Suraj Kumar

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
Communication Lower Bounds and Algorithms for Sketching with Random Dense Matrices.
CoRR, March, 2026

Anomaly-Resilient Temporal QoS Prediction Using Hypergraph Convoluted Transformer Network.
IEEE Trans. Netw. Serv. Manag., 2026

2025
Blurb-Refined Inference from Crowdsourced Book Reviews using Hierarchical Genre Mining with Dual-Path Graph Convolutions.
CoRR, December, 2025

Agentic Multi-Persona Framework for Evidence-Aware Fake News Detection.
CoRR, December, 2025

SHARP-QoS: Sparsely-gated Hierarchical Adaptive Routing for joint Prediction of QoS.
CoRR, December, 2025

Analysis of Optimal Thrust to Mass Ratio Requirement for Maximizing Payload Mass of Lunar Landing Mission.
CoRR, December, 2025

Closed-Loop Control Law for Low Thrust Orbit Transfer with Guaranteed Stability.
CoRR, November, 2025

Learning based Modelling of Throttleable Engine Dynamics for Lunar Landing Mission.
CoRR, November, 2025

Powered Descent Trajectory Optimization of Chandrayaan-3 using Radau Collocation and Controllable Sets.
CoRR, November, 2025

Descriptive Model-based Learning and Control for Bipedal Locomotion.
CoRR, November, 2025

Solving Infinite-Horizon Optimal Control Problems using the Extreme Theory of Functional Connections.
CoRR, October, 2025

ProtoSiTex: Learning Semi-Interpretable Prototypes for Multi-label Text Classification.
CoRR, October, 2025

Communication Lower Bounds and Optimal Algorithms for Symmetric Matrix Computations.
ACM Trans. Parallel Comput., June, 2025

Minimizing Communication for Parallel Symmetric Tensor Times Same Vector Computation.
CoRR, June, 2025

An Adaptive Data-Resilient Multi-Modal Framework for Hierarchical Multi-Label Book Genre Identification.
CoRR, May, 2025

Enhanced A<sup>*</sup> Algorithm for Mobile Robot Path Planning with Non-Holonomic Constraints.
CoRR, March, 2025

ARRQP: Anomaly Resilient Real-Time QoS Prediction Framework With Graph Convolution.
IEEE Trans. Serv. Comput., 2025

Brief Announcement: Minimizing Communication for Parallel Symmetric Tensor Times Same Vector Computation.
Proceedings of the 37th ACM Symposium on Parallelism in Algorithms and Architectures, 2025

Graph Convolutional Teacher-Student Framework for Writer Inspection from Intra-variable Handwritten Words.
Proceedings of the Document Analysis and Recognition - ICDAR 2025, 2025

Improving Multi-hop Logical Reasoning in Small LMs with LoRA Training.
Proceedings of the 38th International Florida Artificial Intelligence Research Society Conference, 2025

Curiosity Exploration Styles in Word Association Tasks.
Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

Existing Models May Not be Able to Explain Letter-Position Encoding in Hindi: Evidence from a Priming Study.
Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

2024
TPMCF: Temporal QoS Prediction Using Multi-Source Collaborative Features.
IEEE Trans. Netw. Serv. Manag., August, 2024

Communication Lower Bounds and Optimal Algorithms for Multiple Tensor-Times-Matrix Computation.
SIAM J. Matrix Anal. Appl., March, 2024

Discrete time model predictive control for humanoid walking with step adjustment.
CoRR, 2024

Multi-Volumetric Feature-Based Brain Age Prediction Using sMRI and Graph Neural Networks.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Neural Network based Predictive Model for Bevel-Tip Needle Deflection in Percutaneous Interventions.
Proceedings of the 28th International Conference on System Theory, Control and Computing, 2024

Is There Flexibility in Letter-Position Encoding in Hindi? Evidence from Masked Form Priming Study.
Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

Cellular Automata Based Multiple Stream Parallel Random Number Generator for 64-Bit Computing.
Proceedings of the Cellular Automata Technology - Third Asian Symposium, 2024

2023
Fake News Detection Using Hybrid Deep Learning Method.
SN Comput. Sci., November, 2023

Parallel Memory-Independent Communication Bounds for SYRK.
Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and Architectures, 2023

Fast Anomaly Detection For Multivariate Industrial Time Series Data.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Aqua Clear: Efficient Water Management for home water supply.
Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing, 2023

AI-Based Model for Detection and Classification of Alzheimer Disease.
Proceedings of the IEEE International Conference on Computer Vision and Machine Intelligence, 2023

2022
Tight Memory-Independent Parallel Matrix Multiplication Communication Lower Bounds.
CoRR, 2022

OffDQ: An Offline Deep Learning Framework for QoS Prediction.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Brief Announcement: Tight Memory-Independent Parallel Matrix Multiplication Communication Lower Bounds.
Proceedings of the SPAA '22: 34th ACM Symposium on Parallelism in Algorithms and Architectures, Philadelphia, PA, USA, July 11, 2022

Algorithm identification in programming assignments.
Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

TRQP: Trust-Aware Real-Time QoS Prediction Framework Using Graph-Based Learning.
Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

Precise Parallel FEM-based Interactive Cutting Simulation of Deformable Bodies.
Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

2021
Kalman filter based short term prediction model for COVID-19 spread.
Appl. Intell., 2021

Do You Feel Me? Exploring Reception of Advertising Emotions by Consumers.
Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021

2020
Analysis of a List Scheduling Algorithm for Task Graphs on Two Types of Resources.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

En-VStegNET: Video Steganography using spatio-temporal feature enhancement with 3D-CNN and Hourglass.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Performance Models for Data Transfers: A Case Study with Molecular Chemistry Kernels.
Proceedings of the 48th International Conference on Parallel Processing, 2019

VStegNET: Video Steganography Network using Spatio-Temporal features and Micro-Bottleneck.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Fast approximation algorithms for task-based runtime systems.
Concurr. Comput. Pract. Exp., 2018

2017
Scheduling of Dense Linear Algebra Kernels on Heterogeneous Resources. (Ordonnancement de noyaux d'algèbre linéaire dense sur ressources hétérogènes).
PhD thesis, 2017

Approximation Proofs of a Fast and Efficient List Scheduling Algorithm for Task-Based Runtime Systems on Multicores and GPUs.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

2016
Are Static Schedules so Bad? A Case Study on Cholesky Factorization.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

Scheduling of Linear Algebra Kernels on Multiple Heterogeneous Resources.
Proceedings of the 23rd IEEE International Conference on High Performance Computing, 2016

2015
Bridging the Gap between Performance and Bounds of Cholesky Factorization on Heterogeneous Platforms.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

2014
Two-layer modular analysis of gene and protein networks in breast cancer.
BMC Syst. Biol., 2014

2008
DHCP Options for Protocol for Carrying Authentication for Network Access (PANA) Authentication Agents.
RFC, May, 2008


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