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Wenjie Du

16 papers · 2024–2026 · 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.

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+4 more ↓ πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (32) 🌍 Conference Polyglot Β· Silver πŸ† Keyword Champion (4) πŸ† Grand Slam
πŸ—ƒοΈ Keyword Collector (80) ⚑ Prolific Year Β· Productive 🌈 Renaissance Researcher (6) πŸ’Ž Century Club Β· Bronze

Papers

Interleaved Tool-Call Reasoning for Protein Function Understanding ACL 2026 MSAnchor: De Novo Molecular Generation from Mass Spectrometry Data with Anchor-Extended Molecular Scaffolds AAAI 2026 SHAPE: Structure-aware Hierarchical Unsupervised Domain Adaptation with Plausibility Evaluation for Medical Image Segmentation CVPR 2026 Deep Learning for Multivariate Time Series Imputation: A Survey IJCAI 2025 DO-CoLM: Dynamic 3D Conformation Relationships Capture with Self-Adaptive Ordering Molecular Relational Modeling in Language Models IJCAI 2025 Electron Density-enhanced Molecular Geometry Learning IJCAI 2025 Enhancing Graph Invariant Learning from a Negative Inference Perspective ICML 2025 Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck ICLR 2025 MTGIB-UNet: A Multi-Task Graph Information Bottleneck and Uncertainty Weighted Network for ADMET Prediction IJCAI 2025 ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing ICLR 2025 Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement ACL 2025 AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases NeurIPS 2024 FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning NeurIPS 2024 MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction IJCAI 2024 MolTC: Towards Molecular Relational Modeling In Language Models ACL 2024 NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics NeurIPS 2024