Sijia Zhou

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
Randomized Pairwise Learning with Adaptive Sampling: A PAC-Bayes Analysis.
CoRR, April, 2025

Foot in both camps: How do activities on third-party online healthcare platforms affect doctors' demand on official online healthcare platforms?
Decis. Support Syst., 2025

Learning to Sample in Stochastic Optimization.
Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

2024
Ghost attentional down net: An effective lightweight top-down network for human pose estimation.
J. Intell. Fuzzy Syst., 2024

Feature engineering vs. deep learning for paper section identification: Toward applications in Chinese medical literature.
CoRR, 2024

Self-certified Tuple-Wise Deep Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

2023
Reinforcement learning-based joint self-optimisation method for the fuzzy logic handover algorithm in 5G HetNets.
Neural Comput. Appl., April, 2023

Unintended Emotional Effects of Online Health Communities: A Text Mining-Supported Empirical Study.
MIS Q., 2023

Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Neural-Symbolic Reasoning with External Knowledge for Machine Reading Comprehension.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
Unsupervised Hyperspectral Band Selection via Hybrid Graph Convolutional Network.
IEEE Trans. Geosci. Remote. Sens., 2022

Abnormal driving behavior detection based on kernelization-sparse representation in video surveillance.
Multim. Tools Appl., 2022

Semisupervised Hyperspectral Band Selection Based on Dual-Constrained Low-Rank Representation.
IEEE Geosci. Remote. Sens. Lett., 2022

2021
Autonomous Mobility Management for 5G Ultra-Dense HetNets via Reinforcement Learning With Tile Coding Function Approximation.
IEEE Access, 2021

Research on Load Forecasting Method Considering Data Feature Analysis Based on Bi-LSTM Network.
Proceedings of the Big Data and Security - Third International Conference, 2021

2020
Feature engineering vs. deep learning for paper section identification: Toward applications in Chinese medical literature.
Inf. Process. Manag., 2020

The Role of Media Coverage on Pandemic Containment: Empirical Analysis of the COVID-19 Case.
Proceedings of the 24th Pacific Asia Conference on Information Systems, 2020

2019
Prediction of Hospital Readmission for Heart Disease: A Deep Learning Approach.
Proceedings of the Smart Health - International Conference, 2019

2018
Section Identification to Improve Information Extraction from Chinese Medical Literature.
Proceedings of the Smart Health - International Conference, 2018


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