Yu Rong
49 papers · 2018–2026 · 10 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 (80) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Dynamic Duo
(21)
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Triple Crown
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Deep Specialist
(19)
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Topic Evolution
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Keyword Champion
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Keyword Pioneer
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Grand Slam
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Mega-Team Β· Squad
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Renaissance Researcher
(8)
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Unstoppable Β· Bronze
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Prolific Year Β· Prolific
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Century Club Β· Bronze
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Keyword Collector
(262)
Venues
Top co-authors
Research topics
Machine Learning
(34)
Deep Learning
(27)
Artificial Intelligence
(24)
Architectures
(21)
Core AI
(21)
Core Methods
(14)
Learning Types Β· Machine Learning
(14)
Application Areas
(10)
Learning Types Β· Deep Learning
(9)
Natural Language Processing
(8)
Computer Vision
(7)
Optimization & Theory
(7)
Resources & Methods
(6)
Analysis
(5)
Generation
(5)
Keywords
graph neural network
(14)
large language model
(6)
graph convolutional network
(5)
message passing
(5)
representation learning
(4)
reinforcement learning
(4)
transfer learning
(4)
molecular representation
(3)
drug discovery
(3)
adversarial robustness
(3)
node classification
(3)
mutual information
(3)
molecular dynamics
(3)
semantic segmentation
(2)
equivariant graph neural network
(2)
molecular graph
(2)
fourier transform
(2)
adversarial attack
(2)
unsupervised domain adaptation
(2)
chain-of-thought reasoning
(2)
Papers
Large-scale Codec Avatars: The Unreasonable Effectiveness of Large-scale Avatar Pretraining
CVPR 2026
STAR-R1: Multi-View Spatial TrAnsformation Reasoning by Reinforcing Multimodal LLMs
CVPR 2026
Understanding the Behaviors of Environment-aware Information Retrieval
ACL 2026
Analyzing LLMsβ Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations
ACL 2025
Atomas: Hierarchical Adaptive Alignment on Molecule-Text for Unified Molecule Understanding and Generation
ICLR 2025
Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents
EMNLP 2025
CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer
ICLR 2025
Disentangling Language and Culture for Evaluating Multilingual Large Language Models
ACL 2025
FineReason: Evaluating and Improving LLMsβ Deliberate Reasoning through Reflective Puzzle Solving
ACL 2025
GeoPQA: Bridging the Visual Perception Gap in MLLMs for Geometric Reasoning
EMNLP 2025
IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck
ICML 2025
InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization
ICLR 2025
Large Language-Geometry Model: When LLM meets Equivariance
ICML 2025
LUCAS: Layered Universal Codec Avatars
CVPR 2025
MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra
ICLR 2025
ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning
EMNLP 2025
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
ICLR 2024
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases
ICLR 2024
Be Selfish, But Wisely: Investigating the Impact of Agent Personality in Mixed-Motive Human-Agent Interactions
EMNLP 2023
Deep Insights into Noisy Pseudo Labeling on Graph Data
NeurIPS 2023
DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery β a Focus on Affinity Prediction Problems with Noise Annotations
AAAI 2023
Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs
AAAI 2023
Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics
NeurIPS 2023
Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax
AAAI 2023
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning
ICLR 2022
Equivariant Graph Hierarchy-Based Neural Networks
NeurIPS 2022
Equivariant Graph Mechanics Networks with Constraints
ICLR 2022
Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport
IJCAI 2022
Frustratingly Easy Transferability Estimation
ICML 2022
Local Augmentation for Graph Neural Networks
ICML 2022
Towards Diverse and Natural Scene-Aware 3D Human Motion Synthesis
CVPR 2022
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation
ICCV 2021
Graph Information Bottleneck for Subgraph Recognition
ICLR 2021
Hierarchical Graph Capsule Network
AAAI 2021
Learning Diverse-Structured Networks for Adversarial Robustness
ICML 2021
Not All Low-Pass Filters are Robust in Graph Convolutional Networks
NeurIPS 2021
On Self-Distilling Graph Neural Network
IJCAI 2021
A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models
AAAI 2020
Deep Multimodal Fusion by Channel Exchanging
NeurIPS 2020
Dirichlet Graph Variational Autoencoder
NeurIPS 2020
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
ICLR 2020
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks
AAAI 2020
Self-Supervised Graph Transformer on Large-Scale Molecular Data
NeurIPS 2020
Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild
ICCV 2019
Graph Convolutional Networks for Temporal Action Localization
ICCV 2019
Progressive Feature Alignment for Unsupervised Domain Adaptation
CVPR 2019
Adaptive Sampling Towards Fast Graph Representation Learning
NeurIPS 2018
Cross-language Perception of Mandarin Lexical Tones by Mongolian-speaking Bilinguals in the Inner Mongolia Autonomous Region, China
Interspeech 2018
Pose-Robust Face Recognition via Deep Residual Equivariant Mapping
CVPR 2018