Yu Rong

47 papers · 2018–2026 · 10 conferences · across top CS/AI conferences

Achievements

+14 more ↓

🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (13) 🏃 Academic Marathon (7)

🐝 Cross-Pollinator (14) 🧭 Keyword Pioneer 🏃 Academic Marathon (7) 🌟 Keyword Trendsetter Combo (3) 🤝 Dynamic Duo (21) 🔬 Deep Specialist (12) 🧬 Topic Evolution 👑 Triple Crown 🏆 Grand Slam 🏆 Keyword Champion 💎 Century Club (46) 🔥 Unstoppable (8) 🗃️ Keyword Collector (197) ⚡ Prolific Year (6)

Conferences

ICLR (10) NIPS (8) AAAI (6) ICML (5) ACL (4) CVPR (4) EMNLP (4) 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) transfer learning (4) representation learning (4) graph convolutional network (4) adversarial robustness (3) message passing (3) reinforcement learning (3) multi-agent system (2) node classification (2) molecular representation (2) mutual information (2) chain-of-thought reasoning (2) unsupervised domain adaptation (2) adversarial attack (2) graph clustering (1) scene understanding (1) benchmark evaluation (1) visual perception (1) link prediction (1)

Papers

Understanding the Behaviors of Environment-aware Information Retrieval ACL 2026 Large Language-Geometry Model: When LLM meets Equivariance ICML 2025 IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck ICML 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 MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra ICLR 2025 InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization 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 Atomas: Hierarchical Adaptive Alignment on Molecule-Text for Unified Molecule Understanding and Generation ICLR 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 Frustratingly Easy Transferability Estimation ICML 2022 Towards Diverse and Natural Scene-Aware 3D Human Motion Synthesis CVPR 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 Mechanics Networks with Constraints ICLR 2022 Equivariant Graph Hierarchy-Based Neural Networks NIPS 2022 Local Augmentation for Graph Neural Networks ICML 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