Urban segregation: Going beyond residential neighbourhoods [Slides]
Pint of Science Oxford, May 2024.
Learning to infer structures of network games [Slides]
AI+Math Colloquia, Shanghai Jiao Tong University, August 2023.
Data-driven urban science [Slides]
Department of Electronic Engineering, Tsinghua University, July 2023.
On the stability of spectral graph filters and beyond [Slides]
DEGAS webinar series, December 2023.
Madrid Meetup of the Learning on Graphs Conference, URJC, November 2023.
Minisymposium on Mathematics of Geometric Deep Learning, ICIAM, August 2023.
Department of Systems Engineering and Engineering Management, CUHK, August 2023.
Wangxuan institute of computer technology, Peking University, July 2023.
Department of Computer Science and Technology, Tsinghua University, July 2023.
On the stability of spectral graph filters and beyond
DeepMind/ELLIS CSML Seminar Series, UCL, November 2022.
Workshop on Machine Learning and Signal Processing on Graphs, CIRM, November 2022.
Institute for Digital Communications, The University of Edinburgh, May 2022.
AI+Math Colloquia, Shanghai Jiao Tong University, May 2022.
Data-driven urban science
Research Showcase, 34th Jenkin Lecture, Department of Engineering Science, University of Oxford, September 2021.
Recent advances in learning with graphs
ABCP Annual Conference, July 2021.
Graph signal processing for machine learning [Slides1] [Slides2] [Slides3]
IEEE ICASSP Tutorial, June 2021.
Recent advances in learning with graphs [Slides]
Clarkson Center for Complex Systems Science, Clarkson University, March 2021.
Learning quadratic games on networks
Department of Computer Science, University of Bath, July 2020.
Segregated interactions in urban and online space
Human Dynamics Group, MIT Media Lab, July 2020.
How can data engineers fight a virus? [Link]
Choral Contemplation, Somerville College, University of Oxford, May 2020.
Urban segregation: Going beyond residential neighbourhoods
SCR/MCR/JCR Symposium, Somerville College, University of Oxford, February 2020.
Urban segregation in behaviour
Network Economics Reading Group, Department of Economics, University of Oxford, February 2020.
Recent advances in learning with graphs
Machine Learning Research Group, Department of Engineering Science, University of Oxford, February 2020.
Learning quadratic games on networks
Department of Computer Science, University of Surrey, Guildford, UK, January 2020.
Network-based learning for understanding collective human behaviour
Network Science in Financial Services Workshop, The Alan Turing Institute, London, UK, December 2019.
Learning quadratic games on networks
Network Economics Reading Group, Department of Economics, University of Oxford, Oxford, UK, November 2019.
Urban segregation in behaviour: A data-driven approach
Institute for Analytical Sociology, Norrköping, Sweden, September 2019.
Learning graphs from data: A signal processing perspective
Twitter UK, London, UK, September 2019.
Urban segregation in behaviour: A data-driven approach
School of Economics and Resource Management, Beijing Normal University, Zhuhai, China, July 2019.
Signal processing and machine learning on graphs
Oxford Summer School in Economic Networks, Oxford, UK, June 2019.
Network-based learning for understanding collective human behaviour
Summer Institute in Computational Social Science, Oxford, UK, June 2019.
Urban segregation in behaviour: A data-driven approach
Trinity 2019 Seminar Series, Oxford Institute of Population Ageing, University of Oxford, Oxford, UK, June 2019.
Urban segregation in behaviour: A data-driven approach
Mathematical Institute, University of Oxford, Oxford, UK, June 2019.
Learning quadratic games on networks
Power of Graphs Workshop, UCL, London, UK, June 2019.
Learning graphs from data: A signal processing perspective
OxCSML Seminar, Department of Statistics, University of Oxford, Oxford, UK, May 2019.
Graph signal processing: Concepts, tools and applications in neuroscience
NISOx, Big Data Institute, University of Oxford, Oxford, UK, February 2019.
Learning quadratic games on networks
TADS Seminar, The Alan Turing Institute, London, UK, January 2019.
Learning graphs from data: A signal processing perspective
London Machine Learning Meetup, London, UK, July 2018.
Learning graphs for games on networks
Signal Processing Laboratory (LTS4), EPFL, Lausanne, Switzerland, June 2018.
Understanding individual and collective decision-making
School of Economics and Resource Management, Beijing Normal University, Beijing, China, May 2018.
Graph signal processing: Concepts, tools and applications
Man AHL, London, UK, December 2017.
Topology inference from data: A graph signal processing perspective
Oxford-Man Institute Machine Learning Workshop, Oxford, UK, November 2017.
Graph signal processing: Concepts, tools and applications
AIMS CDT Programme, University of Oxford, Oxford, UK, October 2017.
Living Labs: Large-scale experimental systems for testing new technologies and strategies
Internet and Mobile Computing Lab, Hong Kong Polytechnic University, Hong Kong, China, July 2017.
Living Labs: Large-scale experimental systems for testing new technologies and strategies
School of Economics and Resource Management, Beijing Normal University, Beijing, China, July 2017.
Social bridges in urban purchase behavior [Slides]
Beaver Works Center, MIT Lincoln Laboratory, Cambridge, MA, USA, June 2017.
Learning graphs from data: A signal processing perspective [Slides]
Graph Signal Processing Workshop, Carnegie Mellon University, Pittsburgh, PA, USA, May 2017.
Effect of direct and indirect communication on human decision-making
Sabanci School of Management, Sabanci University, Istanbul, Turkey, April 2017.
Behavioral segregation in virtual and physical space
Bell Labs Cambridge, Cambridge, UK, April 2017.
Behavioral segregation in virtual and physical space
Data Science Institute, Imperial College London, London, UK, April 2017.
Effect of direct and indirect communication on human decision-making
Signal Processing Laboratory (LTS4), EPFL, Lausanne, Switzerland, April 2017.
Understanding purchase behaviour using bank transaction data
Changing Places Group, MIT Media Lab, Cambridge, MA, USA, April 2016.
Measuring social repercussions of events using bank transaction data
Scalable Cooperation Group, MIT Media Lab, Cambridge, MA, USA, March 2016.
Measuring social repercussions of events using bank transaction data
Mobile and Social Computing Lab, Fondazione Bruno Kessler, Trento, Italy, September 2015.
Graph signal processing: Tools and mobility inference applications
The Porter School for Environmental Studies, Tel Aviv University, Tel Aviv, Israel, April 2015.