Chen Jin
12 papers · 2020–2026 · 9 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
Jump to papers ↓+4 more ↓ Show less ↑
π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (27) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
β‘
Prolific Year Β· Productive
β
The Questioner
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(64)
Top co-authors
Research topics
Deep Learning
(9)
Computer Vision
(7)
Artificial Intelligence
(6)
Core AI
(6)
Machine Learning
(5)
Models
(5)
Domain-Specific
(4)
Learning Types Β· Deep Learning
(4)
Learning Types Β· Machine Learning
(3)
Processing
(3)
Healthcare & Medicine
(2)
Analysis
(2)
Clinical
(2)
Natural Language Processing
(1)
Application Areas
(1)
Keywords
diffusion model
(4)
semantic segmentation
(2)
vision-language model
(2)
synthetic data generation
(2)
medical imaging
(1)
image synthesis
(1)
image segmentation
(1)
efficient computing
(1)
model calibration
(1)
prompt learning
(1)
conditional entropy
(1)
annotator reliability
(1)
visual concept
(1)
generative model
(1)
convolutional neural network
(1)
medical image segmentation
(1)
convolutional network
(1)
synthetic data
(1)
image restoration
(1)
zero-shot learning
(1)
Papers
HalluGen: Synthesizing Realistic and Controllable Hallucinations for Evaluating Image Restoration
CVPR 2026
Balancing Act: Diversity and Consistency in Large Language Model Ensembles
ICLR 2025
Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?
ACL 2025
DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations
EMNLP 2025
Diffusion Instruction Tuning
ICML 2025
Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation
ICML 2025
Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS
MICCAI 2025
An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning
ICML 2024
Tackling Structural Hallucination in Image Translation with Local Diffusion
ECCV 2024
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation
MIDL 2022
Learning to Downsample for Segmentation of Ultra-High Resolution Images
ICLR 2022
Disentangling Human Error from Ground Truth in Segmentation of Medical Images
NeurIPS 2020