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张欣爽
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先为力胜 (Win through Strength First)
My research interests include Machine Learning. Currently, I am focusing on the sub-fields:
LLMs Applications (Manuscript in preparation): Building agentic workflows to tackle NLP tasks such as fact-checking.
Causality Discovery in Time Series (Manuscript in preparation): Leveraging Granger causality to uncover relationships among variables, with applications in forecasting, anomaly detection, and more.
Generative Recommendation (Under exploration): Integrating generative models—such as LLMs and diffusion models—into recommendation systems to enhance user experience.
Generative Bidding for Advertising (Under exploration): Modeling the bidding process as a sequential decision-making problem, combining reinforcement learning with generative modeling to dynamically optimize bidding strategies.
If you're interested in any of these topics, feel free to reach out to me via email for further discussion!
Email:
zhangxs [at] smail.nju.edu.cn
GitHub:
https://github.com/XinShuangZ
Office:
南雍楼-东516, Nanjing University Suzhou
Campus, Suzhou, China