Yudong Zhang
16 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (9) π Interdisciplinary Bridge π Conference Polyglot (8) π Academic Marathon (6) πΊοΈ Taxonomy Completionist (39)
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Hot Topic Early Bird
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Conference Polyglot
(8)
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Academic Marathon
(6)
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Conference Pioneer
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Century Club
(14)
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Prolific Year
(7)
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Trend Setter
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Keyword Collector
(71)
Conferences
AAAI (7)
ACL (2)
ICLR (2)
EMNLP (1)
ICCV (1)
IJCAI (1)
IJCNLP (1)
NAACL (1)
Top co-authors
Keywords
adversarial attack
(4)
representation learning
(3)
domain generalization
(2)
social media analysis
(2)
suicide risk assessment
(2)
contrastive learning
(2)
weakly-supervised learning
(2)
vision-language model
(2)
large language model
(2)
graph neural network
(2)
mental health
(2)
graph learning
(1)
image generation
(1)
visual question answering
(1)
natural language processing
(1)
anomaly detection
(1)
few-shot learning
(1)
domain adaptation
(1)
transfer learning
(1)
multi-task learning
(1)
Papers
LMGL-WD: LLM-Guided Multi-Task Graph Learning for Category-Level Warehouse Demand Prediction in E-Commerce
AAAI 2026
AgentAsk: Multi-Agent Systems Need to Ask
ACL 2026
DADet: Safeguarding Image Conditional Diffusion Models against Adversarial and Backdoor Attacks via Diffusion Anomaly Detection
ICCV 2025
Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting
AAAI 2025
Enhancing Contrastive Learning Inspired by the Philosophy of βThe Blind Men and the Elephantβ
AAAI 2025
The Security Threat of Compressed Projectors in Large Vision-Language Models
EMNLP 2025
COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation
ICLR 2025
Time-Frequency Disentanglement Boosted Pre-Training: A Universal Spatio-Temporal Modeling Framework
IJCAI 2025
QAVA: Query-Agnostic Visual Attack to Large Vision-Language Models
NAACL 2025
Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning
ICLR 2024
A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks
AAAI 2024
Step Vulnerability Guided Mean Fluctuation Adversarial Attack against Conditional Diffusion Models
AAAI 2024
Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective
AAAI 2024
Weakly-Supervised Methods for Suicide Risk Assessment: Role of Related Domains
ACL 2021
Weakly-Supervised Methods for Suicide Risk Assessment: Role of Related Domains
IJCNLP 2021
Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially
AAAI 2019