Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Bio
About me
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model
Published in FinNLP@EMNLP, 2022
This paper presents a platform for systematically studying NLP-aided stock auto-trading algorithms, featuring financial news and stock factors for each stock.
Recommended citation: Zou, J., Cao, H., Liu, L., Lin, Y., Abbasnejad, E. and Shi, J.Q., 2022, December. Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model. In Proceedings of the Fourth Workshop on Financial Technology and Natural Language Processing (FinNLP) (pp. 178-186).
Stock Market Prediction via Deep Learning Techniques: A survey
Published in arXiv, 2022
This paper is a survey for stock prediction via deep learning techniques.
Recommended citation: Zou, J., Zhao, Q., Jiao, Y., Cao, H., Liu, Y., Yan, Q., Abbasnejad, E., Liu, L. and Shi, J.Q., 2022. Stock market prediction via deep learning techniques: A survey. arXiv preprint arXiv:2212.12717.
A Generative Approach for Comprehensive Financial Event Extraction at the Document Level
Published in ICAIF, 2023
This paper proposes a generative approach for extracting financial events from documents, addressing the challenges of scattered arguments and multiple events by introducing specialized encoding and decoding schemes.
Recommended citation: Zou, J., Liu, Y., Qi, Y., Cao, H., Liu, L. and Shi, J.Q., 2023, November. A Generative Approach for Comprehensive Financial Event Extraction at the Document Level. In Proceedings of the Fourth ACM International Conference on AI in Finance (pp. 323-330).
Semantic Role Labeling Guided Out-of-distribution Detection
Published in COLING, 2024
This paper is about ood detection for NLP.
Recommended citation: Zou, J., Guo, M., Tian, Y., Lin, Y., Cao, H., Liu, L., Abbasnejad, E. and Shi, J.Q., 2024, May. Semantic Role Labeling Guided Out-of-distribution Detection. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (pp. 14641-14651)
InvariantStock: Learning Invariant Features for Mastering the Shifting Market
Published in Transactions on Machine Learning Research, 2024
InvariantStock introduces a novel framework to enhance robustness against market distribution shifts by learning invariant features across environments, delivering superior stock return predictions and outperforming baselines in dynamic markets.
Recommended citation: Cao, H., Zou, J., Liu, Y., Zhang, Z., Abbasnejad, E., Hengel, A.V.D. and Shi, J.Q., 2024. InvariantStock: Learning Invariant Features for Mastering the Shifting Market. arXiv preprint arXiv:2409.00671.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.