4 citations · 10 across the 18 of their papers we have counts for
9 papers · 1 filter
Learning Dynamic Neural Evidence Representations for Time-Adaptive Brain-Computer Interfaces
Beining Cao, Ziyi Zhao, Xiaowei Jiang +5
Brain-computer interfaces (BCIs) decode neural activity into commands, yet most existing systems rely on fixed-window decoding that may result in redundant observation or unreliabl…
Online Inference of Human Intention as a Latent Control State from Single-Trial EEG
Xiaowei Jiang, Daniel Leong, Yu-Cheng Chang +2
Human intention can be modeled as a latent internal state that modulates how sensory information is evaluated and translated into action in human-machine systems. However, most exi…
iFuzz-Meta: An Interpretable Fuzzy Learning Framework Bridging Top-Down and Bottom-Up Knowledge Integration
Xiaowei Jiang, Daniel Leong, Beining Cao +5
Interpretable representation learning remains a key challenge in modern neural computation, particularly when models are expected not only to perform but also to explain their reas…
Interpretable Fuzzy Modeling Reveals Population-Level Representation Differences in P300 Brain Computer Interfaces Across Neurodivergent and Neurotypical Cohorts
Xiaowei Jiang, Sudong Shang, Adrian Wilkinson +4
P300-based brain-computer interfaces (BCIs) are widely used for communication, but population heterogeneity may alter the neural patterns available for decoding. Prior work has mai…
DF3DV-1K: A Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis
Cheng-You Lu, Yi-Shan Hung, Wei-Ling Chi +6
Advances in radiance fields have enabled photorealistic novel view synthesis. In several domains, large-scale real-world datasets have been developed to support comprehensive bench…
Neuro-Cognitive Reward Modeling for Human-Centered Autonomous Vehicle Control
Zhuoli Zhuang, Yu-Cheng Chang, Yu-Kai Wang +2
Recent advancements in computer vision have accelerated the development of autonomous driving. Despite these advancements, training machines to drive in a way that aligns with huma…
SASLO: A Scene-Aware Spatial Layout Optimization System for AR-SSVEP
Beining Cao, Xiaowei Jiang, Charlie Li-Ting Tsai +3
Steady-state visual evoked potential (SSVEP) is widely used in brain-computer interfaces (BCIs) due to its reliability. With the integration of augmented reality (AR), AR-SSVEP ena…
Inter- and Intra-Subject Variability in EEG: A Systematic Survey
Xuan-The Tran, Thien-Nhan Vo, Son-Tung Vu +4
Electroencephalography (EEG) underpins neuroscience, clinical neurophysiology, and brain-computer interfaces (BCIs), yet pronounced inter- and intra-subject variability limits reli…
Design and Quantitative Evaluation of an Embedded EEG Instrumentation Platform for Real-Time SSVEP Decoding
Manh-Dat Nguyen, Thomas Do, Nguyen Thanh Trung Le +3
This paper presents an embedded EEG instrumentation platform for real-time steady-state visually evoked potential (SSVEP) decoding based on an ESP32-S3 microcontroller and an ADS12…