Yusheng Zhao
10 papers · 2024–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Gold 🗺️ Taxonomy Completionist (31) 🌍 Conference Polyglot · Silver 👥 Mega-Team · Squad 🗃️ Keyword Collector (61)
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Prolific Year · Productive
🌈
Renaissance Researcher
(7)
💎
Century Club · Bronze
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Research topics
Artificial Intelligence
(8)
Core AI
(7)
Deep Learning
(6)
Machine Learning
(6)
Architectures
(4)
Application Areas
(3)
Learning Paradigms
(3)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(3)
Natural Language Processing
(2)
Resources & Methods
(2)
Computer Science
(1)
Computer Vision
(1)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Keywords
graph neural network
(4)
multimodal large language model
(2)
domain shift
(2)
large language model
(2)
test-time adaptation
(2)
attention mechanism
(1)
entropy minimization
(1)
few-shot learning
(1)
safety alignment
(1)
deep learning
(1)
hierarchical representation
(1)
machine learning
(1)
distribution shift
(1)
hierarchical structure
(1)
domain adaptation
(1)
mesh representation
(1)
zero-shot generalization
(1)
large multimodal model
(1)
randomization test
(1)
multimodal learning
(1)
Papers
When Safe Unimodal Inputs Collide: Optimizing Reasoning Chains for Cross-Modal Safety in Multimodal Large Language Models
AAAI 2026
A Survey of RAG-Reasoning Systems in Large Language Models
EMNLP 2025
Attention Bootstrapping for Multi-Modal Test-Time Adaptation
AAAI 2025
Embracing Large Language Models in Traffic Flow Forecasting
ACL 2025
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation
NAACL 2025
Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness
EMNLP 2025
Rethink the Role of Deep Learning towards Large-scale Quantum Systems
ICML 2025
Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes
ICML 2025
TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs
AAAI 2025
EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics
NeurIPS 2024