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ORCIDJinman Kim
- > Home > Persons > Jinman Kim
Publications
- 2025
[i68]Hao Wang, Shuchang Ye, Jinghao Lin, Usman Naseem, Jinman Kim:
LVMed-R2: Perception and Reflection-driven Complex Reasoning for Medical Report Generation. CoRR abs/2504.02885 (2025)- [i67]Yongpei Ma, Pengyu Wang, Adam G. Dunn, Usman Naseem, Jinman Kim:
Bridging the Semantic Gaps: Improving Medical VQA Consistency with LLM-Augmented Question Sets. CoRR abs/2504.11777 (2025) - [i64]Shuchang Ye, Usman Naseem, Mingyuan Meng, David D. Feng, Jinman Kim:
MedCFVQA: A Causal Approach to Mitigate Modality Preference Bias in Medical Visual Question Answering. CoRR abs/2505.16209 (2025) - [i63]Pengyu Wang, Shuchang Ye, Usman Naseem, Jinman Kim:
MRGAgents: A Multi-Agent Framework for Improved Medical Report Generation with Med-LVLMs. CoRR abs/2505.18530 (2025) - [i62]Shuchang Ye, Usman Naseem, Mingyuan Meng, Jinman Kim:
Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation. CoRR abs/2507.11055 (2025) - 2024
- [j102]Usman Naseem
, Matloob Khushi, Jinman Kim, Adam G. Dunn:
Hybrid Text Representation for Explainable Suicide Risk Identification on Social Media. IEEE Trans. Comput. Soc. Syst. 11(4): 4663-4672 (2024) - [j101]Usman Naseem, Matloob Khushi, Adam G. Dunn, Jinman Kim:
K-PathVQA: Knowledge-Aware Multimodal Representation for Pathology Visual Question Answering. IEEE J. Biomed. Health Informatics 28(4): 1886-1895 (2024) - [c107]Usman Naseem, Adam G. Dunn, Matloob Khushi, Jinman Kim:
Vaccine Misinformation Detection in X using Cooperative Multimodal Framework. ACM Multimedia 2024: 4034-4042 - [c106]Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn:
A Linguistic Grounding-Infused Contrastive Learning Approach for Health Mention Classification on Social Media. WSDM 2024: 529-537 - 2023
- [j90]Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn:
Robust Identification of Figurative Language in Personal Health Mentions on Twitter. IEEE Trans. Artif. Intell. 4(2): 362-372 (2023) - [j89]Usman Naseem, Matloob Khushi, Jinman Kim, Adam G. Dunn:
RHMD: A Real-World Dataset for Health Mention Classification on Reddit. IEEE Trans. Comput. Soc. Syst. 10(5): 2325-2334 (2023) - [j87]Usman Naseem, Matloob Khushi, Jinman Kim:
Vision-Language Transformer for Interpretable Pathology Visual Question Answering. IEEE J. Biomed. Health Informatics 27(4): 1681-1690 (2023) - [c101]Anum Masood, Usman Naseem, Jinman Kim:
Multi-Level Swin Transformer Enabled Automatic Segmentation and Classification of Breast Metastases. EMBC 2023: 1-4 - [c93]Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn:
A Multimodal Framework for the Identification of Vaccine Critical Memes on Twitter. WSDM 2023: 706-714 - [c92]Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn:
Graph-Based Hierarchical Attention Network for Suicide Risk Detection on Social Media. WWW (Companion Volume) 2023: 995-1003 - 2022
- [j83]Usman Naseem, Adam G. Dunn, Matloob Khushi, Jinman Kim:
Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT. BMC Bioinform. 23(1): 144 (2022) - [c86]Usman Naseem, Adam G. Dunn, Jinman Kim, Matloob Khushi:
Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification. WWW 2022: 2563-2572 - [c85]Usman Naseem, Jinman Kim, Matloob Khushi, Adam G. Dunn:
Identification of Disease or Symptom terms in Reddit to Improve Health Mention Classification. WWW 2022: 2573-2581 - [i37]Usman Naseem, Byoung-Chan Lee, Matloob Khushi, Jinman Kim, Adam G. Dunn:
Benchmarking for Public Health Surveillance tasks on Social Media with a Domain-Specific Pretrained Language Model. CoRR abs/2204.04521 (2022) - 2021
- [j59]Usman Naseem, Imran Razzak, Matloob Khushi, Peter W. Eklund, Jinman Kim:
COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis. IEEE Trans. Comput. Soc. Syst. 8(4): 1003-1015 (2021) - [c80]Usman Naseem, Matloob Khushi, Jinman Kim, Adam G. Dunn:
Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU. IJCNN 2021: 1-8 - [c79]Usman Naseem, Matloob Khushi, Vinay Reddy, Sakthivel Rajendran, Imran Razzak, Jinman Kim:
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition. IJCNN 2021: 1-7 - [i23]Usman Naseem, Matloob Khushi, Jinman Kim, Adam G. Dunn:
Classifying vaccine sentiment tweets by modelling domain-specific representation and commonsense knowledge into context-aware attentive GRU. CoRR abs/2106.09589 (2021) - [i22]Usman Naseem, Adam G. Dunn, Matloob Khushi, Jinman Kim:
Benchmarking for Biomedical Natural Language Processing Tasks with a Domain Specific ALBERT. CoRR abs/2107.04374 (2021) - 2020
- [i13]Usman Naseem, Matloob Khushi, Vinay Reddy, Sakthivel Rajendran, Imran Razzak, Jinman Kim:
BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition. CoRR abs/2009.09223 (2020)
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last updated on 2025-08-26 23:04 CEST by the dblp team
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