Juan Wang
14 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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πΊοΈ Taxonomy Completionist (28) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
(3)
π
Renaissance Researcher
(7)
π₯
Unstoppable Β· Bronze
β
The Questioner
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(60)
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(6)
Application Areas
(6)
Core AI
(6)
Learning Types Β· Machine Learning
(5)
Optimization & Theory
(4)
Computer Vision
(3)
Processing
(3)
Deep Learning
(2)
Learning Types Β· Deep Learning
(2)
Data Science & Analytics
(1)
Healthcare & Medicine
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Security & Privacy
(1)
Keywords
image signal processing
(3)
data reconstruction attack
(2)
reinforcement learning
(2)
hyperparameter optimization
(2)
multimodal large language model
(2)
video understanding
(1)
scene understanding
(1)
privacy attack
(1)
multimodal learning
(1)
chain-of-thought reasoning
(1)
depth estimation
(1)
privacy preservation
(1)
computer vision
(1)
neural architecture search
(1)
sequential optimization
(1)
direct preference optimization
(1)
feature representation
(1)
sequential prediction
(1)
image processing
(1)
query efficiency
(1)
Papers
PUPPET: Neural-Symbolic Standardized Patients for Mental Health
ACL 2026
Cross-Modal Brain Graph Transformer via Function-Structure Connectivity Network for Brain Disease Diagnosis
MICCAI 2025
DHGFormer: Dynamic Hierarchical Graph Transformer for Disorder Brain Disease Diagnosis
MICCAI 2025
From Head to Tail: Efficient Black-box Model Inversion Attack via Long-tailed Learning
CVPR 2025
HVGuard: Utilizing Multimodal Large Language Models for Hateful Video Detection
EMNLP 2025
Multimodal Large Language Model-Guided ISP Hyperparameter Optimization with Dynamic Preference Learning
ICCV 2025
A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning
CVPR 2024
PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality Assessment via Prompts
ECCV 2024
RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing
AAAI 2024
GAN You See Me? Enhanced Data Reconstruction Attacks against Split Inference
NeurIPS 2023
Learning To Exploit the Sequence-Specific Prior Knowledge for Image Processing Pipelines Optimization
CVPR 2023
Attention-Aware Learning for Hyperparameter Prediction in Image Processing Pipelines
ECCV 2022
Measuring Data Reconstruction Defenses in Collaborative Inference Systems
NeurIPS 2022
Reinforcement Learning-based Product Delivery Frequency Control
AAAI 2021