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Yuedong Yang

19 papers · 2020–2026 · 7 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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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (37) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Gold 🐣 Hot Topic Early Bird
πŸ‘‘ Triple Crown πŸ† Grand Slam 🀝 Dynamic Duo (10) 🌈 Renaissance Researcher (8) ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (97) πŸ”₯ Unstoppable Β· Bronze

Venues

CVPR (6) AAAI (5) IJCAI (3) ICML (2) CoRL (1) ICLR (1) NeurIPS (1)

Top co-authors

Jiahua Rao (10) Radu Marculescu (6) Shuangjia Zheng (5) Jiancong Xie (5) Guihong Li (4) Wentao Wei (3) Sijie Mai (2) Hanjing Lin (2) Kartikeya Bhardwaj (2) Youhan Sun (2)

Research topics

Machine Learning (14) Deep Learning (12) Artificial Intelligence (9) Core AI (8) Architectures (7) Core Methods (7) Application Areas (5) Optimization & Theory Β· Machine Learning (5) Healthcare & Medicine (4) Techniques (4) Research (3) Computer Vision (2) Models (2) Optimization & Theory Β· Deep Learning (2) Interdisciplinary (1)

Keywords

graph neural network (4) model compression (3) message passing (3) multimodal learning (2) diffusion model (2) graph representation (2) molecular generation (2) molecular graph (2) representation learning (2) knowledge graph (2) contrastive learning (1) knowledge distillation (1) question answering (1) weakly supervised learning (1) multi-agent reinforcement learning (1) deep reinforcement learning (1) attention mechanism (1) model adaptation (1) medical imaging (1) neural architecture search (1)

Papers

Advancing Protein Design via Multi-Agent Reinforcement Learning with Pareto-Based Collaborative Optimization AAAI 2026 Deciphering Genotype-Phenotype Mechanisms from High-Content Profiling via Knowledge-Guided Multi-modal Graph Learning CVPR 2026 De Novo Molecular Generation from Mass Spectra via Many-Body Enhanced Diffusion AAAI 2026 Fuel Gauge: Estimating Chain-of-Thought Length Ahead of Time in Large Multimodal Models CVPR 2026 Informative Subgraph Extraction with Deep Reinforcement Learning for Drug-Drug Interaction Prediction AAAI 2026 Predicting Spatial Transcriptomics from Histology Images via High-Order Multi-Cell Interaction Modeling CVPR 2026 Advancing Retrosynthesis with Retrieval-Augmented Graph Generation AAAI 2025 Multi-modal Contrastive Learning with Negative Sampling Calibration for Phenotypic Drug Discovery CVPR 2025 Quadruple Attention in Many-body Systems for Accurate Molecular Property Predictions ICML 2025 Instance-level Expert Knowledge and Aggregate Discriminative Attention for Radiology Report Generation CVPR 2024 Efficient Low-rank Backpropagation for Vision Transformer Adaptation NeurIPS 2023 Efficient On-Device Training via Gradient Filtering CVPR 2023 TIPS: Topologically Important Path Sampling for Anytime Neural Networks ICML 2023 ZiCo: Zero-shot NAS via inverse Coefficient of Variation on Gradients ICLR 2023 Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction IJCAI 2022 Anytime Depth Estimation with Limited Sensing and Computation Capabilities on Mobile Devices CoRL 2021 Communicative Message Passing for Inductive Relation Reasoning AAAI 2021 Learning Attributed Graph Representation with Communicative Message Passing Transformer IJCAI 2021 Communicative Representation Learning on Attributed Molecular Graphs IJCAI 2020