activity
20232026
most citedRetinal Fundus Multi-Disease Image Classification using Hybrid CNN-Transformer-Ensemble Architectures

8 citations · 21 across the 11 of their papers we have counts for

collaborators

11 papers

cs.LG2026

PAGE: Partition-Aware Gated KV-Cache Eviction

Pankaj Kumar, Subhankar Mishra

KV-cache eviction can do more than compress. In long-context LLMs, keeping only some cached tokens sometimes matches or exceeds full-cache accuracy, because many redundant prefill…

cs.CL2026

Query-Side Attacks on GNN-Based KGQA: Tracing Failures from Entity Linking to Answer Generation

Pankaj Kumar, Subhankar Mishra

GNN-based Knowledge Graph Question Answering (KGQA) pipelines process queries through four discrete stages: entity linking, subgraph retrieval, GNN reasoning, and answer generation…

cs.AI2026

Attacking Graph Foundation Models Through Their Shared Representation

Pankaj Kumar, Subhankar Mishra

A graph foundation model generalizes across graph domains by mapping every input into one shared representation before any task reasoning. We call this map the alignment layer, the…

cs.CY2025

OpenProposal Platform for Transparent Research Funding Review

Sakshi Ahuja, Subhankar Mishra

Research funding allocation remains a critical bottleneck in scientific advancement, yet the review process for funding proposals lacks the transparency that has revolutionized aca…

quant-ph2025

QGShap: Quantum Acceleration for Faithful GNN Explanations

Haribandhu Jena, Jyotirmaya Shivottam, Subhankar Mishra

Graph Neural Networks (GNNs) have become indispensable in critical domains such as drug discovery, social network analysis, and recommendation systems, yet their black-box nature h…

cs.LG2025

QGraphLIME - Explaining Quantum Graph Neural Networks

Haribandhu Jena, Jyotirmaya Shivottam, Subhankar Mishra

Quantum graph neural networks offer a powerful paradigm for learning on graph-structured data, yet their explainability is complicated by measurement-induced stochasticity and the…

cs.CL2025★ 2 cited

Robustness in Large Language Models: A Survey of Mitigation Strategies and Evaluation Metrics

Pankaj Kumar, Subhankar Mishra

Large Language Models (LLMs) have emerged as a promising cornerstone for the development of natural language processing (NLP) and artificial intelligence (AI). However, ensuring th…

cs.CV2025★ 8 cited

Retinal Fundus Multi-Disease Image Classification using Hybrid CNN-Transformer-Ensemble Architectures

Deependra Singh, Saksham Agarwal, Subhankar Mishra

Our research is motivated by the urgent global issue of a large population affected by retinal diseases, which are evenly distributed but underserved by specialized medical experti…

cs.HC2024★ 3 cited

MIMA 2.0 -- Compact and Portable Multifunctional IoT integrated Menstrual Aid

Kumar J. Jyothish, Shreya Shivangi, Amish Bibhu +2

The shredding intrauterine lining or the endometrium is known as Menstruation. It occurs every month and causes several issues like Menstrual Cramps and aches in the abdominal regi…

cs.CR2024★ 8 cited

Advances in Differential Privacy and Differentially Private Machine Learning

Saswat Das, Subhankar Mishra

There has been an explosion of research on differential privacy (DP) and its various applications in recent years, ranging from novel variants and accounting techniques in differen…

cs.CY2023

Introspecting the Happiness amongst University Students using Machine Learning

Sakshi Ranjan, Pooja Priyadarshini, Subhankar Mishra

Happiness underlines the intuitive constructs of a specified population based on positive psychological outcomes. It is the cornerstone of the cognitive skills and exploring univer…