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1st UTS SHU Virtual Global Forum on Machine Intelligence

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Description

A full day research forum with 12 excellent presentations (6 leading researchers from University of Technology System (UTS) and 6 leading researchers from Shanghai university (SHU) for the 1st UTS SHU Joint Virtual Global Forum on Machine Intelligence.

 List of speakers are below:

  • Distinguished Professor Jie Lu (UTS) - UTS-SHU Machine Intelligence Joint Research Lab Co-Director
  • Distinguished Professor CT Lin (UTS) - Brain Computer Interface in Human-Autonomy Teaming
  • Professor Shugong Xu (SHU) - Recent Advances in Machine Vision from GREAT@SHU
  • Dr Yunchao Wei (UTS) - Data-efficient Image & Video Segmentation
  • Professor Xiaqiang Ren (SHU) - Resilient Information Fusion under Sparse Attack
  • Associate Professor Haiyan (Helen) Lu (UTS) - Optimal Dispatch of Electrical Vehicle and PV power to Improve the Power Quality of an Unbalanced Distribution Grid
  • Professor Hang Shi (SHU) - Obstacle avoidance path planning and motion control for planer soft gripper
  • Associate Professor Jinchen (JC) Ji (UTS) - Fault Diagnosis of Reciprocating Compressor using Convolutional Deep Belief Network
  • Dr Shan Cao (SHU) - Efficient Processing of Convolutional Neural Networks: Simulator, Accelerator and System
  • Associate Professor Maolin Huang (UTS) - Design infographics/visual icons for social networks by referencing to the design concept of ancient Oracle Bone characters
  • Dr Xinzhi Wang (SHU) - Can Deep Learning Models Reflect and Change Ideas Like Humans?
  • Professor Ivor Tsang (UTS) - Imitation Learning from One-life Demonstration
  • Professor Xiangfeng Luo (SHU) - Mining and Learning of the Event Evolution Graph

Event is held via zoom meeting, connection details will be emailed once registered including the title and abstract of the presentation with the short BIO of the speakers.

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