Cheng Bian
6 papers · 2021–2026 · 3 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 ↓
🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(17)
❓
The Questioner
Top co-authors
Research topics
Computer Vision
(5)
Deep Learning
(3)
Machine Learning
(3)
Analysis
(3)
Domain-Specific
(3)
Learning Types · Machine Learning
(3)
Processing
(3)
Healthcare & Medicine
(2)
Learning Types · Deep Learning
(2)
Artificial Intelligence
(1)
Application Areas
(1)
Architectures
(1)
Clinical
(1)
Core AI
(1)
Learning Paradigms
(1)
Keywords
semantic segmentation
(3)
medical image segmentation
(2)
semi-supervised learning
(1)
attention mechanism
(1)
weakly supervised learning
(1)
autonomous driving
(1)
unsupervised domain adaptation
(1)
blood pressure
(1)
signal transformation
(1)
bilevel optimization
(1)
physiological signal
(1)
multispectral video
(1)
calibrated prediction
(1)
label-efficient learning
(1)
hybrid supervision
(1)
temporal context
(1)
waveform reconstruction
(1)
photoplethysmography signal
(1)
arterial blood pressure
(1)
latent space constraint
(1)
Papers
Lost in Time? A Meta-Learning Framework for Time-Shift-Tolerant Physiological Signal Transformation
AAAI 2026
Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation Solution from Photoplethysmography to Arterial Blood Pressure
AAAI 2024
Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline
CVPR 2023
Label-Efficient Hybrid-Supervised Learning for Medical Image Segmentation
AAAI 2022
Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling
CVPR 2021
Multi-Anchor Active Domain Adaptation for Semantic Segmentation
ICCV 2021