LGL-BCI: A Lightweight Geometric Learning Framework for Motor Imagery-Based Brain-Computer Interfaces

no code implementations • 12 Oct 2023 • Jianchao Lu, Yuzhe Tian, Yang Zhang, Jiaqi Ge, Quan Z. Sheng, Xi Zheng

The efficiency, assessed on two public EEG datasets and two real-world EEG devices, significantly outperforms the state-of-the-art solution in accuracy ($82. 54\%$ versus $62. 22\%$) with fewer parameters (64. 9M compared to 183. 7M).

EEG Motor Imagery

CUEING: a lightweight model to Capture hUman attEntion In driviNG

no code implementations • 25 May 2023 • Linfeng Liang, Yao Deng, Yang Zhang, Jianchao Lu, Chen Wang, Quanzheng Sheng, Xi Zheng

Discrepancies in decision-making between Autonomous Driving Systems (ADS) and human drivers underscore the need for intuitive human gaze predictors to bridge this gap, thereby improving user trust and experience.

Autonomous Driving Decision Making +1

PearNet: A Pearson Correlation-based Graph Attention Network for Sleep Stage Recognition

no code implementations • 26 Sep 2022 • Jianchao Lu, Yuzhe Tian, Shuang Wang, Michael Sheng, Xi Zheng

Sleep stage recognition is crucial for assessing sleep and diagnosing chronic diseases.

Graph Attention

Can Steering Wheel Detect Your Driving Fatigue?

no code implementations • 18 Oct 2020 • Jianchao Lu, Xi Zheng, Tianyi Zhang, Michael Sheng, Chen Wang, Jiong Jin, Shui Yu, Wanlei Zhou

In this paper, we propose a novel driver fatigue detection method by embedding surface electromyography (sEMG) sensors on a steering wheel.

ICS-Assist: Intelligent Customer Inquiry Resolution Recommendation in Online Customer Service for Large E-Commerce Businesses

no code implementations • 22 Aug 2020 • Min Fu, Jiwei Guan, Xi Zheng, Jie zhou, Jianchao Lu, Tianyi Zhang, Shoujie Zhuo, Lijun Zhan, Jian Yang

Existing solution recommendation methods for online customer service are unable to determine the best solutions at runtime, leading to poor satisfaction of end customers.