Kuo Yang
15 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 (37) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π Grand Slam
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Topic Evolution
π₯
Mega-Team Β· Squad
ποΈ
Keyword Collector
(79)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
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Renaissance Researcher
(5)
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Century Club Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(10)
Machine Learning
(10)
Core AI
(9)
Deep Learning
(7)
Application Areas
(5)
Architectures
(3)
Core Methods
(3)
Learning Types Β· Machine Learning
(3)
Learning Types Β· Deep Learning
(3)
Models
(3)
Learning Paradigms
(2)
Optimization & Theory
(2)
Data Science & Analytics
(1)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Keywords
large language model
(3)
dynamic graph
(3)
continual learning
(2)
vision-language model
(2)
foundation model
(2)
multimodal learning
(2)
catastrophic forgetting
(2)
graph neural network
(2)
few-shot learning
(1)
speech synthesis
(1)
semi-supervised learning
(1)
chain-of-thought reasoning
(1)
speech processing
(1)
knowledge transfer
(1)
self-supervised learning
(1)
link prediction
(1)
model safety
(1)
cross-modal transfer
(1)
prompt learning
(1)
curriculum learning
(1)
Papers
AgentAsk: Multi-Agent Systems Need to Ask
ACL 2026
Revealing the Seen, Imagining the Beyond: A Survey of Image-Grounded Chain-of-Thought Reasoning in Multimodal LLMs
ACL 2026
EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions
CVPR 2025
Enhancing Graph Invariant Learning from a Negative Inference Perspective
ICML 2025
KGCRR: An Effective Metric-Driven Knowledge Graph Completion Framework by Designing a Novel Upper Bound Function with Adaptive Approximation to Reciprocal Rank
AAAI 2025
Representation Potentials of Foundation Models for Multimodal Alignment: A Survey
EMNLP 2025
Revealing Concept Shift in Spatio-Temporal Graphs via State Learning
IJCAI 2025
SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation
ICML 2025
TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting
ICML 2025
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis
ICLR 2024
Improving Generalization of Dynamic Graph Learning via Environment Prompt
NeurIPS 2024
LeRet: Language-Empowered Retentive Network for Time Series Forecasting
IJCAI 2024
GReTo: Remedying dynamic graph topology-task discordance via target homophily
ICLR 2023
Memory Replay with Data Compression for Continual Learning
ICLR 2022
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning
CVPR 2021