Jun Zhou

According to our database, Jun Zhou authored at least 12 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

An efficient loss function and deep learning approach for ranking stock returns in the absence of prior knowledge.

Jiahao Yang, Shuo Feng, Wenkai Zhang, Ming Zhang, Jun Zhou, Pengyuan Zhang

Inf. Process. Manag., January, 2024

2023

Reminding the incremental language model via data-free self-distillation.

Han Wang, Ruiliu Fu, Chengzhang Li, Xuejun Zhang, Jun Zhou, Xing Bai, Yonghong Yan, Qingwei Zhao

Appl. Intell., April, 2023

Metacognitive Adaptation to Enhance Lifelong Language Learning.

Han Wang, Ruiliu Fu, Xuejun Zhang, Jun Zhou, Qingwei Zhao

IEICE Trans. Inf. Syst., 2023

Enhancing stock movement prediction with market index and curriculum learning.

Jiahao Yang, Wenkai Zhang, Xuejun Zhang, Jun Zhou, Pengyuan Zhang

Expert Syst. Appl., 2023

2022

Predicting long-term stock movements with fused textual features of Chinese research reports.

Ming Zhang, Jiahao Yang, Meilin Wan, Xuejun Zhang, Jun Zhou

Expert Syst. Appl., 2022

Robust Cough Feature Extraction and Classification Method for COVID-19 Cough Detection Based on Vocalization Characteristics.

Xueshuai Zhang, Jiakun Shen, Jun Zhou, Pengyuan Zhang, Yonghong Yan, Zhihua Huang, Yanfen Tang, Yu Wang, Fujie Zhang, Shaoxing Zhang, Aijun Sun

Proceedings of the Interspeech 2022, 2022

RVAE-LAMOL: Residual Variational Autoencoder to Enhance Lifelong Language Learning.

Han Wang, Ruiliu Fu, Xuejun Zhang, Jun Zhou

Proceedings of the International Joint Conference on Neural Networks, 2022

Ask Question First for Enhancing Lifelong Language Learning.

Han Wang, Ruiliu Fu, Xuejun Zhang, Jun Zhou, Qingwei Zhao

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Reminding the Incremental Language Model via Data-Free Self-Distillation.

Han Wang, Ruiliu Fu, Chengzhang Li, Xuejun Zhang, Jun Zhou, Yonghong Yan

CoRR, 2021

Non-autoregressive Deliberation-Attention based End-to-End ASR.

Changfeng Gao, Gaofeng Cheng, Jun Zhou, Pengyuan Zhang, Yonghong Yan

Proceedings of the 12th International Symposium on Chinese Spoken Language Processing, 2021

Decomposing Complex Questions Makes Multi-Hop QA Easier and More Interpretable.

Ruiliu Fu, Han Wang, Xuejun Zhang, Jun Zhou, Yonghong Yan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2015

Predicting Who Will Retweet or Not in Microblogs Network.

Jun Zhou, Zhen Zhang, Bing Wang, Yan Zhang, Yonghong Yan

Proceedings of the Social Media Processing - 4th National Conference, 2015