Search Results for author: Na Zhu

Found 5 papers, 3 papers with code

FGeo-HyperGNet: Geometric Problem Solving Integrating Formal Symbolic System and Hypergraph Neural Network

1 code implementation18 Feb 2024 Xiaokai Zhang, Na Zhu, Cheng Qin, Yang Li, Zhenbing Zeng, Tuo Leng

The symbolic part is a formal system built on FormalGeo, which can automatically perform geomertic relational reasoning and algebraic calculations and organize the solving process into a solution hypertree with conditions as hypernodes and theorems as hyperedges.

Geometry Problem Solving Relational Reasoning

FGeo-DRL: Deductive Reasoning for Geometric Problems through Deep Reinforcement Learning

1 code implementation14 Feb 2024 Jia Zou, Xiaokai Zhang, Yiming He, Na Zhu, Tuo Leng

We built a neural-symbolic system, called FGeoDRL, to automatically perform human-like geometric deductive reasoning.

Language Modelling reinforcement-learning

FGeo-TP: A Language Model-Enhanced Solver for Geometry Problems

no code implementations14 Feb 2024 Yiming He, Jia Zou, Xiaokai Zhang, Na Zhu, Tuo Leng

The application of contemporary artificial intelligence techniques to address geometric problems and automated deductive proof has always been a grand challenge to the interdiscipline field of mathematics and artificial Intelligence.

Language Modelling

On Mining IoT Data for Evaluating the Operation of Public Educational Buildings

no code implementations20 Jun 2019 Na Zhu, Aris Anagnostopoulos, Ioannis Chatzigiannakis

Public educational systems operate thousands of buildings with vastly different characteristics in terms of size, age, location, construction, thermal behavior and user communities.

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