Ben Gao

Orcid: 0009-0005-1173-5795

According to our database1, Ben Gao authored at least 26 papers between 2012 and 2026.

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Timeline

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Bibliography

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

Nondegenerate and degenerate soliton solutions and their dynamics in two-component complex coupled integrable dispersionless equations.
Math. Comput. Simul., 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

Conformal Online Learning of Deep Koopman Linear Embeddings.
CoRR, November, 2025

Chem-R: Learning to Reason as a Chemist.
CoRR, October, 2025

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

ChemBOMAS: Accelerated BO in Chemistry with LLM-Enhanced Multi-Agent System.
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

MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search.
CoRR, May, 2025

ResearchBench: Benchmarking LLMs in Scientific Discovery via Inspiration-Based Task Decomposition.
CoRR, March, 2025

Bilinear Bäcklund transformation and soliton solutions to a (3+1)-dimensional coupled nonlinear Schrödinger equation with variable coefficients in optical fibers.
Math. Comput. Simul., 2025

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

MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Using Signatures and Koopman Operator to Learn Non-linear Dynamics.
Proceedings of the Geometric Science of Information - 7th International Conference, 2025

2024
Time topological analysis of EEG using signature theory.
CoRR, 2024

2023
Simulation and Experimental Research of Thermal Power Plant Pipeline Displacement via Deep Learning Algorithms.
IEEE Trans. Instrum. Meas., 2023

Leveraging the Power of Signatures for the Construction of Topological Complexes for the Analysis of Multivariate Complex Dynamics.
Proceedings of the Complex Networks & Their Applications XII, 2023

2020
Exact Solutions and Conservation Laws of the (3 + 1)-Dimensional B-Type Kadomstev-Petviashvili (BKP)-Boussinesq Equation.
Symmetry, 2020

Dynamical User Intention Prediction via Multi-modal Learning.
Proceedings of the Database Systems for Advanced Applications, 2020

2017
User Personalized Satisfaction Prediction via Multiple Instance Deep Learning.
Proceedings of the 26th International Conference on World Wide Web, 2017

Link Prediction via Ranking Metric Dual-Level Attention Network Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
User Personalized Satisfaction Prediction via Multiple Instance Deep Learning.
CoRR, 2016

2014
Type-II hidden symmetry and nonlinear self-adjointness of Boiti-Leon-Pempinelli equation.
Commun. Nonlinear Sci. Numer. Simul., 2014

2012
Finding the topology of implicitly defined two algebraic plane curves.
J. Syst. Sci. Complex., 2012


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