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Kaiyue Liu

Biographic Data

ID7868916
NAMEKaiyue Liu
GIVEN NAMESKaiyue
FAMILY NAMELiu
SIGNATURELIU K
AFFILIATIONSShandong University of Finance and Economics
ORCID0000-0003-4586-6628
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Anchor-Guided Balanced Learning for Trajectory Representation

    Open Access•Kang Liu, Kaiyue Liu et al.•ARTICLE•ISPRS International Journal of…•2026

    Trajectory Representations Learning (TRL) serves as a foundational technology for supporting intelligent transportation. However, models trained on real-world data often suffer from performance degradation caused by inherent spatiotemporal distribution bias, which reflects the heterogeneity of urban structures and human movement behaviors. This leads to representations that overfit to frequent patterns, resulting in weak robustness and limited ge…

  • Text Geolocation Prediction via Self-Supervised Learning

    Open Access•Yuxing Wu, Zhuang Zeng et al.•ARTICLE•ISPRS International Journal of…•2025

    Text geolocation prediction aims to infer the geographic location of text with text semantics, serving as a fundamental task for various geographic applications. As the mainstream approach, the deep learning-based methods follow the supervised learning paradigms, which rely heavily on a large amount of labeled samples to train model parameters. To address this limitation, this paper presents a method for text geolocation prediction without labele…

  • The Promotion Effect of the Belt and Road Initiative on China's Tea Export Trade

    Open Access•Zesen Fan, Kaiyue Liu•ARTICLE•Journal of Sociology and Ethnology•2022

    Since the Belt and Road Initiative was put forward, countries that have signed cooperation agreements with China have become important partners of China's export trade. As a significant commodity in China's foreign trade, tea has ushered in a new development opportunity. This paper selects the data from the UN Comtrade database on China's tea export trade to 20 countries from 2008 to 2020 and uses the difference-in-differences model to study the …

  • Price Decision-Making in Dual-Channel Healthcare Services Supply Chain Considering the Channel Acceptance, Price Ceiling, and Public Welfare

    Open Access•Yanbo Ma, Zheng Li et al.•ARTICLE•International Journal of…•2022

    Given that an increasing number of online healthcare channels play an essential role as a supply method in the healthcare service supply chain (HSSC), this paper studies the price decision-making problem for a dual-channel HSSC considering the channel acceptance, price ceiling, and public welfare. In this HSSC, a healthcare institution establishes both a traditional offline channel and an online channel to provide healthcare services for some hea…

  • Robust Operating Room Scheduling Model with Violation Probability Consideration under Uncertain Surgery Duration

    Open Access•Yanbo Ma, Kaiyue Liu et al.•ARTICLE•International Journal of…•2022

    This paper proposes an operating room (OR) scheduling model to assign a group of next-day patients to ORs while adhering to OR availability, priorities, and OR overtime constraints. Existing studies usually consider OR scheduling problems by ignoring the influence of uncertainties in surgery durations on the OR assignment. In this paper, we address this issue by formulating accurate patient waiting times as the cumulative sum of uncertain surgery…

No prominent works on this page.

  • The Promotion Effect of the Belt and Road Initiative on China's Tea Export Trade

    Open Access•Zesen Fan, Kaiyue Liu•ARTICLE•Journal of Sociology and Ethnology•2022

    Since the Belt and Road Initiative was put forward, countries that have signed cooperation agreements with China have become important partners of China's export trade. As a significant commodity in China's foreign trade, tea has ushered in a new development opportunity. This paper selects the data from the UN Comtrade database on China's tea export trade to 20 countries from 2008 to 2020 and uses the difference-in-differences model to study the …

  • Price Decision-Making in Dual-Channel Healthcare Services Supply Chain Considering the Channel Acceptance, Price Ceiling, and Public Welfare

    Open Access•Yanbo Ma, Zheng Li et al.•ARTICLE•International Journal of…•2022

    Given that an increasing number of online healthcare channels play an essential role as a supply method in the healthcare service supply chain (HSSC), this paper studies the price decision-making problem for a dual-channel HSSC considering the channel acceptance, price ceiling, and public welfare. In this HSSC, a healthcare institution establishes both a traditional offline channel and an online channel to provide healthcare services for some hea…

  • Robust Operating Room Scheduling Model with Violation Probability Consideration under Uncertain Surgery Duration

    Open Access•Yanbo Ma, Kaiyue Liu et al.•ARTICLE•International Journal of…•2022

    This paper proposes an operating room (OR) scheduling model to assign a group of next-day patients to ORs while adhering to OR availability, priorities, and OR overtime constraints. Existing studies usually consider OR scheduling problems by ignoring the influence of uncertainties in surgery durations on the OR assignment. In this paper, we address this issue by formulating accurate patient waiting times as the cumulative sum of uncertain surgery…

  • Text Geolocation Prediction via Self-Supervised Learning

    Open Access•Yuxing Wu, Zhuang Zeng et al.•ARTICLE•ISPRS International Journal of…•2025

    Text geolocation prediction aims to infer the geographic location of text with text semantics, serving as a fundamental task for various geographic applications. As the mainstream approach, the deep learning-based methods follow the supervised learning paradigms, which rely heavily on a large amount of labeled samples to train model parameters. To address this limitation, this paper presents a method for text geolocation prediction without labele…

  • Anchor-Guided Balanced Learning for Trajectory Representation

    Open Access•Kang Liu, Kaiyue Liu et al.•ARTICLE•ISPRS International Journal of…•2026

    Trajectory Representations Learning (TRL) serves as a foundational technology for supporting intelligent transportation. However, models trained on real-world data often suffer from performance degradation caused by inherent spatiotemporal distribution bias, which reflects the heterogeneity of urban structures and human movement behaviors. This leads to representations that overfit to frequent patterns, resulting in weak robustness and limited ge…

Computer Science (3 works) · Business (2 works) · Economics (2 works) · Artificial Intelligence (1 work) · Ceiling (cloud (1 work) · Ceiling effect (1 work) · Channel (broadcasting (1 work) · China (1 work) · Commodity (1 work) · Data Management and Algorithms (1 work)

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