Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation. - Sandipan Choudhuri; Riti Paul; Arunabha Sen; Baoxin Li; Hemanth Venkateswara (ACSSC, 2020)

Instance Adaptive Prototypical Contrastive Embedding for Generalized Zero Shot Learning. - Riti Paul; Sahil Vora; Baoxin Li (CoRR, 2023)

Transferable Variational Feedback Network for Vendor Generalization in Accelerated MRI. - Riti Paul; Sahil Vora; Pak Lun Kevin Ding; Ameet Patel; Leland Hu; Baoxin Li; Yuxiang Zhou (AIiH (2), 2024)

Translation of Partially Paired Images with Generative Adversarial Networks. - Sachin Chhabra; Yaoxin Zhuo; Riti Paul; Javad Sohankar; Ji Luo; Shan Li; Wendy Lee; Yi Su; Teresa Wu; Baoxin Li (BHI, 2024)

A-FSL: Adaptive Few-Shot Learning via Task-Driven Context Aggregation and Attentive Feature Refinement. - Riti Paul; Sahil Vora; Nupur Thakur; Baoxin Li (ICPR (26), 2024)

MEDL: Unsupervised Multi-Stage Ensemble Deep Learning With Diffusion Models for Denoising MRI Scans. - Sahil Vora; Riti Paul; Pak Lun Kevin Ding; Ameet Patel; Leland Hu; Richard Sharpe; Yuxiang Zhou; Baoxin Li (ISBI, 2025)