← Authors

Yu Rong

46 papers · 2018–2025 · 10 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (10) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (10) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) 🐝 Cross-Pollinator (14) 🧭 Keyword Pioneer πŸƒ Academic Marathon (7) 🌟 Keyword Trendsetter Combo (3) 🀝 Dynamic Duo (21) πŸ”¬ Deep Specialist (12) 🧬 Topic Evolution πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ† Keyword Champion πŸ’Ž Century Club (46) πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (197) ⚑ Prolific Year (6)

Conferences

ICLR (10) NIPS (8) AAAI (6) ICML (5) CVPR (4) EMNLP (4) ACL (3) ICCV (3) IJCAI (2) INTERSPEECH (1)

Top co-authors

Junzhou Huang (21) Tingyang Xu (20) Wenbing Huang (14) Yatao Bian (8) Peilin Zhao (7) Deli Zhao (7) Jia Li (7) Yang Liu (6) Long-Kai Huang (5) Weiwen Xu (4)

Keywords

graph neural network (10) large language model (5) representation learning (4) transfer learning (4) graph convolutional network (4) adversarial robustness (3) message passing (3) multi-agent system (2) chain-of-thought reasoning (2) node classification (2) molecular representation (2) mutual information (2) reinforcement learning (2) unsupervised domain adaptation (2) adversarial attack (2) graph clustering (1) scene understanding (1) benchmark evaluation (1) visual perception (1) link prediction (1)

Papers

Large Language-Geometry Model: When LLM meets Equivariance ICML 2025
IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck ICML 2025
MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra ICLR 2025
FineReason: Evaluating and Improving LLMs’ Deliberate Reasoning through Reflective Puzzle Solving ACL 2025
Disentangling Language and Culture for Evaluating Multilingual Large Language Models ACL 2025
Analyzing LLMs’ Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations ACL 2025
InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization ICLR 2025
Atomas: Hierarchical Adaptive Alignment on Molecule-Text for Unified Molecule Understanding and Generation ICLR 2025
LUCAS: Layered Universal Codec Avatars CVPR 2025
ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning EMNLP 2025
Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents EMNLP 2025
GeoPQA: Bridging the Visual Perception Gap in MLLMs for Geometric Reasoning EMNLP 2025
CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer ICLR 2025
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases ICLR 2024
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel ICLR 2024
Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax AAAI 2023
Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics NIPS 2023
Deep Insights into Noisy Pseudo Labeling on Graph Data NIPS 2023
Be Selfish, But Wisely: Investigating the Impact of Agent Personality in Mixed-Motive Human-Agent Interactions EMNLP 2023
DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery – a Focus on Affinity Prediction Problems with Noise Annotations AAAI 2023
Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs AAAI 2023
Local Augmentation for Graph Neural Networks ICML 2022
Frustratingly Easy Transferability Estimation ICML 2022
Towards Diverse and Natural Scene-Aware 3D Human Motion Synthesis CVPR 2022
Equivariant Graph Mechanics Networks with Constraints ICLR 2022
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning ICLR 2022
Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport IJCAI 2022
Equivariant Graph Hierarchy-Based Neural Networks NIPS 2022
Hierarchical Graph Capsule Network AAAI 2021
Not All Low-Pass Filters are Robust in Graph Convolutional Networks NIPS 2021
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation ICCV 2021
Graph Information Bottleneck for Subgraph Recognition ICLR 2021
Learning Diverse-Structured Networks for Adversarial Robustness ICML 2021
On Self-Distilling Graph Neural Network IJCAI 2021
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks AAAI 2020
Self-Supervised Graph Transformer on Large-Scale Molecular Data NIPS 2020
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification ICLR 2020
Dirichlet Graph Variational Autoencoder NIPS 2020
Deep Multimodal Fusion by Channel Exchanging NIPS 2020
A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models AAAI 2020
Graph Convolutional Networks for Temporal Action Localization ICCV 2019
Progressive Feature Alignment for Unsupervised Domain Adaptation CVPR 2019
Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild ICCV 2019
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
Adaptive Sampling Towards Fast Graph Representation Learning NIPS 2018