1 citations · 1 across the 3 of their papers we have counts for
4 papers
LegoSR: A Unified Framework for Self-improving Agent-Guided Scientific Discovery
Hao Mao, Xu T. Liu, Peng Zhao +2
Equation discovery solvers often use different data interfaces, equation representations and evaluation criteria, making their results difficult to compare. We present LegoSR, a un…
Efficient Constant Optimization for Symbolic Regression with GPU-Accelerated Tree-Based Genetic Programming
Hao Mao, Xu Tony Liu, Shuai Lu +3
Constant optimization refines the numerical coefficients of candidate expressions in tree-based genetic programming for symbolic regression. But its per-generation cost has led mod…
Enabling Memory-efficient Im2win Convolution with Multi-precision Support on GPU CUDA and Tensor Cores
Xiang Fu, Jixiang Ma, Xinpeng Zhang +3
Convolution is a principal computational bottleneck in deep neural networks, and its efficiency depends on tight integration between algorithms and GPU hardware. Existing GPU convo…
High Performance Im2win and Direct Convolutions using Three Tensor Layouts on SIMD Architectures
Xiang Fu, Xinpeng Zhang, Jixiang Ma +3
Convolution is the core component within deep neural networks and it is computationally intensive and time consuming. Tensor data layouts significantly impact convolution operation…