薛潇｜中国科学技术大学｜学者主页

2026

Uni-Flow: a unified autoregressive-diffusion model for complex multiscale flows

Xiao Xue, Tianyue Yang, Mingyang Gao, Leyu Pan, Maida Wang, Kewei Zhu, Shuo Wang, Jiuling Li, Marco F. P. ten Eikelder, Peter V. Coveney

arXiv preprint

2026

Explainable quantum-compressed machine learning for complex fluid flows

Xiao Xue, Maida Wang, Mingyang Gao, Minh Chung, Peter V. Coveney

arXiv preprint

2026

A New Probe of Dark Matter Subhalos: Stellar Aberration with TESS

Matthias Daniel, Xiao Xue, Kris Pardo, Laura Sagunski

arXiv preprint

2026

Controllable interaction between photons and distant spins via vacuum Rabi oscillations

Xiao Xue, Jurgen Dijkema, Tobias Bonsen, Patrick Harvey-Collard, Maximilian Rimbach-Russ, Sander L. de Snoo, Guoji Zheng, Amir Sammak, Giordano Scappucci, Lieven M. K. Vandersypen

arXiv preprint

2026

The MeerKAT Thousand-Pulsar Polarisation Array II: Searches for Ultralight Axion-Like Dark Matter

Zi-Yan Yuwen, Michael Sarkis, Yin-Zhe Ma, Tao Liu, Jing Ren, Patrick Weltevrede, Xiao Xue

arXiv preprint

2026

Accelerating Redshift-Conditioned Galaxy Image Synthesis with One-step Generative Modeling

Tianyue Yang, Sandro Tacchella, Xiao Xue

arXiv preprint

2026

Population statistics of nanohertz gravitational wave sources

Jiming Yu, Zhen Pan, Xiao Xue, Liang Dai

arXiv preprint

2026

The MeerKAT Thousand-Pulsar Polarization Array I: Properties of the Polarization and Rotation Measure Time Series Data

Michael Sarkis, Zi-Yan Yuwen, Yin-Zhe Ma, Tao Liu, Jing Ren, Patrick Weltevrede, Xiao Xue

arXiv preprint

2026

Autoregressive One-Step Generative Modeling for Dynamical System Forecasting

Tianyue Yang, Xiao Xue

arXiv preprint

2026

MENO: MeanFlow-Enhanced Neural Operators for Dynamical Systems

Tianyue Yang, Xiao Xue

arXiv preprint

2026

Synchronizing Spectral and Interference Criticalities at an Exceptional Point

Zeng-Zhao Li, Xiao Xue

arXiv preprint

2026

Reduced Subgrid-Scale Terms for Turbulence Simulations with the Lattice Boltzmann Method

Rik Hoekstra, Xiao Xue, Peter V. Coveney, Wouter Edeling

arXiv preprint

2026

Quantum Statistical Memory Advantage Reveals Predictive Structure in Chaotic Invariant Measures

Maida Wang, Xiao Xue, Minh Chung, Peter V. Coveney

arXiv preprint

2026

GUEST: Gravitational Universe Exploration with Satellite Tracking. A passive satellite laser-ranging mission for the dark gravitational Universe

Diego Blas, Aurélien Hees, F. Javier Atapuerca, Giada Bargiacchi, Massimo Bassan, Joshua N. Benabou, Bruno Bertrand, Adrien Bourgoin, Clare Burrage, Nicolò Burzillà, Alfonso Caldiero, Roberto Campagnola, Andrea Caputo, Ana Caramete, Laurentiu Caramete, Joan Manel Casalta Escuer, Julien Chabé, Gabriel Chiritoi, Marco Cinelli, Florin-Ioan Constantin, Neil J. Cornish, Clément Courde, Simone Dell'Agnello, Alessandro Di Marco, Sebastian Ellis, Malcolm Fairbairn, Ariadna Farrés, Joshua W. Foster, Silvia Gasparotto, Marta Goli, Yann Gouttenoire, Michael Häfner, Antonio J. Iovino, Maria-Catalina Isfan, Justin Janquart, Alexander C. Jenkins, Jean-Paul Kneib, Sébastien Le Maistre, David Lucchesi, Marco Lucente, Angus Macdonald, Jorge Martín Camalich, Rosa Martínez Rubiella, Josep J. Masdemont, Ilia Musco, Toshimichi Otsubo, Cristóbal Padilla, Fco. Rogelio Palomo Pinto, Alice Paun, Alice Perego, Roberto Peron, Florentina-Crenguta Pislan, Florin Adrian Popescu, Luca Porcelli, Nanda Rea, Rafael Rebolo, Marco Reyes, Ignasi Ribas, José C. Rodríguez, Pascal Rosenblatt, Albert Roura, Soumen Roy, Mariano Sánchez Nogales, Francesco Santoli, Feliciana Sapio, Anja Schlicht, Ulrich Schreiber, Angela Serrano, Daniel Serrano Lombillo, Alberto Sesana, Carlos F. Sopuerta, Krzysztof Sośnica, Nicola Tamanini, Elisa Todarello, Sokratis Trifinopoulos, Miguel Vanvlasselaer, Dario Vetrano, Massimo Visco, Hanxi Wang, Xiao Xue, Miguel Zumalacárregui

arXiv preprint

2026

On the Reliability of AI Methods in Drug Discovery: Evaluation of Boltz-2 for Structure and Binding Affinity Prediction

Shunzhou Wan, Xibei Zhang, Xiao Xue, Peter V. Coveney

arXiv preprint

2026

Physical Fidelity Reconstruction via Improved Consistency-Distilled Flow Matching for Dynamical Systems

Sicheng Ma, Tianyue Yang, Xiuzhe Wu, Xiao Xue

arXiv preprint

2025

Equivariant U-Shaped Neural Operators for the Cahn-Hilliard Phase-Field Model

Xiao Xue, Marco F. P. ten Eikelder, Tianyue Yang, Yiqing Li, Kan He, Shuo Wang, Peter V. Coveney

arXiv preprint

2025

Discovering $μ$Hz gravitational waves and ultra-light dark matter with binary resonances

Joshua W. Foster, Diego Blas, Adrien Bourgoin, Aurelien Hees, Míriam Herrero-Valea, Alexander C. Jenkins, Xiao Xue

arXiv preprint

2025

Fast-Forward Lattice Boltzmann: Learning Kinetic Behaviour with Physics-Informed Neural Operators

Xiao Xue, Marco F. P. ten Eikelder, Mingyang Gao, Xiaoyuan Cheng, Yiming Yang, Yi He, Shuo Wang, Sibo Cheng, Yukun Hu, Peter V. Coveney

arXiv preprint

2025

An Uncertainty Visualization Framework for Large-Scale Cardiovascular Flow Simulations: A Case Study on Aortic Stenosis

Xiao Xue, Tushar M. Athawale, Jon W. S. McCullough, Sharp C. Y. Lo, Ioannis Zacharoudiou, Balint Joo, Antigoni Georgiadou, Peter V. Coveney

arXiv preprint

2025

The SKAO Pulsar Timing Array

Ryan M. Shannon, N. D. Ramesh Bhat, Aurelien Chalumeau, Siyuan Chen, H. Thankful Cromartie, A. Gopukumar, Kathrin Grunthal, Jeffrey S. Hazboun, Francesco Iraci, Bhal Chandra Joshi, Ryo Kato, Michael J. Keith, Kejia Lee, Kuo Liu, Hannah Middleton, Matthew T. Miles, Chiara M. F. Mingarelli, Aditya Parthasarathy, Daniel J. Reardon, Golam M. Shaifullah, Keitaro Takahashi, Caterina Tiburzi, Riccardo J. Truant, Xiao Xue, Andrew Zic, The SKAO Pulsar Science Working Group

arXiv preprint

2025

Quantum Coulomb drag signatures of Majorana bound states

Zi-Wei Li, Jiaojiao Chen, Wei Xiong, Xiao Xue, Zeng-Zhao Li

arXiv preprint

精选作品

期刊论文

Computational Experiments

Rationality Meets Irrationality: Incentivizing Dual Cognitive Loop for LLM-Based Agent in Social Simulation

Are Agents Listening to Each Other? Measuring What Drives Agent Actions in LLM‐Based Multi‐Agent Systems

Ai and social sciences: new AI, new studies, and new social sciences

Parallel Experiments: From The Human Participated to A Virtual-Real Hybrid Paradigm

Federated Experiments: Generative Causal Inference Powered by LLM-Based Agents Simulation and RAG-Based Domain Docking

Computational Experiments for Complex Social Systems: Integrated Design of Experiment System

Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation

Computational Experiments: A New Analysis Method for Cyber-Physical-Social Systems

Expression of Concern for: Sora for Intelligent Vehicles: A Step From Constraint-Based Simulation to Artificiofactual Experiments Through Dynamic Visualization

A Hierarchical Model for Complex Adaptive System: From Adaptive Agent to AI Society

Sora for Computational Social Systems: From Counterfactual Experiments to Artificiofactual Experiments With Parallel Intelligence

Computational Experiments for Complex Social Systems—Part III: The Docking of Domain Models

Digital CEOs in Digital Enterprises: Automating, Augmenting, and Parallel in Metaverse/CPSS/TAOs

Sora for Intelligent Vehicles: A Step From Constraint-Based Simulation to Artificiofactual Experiments Through Dynamic Visualization

A self-evolving network-based artificial society model for the experiment analysis of complex social system

A Sustainable Ecology of Mobility: DAO-Based Autonomous Vehicular Services

The Ethical Evaluation Method of Algorithmic Behavior Based on Computational Experiments

ChatGPT Chats on Computational Experiments: From Interactive Intelligence to Imaginative Intelligence for Design of Artificial Societies and Optimization of Foundational Models

Computational Experiments for Complex Social Systems—Part II: The Evaluation of Computational Models

Computational Experiments for Complex Social Systems—Part I: The Customization of Computational Model

预印本

Uni-Flow: a unified autoregressive-diffusion model for complex multiscale flows

Explainable quantum-compressed machine learning for complex fluid flows

A New Probe of Dark Matter Subhalos: Stellar Aberration with TESS

Controllable interaction between photons and distant spins via vacuum Rabi oscillations

The MeerKAT Thousand-Pulsar Polarisation Array II: Searches for Ultralight Axion-Like Dark Matter

Accelerating Redshift-Conditioned Galaxy Image Synthesis with One-step Generative Modeling

Population statistics of nanohertz gravitational wave sources

The MeerKAT Thousand-Pulsar Polarization Array I: Properties of the Polarization and Rotation Measure Time Series Data

Autoregressive One-Step Generative Modeling for Dynamical System Forecasting

MENO: MeanFlow-Enhanced Neural Operators for Dynamical Systems

Synchronizing Spectral and Interference Criticalities at an Exceptional Point

Reduced Subgrid-Scale Terms for Turbulence Simulations with the Lattice Boltzmann Method

Quantum Statistical Memory Advantage Reveals Predictive Structure in Chaotic Invariant Measures

GUEST: Gravitational Universe Exploration with Satellite Tracking. A passive satellite laser-ranging mission for the dark gravitational Universe

On the Reliability of AI Methods in Drug Discovery: Evaluation of Boltz-2 for Structure and Binding Affinity Prediction

Physical Fidelity Reconstruction via Improved Consistency-Distilled Flow Matching for Dynamical Systems

Equivariant U-Shaped Neural Operators for the Cahn-Hilliard Phase-Field Model

Discovering $μ$Hz gravitational waves and ultra-light dark matter with binary resonances

Fast-Forward Lattice Boltzmann: Learning Kinetic Behaviour with Physics-Informed Neural Operators

An Uncertainty Visualization Framework for Large-Scale Cardiovascular Flow Simulations: A Case Study on Aortic Stenosis

The SKAO Pulsar Timing Array

Quantum Coulomb drag signatures of Majorana bound states

Quantum-Informed Machine Learning for Predicting Spatiotemporal Chaos with Practical Quantum Advantage

Binary systems as gravitational wave detectors

Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction

Machine learning for modelling unstructured grid data in computational physics: a review

Prospects for gravitational wave and ultra-light dark matter detection with binary resonances beyond the secular approximation

Probing Fundamental Constant Oscillation in the Galactic Center with S-Star Spectroscopy

Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation

Learning Chaos In A Linear Way

Probing Ultralight Axion-like Dark Matter: A Pulsar Timing Arrays-Pulsar Polarization Arrays Synergy

Physics informed data-driven near-wall modelling for lattice Boltzmann simulation of high Reynolds number turbulent flows

Non-Gaussian Statistics of Nanohertz Stochastic Gravitational Waves

Near-Term Spin-Qubit Architecture Design via Multipartite Maximally-Entangled States

Dark Photon Dark Matter and Low-Frequency Gravitational Wave Detection with Gaia-like Astrometry

Inference on inner galaxy structure via gravitational waves from supermassive binaries

Pulsar Polarization Array Limits on Ultralight Axion-like Dark Matter

A Multi-Component, Multi-Physics Computational Model for Solving Coupled Cardiac Electromechanics and Vascular Haemodynamics

Identifying the Quadrupolar Nature of Gravitational Wave Background through Space-based Missions

Dissecting the Stochastic Gravitational Wave Background with Astrometry

Synthetic turbulence generator for the wall-modeled LES lattice Boltzmann method

Two-qubit logic between distant spins in silicon

A SWAP Gate for Spin Qubits in Silicon

Fundamental Physics Opportunities with the Next-Generation Event Horizon Telescope

Modeling and Experimental Validation of the Intrinsic SNR in Spin Qubit Gate-Based Readout and Its Impacts on Readout Electronics

Black Holes as Fermion Factories

Near-wall approximations to speed up simulations for atmosphere boundary layers in the presence of forests using lattice Boltzmann method on GPU

Synthetic turbulence generator for lattice Boltzmann method at the interface between RANS and LES

Adiabatically compressed wave dark matter halo and intermediate-mass ratio inspirals

Nonlinear response and crosstalk of electrically driven silicon spin qubits

Photon Ring Astrometry for Superradiant Clouds

Simple framework for systematic high-fidelity gate operations

Birefringence Tomography for Axion Cloud

Earth Shielding and Daily Modulation from Electrophilic Boosted Dark Particles

High-precision search for dark photon dark matter with the Parkes Pulsar Timing Array

Computing with spin qubits at the surface code error threshold