Mr Jinan Zou
Research Fellow (B) (with PhD)
School of Computer Science and Information Technology
College of Engineering and Information Technology
Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.
My research delves into devising groundbreaking approaches for Education and Finance, utilizing causal AI and NLP to unravel the nuances of decision-making paradigms.
I am passionate about AI literacy and education, designing and delivering programs for schools, teachers, and communities, aligned with UNESCO’s AI Competency Framework and Australia’s Responsible AI principles. I also spearhead a team dedicated to creating a versatile, scalable, and self-sufficient trading platform. We utilize cutting-edge machine learning methodologies to refine and automate distinct facets of quantitative trading strategies. Our primary focus lies in market-making and exploiting arbitrage windows across both equity and digital currency markets.
I am actively seeking motivated undergraduate students and postgraduates interested in collaboration. I am also committed to mentorship and welcome inquiries from those new to the field of quant trading and AI. Please feel free to email me and attach your CV if you are interested.
For more information, please visit my homepage.
| Date | Position | Institution name |
|---|---|---|
| 2023 - ongoing | Postdoctoral Research Fellow | Australian Institute for Machine Learning |
| Date | Institution name | Country | Title |
|---|---|---|---|
| 2019 - 2023 | University of Adelaide | Australia | PHD |
| Year | Citation |
|---|---|
| 2024 | Cao, H., Zou, J., Liu, Y., Zhang, Z., Abbasnejad, E., Hengel, A. V. D., & Shi, J. Q. (2024). InvariantStock: Learning Invariant Features for Mastering the Shifting Market. Transactions on Machine Learning Research, 2024. |
| Year | Citation |
|---|---|
| 2024 | Lin, Y., Xu, H., Liu, L., Zou, J., & Shi, J. (2024). Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation. In 2023 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2023 (pp. 32-40). Online: IEEE. DOI Scopus1 |
| 2024 | Zou, J., Guo, M., Tian, Y., Lin, Y., Cao, H., Liu, L., . . . Shi, J. Q. (2024). Semantic Role Labeling Guided Out-of-distribution Detection. In 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings (pp. 14641-14651). Online: European Language Resources Association (ELRA). Scopus2 |
| 2023 | Zou, J., Liu, Y., Qi, Y., Cao, H., Liu, L., & Shi, J. Q. (2023). A Generative Approach for Comprehensive Financial Event Extraction at the Document Level. In ICAIF 2023 - 4th ACM International Conference on AI in Finance (pp. 323-330). Online: Association for Computing Machinery, Inc. DOI Scopus3 WoS2 |
| 2022 | Qin, Z., Zou, J., Luo, Q., Cao, H., & Jiao, Y. (2022). aiML at the FinNLP-2022 ERAI Task: Combining Classification and Regression Tasks for Financial Opinion Mining. In FinNLP 2022 - 4th Workshop on Financial Technology and Natural Language Processing, Proceedings of the Workshop (pp. 127-131). Vienna, Austria: Association for Computational Linguistics. Scopus1 |
| 2022 | Zou, J., Cao, H., Liu, Y., Liu, L., Abbasnejad, E., & Shi, J. Q. (2022). UOA at the FinNLP-2022 ERAI Task: Leveraging the Class Label Description for Financial Opinion Mining. In FinNLP 2022 - 4th Workshop on Financial Technology and Natural Language Processing, Proceedings of the Workshop (pp. 122-126). Online: Association for Computational Linguistics (ACL). Scopus1 |
| 2022 | Zou, J., Cao, H., Liu, L., Lin, Y., Abbasnejad, E., & Shi, J. Q. (2022). Astock: A New Dataset and Automated Stock Trading based on Stock-specific News Analyzing Model. In FinNLP 2022 - 4th Workshop on Financial Technology and Natural Language Processing, Proceedings of the Workshop (pp. 178-186). Online: Association for Computational Linguistics (ACL). Scopus6 |
Introduction to Statistical Machine Learning, Concepts in Artificial Intelligence and Machine Learning, Deep Learning Fundamentals, CS Research Projects (Honour and Master), AI Technologies
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