Zhihong Chen
31 papers · 2019–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Conference Polyglot (8) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (12)
π
Renaissance Researcher
(8)
π
Conference Polyglot
(8)
π
Academic Marathon
(6)
π€
Dynamic Duo
(19)
π¬
Deep Specialist
(11)
π§¬
Topic Evolution
π
Keyword Champion
(5)
ποΈ
Keyword Collector
(141)
π
Conference Pioneer
π₯
Unstoppable
(7)
π
Century Club
(31)
β‘
Prolific Year
(8)
Conferences
ACL (11)
AAAI (6)
EMNLP (3)
NAACL (3)
CVPR (2)
ICCV (2)
IJCNLP (2)
NIPS (2)
Top co-authors
Keywords
medical imaging
(10)
multimodal learning
(7)
large language model
(6)
radiology report
(6)
radiology report generation
(5)
report generation
(4)
vision-language model
(4)
contrastive learning
(4)
chest x-ray
(3)
domain adaptation
(3)
transfer learning
(3)
clinical nlp
(3)
cross-modal learning
(3)
impression generation
(3)
benchmark evaluation
(2)
domain alignment
(2)
supervised fine-tuning
(2)
image-text alignment
(2)
memory network
(2)
reinforcement learning
(2)
Papers
CheXalign: Preference fine-tuning in chest X-ray interpretation models without human feedback
ACL 2025
Automated Structured Radiology Report Generation
ACL 2025
MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria
NAACL 2025
Exploring the Potential of Dense Information in Multimodal Alignment
ACL 2024
WhodunitBench: Evaluating Large Multimodal Agents via Murder Mystery Games
NIPS 2024
RadGraph-XL: A Large-Scale Expert-Annotated Dataset for Entity and Relation Extraction from Radiology Reports
ACL 2024
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models
NIPS 2024
Overview of the First Shared Task on Clinical Text Generation: RRG24 and βDischarge Me!β
ACL 2024
GREEN: Generative Radiology Report Evaluation and Error Notation
EMNLP 2024
CMB: A Comprehensive Medical Benchmark in Chinese
NAACL 2024
AceGPT, Localizing Large Language Models in Arabic
NAACL 2024
Advancing Visual Grounding With Scene Knowledge: Benchmark and Method
CVPR 2023
Improving Radiology Summarization with Radiograph and Anatomy Prompts
ACL 2023
On the Difference of BERT-style and CLIP-style Text Encoders
ACL 2023
Towards Unifying Medical Vision-and-Language Pre-Training via Soft Prompts
ICCV 2023
Toward Expanding the Scope of Radiology Report Summarization to Multiple Anatomies and Modalities
ACL 2023
A Simple Yet Effective Subsequence-Enhanced Approach for Cross-Domain NER
AAAI 2023
EASAL: Entity-Aware Subsequence-Based Active Learning for Named Entity Recognition
AAAI 2023
Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image Segmentation
ICCV 2023
HuatuoGPT, Towards Taming Language Model to Be a Doctor
EMNLP 2023
Graph Enhanced Contrastive Learning for Radiology Findings Summarization
ACL 2022
Cross-modal Memory Networks for Radiology Report Generation
IJCNLP 2021
Word Graph Guided Summarization for Radiology Findings
IJCNLP 2021
Cross-modal Memory Networks for Radiology Report Generation
ACL 2021
Word Graph Guided Summarization for Radiology Findings
ACL 2021
Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing
AAAI 2021
HoMM: Higher-Order Moment Matching for Unsupervised Domain Adaptation
AAAI 2020
Selective Transfer With Reinforced Transfer Network for Partial Domain Adaptation
CVPR 2020
Generating Radiology Reports via Memory-driven Transformer
EMNLP 2020
Hierarchical Attention Network for Image Captioning
AAAI 2019
Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation
AAAI 2019