Xiwen Chen
13 papers · 2024–2026 · 7 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Gold πΊοΈ Taxonomy Completionist (24) π Conference Polyglot Β· Silver π€ Dynamic Duo (13) π Renaissance Researcher (5)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(59)
β
The Questioner
β‘
Prolific Year Β· Productive
π
Conference Pioneer
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Research topics
Machine Learning
(10)
Core Methods
(6)
Deep Learning
(5)
Artificial Intelligence
(4)
Application Areas
(4)
Core AI
(4)
Learning Types
(4)
Healthcare & Medicine
(3)
Mathematics & Optimization
(3)
Clinical
(3)
Models
(3)
Optimization
(3)
Optimization & Theory
(3)
Computer Vision
(2)
Data Science & Analytics
(2)
Keywords
optimal transport
(3)
multiple instance learning
(3)
vision-language model
(2)
transformer architecture
(1)
visual question answering
(1)
prompt learning
(1)
self-attention mechanism
(1)
attention mechanism
(1)
multimodal learning
(1)
sequence representation
(1)
feature embedding
(1)
video understanding
(1)
time series classification
(1)
image-to-image translation
(1)
instruction tuning
(1)
feature distribution
(1)
representation learning
(1)
time series forecasting
(1)
representative sampling
(1)
wasserstein distance
(1)
Papers
EVTP-IVS: Effective Visual Token Pruning For Unifying Instruction Visual Segmentation In Multi-Modal Large Language Models
WACV 2026
LLaDA-MedV: Exploring Large Language Diffusion Models for Biomedical Image Understanding
CVPR 2026
Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation
WACV 2026
Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis
ICCV 2025
CUNSB-RFIE: Context-Aware Unpaired Neural Schrodinger Bridge in Retinal Fundus Image Enhancement
WACV 2025
FIC-TSC: Learning Time Series Classification with Fisher Information Constraint
ICML 2025
How Effective Can Dropout Be in Multiple Instance Learning ?
ICML 2025
Multimodal Variational Autoencoder: A Barycentric View
AAAI 2025
RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples
WACV 2025
Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences
AAAI 2025
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification
ECCV 2024
SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation
MICCAI 2024
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
ICML 2024