Zihao Zhao
11 papers · 2020–2025 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (23) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
(2)
π
Conference Pioneer
β
The Questioner
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
π
Renaissance Researcher
(7)
Venues
Top co-authors
Research topics
Artificial Intelligence
(7)
Core AI
(6)
Deep Learning
(3)
Machine Learning
(3)
Computer Vision
(2)
Application Areas
(2)
Learning Paradigms
(2)
Learning Types Β· Machine Learning
(2)
Learning Types Β· Deep Learning
(2)
Models
(2)
Data Science & Analytics
(1)
Healthcare & Medicine
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Security & Privacy
(1)
Keywords
synthetic text
(2)
few-shot learning
(2)
medical imaging
(1)
visual question answering
(1)
eye tracking
(1)
temporal reasoning
(1)
text generation
(1)
trajectory analysis
(1)
privacy preservation
(1)
video understanding
(1)
prompt engineering
(1)
synthetic data generation
(1)
evaluation framework
(1)
model alignment
(1)
domain adaptation
(1)
language model
(1)
synthetic data
(1)
meta-reinforcement learning
(1)
controllable generation
(1)
contrastive learning
(1)
Papers
Controlled Generation for Private Synthetic Text
EMNLP 2025
GLIMPSE: Do Large Vision-Language Models Truly Think With Videos or Just Glimpse at Them?
EMNLP 2025
Improving Alignment in LVLMs with Debiased Self-Judgment
EMNLP 2025
Med-LEGO: Editing and Adapting toward Generalist Medical Image Diagnosis
MICCAI 2025
SynthTextEval: Synthetic Text Data Generation and Evaluation for High-Stakes Domains
EMNLP 2025
Gaze-DETR: Using Expert Gaze to Reduce False Positives in Vulvovaginal Candidiasis Screening
MICCAI 2024
Knowledge-Guided Prompt Learning for Lifespan Brain MR Image Segmentation
MICCAI 2024
Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis
AAAI 2024
RippleCOT: Amplifying Ripple Effect of Knowledge Editing in Language Models via Chain-of-Thought In-Context Learning
EMNLP 2024
Calibrate Before Use: Improving Few-shot Performance of Language Models
ICML 2021
MELD: Meta-Reinforcement Learning from Images via Latent State Models
CoRL 2020