| 2026 | ACL | From Recall to Forgetting: Benchmarking Long-Term Memory for Personalized Agents. | Md Nayem Uddin, Kumar Shubham, Eduardo Blanco, Chitta Baral, Gengyu Wang |
| 2024 | AAAI | Fusing Conditional Submodular GAN and Programmatic Weak Supervision. | Kumar Shubham, Pranav Sastry, Prathosh AP |
| 2024 | ICML | WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer. | Kumar Shubham, Aishwarya Jayagopal, Syed Mohammed Danish, Prathosh A. P., Vaibhav Rajan |
| 2024 | UAI | Bayesian Pseudo-Coresets via Contrastive Divergence. | Piyush Tiwary, Kumar Shubham, Vivek Kashyap, Prathosh A. P. |
| 2022 | ICMI | Review of realistic behavior and appearance generation in embodied conversational agents: A comparison between traditional and modern approaches. | Kumar Shubham, Anirban Mukherjee, Dinesh Babu Jayagopi |
| 2022 | ICMI | Understanding Interviewees' Perceptions and Behaviour towards Verbally and Non-verbally Expressive Virtual Interviewing Agents. | Jinal Hitesh Thakkar, Pooja Rao S. B., Kumar Shubham, Vaibhav Jain, Dinesh Babu Jayagopi |
| 2021 | ICMI | An Opportunity to Investigate the Role of Specific Nonverbal Cues and First Impression in Interviews using Deepfake Based Controlled Video Generation. | Rahil Satyanarayan Vijay, Kumar Shubham, Laetitia Aurelie Renier, Emmanuelle Patricia Kleinlogel, Marianne Schmid Mast, Dinesh Babu Jayagopi |
| 2021 | IJCNN | Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-trained GAN for Semantic Age Manipulation. | Kumar Shubham, Gopalakrishnan Venkatesh, Reijul Sachdev, Akshi, Dinesh Babu Jayagopi, G. Srinivasaraghavan |
| 2020 | ICMI | Conventional and Non-conventional Job Interviewing Methods: A Comparative Study in Two Countries. | Kumar Shubham, Emmanuelle Patricia Kleinlogel, Anas Butera, Marianne Schmid Mast, Dinesh Babu Jayagopi |