Fengze Liu
11 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (7) π Academic Marathon (6) π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (25)
π
Interdisciplinary Bridge
π£
Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(25)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(53)
π
Conference Pioneer
π
Century Club
(10)
Conferences
CVPR (2)
ECCV (2)
EMNLP (2)
AAAI (1)
ACL (1)
ICCV (1)
MIDL (1)
WACV (1)
Top co-authors
Keywords
medical image segmentation
(3)
large language model
(2)
variational autoencoder
(2)
medical imaging
(2)
image segmentation
(2)
feature learning
(1)
multi-task learning
(1)
semantic segmentation
(1)
noisy label learning
(1)
semi-supervised learning
(1)
robust classification
(1)
interpretable machine learning
(1)
explainable ai
(1)
unsupervised domain adaptation
(1)
multi-view learning
(1)
uncertainty quantification
(1)
label noise
(1)
fourier transform
(1)
shape modeling
(1)
image restoration
(1)
Papers
TiKMiX: Efficient Semi-Dynamic Data Mixture via Data Influence for LLM Pre-training
ACL 2026
AutoCT: Automating Interpretable Clinical Trial Prediction with LLM Agents
EMNLP 2025
Event Causality Identification with Synthetic Control
EMNLP 2024
L2B: Learning to Bootstrap Robust Models for Combating Label Noise
CVPR 2024
Intriguing Findings of Frequency Selection for Image Deblurring
AAAI 2023
Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation
MIDL 2022
Deep Distance Transform for Tubular Structure Segmentation in CT Scans
CVPR 2020
Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation
ECCV 2020
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans
ECCV 2020
3D semi-supervised learning with uncertainty-aware multi-view co-training
WACV 2020
An Alarm System for Segmentation Algorithm Based on Shape Model
ICCV 2019