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Jiahua Rao

11 papers · 2021–2026 · 5 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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+5 more ↓ πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint
🀝 Dynamic Duo (10) 🌈 Renaissance Researcher (5) ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (54)

Venues

AAAI (4) CVPR (3) IJCAI (2) ICML (1) NeurIPS (1)

Top co-authors

Yuedong Yang (10) Jiancong Xie (5) Shuangjia Zheng (4) Wentao Wei (3) Hanjing Lin (2) Youhan Sun (2) Yicong Chen (1) Kangrui Du (1) Dahao Xu (1) Jixian Zhang (1)

Research topics

Deep Learning (7) Machine Learning (7) Artificial Intelligence (6) Core AI (5) Core Methods (5) Architectures (4) Healthcare & Medicine (2) Interdisciplinary (2) Learning Types (2) Models (2) Research (2) Science (2) Knowledge & Reasoning (1) Reinforcement Learning (1) Learning Paradigms (1)

Keywords

graph neural network (3) knowledge graph (2) molecular generation (2) graph representation (2) multimodal learning (2) diffusion model (2) molecular structure (2) contrastive learning (2) message passing (2) graph generation (1) state-of-the-art performance (1) representation learning (1) molecular graph (1) drug discovery (1) whole slide image (1) protein design (1) molecular representation (1) binding site prediction (1) protein language model (1) multi-agent reinforcement learning (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 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 Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction IJCAI 2022 TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction NeurIPS 2022 Learning Attributed Graph Representation with Communicative Message Passing Transformer IJCAI 2021