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Qiqiao He

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

Bibliography

2026
Fourier augmented domain adaptation with soft pseudo-labelling for classifying time series.
[BibTeX]
[DOI]
Qi-Qiao He
,
Xueyuan Gong
,
Yain-Whar Si
Appl. Soft Comput., 2026

2025
Collaborative learning with normalization augmentation for domain generalization in time series classification.
[BibTeX]
[DOI]
Qi-Qiao He
,
Xueyuan Gong
,
Yain-Whar Si
J. Supercomput., January, 2025

Flexible Target Prediction for Quantitative Trading in the American Stock Market: A Hybrid Framework Integrating Ensemble Models, Fusion Models and Transfer Learning.
[BibTeX]
[DOI]
Keyue Yan
,
Zihuan Yue
,
Chi Chong Wu
,
Qiqiao He
,
Jiaming Zhou
,
Zhihao Hao
,
Ying Li
Entropy, 2025

Transfer Learning in Financial Time Series with Gramian Angular Field.
[BibTeX]
[DOI]
Hou-Wan Long
,
On-In Ho
,
Qi-Qiao He
,
Yain-Whar Si
Proceedings of the International Joint Conference on Neural Networks, 2025

Bio-IL: A Robust Decentralized Biometric Recognition System Using Isomerism Learning with Heterogeneous Models on Private Blockchain.
[BibTeX]
[DOI]
Zhihao Hao
,
Qiqiao He
,
Chao Chang
,
Zhixin Xu
,
Haisheng Li
,
Jianhua Guo
,
Junping Du
Proceedings of the IEEE International Joint Conference on Biometrics, 2025

Fuzzy Knowledge Distillation.
[BibTeX]
[DOI]
Chuanbin Zhang
,
Kai Li
,
Jianbin Wang
,
Qiqiao He
,
Hongbo Li
,
Zhenghao Liang
Proceedings of the 2025 3rd International Conference on Communication Networks and Machine Learning, 2025

Transfer Learning in Financial Time Series with Gramian Angular Field (Student Abstract).
[BibTeX]
[DOI]
Hou-Wan Long
,
On-In Ho
,
Qi-Qiao He
,
Yain-Whar Si
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2023
Attentive recurrent adversarial domain adaptation with Top-k pseudo-labeling for time series classification.
[BibTeX]
[DOI]
Qi-Qiao He
,
Shirley Weng In Siu
,
Yain-Whar Si
Appl. Intell., June, 2023

Instance-based deep transfer learning with attention for stock movement prediction.
[BibTeX]
[DOI]
Qi-Qiao He
,
Shirley Weng In Siu
,
Yain-Whar Si
Appl. Intell., March, 2023

2022
LSTM with particle Swam optimization for sales forecasting.
[BibTeX]
[DOI]
Qi-Qiao He
,
Cuiyu Wu
,
Yain-Whar Si
Electron. Commer. Res. Appl., 2022

2020
Multi-source Transfer Learning with Ensemble for Financial Time Series Forecasting.
[BibTeX]
[DOI]
Qi-Qiao He
,
Patrick Cheong-Iao Pang
,
Yain-Whar Si
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

2019
Transfer Learning for Financial Time Series Forecasting.
[BibTeX]
[DOI]
Qi-Qiao He
,
Patrick Cheong-Iao Pang
,
Yain-Whar Si
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019


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