Xiaochen Wang
14 papers · 2017–2025 · 11 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (7) π Interdisciplinary Bridge π Conference Polyglot (11) π Academic Marathon (8) πΊοΈ Taxonomy Completionist (35)
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Renaissance Researcher
(7)
π
Interdisciplinary Bridge
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Conference Polyglot
(11)
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Topic Evolution
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Trend Setter
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Prolific Year
(5)
π
Century Club
(14)
β
The Questioner
ποΈ
Keyword Collector
(80)
Conferences
EMNLP (3)
NAACL (2)
AAAI (1)
ACL (1)
ACML (1)
COLING (1)
CVPR (1)
ICML (1)
IJCAI (1)
IJCNLP (1)
NIPS (1)
Top co-authors
Research topics
Keywords
multimodal learning
(5)
foundation model
(3)
medical imaging
(3)
transfer learning
(2)
deep learning
(2)
federated learning
(2)
electronic health record
(2)
medical ai
(2)
multi-modal learning
(2)
embedding learning
(1)
multi-label classification
(1)
hierarchical classification
(1)
information retrieval
(1)
visual reasoning
(1)
named entity recognition
(1)
sequence labeling
(1)
token classification
(1)
class imbalance
(1)
predictive modeling
(1)
model merging
(1)
Papers
Developing Multimodal Healthcare Foundation Model: From Data-driven to Knowledge-enhanced
AAAI 2025
AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization
CVPR 2025
Beyond Single Frames: Can LMMs Comprehend Implicit Narratives in Comic Strip?
EMNLP 2025
SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine
NAACL 2025
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models
EMNLP 2024
Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources
ACL 2024
CoRelation: Boosting Automatic ICD Coding through Contextualized Code Relation Learning
COLING 2024
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection
NIPS 2024
Recent Advances in Predictive Modeling with Electronic Health Records
IJCAI 2024
Hierarchical Pretraining on Multimodal Electronic Health Records
EMNLP 2023
Sentence-Level Resampling for Named Entity Recognition
NAACL 2022
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates
ICML 2020
A Data Driven Approach to Predicting Rating Scores for New Restaurants
ACML 2018
Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation
IJCNLP 2017