1 citations · 1 across the 3 of their papers we have counts for
4 papers
End-to-End Multi-Modal Diffusion Mamba
Chunhao Lu, Qiang Lu, Meichen Dong +1
Current end-to-end multi-modal models utilize different encoders and decoders to process input and output information. This separation hinders the joint representation learning of…
Prove Symbolic Regression is NP-hard by Symbol Graph
Jinglu Song, Qiang Lu, Bozhou Tian +3
Symbolic regression (SR) is the task of discovering a symbolic expression that fits a given data set from the space of mathematical expressions. Despite the abundance of research s…
Taylor Genetic Programming for Symbolic Regression
Baihe He, Qiang Lu, Qingyun Yang +2
Genetic programming (GP) is a commonly used approach to solve symbolic regression (SR) problems. Compared with the machine learning or deep learning methods that depend on the pre-…
Exploring Hidden Semantics in Neural Networks with Symbolic Regression
Yuanzhen Luo, Qiang Lu, Xilei Hu +2
Many recent studies focus on developing mechanisms to explain the black-box behaviors of neural networks (NNs). However, little work has been done to extract the potential hidden s…