19

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

2023/8/19

EnsExam: A Dataset for Handwritten Text Erasure on Examination Paper

2023/8/19

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

Journal of Computational Physics

2022/8/15

Path Development Network with Finite-dimensional Lie Group Representation

arXiv preprint arXiv:2204.00740

2022/4/2

Hao Ni
Hao Ni

H-Index: 11

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

Co-Authors

academic-engine