Suraj Kumar, Soumi Chattopadhyay, and Chandranath Adak. Anomaly-Resilient Temporal QoS Prediction Using Hypergraph Convoluted Transformer Network. In IEEE Transactions on Network and Service Management (IEEE TNSM'26), vol. 23, pp. 3556-3568, 2026, doi: 10.1109/TNSM.2026.3674650. paper link
Suraj Kumar, Soumi Chattopadhyay. ARRQP: Anomaly Resilient Real-Time QoS Prediction Framework With Graph Convolution. In IEEE Transactions on Services Computing (IEEE TSC'25), vol. 18, no. 3, pp. 1245-1261, May-June 2025, doi: 10.1109/TSC.2025.3565376. paper link
Suraj Kumar, Soumi Chattopadhyay, and Chandranath Adak. TPMCF: Temporal QoS Prediction Using Multi-Source Collaborative Features. In IEEE Transactions on Network and Service Management (IEEE TNSM'24), vol. 21, no. 4, pp. 3945-3955, Aug. 2024, doi: 10.1109/TNSM.2024.3395428 paper link
Priya, Kumari, Suraj Kumar, Aritra Dey, Chandranath Adak, Soumi Chattopadhyay, Sukalpa Chanda, and Simone Marinai. Graph Convolutional Teacher-Student Framework for Writer Inspection from Intra-variable Handwritten Words. In International Conference on Document Analysis and Recognition (ICDAR'25), pp. 115-129. Cham: Springer Nature Switzerland, 2025 paper link
Suraj Kumar, Soumi Chattopadhyay. TRQP: Trust-aware Real-time QoS Prediction Framework using Graph-based Learning. 20th International Conference on Service-Oriented Computing (ICSOC'22), Nov 29th – Dec 2nd, 2022. Sevilla, Spain paper link
Soumi Chattopadhyay, Richik Chanda, Suraj Kumar, and Chandranath Adak. OffDQ: An Offline Deep Learning Framework for QoS Prediction. In Proceedings of the ACM Web Conference 2022 (WWW'22), April 25–29, 2022, Virtual Event, Lyon, France. ACM, New York, USA, 10 Pages paper link
Aman Jaiswal, Suraj Kumar, and Aditya Nigam, 2020. En-VStegNET: Video Steganography using Spatio-temporal feature enhancement with 3D-CNN and Hourglass. International Joint Conference on Neural Networks (IJCNN'20), July 19-24, 2020, Glasgow, United Kingdom, pp. 1-8 paper link
Aayush Mishra*, Suraj Kumar*, Aditya Nigam, Saiful Islam. VStegNET: Video Steganography Network using Spatio-Temporal Features and Micro-Bottleneck. In 30th British Machine Vision Conference (BMVC'19), Sept 9-12, 2019, Cardiff, United Kingdom, p. 274 [* Joint First Author] paper link
Suraj Kumar, Arvind Kumar, and Soumi Chattopadhyay. SHARP-QoS: Sparsely-gated Hierarchical Adaptive Routing for joint Prediction of QoS. arXiv preprint (2025) paper link
Suraj Kumar, Utsav Kumar Nareti, Soumi Chattopadhyay, Chandranath Adak, and Prolay Mallick. Blurb-Refined Inference from Crowdsourced Book Reviews using Hierarchical Genre Mining with Dual-Path Graph Convolutions. arXiv preprint (2025) paper link
Utsav Kumar Nareti, Suraj Kumar, Soumya Pandey, Soumi Chattopadhyay, and Chandranath Adak. ProtoSiTex: Learning Semi-Interpretable Prototypes for Multi-label Text Classification. arXiv preprint arXiv:2510.12534 (2025) paper link
Rupa Bukke, Soumya Pandey, Suraj Kumar, Soumi Chattopadhyay, and Chandranath Adak. Agentic Multi-Persona Framework for Evidence-Aware Fake News Detection. arXiv preprint (2025) paper link
Utsav Kumar Nareti, Soumi Chattopadhyay, Prolay Mallick, Suraj Kumar, Ayush Vikas Daga, Chandranath Adak, Adarsh Wase, and Arjab Roy. An Adaptive Data-Resilient Multi-Modal Framework for Hierarchical Multi-Label Book Genre Identification. arXiv preprint arXiv:2505.03839 (2025) paper link