Ziyang Liu
11 papers · 2019–2026 · 5 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· Gold π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (27)
π₯
Mega-Team Β· Squad
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(63)
π
Conference Pioneer
π
Renaissance Researcher
(7)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(8)
Core Methods
(8)
Learning Types Β· Machine Learning
(5)
Learning Types Β· Deep Learning
(4)
Models
(4)
Data Science & Analytics
(3)
Applications Β· Data Science & Analytics
(3)
Architectures
(3)
Computer Vision
(2)
Natural Language Processing
(2)
Application Areas
(2)
Applications Β· Natural Language Processing
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Keywords
conditional diffusion
(2)
graph contrastive learning
(2)
diffusion model
(2)
robotic manipulation
(1)
self-supervised learning
(1)
knowledge distillation
(1)
text mining
(1)
text-to-image generation
(1)
community detection
(1)
markov decision process
(1)
hierarchical framework
(1)
markov random field
(1)
uncertainty estimation
(1)
disentangled representation
(1)
feature fusion
(1)
information retrieval
(1)
recommendation system
(1)
self-supervised pretraining
(1)
temporal knowledge graph
(1)
video prediction
(1)
Papers
H-GAR: A Hierarchical Interaction Framework via Goal-Driven Observation-Action Refinement for Robotic Manipulation
AAAI 2026
mmJEPA-ECG: Cross-Posture Robust Contactless Electrocardiogram Monitoring via Millimeter Wave Radar Sensing
AAAI 2026
UMNet: Uncertainty-guided Memory Network for Hyperspectral Pansharpening
AAAI 2026
LAGCL4Rec: When LLMs Activate Interactions Potential in Graph Contrastive Learning for Recommendation
EMNLP 2025
Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion
AAAI 2025
MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation
CVPR 2025
TeRDy: Temporal Relation Dynamics through Frequency Decomposition for Temporal Knowledge Graph Completion
ACL 2025
Graph Contrastive Learning with Reinforcement Augmentation
IJCAI 2024
Knowledge Distillation based Contextual Relevance Matching for E-commerce Product Search
EMNLP 2022
CORD-19: The COVID-19 Open Research Dataset
ACL 2020
Graph Convolutional Networks Meet Markov Random Fields: Semi-Supervised Community Detection in Attribute Networks
AAAI 2019