Dementia Severity Classification under Small Sample Size and Weak Supervision in Thick Slice MRI. - Reza Shirkavand; Sana Ayromlou; Soroush Farghadani; Maedeh-sadat Tahaei; Fattane Pourakpour; Bahareh Siahlou; Zeynab Khodakarami; Mohammad H. Rohban; Mansoor Fatehi; Hamid R. Rabiee (CoRR, 2021)

Incomplete Multimodal Learning for Complex Brain Disorders Prediction. - Reza Shirkavand; Liang Zhan; Heng Huang; Li Shen 001; Paul M. Thompson (CoRR, 2023)

Prediction of Post-Operative Renal and Pulmonary Complications Using Transformers. - Reza Shirkavand; Fei Zhang; Heng Huang (CoRR, 2023)

Deep Prompt Tuning for Graph Transformers. - Reza Shirkavand; Heng Huang (CoRR, 2023)

From Pixels to Prose: A Large Dataset of Dense Image Captions. - Vasu Singla; Kaiyu Yue; Sukriti Paul; Reza Shirkavand; Mayuka Jayawardhana; Alireza Ganjdanesh; Heng Huang; Abhinav Bhatele; Gowthami Somepalli; Tom Goldstein (CoRR, 2024)

Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models. - Reza Shirkavand; Peiran Yu; Shangqian Gao; Gowthami Somepalli; Tom Goldstein; Heng Huang (CVPR, 2025)

Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models. - Alireza Ganjdanesh; Reza Shirkavand; Shangqian Gao; Heng Huang (ICLR, 2025)

ToMoE: Converting Dense Large Language Models to Mixture-of-Experts through Dynamic Structural Pruning. - Shangqian Gao; Ting Hua; Reza Shirkavand; Chi-Heng Lin; Zhen Tang; Zhengao Li; Longge Yuan; Fangyi Li; Zeyu Zhang; Alireza Ganjdanesh; Qian Lou; Xu Jie; et al. (CoRR, 2025)

Bilevel ZOFO: Bridging Parameter-Efficient and Zeroth-Order Techniques for Efficient LLM Fine-Tuning and Meta-Training. - Reza Shirkavand; Qi He; Peiran Yu; Heng Huang (CoRR, 2025)

ARGUS: Hallucination and Omission Evaluation in Video-LLMs. - Ruchit Rawal; Reza Shirkavand; Heng Huang; Gowthami Somepalli; Tom Goldstein (CoRR, 2025)