2 citations · 2 across the 9 of their papers we have counts for
10 papers
Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding
Mohnish Raj, Suraj Kumar, Soumi Chattopadhayay +2
Multimodal intent recognition requires understanding not only what textual, acoustic, and visual signals share, but also how they disagree. Such disagreement is frequently class-in…
Adaptive Modality Reliability Diagnosis and Restoration for Robust Multimodal Intent Recognition
Suraj Kumar, Mohnish Raj, Soumi Chattopadhayay +2
Multimodal intent recognition combines linguistic, acoustic, and visual evidence, but individual modalities may be noisy, missing, semantically conflicting, or disproportionately d…
SHARP-QoS: Sparsely-gated Hierarchical Adaptive Routing for joint Prediction of QoS
Suraj Kumar, Arvind Kumar, Soumi Chattopadhyay
Dependable service-oriented computing relies on multiple Quality of Service (QoS) parameters that are essential to assess service optimality. However, real-world QoS data are extre…
Hierarchical Book Organization for Learning-Resource Discovery using Dual-Path Graph Convolutions
Suraj Kumar, Utsav Kumar Nareti, Soumi Chattopadhyay +2
The growing availability of books and textual materials in digital learning environments necessitates reliable semantic organization to support scalable resource management and dis…
Agentic Multi-Persona Framework for Evidence-Aware Fake News Detection
Roopa Bukke, Soumya Pandey, Suraj Kumar +2
The rapid proliferation of online misinformation threatens the stability of digital social systems and poses significant risks to public trust, policy, and safety, necessitating re…
ProtoSiTex: Learning Semi-Interpretable Prototypes for Multi-label Text Classification
Utsav Kumar Nareti, Suraj Kumar, Soumya Pandey +3
The rapid growth of user-generated text across digital platforms has intensified the need for interpretable models capable of fine-grained text classification and explanation. Exis…
Adaptive Data-Resilient Multi-Modal Hierarchical Multi-Label Book Genre Identification
Utsav Kumar Nareti, Soumi Chattopadhyay, Prolay Mallick +5
Identifying fine-grained book genres is essential for enhancing user experience through efficient discovery, personalized recommendations, and improved reader engagement. At the sa…
Anomaly Resilient Temporal QoS Prediction using Hypergraph Convoluted Transformer Network
Suraj Kumar, Soumi Chattopadhyay, Chandranath Adak
Quality-of-Service (QoS) prediction is a critical task in the service lifecycle, enabling precise and adaptive service recommendations by anticipating performance variations over t…
ARRQP: Anomaly Resilient Real-time QoS Prediction Framework with Graph Convolution
Suraj Kumar, Soumi Chattopadhyay
In the realm of modern service-oriented architecture, ensuring Quality of Service (QoS) is of paramount importance. The ability to predict QoS values in advance empowers users to m…
TPMCF: Temporal QoS Prediction using Multi-Source Collaborative Features
Suraj Kumar, Soumi Chattopadhyay, Chandranath Adak
Recently, with the rapid deployment of service APIs, personalized service recommendations have played a paramount role in the growth of the e-commerce industry. Quality-of-Service…