| 2025 | DATA | An Extreme Gradient Boosting (XGBoost) Trees Approach to Detect and Identify Unlawful Insider Trading (UIT) Transactions. | Krishna Prasad Neupane, Igor Griva |
| 2025 | ICLR | Looking into User's Long-term Interests through the Lens of Conservative Evidential Learning. | Dingrong Wang, Krishna Prasad Neupane, Ervine Zheng, Qi Yu |
| 2024 | FIE | Experiential and Expression-based Accessibility Awareness Interventions to Improve Computing Education. | Yang Liu, Domenic Mangano, Krishna Prasad Neupane, Samuel A. Malachowsky, Daniel E. Krutz |
| 2024 | ICML | Meta Evidential Transformer for Few-Shot Open-Set Recognition. | Hitesh Sapkota, Krishna Prasad Neupane, Qi Yu |
| 2024 | ICSE | Using Accessibility Awareness Interventions to Improve Computing Education. | Yang Liu, Domenic Mangano, Krishna Prasad Neupane, Samuel A. Malachowsky, Daniel E. Krutz |
| 2023 | ICML | Deep Temporal Sets with Evidential Reinforced Attentions for Unique Behavioral Pattern Discovery. | Dingrong Wang, Deep Shankar Pandey, Krishna Prasad Neupane, Zhiwei Yu, Ervine Zheng, Zhi Zheng, Qi Yu |
| 2022 | AAAI | A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations. | Krishna Prasad Neupane, Ervine Zheng, Yu Kong, Qi Yu |
| 2021 | ICDM | MetaEDL: Meta Evidential Learning For Uncertainty-Aware Cold-Start Recommendations. | Krishna Prasad Neupane, Ervine Zheng, Qi Yu |
| 2020 | CLUSTER | CuVPP: Filter-based Longest Prefix Matching in Software Data Planes. | Minseok Kwon, Krishna Prasad Neupane, John Marshall, M. Mustafa Rafique |