Publication

Suraj Kumar, Soumi Chattopadhyay, and Chandranath Adak. Anomaly Resilient Temporal QoS Prediction using Hypergraph Convoluted Transformer Network arXiv preprint (2024) paper link

Suraj Kumar, Soumi Chattopadhyay. ARRQP: Anomaly Resilient Real-time QoS Prediction Framework with Graph Convolution. In IEEE Transactions on Services Computing, April 2025 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, vol. 21, no. 4, pp. 3945-3955, Aug. 2024, doi: 10.1109/TNSM.2024.3395428 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 ), 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), 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." 30th British Machine Vision Conference (BMVC), Sept 9-12, 2019, Cardiff, United Kingdom, p. 274 [* Joint First Author]  paper link