Dr
Vinod Kumar Chauhan
B.Sc., M.C.A., Ph.D.
Postdoctoral Researcher
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All publications by Dr Chauhan
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes
Chauhan VK,  Clifton L,  Nigam G,  Clifton DA,  et al. (2025)
Adversarial de-confounding in individualised treatment effects estimation
Kumar V,  Molaei S,  Hoque Tania M,  Thakur A,  Zhu T,  Clifton D,  et al. (2024)
A Brief Review of Hypernetworks in Deep Learning
Chauhan VK,  Zhou J,  Lu P,  Molaei S,  Clifton D,  et al. (2024)
Comparing the risks of new-onset gastric cancer or gastric diseases in type 2 diabetes mellitus patients exposed to SGLT2I, DPP4I or GLP1A: a population-based cohort study
Chou OHI,  Chauhan VK,  Chung CT,  Lu L,  Lee TTL,  Ng ZMW,  Wang KK,  Lee S,  Liu H,  Wong WT,  Pang RTK,  Kaewdech A,  Cheung BMY,  Tse G,  Zhou J,  et al. (2024)
1567P The effect of SGLT2i and DPP4i on new-onset gastric cancer and gastric diseases in type 2 diabetes mellitus: A population-based cohort study
Chou HI,  Chauhan VK,  Lu L,  Chung CT,  Lee TTL,  Lee S,  Liu H,  Pang TKR,  Kaewdech A,  Cheung B,  Tse G,  Zhou J,  et al. (2024)
CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation using Graph Neural Networks
Molaei S,  Bousejin NG,  Ghosheh GO,  Thakur A,  Chauhan VK,  Zhu T,  Clifton DA,  et al. (2024)
GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks
Singh S,  Sharma A,  Chauhan VK,  et al. (2024)
Continuous Patient State Attention Model for Addressing Irregularity in Electronic Health Records
Chauhan VK,  Thakur A,  O'Donoghue O,  Rohanian O,  Molaei S,  Clifton D,  et al. (2024)
Sample Selection Bias in Machine Learning for Healthcare
Chauhan VK,  Clifton L,  Salaun A,  Lu Y,  Branson K,  Schwab P,  Nigam G,  Clifton D,  et al. (2024)
Comparative effectiveness of sodium-glucose cotransporter-2 inhibitors for new-onset gastric cancer and gastric diseases in patients with type 2 diabetes mellitus: a population-based cohort study.
Chou OHI,  Chauhan VK,  Chung CTS,  Lu L,  Lee TTL,  Ng ZMW,  Wang KKW,  Lee S,  Liu H,  Pang RTK,  Kaewdech A,  Cheung BMY,  Tse G,  Zhou J,  et al. (2024)
Trolley optimisation for loading printed circuit board components
Chauhan VK,  Bass M,  Parlikad AK,  Brintrup A,  et al. (2024)
CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks.
Molaei S,  Bousejin NG,  Ghosheh GO,  Thakur A,  Chauhan VK,  Zhu T,  Clifton DA,  et al. (2024)
Exploitation of material consolidation trade-offs in multi-tier complex supply networks
Chauhan VK,  Alomari M,  Arney J,  Parlikad AK,  Brintrup A,  et al. (2023)
Network science approach for identifying disruptive elements of an airline
Chauhan VK,  Ledwoch A,  Brintrup A,  Herrera M,  Giannikas V,  Stojkovic G,  Mcfarlane D,  et al. (2023)
Synthesizing Mixed-type Electronic Health Records using Diffusion Models
Ceritli T,  Ghosheh GO,  Chauhan VK,  Zhu T,  Creagh AP,  Clifton DA,  et al. (2023)
Improving diagnostics with deep forest applied to electronic health records
Khodadadi A,  Ghanbari Bousejin N,  Molaei S,  Kumar Chauhan V,  Zhu T,  Clifton D,  et al. (2023)
Using bottleneck adapters to identify cancer in clinical notes under low-resource constraints
Rohanian M,  Jauncey H,  Nouriborji M,  Kumar VK,  Gonçalves B,  Kartsonaki C,  Merson L,  Clifton D,  et al. (2023)
Temporal dynamics unleashed: elevating variational graph attention
Molaei S,  Niknam G,  Ghosheh G,  Chauhan VK,  Zare H,  Zhu T,  Pan S,  Clifton D,  et al. (2023)
COPER: continuous patient state Perceiver
Chauhan VK,  Thakur A,  O'Donoghue O,  Clifton D,  et al. (2022)
Trolley optimisation: An extension of bin packing to load PCB components
Chauhan VK,  Bass M,  Parlikad AK,  Brintrup A,  et al. (2022)
A data-driven method to assess the causes and impact of delay propagation in air transportation systems
Giannikas V,  Ledwoch A,  Stojković G,  Costas P,  Brintrup A,  Al-Ali AAS,  Chauhan VK,  McFarlane D,  et al. (2022)
Real-time large-scale supplier order assignments across two-tiers of a supply chain with penalty and dual-sourcing
Chauhan VK,  Mak S,  Parlikad AK,  Alomari M,  Casassa L,  Brintrup A,  et al. (2022)
Continuous patient state attention models
Chauhan VK,  Rohanian O,  Thakur A,  O'Donoghue O,  Clifton DA,  et al. (2022)
HCR-Net: a deep learning based script independent handwritten character recognition network
Chauhan VK,  Singh S,  Sharma A,  et al. (2021)
LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms
Chauhan VK,  Sharma A,  Dahiya K,  et al. (2021)
Problem formulations and solvers in linear SVM: a review
Chauhan VK,  Dahiya K,  Sharma A,  et al. (2019)
Faster learning by reduction of data access time
Chauhan VK,  Sharma A,  Dahiya K,  et al. (2018)
SAAGs: Biased stochastic variance reduction methods for large-scale learning
Chauhan VK,  Sharma A,  Dahiya K,  et al. (2018)
Stochastic trust region inexact Newton method for large-scale machine learning
Chauhan VK,  Sharma A,  Dahiya K,  et al. (2018)
Online Support Vector Machine Based on Minimum Euclidean Distance
Dahiya K,  Kumar Chauhan V,  Sharma A,  et al. (2017)
Trust Region Levenberg-Marquardt Method for Linear SVM
Chauhan VK,  Dahiya K,  Sharma A,  et al. (2017)
Mini-batch Block-coordinate based Stochastic Average Adjusted Gradient Methods to Solve Big Data Problems
Chauhan VK,  Dahiya K,  Sharma A,  et al. (2017)
Trust Region Levenberg-Marquardt Method for Linear SVM Trust Region Levenberg-Marquardt Method for Linear SVM
Chauhan VK,  Dahiya K,  Sharma A,  et al. (2017)
How to reduce user story reopen count in scrum development?
Chauhan VK,  et al. (2015)
Dynamic inter-treatment information sharing for heterogeneous treatment effects estimation
Chauhan VK,  Zhou J,  Molaei S,  Ghosheh G,  Clifton DA,  et al. ()
Individualised Treatment Effects Estimation with Composite Treatments and Composite Outcomes
Chauhan VK,  Clifton L,  Nigam G,  Clifton D,  et al. ()