Sijia Zhou

22 papers A* 1A 1Journal 14Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Foot in both camps: How do activities on third-party online healthcare platforms affect doctors' demand on official online healthcare platforms?
Decis. Support Syst.
Heng Zhao, Sijia Zhou
2025 J jnl
Impact of Non-Diagnostic Digital Services on Online Healthcare Consultation.
J. Manag. Inf. Syst.
Sijia Zhou, Yanzhen Chen, Xin Li
2025 J jnl
Integrated Emergency Medical Facility Location and Patient Dispatching Under Uncertainty.
IEEE Trans. Intell. Transp. Syst.
Haichao Liu, Yang Wang, Sijia Zhou, Yuning Chen, Jin-Kao Hao
2025 A conf
Learning to Sample in Stochastic Optimization.
UAI
Sijia Zhou, Yunwen Lei, Ata Kabán
2025 J jnl
PAC-Bayes Guarantees for Data-Adaptive Pairwise Learning.
Entropy
Sijia Zhou, Yunwen Lei, Ata Kabán
2025 J jnl
Randomized Pairwise Learning with Adaptive Sampling: A PAC-Bayes Analysis.
CoRR
Sijia Zhou, Yunwen Lei, Ata Kabán
2024 J jnl
Feature engineering vs. deep learning for paper section identification: Toward applications in Chinese medical literature.
CoRR
Sijia Zhou, Xin Li
2024 J jnl
Ghost attentional down net: An effective lightweight top-down network for human pose estimation.
J. Intell. Fuzzy Syst.
Fuchen Liu, Sijia Zhou, Dezhou Zhang, Xiaocui Wang
2024 — conf
Self-certified Tuple-Wise Deep Learning.
ECML/PKDD (2)
Sijia Zhou, Yunwen Lei, Ata Kabán
2023 — conf
Neural-Symbolic Reasoning with External Knowledge for Machine Reading Comprehension.
ICONIP (11)
Yilin Duan, Sijia Zhou, Xiaoyue Peng, Xiaojun Kang, Hong Yao
2023 J jnl
Reinforcement learning-based joint self-optimisation method for the fuzzy logic handover algorithm in 5G HetNets.
Neural Comput. Appl.
Qianyu Liu, Chiew Foong Kwong, Sun Wei, Sijia Zhou, Lincan Li, Pushpendu Kar
2023 A* conf
Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms.
NeurIPS
Sijia Zhou, Yunwen Lei, Ata Kabán
2023 J jnl
Unintended Emotional Effects of Online Health Communities: A Text Mining-Supported Empirical Study.
MIS Q.
Jiaqi Zhou, Qingpeng Zhang, Sijia Zhou, Xin Li, Xiaoquan (Michael) Zhang
2022 J jnl
Abnormal driving behavior detection based on kernelization-sparse representation in video surveillance.
Multim. Tools Appl.
Qinghua Xiong, Sijia Zhou, Qiushi Chen
2022 J jnl
Semisupervised Hyperspectral Band Selection Based on Dual-Constrained Low-Rank Representation.
IEEE Geosci. Remote. Sens. Lett.
Chunyan Yu, Sijia Zhou, Meiping Song, Chein-I Chang
2022 J jnl
Unsupervised Hyperspectral Band Selection via Hybrid Graph Convolutional Network.
IEEE Trans. Geosci. Remote. Sens.
Chunyan Yu, Sijia Zhou, Meiping Song, Baoyu Gong, Enyu Zhao, Chein-I Chang
2021 J jnl
Autonomous Mobility Management for 5G Ultra-Dense HetNets via Reinforcement Learning With Tile Coding Function Approximation.
IEEE Access
Qianyu Liu, Chiew Foong Kwong, Sijia Zhou, Tianhao Ye, Lincan Li, Saeid Pourroostaei Ardakani
2021 — conf
Research on Load Forecasting Method Considering Data Feature Analysis Based on Bi-LSTM Network.
ICBDS
Zhihua Ding, Yijie Wu, Peng Jia, Jiaxing Li, Sijia Zhou
2020 J jnl
Feature engineering vs. deep learning for paper section identification: Toward applications in Chinese medical literature.
Inf. Process. Manag.
Sijia Zhou, Xin Li
2020 — conf
The Role of Media Coverage on Pandemic Containment: Empirical Analysis of the COVID-19 Case.
PACIS
Qiang Cao, Wei Hu, Sijia Zhou, Bei Luo, Yuxuan Yu, Stephen Shaoyi Liao, J. Leon Zhao, Raymond Yiu-Keung Lau
2019 — conf
Prediction of Hospital Readmission for Heart Disease: A Deep Learning Approach.
ICSH
Jingwei Da, Danni Yan, Sijia Zhou, Yidi Liu, Xin Li, Yani Shi, Jiaqi Yan, Zhongmin Wang
2018 — conf
Section Identification to Improve Information Extraction from Chinese Medical Literature.
ICSH
Sijia Zhou, Xin Li