Hanlin Sun

PhD candidate in Applied Mathematics

Queen Mary University of London

Biography

Hanlin is a final year Ph.D. student at Queen Mary University of London, working on network theory. His research focuses on several aspects of dynamic processes on networks and other structures with higher-order interactions, such as simplicial complexes and hypergraphs, under the supervision of Prof. Ginestra Bianconi. His current Ph.D. project aims to understand the critical properties of standard and higher-order percolation on networks and hypergraphs respectively, and how network topologies and geometries affect the robustness and other critical behaviors.

Before joining Queen Mary, Hanlin studied physics at the University of Chinese Academy of Sciences, China (BSc). During his undergraduate study, he worked on the inference and optimization on multiple interacting spreading processes on networks under the supervisor of Prof. David Saad, Aston University, and low-rank approximation algorithms on tensor networks under the supervisor of Prof. Pan Zhang, Institute of Theoretical Physics, Chinese Academy of Sciences.

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Interests

Percolation theory
Message-passing algorithm
Hypergraphs and simplicial complexes
Epidemic spreading
Statistical Physics
Inference and Optimization on networks
Multilayer networks

Education

PhD in Applied Mathematics, 2023
Queen Mary University of London, UK
BSc in Physics, 2019
University of Chinese Academy of Sciences, China
Visiting student, 2018
KTH Royal Institute of Technology, Sweden
Visiting student, 2018
Aston University, UK

Experience

PhD researcher

Queen Mary University of London

Sep 2019 – Present London, United Kingdom

PhD in Applied Mathematics. Study percolation on networks and higher-order structures under the supervision of Prof. Ginestra Bianconi.

Visiting student

Aston University

Jul 2018 – Aug 2018 Birmingham, United Kingdom

Study the inference and optimization on multiple interacting spreading processes under the supervision of Prof. David Saad.

Visiting student

KTH Royal Institute of Technology

Jan 2018 – Jun 2018 Stockholm, Sweden

Course project on Parallel Computing, Artificial Neural Networks and Deep Learning.

Visiting student

Institute of Theoretical Physics, Chinese Academy of Sciences

Jun 2017 – Jan 2018 Beijing, China

Study low-rank approximation algorithms on tensor networks under the supervision of Prof. Pan Zhang.

BSc in Physics

University of Chinese Academy of Sciences

Sep 2015 – Jul 2019 Beijing, China

Activities

Teaching

I have been a Teaching Associate at Queen Mary University of London for the following course:

Vectors and Matrices, Level 4 module, Jan 2023-Apr 2023
Calculus II, Level 4 module, Jan 2023-Apr 2023
Calculus I, Level 4 module, Sep 2022-Dec 2022
Calculus I, Level 4 module, Sep 2021-Dec 2021
Machine Learning with Python, Level 7 module, Jun 2021-Aug 2021
Calculus II, Level 4 module, Jan 2021-Apr 2021
Calculus I, Level 4 module, Sep 2020-Dec 2020
Linear Algebra I, Level 5 module, Sep 2022-Dec 2022
Vectors and Matrices, Level 4 module, Jan 2020-Apr 2020

I have been a Graduate Teaching Assistant at King’s College London for the following course:

Calculus II, Level 4 module, Jan 2023-Apr 2023
Theory of Complex Networks, Level 7 module, Sep 2022-Dec 2022
Linear Algebra and Geometry II, Level 5 module, Jan 2022-Apr 2022
Calculus I, Level 4 module, Sep 2021-Dec 2021

Conferences, Schools and Events

I have been an organiser of the following events:

NetPLACE @ Netsci
- Two panel discussions at NetSci2023 on some common concerns about academic writing and mental health.
DERI PhD forum
- A seminar at the Digital Environment Research Institute, Queen Mary University of London
NetPLACE
- A seminar of Network, Phd Life And ComplExity

I have given contributed and invited talks on the following conferences:

2022 NetSci 2023 (Vienna, Austria)
- Contributed talk. Title:The dynamic nature of percolation on networks with triadic interactions
2022 Conference on Complex Systems 2022 (Palma de Mallorca, Spain)
- Contributed talk. Title:Triadic interactions induce blinking and chaos in connectivity of higher-order networks
2022 IMA Conference on The Mathematical Challenges of Big Data (Oxford, United Kingdom)
- Contributed talk. Title: A message-passing approach to epidemic tracing and mitigation with apps
2022 Satellite @ NetSci2022: Signed Networks and their Applications (Online)
- Invited talk. Title:Triadic interactions induce blinking and chaos in connectivity of higher-order networks
2022 Satellite @ NetSci2022: Higher-order Topology & Dynamics in Complex Networks (Online)
- Contributed talk. Title: Higher-order percolation processes on multiplex hypergraphs
2021 Conference on Complex System 2021 (Lyon, France)
- Contributed talk. Title: Higher-order percolation processes on multiplex hypergraphs
2021 Satellite @ NetSci 2021: TopoNet2021 (Online)
- Contributed talk. Title: A message-passing approach to epidemic tracing and mitigation with apps
2021 The 46th Conference of the Middle European Cooperation in Statistical Physics (Online)
- Contributed talk. Title: A message-passing approach to epidemic tracing and mitigation with apps
2020 Conference on Complex Systems 2020 (Online)
- Contributed talk. Title: A message-passing approach to epidemic tracing and mitigation with apps

I have also given talks on other internal seminars:

2023 NetPLACE seminar
- Invited talk. Title: A message-passing approach to epidemic tracing and mitigation with apps
2023 Networks and Time Workshop, Queen Mary University of London
- Contributed talk. Title: Triadic interactions induce blinking and chaos in connectivity of higher-order networks
2022 Complex Systems Seminar, Queen Mary University of London
- Invited talk. Title: Mathematics in epidemic spreading: from containment measures to critical behaviours
2022 Postgraduate Research Day 2022, Queen Mary University of London
- Talk. Title:Triadic interactions induce blinking and chaos in connectivity of higher-order networks
2022 Internal seminar at Aston University
- Invited talk. Title: Mathematics in epidemic spreading: from containment measures to critical behaviours
2021 Postgraduate Research Day 2021, Queen Mary University of London
- Poster presentation. Title: A message-passing approach to epidemic tracing and mitigation with apps
2020 Queen Mary Internal Postgraduate Seminar (QuIPS)
- Invited talk. Title: A message-passing approach to epidemic tracing and mitigation with apps

Scholarships and Grants

2022 Small Grant, The Institute of Mathematics and its application, £600
2022 Student Grants, Conference on Complex Systems 2022, Fee waiver (equivalently €340)
2022 Research Support Funding, QMUL, £1000
2021 Travel Grant Complex Systems & Networks Group, QMUL, £700
2020 Travel Grant Complex Systems & Networks Group, QMUL, £300

Awards and Achievements

2022 Outstanding Teaching Assistant (Nomination), King’s College London
2021 Press coverage, Competition and collaboration: Understanding interacting epidemics can unlock better disease forecasts, Los Alamos National Laboratory
2021 Press coverage,Competition and Collaboration: Understanding Interacting Epidemics Can Unlock Better Disease Forecasts, Discover Magazine

Referee and editorial activities

I have been a reviewer for the following journals: Physica A: Statistical Mechanics and its Applications, Communication Physics, Scientific Reports, New Journal of Physics, IEEE Transactions on Network Science and Engineering, Bioinformatics, Chaos Solitons and Fractals, Journal of Physics A: Mathematical and Theoretical, Chaos: An Interdisciplinary journal of Nonlinear Science

Now I serve as a Guest Editor Assistant of the Special Issue “Models, Topology and Inference of Multilayer and Higher-Order Networks” in Entropy.

Featured Publications

Hanlin Sun, Filippo Radicchi, Juergen Kurths, Ginestra Bianconi

March, 2023 In Nat Commun

The dynamic nature of percolation on networks with triadic interactions

Percolation establishes the connectivity of complex networks and is one of the most fundamental critical phenomena for the study of complex systems. On simple networks, percolation displays a second-order phase transition; on multiplex networks, the percolation transition can become discontinuous. However, little is known about percolation in networks with higher-order interactions. Here, we show that percolation can be turned into a fully fledged dynamical process when higher-order interactions are taken into account. By introducing signed triadic interactions, in which a node can regulate the interactions between two other nodes, we define triadic percolation. We uncover that in this paradigmatic model the connectivity of the network changes in time and that the order parameter undergoes a period doubling and a route to chaos. We provide a general theory for triadic percolation which accurately predicts the full phase diagram on random graphs as confirmed by extensive numerical simulations. We find that triadic percolation on real network topologies reveals a similar phenomenology. These results radically change our understanding of percolation and may be used to study complex systems in which the functional connectivity is changing in time dynamically and in a non-trivial way, such as in neural and climate networks.

Guillaume St-Onge, Hanlin Sun, Antonie Allard, Laurent Hébert-Dufresne, Ginestra Bianconi

August, 2021 In Phys. Rev. Lett

Universal nonlinear infection kernel from heterogeneous exposure on higher-order networks

The collocation of individuals in different environments is an important prerequisite for exposure to infectious diseases on a social network. Standard epidemic models fail to capture the potential complexity of this scenario by (1) neglecting the higher-order structure of contacts that typically occur through environments like workplaces, restaurants, and households, and (2) assuming a linear relationship between the exposure to infected contacts and the risk of infection. Here, we leverage a hypergraph model to embrace the heterogeneity of environments and the heterogeneity of individual participation in these environments. We find that combining heterogeneous exposure with the concept of minimal infective dose induces a universal nonlinear relationship between infected contacts and infection risk. Under nonlinear infection kernels, conventional epidemic wisdom breaks down with the emergence of discontinuous transitions, superexponential spread, and hysteresis.

Ginestra Bianconi, Hanlin Sun, Giacomo Rapisardi, Alex Arenas

February, 2021 In Phys. Rev. Res

Message-passing approach to epidemic tracing and mitigation with apps

With the hit of new pandemic threats, scientific frameworks are needed to understand the unfolding of the epidemic. The use of mobile apps that are able to trace contacts is of utmost importance in order to control new infected cases and contain further propagation. Here we present a theoretical approach using both percolation and message-passing techniques, to the role of contact tracing, in mitigating an epidemic wave. We show how the increase of the app adoption level raises the value of the epidemic threshold, which is eventually maximized when high-degree nodes are preferentially targeted. Analytical results are compared with extensive Monte Carlo simulations showing good agreement for both homogeneous and heterogeneous networks. These results are important to quantify the level of adoption needed for contact-tracing apps to be effective in mitigating an epidemic.

Hanlin Sun, David Saad, Andrey Y. Lokhov

January, 2021 In Phys. Rev. X

Competition, Collaboration, and Optimization in Multiple Interacting Spreading Processes

Competition and collaboration are at the heart of multiagent probabilistic spreading processes. The battle for public opinion and competitive marketing campaigns are typical examples of the former, while the joint spread of multiple diseases such as HIV and tuberculosis demonstrates the latter. These spreads are influenced by the underlying network topology, the infection rates between network constituents, recovery rates, and, equally important, the interactions between the spreading processes themselves. Here, for the first time, we derive dynamic message-passing equations that provide an exact description of the dynamics of two, interacting, unidirectional spreading processes on tree graphs, and we develop systematic low-complexity models that predict the spread on general graphs. We also develop a theoretical framework for the optimal control of interacting spreading processes through optimized resource allocation under budget constraints and within a finite time window. Derived algorithms can be used to maximize the desired spread in the presence of a rival competitive process and to limit the spread through vaccination in the case of coupled infectious diseases. We demonstrate the efficacy of the framework and optimization method on both synthetic and real-world networks.

Publications

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Hanlin Sun, Filippo Radicchi, Juergen Kurths, Ginestra Bianconi (2023). The dynamic nature of percolation on networks with triadic interactions. In Nat Commun.

Cite Code DOI arxiv

Hanlin Sun, Ivan Kryven, Ginestra Bianconi (2022). Critical time-dependent branching process modelling epidemic spreading with containment measures. In J. Phys. A.

Cite DOI arxiv

Guillaume St-Onge, Hanlin Sun, Antonie Allard, Laurent Hébert-Dufresne, Ginestra Bianconi (2021). Universal nonlinear infection kernel from heterogeneous exposure on higher-order networks. In Phys. Rev. Lett.

Cite DOI arxiv

Hanlin Sun, Ginestra Bianconi (2021). Higher-order percolation processes on multiplex hypergraphs. In Phys. Rev. E.

Cite DOI arxiv

Ginestra Bianconi, Hanlin Sun, Giacomo Rapisardi, Alex Arenas (2021). Message-passing approach to epidemic tracing and mitigation with apps. In Phys. Rev. Res.

Cite DOI arxiv

Hanlin Sun, David Saad, Andrey Y. Lokhov (2021). Competition, Collaboration, and Optimization in Multiple Interacting Spreading Processes. In Phys. Rev. X.

Cite DOI arxiv

Hanlin Sun, Robert M. Ziff, Ginestra Bianconi (2020). Renormalization group theory of percolation on pseudofractal simplicial and cell complexes. In Phys. Rev. E.

Cite DOI arxiv