Hossein Rajabzadeh

According to our database, Hossein Rajabzadeh authored at least 10 papers between 2018 and 2025.

Collaborative distances:

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

2025

ECHO-LLaMA: Efficient Caching for High-Performance LLaMA Training.

Maryam Dialameh, Rezaul Karim, Hossein Rajabzadeh, Omar Mohamed Awad, Hyock Ju Kwon, Boxing Chen, Walid Ahmed, Yang Liu

CoRR, May, 2025

Balcony: A Lightweight Approach to Dynamic Inference of Generative Language Models.

Benyamin Jamialahmadi, Parsa Kavehzadeh, Mehdi Rezagholizadeh, Parsa Farinneya, Hossein Rajabzadeh, Aref Jafari, Boxing Chen, Marzieh S. Tahaei

CoRR, March, 2025

DualSwinUnet++: An enhanced Swin-Unet architecture with dual decoders for PTMC segmentation.

Maryam Dialameh, Hossein Rajabzadeh, Moslem Sadeghi-Goughari, Jung Suk Sim, Hyock Ju Kwon

Comput. Biol. Medicine, 2025

2024

E2E-Swin-Unet++: An Enhanced End-to-End Swin-Unet Architecture With Dual Decoders For PTMC Segmentation.

Maryam Dialameh, Hossein Rajabzadeh, Moslem Sadeghi-Goughari, Jung Suk Sim, Hyock Ju Kwon

CoRR, 2024

EchoAtt: Attend, Copy, then Adjust for More Efficient Large Language Models.

Hossein Rajabzadeh, Aref Jafari, Aman Sharma, Benyamin Jami, Hyock Ju Kwon, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh

Proceedings of the NeurIPS Efficient Natural Language and Speech Processing Workshop, 2024

QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning.

Hossein Rajabzadeh, Mojtaba Valipour, Tianshu Zhu, Marzieh S. Tahaei, Hyock Ju Kwon, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2023

Multimodal Multi-Hop Question Answering Through a Conversation Between Tools and Efficiently Finetuned Large Language Models.

Hossein Rajabzadeh, Suyuchen Wang, Hyock Ju Kwon, Bang Liu

CoRR, 2023

SortedNet, a Place for Every Network and Every Network in its Place: Towards a Generalized Solution for Training Many-in-One Neural Networks.

Mojtaba Valipour, Mehdi Rezagholizadeh, Hossein Rajabzadeh, Marzieh S. Tahaei, Boxing Chen, Ali Ghodsi

CoRR, 2023

2021

Supervised discriminative dimensionality reduction by learning multiple transformation operators.

Hossein Rajabzadeh, Mansoor Zolghadri Jahromi, Ali Ghodsi

Expert Syst. Appl., 2021

2018

Local Distance Metric Learning for Nearest Neighbor Algorithm.

Hossein Rajabzadeh, Mansoor Zolghadri Jahromi, Mohammad Sadegh Zare, Seyed Mostafa Fakhrahmad

CoRR, 2018