Zhiqiu Xia

Hong Kong University of Science and Technology

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Hongjiang Wang

Chinese PLA General Hospital

Tianlang He

University of Hong Kong

Chunpeng Wang

Shandong Academy of Sciences

S.-H. Gary Chan

National Taipei University of Technology

Xingyuan Wang

Heilongjiang Bayi Agricultural University

Chuan Zhang

Qufu Normal University

Tingting Zhao

Tianjin University of Science and Technology

Chuan Zhang

Southwest Jiaotong University

Haoliang Li

City University of Hong Kong

Xiaopeng Wei

Harbin Engineering University

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Dalian University of Technology

Dalian University

University of Hong Kong

Shenyang Institute of Engineering

Hong Kong University of Science and Technology

Harbin Engineering University

South China University of Technology

Shandong University

Tianjin University of Science and Technology

Beijing University of Chemical Technology

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Target-agnostic Source-free Domain Adaptation for Regression Tasks

2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024)

Tianlang He Zhiqiu Xia Jierun Chen Haoliang Li S.-H. Gary Chan

Domain Adaptation

10.1109/icde60146.2024.00121

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Citations (1)

Subpixel-Based Accurate and Fast Dynamic Tumor Image Recognition

Journal of Medical Imaging and Health Informatics (2018)

Zhiqiu Xia Xingyuan Wang Chunpeng Wang Chuan Zhang

Subpixel rendering

10.1166/jmihi.2018.2390

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Citations (6)

Elevator, Escalator or Neither? Classifying Pedestrian Conveyor State Using Inertial Navigation System

arXiv (Cornell University) (2024)

Tianlang He Zhiqiu Xia S.-H. Gary Chan

Classifying a pedestrian in one of the three conveyor states of "elevator," "escalator" and "neither" is fundamental to many applications such as indoor localization and people flow analysis. We estimate, for the first time, the pedestrian conveyor state given the inertial navigation system (INS) readings of accelerometer, gyroscope and magnetometer sampled from the phone. Our problem is challenging because the INS signals of the conveyor state are coupled and perturbed by unpredictable arbitrary human actions, confusing the decision process. We propose ELESON, a novel, effective and lightweight INS-based deep learning approach to classify whether a pedestrian is in an elevator, escalator or neither. ELESON utilizes a motion feature extractor to decouple the conveyor state from human action in the feature space, and a magnetic feature extractor to account for the speed difference between elevator and escalator. Given the results of the extractors, it employs an evidential state classifier to estimate the confidence of the pedestrian states. Based on extensive experiments conducted on twenty hours of real pedestrian data, we demonstrate that ELESON outperforms significantly the state-of-the-art approaches (where combined INS signals of both the conveyor state and human actions are processed together), with 15% classification improvement in F1 score, stronger confidence discriminability with 10% increase in AUROC (Area Under the Receiver Operating Characteristics), and low computational and memory requirements on smartphones.

Elevator

10.48550/arxiv.2405.03218

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Creative Design Approach of Solar Energy Product based on Variable Length Gene Expression and Intuition Models

International Journal of Advancements in Computing Technology (2013)

Tingting Zhao Xiaopeng Wei Zhiqiu Xia Hongjiang Wang Juntie Xia -

Intuition

Expression (computer science)

10.4156/ijact.vol5.issue4.83

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Solar Energy Product Based on Variable Length Gene Expression and Intuition Models

Communications in computer and information science (2012)

Tingting Zhao Xiaopeng Wei Zhiqiu Xia Hongjiang Wang Jun-tie Xia

Intuition

Expression (computer science)

10.1007/978-3-642-34038-3_110

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Stereo image zero-watermarking algorithm based on ternary polar harmonic Fourier moments and chaotic mapping

Scientia Sinica Informationis (2017)

Chunpeng Wang Xingyuan Wang Chuan Zhang Xiaoqiang Zhu Zhiqiu Xia

截尾均值算法和支持向量机 (SVM) 提出一种有效的零水印算法.算法使用 α 截尾均值算法移除噪声来增强特征选取的精确性, 使用训练好的 SVM 模型来记录特征信息和水印的关系.在文献 [7] 的基础上, 文献 [8] 基于支持向量机 (SVM) 和粒子群算法 (PSO) 提出一种抗几何攻击的零水印算法.文献 [9] 基于 Bessel-Fourier 矩提出一种鲁棒可视零水印算法, 可以抵抗各种攻击, 同其他同类可视零水印算法和 Zernike 矩算法的比较也显示出该算法的优越性.文献 [10] 基于广义 Arnold 变换 (GAT) 提出一种新的零水印算法, 算法中广义

Zero (linguistics)

Harmonic

10.1360/n112017-00109

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Citations (3)