activity
20232026
most citedEnhancing Solutions for Complex PDEs: Introducing Complementary Convolution and Equivariant Attention in Fourier Neural Operators

2 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

S3C-LLM: Skill-Code Guided Agentic Language Models for Spectrum-to-Structure Elucidation

Xuanle Zhao, Xinyuan Cai, Xiang Cheng +1

Spectroscopic structure elucidation is central to molecular analysis, but recent Large Language Model (LLM)-based methods mostly formulate it as direct spectrum-to-SMILES generatio…

cs.CL2026

ChemVLR: Prioritizing Reasoning in Perception for Chemical Vision-Language Understanding

Xuanle Zhao, Xinyuan Cai, Xiang Cheng +2

While Vision-Language Models (VLMs) have demonstrated significant potential in chemical visual understanding, current models are predominantly optimized for direct visual question-…

cs.CV2024

Adaptive Runge-Kutta Dynamics for Spatiotemporal Prediction

Xuanle Zhao, Yue Sun, Ziyi Wang +2

Spatiotemporal prediction is important in solving natural problems and processing video frames, especially in weather forecasting and human action recognition. Recent advances atte…

cs.ET2023★ 1 cited

Neuromorphic Incremental on-chip Learning with Hebbian Weight Consolidation

Zifan Ning, Chaojin Chen, Xiang Cheng +3

As next-generation implantable brain-machine interfaces become pervasive on edge device, incrementally learning new tasks in bio-plasticity ways is urgently demanded for Neuromorph…

cs.LG2023★ 2 cited

Enhancing Solutions for Complex PDEs: Introducing Complementary Convolution and Equivariant Attention in Fourier Neural Operators

Xuanle Zhao, Yue Sun, Tielin Zhang +1

Neural operators improve conventional neural networks by expanding their capabilities of functional mappings between different function spaces to solve partial differential equatio…