Jiaqing Xie

Orcid: 0000-0001-7634-4457

According to our database1, Jiaqing Xie authored at least 23 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
PolyReal: A Benchmark for Real-World Polymer Science Workflows.
CoRR, April, 2026

NMRTrans: Structure Elucidation from Experimental NMR Spectra via Set Transformers.
CoRR, February, 2026

NMRGym: A Comprehensive Benchmark for Nuclear Magnetic Resonance Based Molecular Structure Elucidation.
CoRR, January, 2026

A Magnetic Capsule for Navigation and Multitargeted Sampling in the Gastrointestinal Tract.
IEEE Trans. Robotics, 2026

Benchmarking Positional Encodings for GNNs and Graph Transformers.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Deep Research Arena: The First Exam of LLMs' Research Abilities via Seminar-Grounded Tasks.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
MolAct: An Agentic RL Framework for Molecular Editing and Property Optimization.
CoRR, December, 2025

R<sup>2</sup>Seg: Training-Free OOD Medical Tumor Segmentation via Anatomical Reasoning and Statistical Rejection.
CoRR, November, 2025

A Comparative Analysis of Sparse Autoencoder and Activation Difference in Language Model Steering.
CoRR, October, 2025

MolSpectLLM: A Molecular Foundation Model Bridging Spectroscopy, Molecule Elucidation, and 3D Structure Generation.
CoRR, September, 2025

DeepResearch Arena: The First Exam of LLMs' Research Abilities via Seminar-Grounded Tasks.
CoRR, September, 2025

SpectrumWorld: Artificial Intelligence Foundation for Spectroscopy.
CoRR, August, 2025

QCBench: Evaluating Large Language Models on Domain-Specific Quantitative Chemistry.
J. Chem. Inf. Model., 2025

DeepProtein: deep learning library and benchmark for protein sequence learning.
Bioinform., 2025

2024
DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning.
CoRR, 2024

ReLExS: Reinforcement Learning Explanations for Stackelberg No-Regret Learners.
CoRR, 2024

Could Chemical LLMs benefit from Message Passing.
CoRR, 2024

2023
CADA-GAN: Context-Aware GAN with Data Augmentation.
CoRR, 2023

Graph Structure Learning via Lottery Hypothesis at Scale.
Proceedings of the Asian Conference on Machine Learning, 2023

2021
Study on Design and Additive Manufacturing of Customized Bionic Sports Sole for the Elderly.
IEEE Access, 2021

Study on the Preparation and Test of Hydrodynamic Focusing Microfluidic Chip Fabricated by Liquid Crystal Display Mask Photo-Curing Method.
IEEE Access, 2021

Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

2020
Variational Autoencoder for Anti-Cancer Drug Response Prediction.
CoRR, 2020


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