2 citations · 2 across the 4 of their papers we have counts for
7 papers
Deep Divide-and-Reduce in Symbolic Regression
Yusong Deng, Yanjie Li, Weijun Li
Symbolic regression (SR) is the task of discovering underlying patterns from data and representing them using mathematical expressions. Current machine learning approaches to SR of…
CatalyticMLLM: A Graph-Text Multimodal Large Language Model for Catalytic Materials
Yanjie Li, Jian Xu, Xu-Yao Zhang +4
Property prediction and inverse structural design of catalytic materials are typically modeled as two independent tasks: the former predicts target properties from given structures…
GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing
Yanjie Li, Liping Zhang, Min Wu +6
Mathematical formulas serve as a language through which humans communicate with nature. Discovering mathematical laws from scientific data to describe natural phenomena has been a…
ChatSR: Multimodal Large Language Models for Scientific Formula Discovery
Yanjie Li, Lina Yu, Weijun Li +6
Current multimodal large language models (MLLMs) are mainly focused on the understanding and processing of perceptual modalities such as images and videos, while their capability f…
QE-Catalytic: A Graph-Language Multimodal Base Model for Relaxed-Energy Prediction in Catalytic Adsorption
Yanjie Li, Jian Xu, Xueqing Chen +4
Adsorption energy is a key descriptor of catalytic reactivity. It is fundamentally defined as the difference between the relaxed total energy of the adsorbate-surface system and th…
Closed-form Solutions: A New Perspective on Solving Differential Equations
Shu Wei, Yanjie Li, Lina Yu +8
The quest for analytical solutions to differential equations has traditionally been constrained by the need for extensive mathematical expertise. Machine learning methods like gene…