Styleme: Towards intelligent fashion generation with designer style

D Wu, Z Yu, N Ma, J Jiang, Y Wang, G Zhou… - Proceedings of the …, 2023 - dl.acm.org
Hand-drawn sketches and sketch colourization are the most laborious but necessary steps
for fashion designers to design exquisite clothes, especially when the fashion design …

HAIGEN: towards human-AI collaboration for facilitating creativity and style generation in fashion design

J Jiang, D Wu, H Deng, Y Long, W Tang, X Li… - Proceedings of the …, 2024 - dl.acm.org
The process of fashion design usually involves sketching, refining, and coloring, with
designers drawing inspiration from various images to fuel their creative endeavors …

Act as what you think: Towards personalized eeg interaction through attentional and embedded lstm learning

X Li, H Deng, J Ouyang, H Wan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The “mind-controlling” capability has always been in mankind's fantasy. With the recent
advancements in electroencephalograph (EEG) techniques, brain-computer interface (BCI) …

Society's Attitudes Towards Human Augmentation and Performance Enhancement Technologies (SHAPE) Scale

S Villa, J Niess, A Schmidt, R Welsch - … of the ACM on Interactive, Mobile …, 2023 - dl.acm.org
Human augmentation technologies (ATs) are a subset of ubiquitous on-body devices
designed to improve cognitive, sensory, and motor capacities. Although there is a large …

NeuroBCI: Multi-Brain to Multi-Robot Interaction Through EEG-Adaptive Neural Networks and Semantic Communications

J Ouyang, M Wu, X Li, H Deng, Z Jin… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Recent advancements in EEG-based BCI technologies have been explored to assist
individuals in executing brain-to-robot tasks. In the future, using BCI systems in both …

Mind Meets Robots: A Review of EEG-Based Brain-Robot Interaction Systems

Y Zhang, N Rajabi, F Taleb, A Matviienko, Y Ma… - arXiv preprint arXiv …, 2024 - arxiv.org
Brain-robot interaction (BRI) empowers individuals to control (semi-) automated machines
through their brain activity, either passively or actively. In the past decade, BRI systems have …

BRIEDGE: EEG-Adaptive Edge AI for Multi-Brain to Multi-Robot Interaction

J Ouyang, M Wu, X Li, H Deng, D Wu - arXiv preprint arXiv:2403.15432, 2024 - arxiv.org
Recent advances in EEG-based BCI technologies have revealed the potential of brain-to-
robot collaboration through the integration of sensing, computing, communication, and …

CityGPT: Towards Urban IoT Learning, Analysis and Interaction with Multi-Agent System

Q Guan, J Ouyang, D Wu, W Yu - arXiv preprint arXiv:2405.14691, 2024 - arxiv.org
The spatiotemporal data generated by massive sensors in the Internet of Things (IoT) is
extremely dynamic, heterogeneous, large scale and time-dependent. It poses great …

TrafficGPT: Towards Multi-Scale Traffic Analysis and Generation with Spatial-Temporal Agent Framework

J Ouyang, Y Zhu, X Yuan, D Wu - arXiv preprint arXiv:2405.05985, 2024 - arxiv.org
The precise prediction of multi-scale traffic is a ubiquitous challenge in the urbanization
process for car owners, road administrators, and governments. In the case of complex road …

OpenBCI Meets the Web: A Scalable, Customizable Platform for Open-Source EEG Data Collection

L Stingl, MT Knierim - Companion of the 2024 on ACM International Joint …, 2024 - dl.acm.org
The traditional process of EEG-based BCI data collection is cum-bersome and expertise-
dependent due to complex hardware in-strumentation, but also because data collection …