Yu Song

13 papers · 2005–2026 · 9 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

Jump to papers ↓

+7 more ↓

🗺️ Taxonomy Completionist (30) 🏃 Academic Marathon · Ultra 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🏆 Keyword Champion (3) 🧬 Topic Evolution 📈 Trend Setter 🚀 Conference Pioneer 🌈 Renaissance Researcher (5) 💎 Century Club · Bronze 🗃️ Keyword Collector (52)

Venues

EMNLP (3) AAAI (2) ACL (2) COLING (1) ICCV (1) IJCAI (1) MICCAI (1) NAACL (1) NeurIPS (1)

Top co-authors

Santiago Miret (3) Bang Liu (3) Kyungduk Kim (2) Yen-Wei Chen (2) Bingheng Li (2) Jingzhe Liu (2) Hui LIU (2) Gary Geunbae Lee (2) Huan Zhang (2) Hao Sun (2)

Research topics

Machine Learning (7) Artificial Intelligence (5) Core AI (5) Deep Learning (3) Natural Language Processing (3) Learning Types (3) Computer Vision (2) Interdisciplinary (2) Applications (2) Core Methods (2) Models (2) Optimization & Theory (2) Resources & Methods (2) Science (2) Techniques (2)

Keywords

materials science (3) domain adaptation (2) large language model (2) graph neural network (2) scene understanding (1) feature selection (1) convex optimization (1) graph representation (1) text classification (1) knowledge base (1) mutual information (1) multiple kernel learning (1) generative model (1) support vector machine (1) foundation model (1) named entity recognition (1) language model (1) generative adversarial network (1) tool use (1) state space model (1)

Papers

Learning the Latent Structure: A Feature-Centric Approach to Graph Data Augmentation AAAI 2026 MIRTH: Mutual-Information Reasoning with Temporal Hubs for Vision-Language-Action Agents ACL 2026 CaDRL: Document-level Relation Extraction via Context-aware Differentiable Rule Learning COLING 2025 Mamba-CAD: State Space Model for 3D Computer-Aided Design Generative Modeling AAAI 2025 HoneyComb: A Flexible LLM-Based Agent System for Materials Science EMNLP 2024 LGA: A Language Guide Adapter for Advancing the SAM Model’s Capabilities in Medical Image Segmentation MICCAI 2024 Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights NeurIPS 2024 HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science EMNLP 2023 MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling ACL 2023 Globally Optimal and Efficient Manhattan Frame Estimation by Delimiting Rotation Search Space ICCV 2021 Multiple Indefinite Kernel Learning for Feature Selection IJCAI 2017 MMR-based Active Machine Learning for Bio Named Entity Recognition NAACL 2006 POSBIOTM/W: A Development Workbench for Machine Learning Oriented Biomedical Text Mining System EMNLP 2005