Abstractive Text Summarization of Disaster-Related Documents. - Nasik Muhammad Nafi; Avishek Bose; Sarthak Khanal; Doina Caragea; William H. Hsu (ISCRAM, 2020)

Addressing Class Imbalance in Image-Based Plant Disease Detection: Deep Generative vs. Sampling-Based Approaches. - Nasik Muhammad Nafi; William H. Hsu (IWSSIP, 2020)

eGAN: Unsupervised Approach to Class Imbalance Using Transfer Learning. - Ademola Okerinde; William H. Hsu; Tom Theis; Nasik Muhammad Nafi; Lior Shamir (CAIP (1), 2021)

Attention-based Partial Decoupling of Policy and Value for Generalization in Reinforcement Learning. - Nasik Muhammad Nafi; Creighton Glasscock; William H. Hsu (ICMLA, 2022)

Multi-Horizon Learning in Procedurally-Generated Environments for Off-Policy Reinforcement Learning (Student Abstract). - Raja Farrukh Ali; Kevin Duong; Nasik Muhammad Nafi; William H. Hsu (AAAI, 2023)

Learning Representations and Robust Exploration for Improved Generalization in Reinforcement Learning. - Nasik Muhammad Nafi (AAMAS, 2023)

Analyzing the Sensitivity to Policy-Value Decoupling in Deep Reinforcement Learning Generalization. - Nasik Muhammad Nafi; Raja Farrukh Ali; William H. Hsu (AAMAS, 2023)

Relevant Instance Segmentation in American Football Practice Images to Aid Risky Tackle Detection. - Nasik Muhammad Nafi; Ashley Rediger; Scott Dietrich; William H. Hsu (ICMLA, 2023)

Policy Optimization with Augmented Value Targets for Generalization in Reinforcement Learning. - Nasik Muhammad Nafi; Giovanni Poggi-Corradini; William H. Hsu (IJCNN, 2023)

Policy Optimization using Horizon Regularized Advantage to Improve Generalization in Reinforcement Learning. - Nasik Muhammad Nafi; Raja Farrukh Ali; William H. Hsu; Kevin Duong; Mason Vick (AAMAS, 2024)

A Minimalist Approach to Augmentation-based Self-supervised Representation Learning for On-policy Reinforcement Learning. - Nasik Muhammad Nafi; William H. Hsu (AAMAS, 2025)

ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling. - Xiao Wang 004; Jong-Youl Choi; Takuya Kurihaya; Isaac Lyngaas; Hong-Jun Yoon; Ming Fan; Nasik Muhammad Nafi; Aristeidis Tsaris; Ashwin M. Aji; Maliha Hossain; Mohamed Wahib; Dali Wang; et al. (CoRR, 2025)