18 citations · 39 across the 5 of their papers we have counts for
7 papers
Generative Transformers for Design Concept Generation
Qihao Zhu, Jianxi Luo
Generating novel and useful concepts is essential during the early design stage to explore a large variety of design opportunities, which usually requires advanced design thinking…
Generative Pre-Trained Transformers for Biologically Inspired Design
Qihao Zhu, Xinyu Zhang, Jianxi Luo
Biological systems in nature have evolved for millions of years to adapt and survive the environment. Many features they developed can be inspirational and beneficial for solving t…
Generative Design Ideation: A Natural Language Generation Approach
Qihao Zhu, Jianxi Luo
This paper aims to explore a generative approach for knowledge-based design ideation by applying the latest pre-trained language models in artificial intelligence (AI). Specificall…
OCoR: An Overlapping-Aware Code Retriever
Qihao Zhu, Zeyu Sun, Xiran Liang +2
Code retrieval helps developers reuse the code snippet in the open-source projects. Given a natural language description, code retrieval aims to search for the most relevant code a…
NLocalSAT: Boosting Local Search with Solution Prediction
Wenjie Zhang, Zeyu Sun, Qihao Zhu +4
The Boolean satisfiability problem (SAT) is a famous NP-complete problem in computer science. An effective way for solving a satisfiable SAT problem is the stochastic local search…
TreeGen: A Tree-Based Transformer Architecture for Code Generation
Zeyu Sun, Qihao Zhu, Yingfei Xiong +3
A code generation system generates programming language code based on an input natural language description. State-of-the-art approaches rely on neural networks for code generation…