Why is Developing Machine Learning Applications Challenging? A Study on Stack Overflow Posts. - Moayad Alshangiti; Hitesh Sapkota; Pradeep K. Murukannaiah; Xumin Liu; Qi Yu 001 (ESEM, 2019)

Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning. - Hitesh Sapkota; Yiming Ying; Feng Chen 001; Qi Yu 001 (AISTATS, 2021)

Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval. - Dingrong Wang; Hitesh Sapkota; Xumin Liu; Qi Yu 001 (ICDM, 2021)

Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection. - Hitesh Sapkota; Qi Yu 001 (CVPR, 2022)

Balancing Bias and Variance for Active Weakly Supervised Learning. - Hitesh Sapkota; Qi Yu 001 (KDD, 2022)

Adaptive Robust Evidential Optimization For Open Set Detection from Imbalanced Data. - Hitesh Sapkota; Qi Yu 001 (ICLR, 2023)

Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training. - Hitesh Sapkota; Dingrong Wang; Zhiqiang Tao; Qi Yu 001 (NeurIPS, 2023)

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

Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness. - Dingrong Wang; Hitesh Sapkota; Zhiqiang Tao; Qi Yu 001 (KDD, 2024)

Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection. - Dingrong Wang; Hitesh Sapkota; Qi Yu 001 (NeurIPS, 2024)

GLEN: Generalized Focal Loss Ensemble of Low-Rank Networks for Calibrated Visual Question Answering. - Mahsa Mozaffari; Hitesh Sapkota; Qi Yu 001 (AAAI, 2025)