Sajib Acharjee Dip

According to our database, Sajib Acharjee Dip authored at least 10 papers between 2024 and 2025.

Collaborative distances:

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

2025

LLM4Cell: A Survey of Large Language and Agentic Models for Single-Cell Biology.

Sajib Acharjee Dip, Adrika Zafor, Bikash Kumar Paul, Uddip Acharjee Shuvo, Muhit Islam Emon, Xuan Wang, Liqing Zhang

CoRR, October, 2025

CFM-GP: Unified Conditional Flow Matching to Learn Gene Perturbation Across Cell Types.

Abrar Rahman Abir, Sajib Acharjee Dip, Liqing Zhang

CoRR, August, 2025

MoXGATE: Modality-aware cross-attention for multi-omic gastrointestinal cancer sub-type classification.

Sajib Acharjee Dip, Uddip Acharjee Shuvo, Dipanwita Mallick, Abrar Rahman Abir, Liqing Zhang

CoRR, June, 2025

Fixing Imbalanced Attention to Mitigate In-Context Hallucination of Large Vision-Language Model.

Kazi Hasan Ibn Arif, Sajib Acharjee Dip, Khizar Hussain, Lang Zhang, Chris Thomas

CoRR, January, 2025

UnCOT-AD: Unpaired Cross-Omics Translation Enables Multi-Omics Integration for Alzheimer's Disease Prediction.

Abrar Rahman Abir, Sajib Acharjee Dip, Liqing Zhang

Briefings Bioinform., 2025

2024

Equitable Skin Disease Prediction Using Transfer Learning and Domain Adaptation.

Sajib Acharjee Dip, Kazi Hasan Ibn Arif, Uddip Acharjee Shuvo, Ishtiaque Ahmed Khan, Na Meng

CoRR, 2024

PathoLM: Identifying pathogenicity from the DNA sequence through the Genome Foundation Model.

Sajib Acharjee Dip, Uddip Acharjee Shuvo, Tran Chau, Haoqiu Song, Petra Choi, Xuan Wang, Liqing Zhang

CoRR, 2024

AI for Biomedicine in the Era of Large Language Models.

Zhenyu Bi, Sajib Acharjee Dip, Daniel Hajialigol, Sindhura Kommu, Hanwen Liu, Meng Lu, Xuan Wang

CoRR, 2024

Assessing ChatGPT's Code Generation Capabilities with Short vs Long Context Programming Problems.

Uddip Acharjee Shuvo, Sajib Acharjee Dip, Nirvar Roy Vaskar, A. B. M. Alim Al Islam

Proceedings of the 11th International Conference on Networking, Systems, and Security, 2024

PathoLM: Identifying pathogenicity from the DNA sequence through the Genome Foundation Model.

Sajib Acharjee Dip

Proceedings of the Machine Learning in Computational Biology, 2024