Expertini Research Research

Browse Research Papers

113+ open-access research outputs.

✕ Clear
🔍 aaron chadha 📂 Computer Science
Showing 113 results for "aaron chadha" in Computer Science
Computer Science Preprint PDF DOI

On the Hardness of Finding Temporally Connected Subgraphs of Any Size

Arnaud Casteigts, Christian Komusiewicz, Nils Morawietz · 2026

Temporal graphs are graphs whose edges are only present at certain points in time. Reachability in these graphs relies on temporal paths, where edges are traversed chronologically. A temporal graph th…

Read Paper →
Computer Science Preprint PDF DOI

Where Do Your Citations Come From? Citation-Constellation: A Free, Open-Source, No-Code, and Auditable Tool for Citation Network Decomposition with Complementary BARON and HEROCON Scores

Mahbub Ul Alam · 2026

Standard citation metrics treat all citations as equal, obscuring the social and structural pathways through which scholarly influence propagates. I introduce Citation-Constellation, a freely availabl…

Read Paper →
Computer Science Preprint PDF DOI

HADUA: Hierarchical Attention and Dynamic Uniform Alignment for Robust Cross-Subject Emotion Recognition

Jiahao Tang, Youjun Li, Yangxuan Zheng, Xiangting Fan, Siyuan Lu, Nuo Zhang, Zi-Gang Huang · 2026

Robust cross-subject emotion recognition from multimodal physiological signals remains a challenging problem, primarily due to modality heterogeneity and inter-subject distribution shift. To tackle th…

Read Paper →
Computer Science Preprint PDF DOI

Re-educating Educated Ones: A Case Study on Chakma Language Revitalization in Chittagong Hill Tracts

Avijoy Chakma, Adity Khisa, Soham Khisa, Jannatun Noor, Sharifa Sultana · 2026

Indigenous languages face significant cultural oppression from official state languages, particularly in the Global South. We investigate the Bangladeshi Chakma language revitalization movement, a com…

Read Paper →
Computer Science Preprint PDF DOI

RAPID-LLM: Resilience-Aware Performance analysis of Infrastructure for Distributed LLM Training and Inference

George Karfakis, Faraz Tahmasebi, Binglu Chen, Lime Yao, Saptarshi Mitra, Tianyue Pan, Hyoukjun Kwon, Puneet Gupta · 2025

RAPID-LLM is a unified performance modeling framework for large language model (LLM) training and inference on GPU clusters. It couples a DeepFlow-based frontend that generates hardware-aware, operato…

Read Paper →
Computer Science Preprint PDF DOI

State Complexity of Multiple Concatenation

Jozef Jirasek, Galina Jiraskova · 2025

We describe witness languages meeting the upper bound on the state complexity of the multiple concatenation of $k$ regular languages over an alphabet of size $k+1$ with a significantly simpler proof t…

Read Paper →
Computer Science Preprint PDF DOI

Fault-Tolerant Multiparty Session Types with Global Escape Loops

Lukas Bartl, Julian Linne, Kirstin Peters · 2025

Multiparty session types are designed to abstractly capture the structure of communication protocols and verify behavioural properties. One important such property is progress, i.e., the absence of de…

Read Paper →
Computer Science Preprint PDF DOI

Bhasha-Rupantarika: Algorithm-Hardware Co-design approach for Multilingual Neural Machine Translation

Mukul Lokhande, Tanushree Dewangan, Mohd Sharik Mansoori, Tejas Chaudhari, Akarsh J., Damayanti Lokhande, Adam Teman, Santosh Kumar Vishvakarma · 2025

This paper introduces Bhasha-Rupantarika, a light and efficient multilingual translation system tailored through algorithm-hardware codesign for resource-limited settings. The method investigates mode…

Read Paper →
Computer Science Preprint PDF DOI

Optimal 4-Approximation for the Correlated Pandora's Problem

Nikhil Bansal, Zhiyi Huang, Zixuan Zhu · 2025

The Correlated Pandora's Problem posed by Chawla et al. (2020) generalizes the classical Pandora's Problem by allowing the numbers inside the Pandora's boxes to be correlated. It also generalizes the …

Read Paper →
Computer Science Preprint PDF DOI

An Improved ChaCha Algorithm Based on Quantum Random Number

Chao Liu, Shuai Zhao, Chenhao Jia, Gengran Hu, Tingting Cui · 2025

Due to the merits of high efficiency and strong security against timing and side-channel attacks, ChaCha has been widely applied in real-time communication and data streaming scenarios. However, with …

Read Paper →
Computer Science Preprint PDF DOI

Unraveling the iterative CHAD

Fernando Lucatelli Nunes, Gordon Plotkin, Matthijs Vakar · 2025

Combinatory Homomorphic Automatic Differentiation (CHAD) was originally formulated as a semantics-driven source-to-source transformation for reverse-mode AD of total (terminating) functional programs.…

Read Paper →
Computer Science Preprint PDF DOI

CHAD-KG: A Knowledge Graph for Representing Cultural Heritage Objects and Digitisation Paradata

Sebastian Barzaghi, Arianna Moretti, Ivan Heibi, Silvio Peroni · 2025

This paper presents CHAD-KG, a knowledge graph designed to describe bibliographic metadata and digitisation paradata of cultural heritage objects in exhibitions, museums, and collections. It also docu…

Read Paper →
Computer Science Preprint PDF DOI

Static to Dynamic Correlation Clustering

Nairen Cao, Vincent Cohen-Addad, Euiwoong Lee, Shi Li, David Rasmussen Lolck, Alantha Newman, Mikkel Thorup, Lukas Vogl, Shuyi Yan, Hanwen Zhang · 2025

Correlation clustering is a well-studied problem, first proposed by Bansal, Blum, and Chawla [BBC04]. The input is an unweighted, undirected graph. The problem is to cluster the vertices so as to mini…

Read Paper →
Computer Science Preprint PDF DOI

Some remarks on the results derived by Ramy Takieldin and Patrick Sol\'e (2025)

Varsha Chauhan, Anuradha Sharma · 2025

The purpose of this note is to rectify a typographical error in the statements of Theorems 5.5 and 5.6 of Sharma, Chauhan and Singh[3] and further analyze and discuss the significance of the results d…

Read Paper →
Computer Science Preprint PDF DOI

Disproving some theorems in Sharma and Chauhan et al. (2018, 2021)

Ramy Takieldin, Patrick Sole · 2025

The main objective of this work is to show, through counterexamples, that some of the theorems presented in the papers of Sharma \textit{et al.} (2018) and Chauhan \textit{et al.} ( 2021) are incorrec…

Read Paper →
Computer Science Preprint PDF DOI

Decoding Complexity: Intelligent Pattern Exploration with CHPDA (Context Aware Hybrid Pattern Detection Algorithm)

Lokesh Koli, Shubham Kalra, Karanpreet Singh · 2025

Detecting sensitive data such as Personally Identifiable Information (PII) and Protected Health Information (PHI) is critical for data security platforms. This study evaluates regex-based pattern matc…

Read Paper →
Computer Science Preprint PDF DOI

Near-Optimal Trace Reconstruction for Mildly Separated Strings

Anders Aamand, Allen Liu, Shyam Narayanan · 2024

In the trace reconstruction problem our goal is to learn an unknown string $x\in \{0,1\}^n$ given independent traces of $x$. A trace is obtained by independently deleting each bit of $x$ with some pro…

Read Paper →
Computer Science Preprint PDF DOI

Collaborative Human-AI Risk Annotation: Co-Annotating Online Incivility with CHAIRA

Jinkyung Katie Park, Rahul Dev Ellezhuthil, Pamela Wisniewski, Vivek Singh · 2024

Collaborative human-AI annotation is a promising approach for various tasks with large-scale and complex data. Tools and methods to support effective human-AI collaboration for data annotation are an …

Read Paper →
Computer Science Preprint PDF DOI

Towards a Standardized Representation for Deep Learning Collective Algorithms

Jinsun Yoo, William Won, Meghan Cowan, Nan Jiang, Benjamin Klenk, Srinivas Sridharan, Tushar Krishna · 2024

The explosion of machine learning model size has led to its execution on distributed clusters at a very large scale. Many works have tried to optimize the process of producing collective algorithms an…

Read Paper →
Computer Science Preprint PDF DOI

A Case for Application-Aware Space Radiation Tolerance in Orbital Computing

Meiqi Wang, Han Qiu, Longnv Xu, Di Wang, Yuanjie Li, Tianwei Zhang, Jun Liu, Hewu Li · 2024

We are witnessing a surge in the use of commercial off-the-shelf (COTS) hardware for cost-effective in-orbit computing, such as deep neural network (DNN) based on-satellite sensor data processing, Ear…

Read Paper →
Page 1 of 6 Next →