Xiaochen Wang
14 papers · 2017–2025 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (35) π Academic Marathon Β· Sprint π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
ποΈ
Keyword Collector
(82)
π
Trend Setter
π
Renaissance Researcher
(6)
π
Century Club Β· Bronze
β
The Questioner
β‘
Prolific Year Β· Productive
Venues
Top co-authors
Research topics
Machine Learning
(13)
Artificial Intelligence
(9)
Core AI
(9)
Core Methods
(6)
Deep Learning
(5)
Learning Types Β· Machine Learning
(5)
Learning Types Β· Deep Learning
(5)
Healthcare & Medicine
(4)
Application Areas
(4)
Clinical
(4)
Computer Vision
(3)
Natural Language Processing
(3)
Domain-Specific
(2)
Learning Paradigms Β· Artificial Intelligence
(2)
Learning Paradigms Β· Machine Learning
(2)
Keywords
multimodal learning
(6)
medical imaging
(3)
foundation model
(3)
federated learning
(2)
electronic health record
(2)
transfer learning
(2)
deep learning
(2)
medical ai
(2)
embedding learning
(1)
multi-label classification
(1)
hierarchical classification
(1)
information retrieval
(1)
visual reasoning
(1)
model merging
(1)
named entity recognition
(1)
sequence labeling
(1)
predictive modeling
(1)
token classification
(1)
gradient boosting
(1)
class imbalance
(1)
Papers
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
Developing Multimodal Healthcare Foundation Model: From Data-driven to Knowledge-enhanced
AAAI 2025
SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine
NAACL 2025
CoRelation: Boosting Automatic ICD Coding through Contextualized Code Relation Learning
COLING 2024
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models
EMNLP 2024
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection
NeurIPS 2024
Recent Advances in Predictive Modeling with Electronic Health Records
IJCAI 2024
Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources
ACL 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