Yudong Zhang

18 papers · 2019–2026 · 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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🗺️ Taxonomy Completionist (49) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird

🗃️ Keyword Collector (94) 🌈 Renaissance Researcher (7) ⚡ Prolific Year · Productive 🚀 Conference Pioneer 💎 Century Club · Bronze 📈 Trend Setter

Venues

AAAI (7) CVPR (3) ACL (2) ICLR (2) EMNLP (1) ICCV (1) IJCAI (1) NAACL (1)

Top co-authors

Yang Wang (7) Xu Wang (6) Jiansheng Chen (5) Pengkun Wang (4) Zhanhui Kang (3) Xuan Yu (3) Xingwu Sun (3) Ruobing Xie (3) Xinlei Yu (3) Yu Wang (3)

Research topics

Machine Learning (13) Deep Learning (10) Learning Types · Machine Learning (9) Artificial Intelligence (8) Core AI (7) Learning Types · Deep Learning (6) Computer Vision (5) Application Areas (5) Models (5) Core Methods (3) Natural Language Processing (2) Analysis (2) Applications (2) Architectures (2) Domain-Specific (2)

Keywords

vision-language model (4) adversarial attack (4) representation learning (3) data augmentation (2) contrastive learning (2) few-shot learning (2) multimodal learning (2) flow matching (2) graph neural network (2) domain generalization (2) large language model (2) anomaly detection (1) multi-task learning (1) natural language processing (1) domain adaptation (1) transfer learning (1) semantic segmentation (1) weakly supervised learning (1) model security (1) graph representation learning (1)

Papers

AgentAsk: Multi-Agent Systems Need to Ask ACL 2026 LMGL-WD: LLM-Guided Multi-Task Graph Learning for Category-Level Warehouse Demand Prediction in E-Commerce AAAI 2026 Task-Oriented Data Synthesis and Control-Rectify Sampling for Remote Sensing Semantic Segmentation CVPR 2026 VisMem: Latent Vision Memory Unlocks Potential of Vision-Language Models CVPR 2026 Visual Document Understanding and Reasoning: A Multi-Agent Collaboration Framework with Agent-Wise Adaptive Test-Time Scaling CVPR 2026 COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation ICLR 2025 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 “The Blind Men and the Elephant” AAAI 2025 QAVA: Query-Agnostic Visual Attack to Large Vision-Language Models NAACL 2025 The Security Threat of Compressed Projectors in Large Vision-Language Models EMNLP 2025 Time-Frequency Disentanglement Boosted Pre-Training: A Universal Spatio-Temporal Modeling Framework IJCAI 2025 A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks AAAI 2024 Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning ICLR 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 Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially AAAI 2019