Qi Wang

Texture++: Elevating 3D Asset Texture Resolution with a Region-Aware Diffusion Model

Shuaiwei Wang, Shi Li, Jieting Xu, Yuchi Huo, Qi Wang, Wenting Zheng, et al.

Numerous 3D assets are discarded due to low texture resolution, while current super-resolution models ignore texture maps and focus on natural images. An efficient and generalizable texture super-resolution model can revitalize a large corpus of aging yet valuable assets across i…Read more

Electroencephalography for early Alzheimer’s disease diagnosis: from advanced feature engineering to interpretable ai and clinical translation

Mengjiao Chi, Anqi Zhao, Yu Zhang, Liping Fan, Qi Wang, Bing Tang, et al.

Objective This review aims to comprehensively review the methodologies and advancements in using electroencephalography (EEG) for the early diagnosis of Alzheimer’s disease (AD), addressing the limitations of traditional diagnostic tools. Methods We conducted a comprehensive anal…Read more

Jetson-PI: Towards Onboard Real-Time Robot Control via Foresight-Aligned Asynchronous Inference

Zebin Yang, Qi Wang, Yunhe Wang, Xiurui Guo, Bo Yu, Shaoshan Liu, et al.

Vision-Language-Action (VLA) models have achieved impressive performance on diverse embodied tasks. However, deploying VLA models on low-power onboard devices, such as the Jetson Orin, remains challenging due to their high computational complexity, which leads to substantial infe…Read more

Robust Design of Integrated Sensing and Communication in LEO Satellite Systems

Hezhen Yang, Xiaoming Chen, Qi Wang

With the growing demand for satellite sensing and communication, the limited wireless resources are difficult to support multiple satellite systems. Therefore, it is desired to investigate integrated sensing and communication (ISAC) in low Earth orbit (LEO) satellite systems to e…Read more

A Large-Scale Dataset and a New Method for RemoteSensing Traffic Object Segmentation

Zhigang Yang, Huiguang Yao, Linmao Tian, Qiang Li, Qi Wang

Remote sensing imagery plays a crucial role in evaluating regional transportation capacity. However, existing segmentation datasets often lack diversity in object categories and scenes, limiting the ability of models to comprehensively evaluate trans portation capacity in real-wo…Read more

Rethinking the Role of Feature Engineering and Learning Strategies in Few-Shot Hidden Emotion Recognition

Xiaochuan Guo, Jihao Gu, Haixu Liu, Yuxin Liu, Qi Wang, Yufei Wang, et al.

In this paper, we present the solution developed by our team, XInsight Lab, which achieved first place in Track 3 of the 4th EI-MIGA-IJCAI Challenge with a test accuracy of 0.76923. To address the challenge of weak and sparse implicit emotion evidence in long videos, this paper e…Read more

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, et al.

ABSTRACT A continuing challenge in aerospace materials is the search for alloys that have desired functional properties to operate at higher temperatures with lower densities. This improves aero‐engine efficiency and reduces CO 2 and other harmful emissions, aligning with aviatio…Read more

Machine Learning-Enhanced Model-Based Optical Proximity Correction Framework With Convolutional Neural Network-Based Variable Threshold Method Near the Diffraction Limit

Jinhao Zhu, Liwan Yue, Ying Li, Xianhe Liu, Qiang Wu, Qi Wang, et al.

Driver Analysis and Integrated Prediction of Carbon Emissions in China Using Machine Learning Models and Empirical Mode Decomposition

Ruixia Suo, Qi Wang, Qiutong Han

Accurately predicting the trajectory of carbon emissions is vital for achieving a sustainable shift toward a green and low-carbon future. Hence, this paper created a novel model to examine the driver analysis and integrated prediction for Chinese carbon emission, a large carbon-e…Read more

Machine Learning-Enhanced Model-Based Optical Proximity Correction by Using Convolutional Neural Network-Based Variable Threshold Method

Jinhao Zhu, Zhiwei Ren, Ying Li, Xianhe Liu, Qiang Wu, Yanli Li, et al.

Mixed reality and machine learning-guided cable robot framework (MMCR) for real-time prefabricated construction automation

Qi Wang, Maowei Jiang, Ting Yu, Yusong Hu, Zhiyong Dong, Hongfei Ai, et al.