Zixuan Liu
12 papers · 2021–2026 · 8 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
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (25) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint 𧬠Topic Evolution
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(5)
Core AI
(5)
Deep Learning
(4)
Application Areas
(3)
Optimization & Theory
(3)
Computer Vision
(2)
Learning Paradigms
(2)
Learning Types
(2)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Natural Language Processing
(1)
Analysis
(1)
Architectures
(1)
Clinical
(1)
Keywords
data augmentation
(2)
sample efficiency
(1)
text generation
(1)
visual question answering
(1)
visual reinforcement learning
(1)
in-context learning
(1)
domain adaptation
(1)
multimodal learning
(1)
text summarization
(1)
medical image segmentation
(1)
zero-shot learning
(1)
scene graph
(1)
message passing
(1)
label noise
(1)
bilevel optimization
(1)
k-nearest neighbor
(1)
diffusion model
(1)
ensemble method
(1)
surrogate model
(1)
3d reconstruction
(1)
Papers
A-ADAPT: Adaptive Intracranial Artery Segmentation with Morphology-Guided Prompts and Difficulty-Aware Learning
MIDL 2026
Targeting Misalignment: A Conflict-Aware Framework for Reward-Model-based LLM Alignment
AAAI 2026
Augmented Reality-based Guidance with Deformable Registration in Head and Neck Tumor Resection
MICCAI 2025
BADGR: Bundle Adjustment Diffusion Conditioned by Gradients for Wide-Baseline Floor Plan Reconstruction
CVPR 2025
GrInAdapt: Source-free Multi-Target Domain Adaptation for Retinal Vessel Segmentation
MICCAI 2025
MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning
ICLR 2024
Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages
ICLR 2024
Importance-aware Co-teaching for Offline Model-based Optimization
NeurIPS 2023
Over-Training with Mixup May Hurt Generalization
ICLR 2023
Parallel-mentoring for Offline Model-based Optimization
NeurIPS 2023
Textomics: A Dataset for Genomics Data Summary Generation
ACL 2022
GraghVQA: Language-Guided Graph Neural Networks for Graph-based Visual Question Answering
NAACL 2021