Jiacheng Cen

5 papers · 2024–2025 · 4 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) ❓ The Questioner

Venues

ICML (2) ACL (1) ICLR (1) NeurIPS (1)

Top co-authors

Wenbing Huang (4) Yuxiang Ren (2) Zongzhao Li (2) Dailin Li (1) Jerry Zhang (1) Pei Zhang (1) Bing Su (1) Xiaohong Huang (1) Anyi Li (1) Dandan Li (1)

Research topics

Artificial Intelligence (4) Deep Learning (4) Machine Learning (4) Architectures (4) Core AI (4) Core Methods (2) Optimization & Theory (2) Natural Language Processing (1) Application Areas (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Resources & Methods (1)

Keywords

mathematical reasoning (1) message passing (1) maximum mean discrepancy (1) geometric graph neural network (1) molecular dynamics (1) equivariant graph neural network (1) high-degree representation (1) steerable vector (1) symmetric structure (1) n-body system (1) equivariant neural network (1) virtual node (1) 3d structure prediction (1) large language model (1) size generalization (1) n-body simulation (1) equivariant encoder (1) universal expressivity (1) scalarization trick (1) steerable representation (1)

Papers

Large Language-Geometry Model: When LLM meets Equivariance ICML 2025 Size-Generalizable RNA Structure Evaluation by Exploring Hierarchical Geometries ICLR 2025 STORM-BORN: A Challenging Mathematical Derivations Dataset Curated via a Human-in-the-Loop Multi-Agent Framework ACL 2025 Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks? NeurIPS 2024 Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning ICML 2024