23 papers
Adaptive Protection for Evolutionary Feature Construction in Symbolic Regression with Application to Credit Classification
Hengzhe Zhang, Qi Chen, Bing Xue +3
Evolutionary feature construction has shown strong promise in symbolic regression by automatically discovering informative transformations of input features that enhance a simple b…
Benchmarking Zero-Shot LLM-Generated Parent Selection in Genetic Programming for Symbolic Regression
Hengzhe Zhang, Qi Chen, Bing Xue +2
Parent selection significantly affects exploration, exploitation, and complexity control in genetic programming (GP) for symbolic regression. It is unclear whether large language m…
Search Hardness-Aware LLM-Based Problem Formulation for Expensive Simulation-Driven Design
Yuchen Li, Handing Wang, Bing Xue +1
Expensive simulation-driven design is widely used in engineering to identify requirement-satisfying designs with as few high-fidelity simulations as possible. Most existing efforts…
Low-Cost Stereo Vision for Robust 3D Positioning of Thin Radiata Pine Branches in Autonomous Drone Pruning
Yida Lin, Bing Xue, Mengjie Zhang +2
Manual pruning of radiata pine, a species of major economic importance to New Zealand forestry, is hazardous, labour-intensive, and increasingly constrained by workforce shortages.…
EvoTSC: Evolving Feature Learning Models for Time Series Classification via Genetic Programming
Xuanhao Yang, Bing Xue, Mengjie Zhang
Time series classification is an important analytical task across diverse domains. However, its practical application is often hindered by the scarcity of labeled data and the requ…
Positioning radiata pine branches requiring pruning by drone stereo vision
Yida Lin, Bing Xue, Mengjie Zhang +2
This paper presents a stereo-vision-based system mounted on a drone for detecting and localising radiata pine branches to support autonomous pruning. The proposed pipeline comprise…