CuVPP: Filter-based Longest Prefix Matching in Software Data Planes. - Minseok Kwon; Krishna Prasad Neupane; John Marshall; M. Mustafa Rafique (CLUSTER, 2020)

MetaEDL: Meta Evidential Learning For Uncertainty-Aware Cold-Start Recommendations. - Krishna Prasad Neupane; Ervine Zheng; Qi Yu 001 (ICDM, 2021)

A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations. - Krishna Prasad Neupane; Ervine Zheng; Yu Kong 001; Qi Yu 001 (AAAI, 2022)

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 002; Qi Yu 001 (ICML, 2023)

Experiential and Expression-based Accessibility Awareness Interventions to Improve Computing Education. - Yang Liu; Domenic Mangano; Krishna Prasad Neupane; Samuel A. Malachowsky; Daniel E. Krutz (FIE, 2024)

Meta Evidential Transformer for Few-Shot Open-Set Recognition. - Hitesh Sapkota; Krishna Prasad Neupane; Qi Yu 001 (ICML, 2024)

Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation. - Krishna Prasad Neupane; Ervine Zheng; Qi Yu 001 (NeurIPS, 2024)

Looking into User's Long-term Interests through the Lens of Conservative Evidential Learning. - Dingrong Wang; Krishna Prasad Neupane; Ervine Zheng; Qi Yu 001 (ICLR, 2025)