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Capturing Graphs with Hypo-Elliptic Diffusions


Speaker: Dr Darrick Lee, Oxford CIMDA Postdoctoral Researcher

Date: 14 February 2023 (Tue)

Time: 5:00 – 6:00 pm (HKT), 9:00 – 10:00 am (GMT)

An Efficient Randomized Algorithm for Computing the Approximate Tucker Decomposition


Speaker: Dr Maolin Che, Postdoctoral Fellow, CIMDA

Date: 28 February 2023 (Tue)

Time: 5:00 – 6:00 pm (HKT), 9:00 – 10:00 am (GMT)

Newton-MR Methods for Nonconvex Optimization


Speaker: Dr Yang Liu, Oxford CIMDA Postdoctoral Researcher & Postdoctoral Fellow, CUHK-Shenzhen

Date: 21 March 2023 (Tue)

Time: 5:00 – 6:00 pm (HKT), 9:00 – 10:00 am (GMT)

Superpixel Models for Image Analysis and Computer Vision


Speaker: Dr Chong Wu, Postdoctoral Fellow, CIMDA

Date: 18 April 2023 (Tue)

Time: 4:00 – 5:00 pm (HKT), 9:00 – 10:00 am (GMT)

Neural Controlled Differential Equations: the Log ODE Method


Speaker: Benjamin Walker, Oxford CIMDA Doctoral Student

Date: 10 May 2023 (Tue)

Time: 4:00 – 5:00 pm (HKT), 9:00 – 10:00 am (GMT)

Motion Capture Data Feature Extraction and Classification


Speaker: Dr Mehdi Memar Ardestani, Postdoctoral Fellow, CIMDA

Date: 23 May 2023 (Tue)

Time: 4:00 – 5:00 pm (HKT), 9:00 – 10:00 am (GMT)

Path Recovery from Signatures


Speaker: Dr Weixin Yang, DataSig Postdoctoral Researcher (Oxford)

Date: 6 June 2023 (Tue)

Time: 4:00 – 5:00 pm (HKT), 9:00 – 10:00 am (GMT)

On Efficient Human Token Identification for Pose Estimation


Speaker: Dr Hiu Tung Wong, Postdoctoral Fellow, CIMDA

Date: 27 June 2023 (Tue)

Time: 4:00 – 5:00 pm (HKT), 9:00 – 10:00 am (GMT)

Distilling Video Data to Useful Streams


Speaker: Prof. Mohamed Ibrahim, Assistant Professor, School of Geography, University of Leeds

Date: 11 July 2023 (Tue)

Time: 4:00 – 5:00 pm (HKT), 9:00 – 10:00 am (GMT)

Statistical Methods for Wearable Sensor Data Analysis in Population Studies


Speaker: Prof. Xinyue Li, Assistant Professor, Department of Biostatistics, CityU

Date: 5 September 2023 (Tue)

Time: 4:00 – 5:00 pm (HKT), 9:00 – 10:00 am (GMT)

Scalable Gaussian Process Regression with Quadrature-based Features


Speaker: Dr Paz Fink Shustin, Hooke Research Fellow in Data Science, Mathematical Institute, University of Oxford

Date: 19 September 2023 (Tue)

Time: 4:00 – 5:00 pm (HKT), 9:00 – 10:00 am (GMT)

A New Understanding on the Tensor Tucker Format: From Optimization to Bayesian Model


Speaker: Dr Xueke Tong, Postdoctoral Fellow, CIMDA

Date: 3 October 2023 (Tue)

Time: 4:00 – 5:00 pm (HKT), 9:00 – 10:00 am (GMT)

Data-driven Optimization via Mirror Descen


Speaker: Hong Ye Tan, PhD Student, Cantab Capital Institute, University of Cambridge

Date: 17 October 2023 (Tue)

Time: 4:00 – 5:00 pm (HKT), 9:00 – 10:00 am (GMT)

Diagnostics, Prognostics and Health Management with Deep Learning Technique


Speaker: Dr Zhe Wang, Postdoctoral Fellow, CIMDA

Date: 31 October 2023 (Tue)

Time: 5:00 – 6:00 pm (HKT), 9:00 – 10:00 am (GMT)

Economic Nowcasting with Signatures


Speaker: Dr Lingyi Yang, CIMDA & Alan Turing Institute Postdoctoral Fellow, University of Oxford

Date: 14 November 2023 (Tue)

Time: 5:00 – 6:00 pm (HKT), 9:00 – 10:00 am (GMT)

The Distributionally Robust Mean-Cvar Optimization for Weighted Traveling Repairman Problem with Depots Sharing and Diverse-Skilled Technicians (Cancelled)


Speaker: Dr Hanxiao Zhang, Postdoctoral Fellow, CIMDA

Date: 28 November 2023 (Tue)

Time: 5:00 – 6:00 pm (HKT), 9:00 – 10:00 am (GMT)

Using Neural CDEs to Capture Trends within Real-world Irregular Time Series


Speaker: Jad Mounayer, MSc Student, Mathematical Institute, University of Oxford (Funded by Roche)

Date: 12 December 2023 (Tue)

Time: 5:00 – 5:30 pm (HKT), 9:00 – 9:30 am (GMT)

Ordinal Classification in Machine Learning: A Case Study with Chronic Kidney Disease


Speaker: Vaibhav Mahajan, MSc Student, Mathematical Institute, University of Oxford (Funded by Roche)

Date: 12 December 2023 (Tue)

Time: 5:30 – 6:00 pm (HKT), 9:30 – 10:00 am (GMT)


Go to top
  • CIMDA/Oxford Seminars 2023

  • 14 Feb 2023
    Capturing Graphs with Hypo-Elliptic Diffusions

  • 28 Feb 2023
    An Efficient Randomized Algorithm for Computing the Approximate Tucker Decomposition

  • 21 Mar 2023
    Newton-MR Methods for Nonconvex Optimization

  • 18 Apr 2023
    Superpixel Models for Image Analysis and Computer Vision

  • 10 May 2023
    Neural Controlled Differential Equations: the Log ODE Method
  • 23 May 2023
    Motion Capture Data Feature Extraction and Classification

  • 6 Jun 2023
    Path Recovery from Signatures

  • 27 Jun 2023
    On Efficient Human Token Identification for Pose Estimation

  • 11 Jul 2023
    Distilling Video Data to Useful Streams

  • 5 Sep 2023
    Statistical Methods for Wearable Sensor Data Analysis in Population Studies
  • 19 Sep 2023
    Scalable Gaussian Process Regression with Quadrature-based Features

  • 3 Oct 2023
    A New Understanding on the Tensor Tucker Format: From Optimization to Bayesian Model

  • 17 Oct 2023
    Data-driven Optimization via Mirror Descent

  • 31 Oct 2023
    Diagnostics, Prognostics and Health Management with Deep Learning Technique
  • 14 Nov 2023
    Economic Nowcasting with Signatures

  • 28 Nov 2023
    The Distributionally Robust Mean-Cvar Optimization for Weighted Traveling Repairman Problem with Depots Sharing and Diverse-Skilled Technicians

  • 12 Dec 2023
    Using Neural CDEs to Capture Trends within Real-world Irregular Time Series

  • 12 Dec 2023
    Ordinal Classification in Machine Learning: A Case Study with Chronic Kidney Disease

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