Peijie Qiu
13 papers · 2024–2026 · 6 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (25) π Interdisciplinary Bridge π Renaissance Researcher (7) π Conference Polyglot (6) π§ Keyword Pioneer
π§
Keyword Pioneer
π€
Dynamic Duo
(12)
β
The Questioner
β‘
Prolific Year
(9)
π
Conference Pioneer
π
Century Club
(13)
Conferences
WACV (4)
ICML (3)
AAAI (2)
MICCAI (2)
ECCV (1)
ICCV (1)
Top co-authors
Keywords
optimal transport
(4)
image enhancement
(2)
fundus photography
(2)
retinal imaging
(2)
self-attention mechanism
(1)
domain adaptation
(1)
feature distribution
(1)
attention mechanism
(1)
multimodal learning
(1)
sequence representation
(1)
prompt learning
(1)
image-to-image translation
(1)
multiple instance learning
(1)
time series forecasting
(1)
representative sampling
(1)
determinantal point process
(1)
variational autoencoder
(1)
vision language model
(1)
data selection
(1)
stochastic differential equation
(1)
Papers
Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation
WACV 2026
Multimodal Variational Autoencoder: A Barycentric View
AAAI 2025
Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis
ICCV 2025
How Effective Can Dropout Be in Multiple Instance Learning ?
ICML 2025
Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement
WACV 2025
RD-DPP: Rate-Distortion Theory Meets Determinantal Point Process to Diversify Learning Data Samples
WACV 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
Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences
AAAI 2025
Active Source-Free Cross-Domain and Cross-Modality Adaptation for Volumetric Medical Image Segmentation by Image Sensitivity and Organ Heterogeneity Sampling
MICCAI 2025
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
ICML 2024
SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation
MICCAI 2024
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification
ECCV 2024