Yangyang Wu
16 papers · 2021–2026 · 6 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· Bronze πΊοΈ Taxonomy Completionist (42) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
π
Renaissance Researcher
(7)
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(86)
Top co-authors
Research topics
Machine Learning
(14)
Artificial Intelligence
(9)
Deep Learning
(8)
Learning Types Β· Machine Learning
(8)
Application Areas
(7)
Core AI
(7)
Learning Paradigms
(5)
Learning Types Β· Deep Learning
(5)
Data Science & Analytics
(3)
Core Methods
(3)
Methods
(3)
Computer Vision
(2)
Analysis
(2)
Models
(2)
Healthcare & Medicine
(1)
Keywords
contrastive learning
(3)
multimodal learning
(3)
multivariate time series
(2)
representation learning
(2)
missing value imputation
(2)
time series imputation
(2)
catastrophic forgetting
(1)
continual learning
(1)
differential privacy
(1)
few-shot learning
(1)
action recognition
(1)
domain generalization
(1)
transfer learning
(1)
video segmentation
(1)
prompt engineering
(1)
semi-supervised learning
(1)
direct preference optimization
(1)
preference learning
(1)
adversarial learning
(1)
optimal transport
(1)
Papers
DAPrompt: Dual Alignment Prompt of Structure and Semantics for Few-shot Graph Learning
AAAI 2026
DP-GenG: Differentially Private Dataset Distillation Guided by DP-Generated Data
AAAI 2026
LSHFed: Robust and Communication-Efficient Federated Learning with Locally-Sensitive Hashing Gradient Mapping
AAAI 2026
Rectifying the Emotional Flow: Aligning Priors and Dynamic Guidance for High-Arousal Text-to-Speech
ACL 2026
Scene-Aware Spatiotemporal Generalization: Towards Robust Temporal Action Detection Across Domains
AAAI 2026
TermGPT: Multi-Level Contrastive Fine-Tuning for Terminology Adaptation in Legal and Financial Domains
AAAI 2026
A Wander Through the Multimodal Landscape: Efficient Transfer Learning via Low-rank Sequence Multimodal Adapter
AAAI 2025
Bridging the Gap for Test-Time Multimodal Sentiment Analysis
AAAI 2025
Efficient Prompting for Continual Adaptation to Missing Modalities
NAACL 2025
General Incomplete Time Series Analysis via Patch Dropping Without Imputation
IJCAI 2025
HSCR: Hierarchical Self-Contrastive Rewarding for Aligning Medical Vision Language Models
ACL 2025
Implicit Counterfactual Learning for Audio-Visual Segmentation
ICCV 2025
MMNet: Missing-Aware and Memory-Enhanced Network for Multivariate Time Series Imputation
IJCAI 2025
TriSPrompt: A Hierarchical Soft Prompt Model for Multimodal Rumor Detection with Incomplete Modalities
EMNLP 2025
Jointly Imputing Multi-View Data with Optimal Transport
AAAI 2023
Generative Semi-supervised Learning for Multivariate Time Series Imputation
AAAI 2021