Reza Shirkavand

According to our database, Reza Shirkavand authored at least 17 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Privacy-Preserving LLMs Routing.

Xidong Wu, Yukuan Zhang, Yuqiong Ji, Reza Shirkavand, Qian Lou, Shangqian Gao

CoRR, April, 2026

ToMoE: Converting Dense Large Language Models to Mixture-of-Experts through Dynamic Structural Pruning.

Shangqian Gao, Ting Hua, Reza Shirkavand, Chi-Heng Lin, Zheng Tang, Zhengao Li, Longge Yuan, Fangyi Li, Zeyu Zhang, Alireza Ganjdanesh, Qian Lou, Jie Xu, Yen-Chang Hsu

Trans. Mach. Learn. Res., 2026

2025

Semantics Meet Signals: Dual Codebook Representationl Learning for Generative Recommendation.

Zheng Hui, Xiaokai Wei, Reza Shirkavand, Chen Wang, Weizhi Zhang, Alejandro Peláez, Michelle Gong

CoRR, November, 2025

Rotate Both Ways: Time-and-Order RoPE for Generative Recommendation.

Xiaokai Wei, Jiajun Wu, Daiyao Yi, Reza Shirkavand, Michelle Gong

CoRR, October, 2025

The Layout Is the Model: On Action-Item Coupling in Generative Recommendation.

Xiaokai Wei, Jiajun Wu, Daiyao Yi, Reza Shirkavand, Michelle Gong

CoRR, October, 2025

Catalog-Native LLM: Speaking Item-ID Dialect with Less Entanglement for Recommendation.

Reza Shirkavand, Xiaokai Wei, Chen Wang, Zheng Hui, Heng Huang, Michelle Gong

CoRR, October, 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, February, 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, Yen-Chang Hsu

CoRR, January, 2025

Cost-Aware Contrastive Routing for LLMs.

Reza Shirkavand, Shangqian Gao, Peiran Yu, Heng Huang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models.

Alireza Ganjdanesh, Reza Shirkavand, Shangqian Gao, Heng Huang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ARGUS: Hallucination and Omission Evaluation in Video-LLMs.

Ruchit Rawal, Reza Shirkavand, Heng Huang, Gowthami Somepalli, Tom Goldstein

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models.

Reza Shirkavand, Peiran Yu, Shangqian Gao, Gowthami Somepalli, Tom Goldstein, Heng Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

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

2023

Deep Prompt Tuning for Graph Transformers.

Reza Shirkavand, Heng Huang

CoRR, 2023

Prediction of Post-Operative Renal and Pulmonary Complications Using Transformers.

Reza Shirkavand, Fei Zhang, Heng Huang

CoRR, 2023

Incomplete Multimodal Learning for Complex Brain Disorders Prediction.

Reza Shirkavand, Liang Zhan, Heng Huang, Li Shen, Paul M. Thompson

CoRR, 2023

2021

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