[Amdnl] [CFP] IJCNN 2023 Special Session - Human-in-the-loop Algorithms and System Designs

[Juyang Weng]

Dear Dr. Joni Zhong,
I just leased your post at AMDNL, since the subject is related to the list.
I have a serious question for you that is linked to research ethics.
You wrote: "the `human-in-the-loop' refers to the active integration of
human inputs with different physiological inputs, such as BCI."
This would lead to computer assisted human learning, instead of
"skull-closed" machine development that my group proposed and has been
working on.
More severely, I allege here that your skull-open approach leads to the
"Deep Learning" Misconduct in my following paper:

arXiv:2211.16350 <https://arxiv.org/abs/2211.16350>

If you test your skull-open machine, is it a test on human-machine in
combination?   It is not machine learning at all.  For example, the human
knows the test set!

Yours humbly,
-John
Juyang Weng
Brain-Mind Institute

On Wed, Jan 18, 2023 at 11:52 AM Joni Zhong <jonizhong at msn.com> wrote:

> IJCNN 2023 Special Session - Human-in-the-loop Algorithms and System
> Designs
>
>
>
>  Submission link: https://edas.info/N30081
>
> Submission Deadline: Jan 31, 2023
>
>
>
> *Aims *
>
> The human-in-the-loop (HIL) terms can be used in different ways in
> different research fields. Human-in-the-loop learning algorithms refer to
> algorithms that include human feedback into the training loop of the
> machine learning models to improve the quality of training and to augment
> the functions of the model. In the hardware applications, the
> human-in-the-loop learning devices or robots refer to the skill transfer
> skills from the users to the robots, where a human’s skills could be
> actively learnt by the robots’ model to enhance its intelligence or skill
> levels in an active and autonomous way. In the system design and
> implementation processes, the “human-in-the-loop” refers to the active
> integration of human inputs with different physiological inputs, such as
> BCI. We can see the “human-in-the-loop” methodologies in different research
> scopes differ, but their central approach can stay unified an,d
> interdisciplinary research and development can be foreseen. The special
> session aims to reduce the gaps between the robotic systems’ techniques and
> settings and the users’ practical needs by the users’ inputs and
> optimization.
>
>
>
> *Main Topics: *
>
> Themes of interest to this special session include, but are not limited to:
>
>
> •           HIL in Human-robot interaction
>
> •          HIL in Human-robot collaboration
>
> •           HIL in Assistive Technologies
>
> •          Human-guided Reinforcement Learning
>
> •          Interactive Reinforcement Learning
>
> •          Active Learning and Continuous Learning
>
> •          Human-centric Design for Assistive Technologies
>
> •          Interpretable Machine Learning
>
> •          Human Factors in Robots and Devices
>
> •          Conversation Systems between Human and Robots
>
> •          Ergonomics
>
> •          etc.
>
>
>
> *Important dates:*
>
> Paper Submission Deadline
>
> January 31, 2023
>
>
>
> Paper acceptance notification date
>
> March 31, 2023
>
>
>
> Conference
>
> June 18-23, 2023
>
>
>
> *Submission Guidelines:*
>
>
>
> *Organisers :*
>
> Junpei Zhong,  The Hong Kong Polytechnic University
>
> Ding Ding, Southeast University
>
> Francisco Cruz, New South Wales University
>
> Nicolás Navarro-Guerrero, German Research Centre for Artificial
> Intelligence
>
>
>
> *Contact: *
>
> Dr. Joni Zhong, joni.zhong at polyu.edu.hk
>
>
>
> Please submit your paper at the following link https://edas.info/N30081
> and choose the track " Special Session: Human-in-the-loop Algorithms and
> System Designs “. Please follow the standard submission guidelines of IJCNN
> 2023.
>
> Authors of selected papers will also be invited to submit an extended and
> improved version to special issues published in MDPI Applied Sciences (ISSN
> 2076-3417) or Robotics (ISSN 2218-6581).
>
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-- 
Juyang (John) Weng
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