About Me
It’s Peng here(You can just call me Bob).
I am looking for 2025 Spring/Fall intake Ph.D in Finance/Fintech as well as artificial intellgence, I prefer interdisciplinary works.
Currently, I worked as a research asscioate under the guidence of Prof. CHEN chen in Chinese University of Hong Kong (Shenzhen), meanwhile I’m collaborating with researchers with similiar interests.
If you are interested in any aspect of me, I would love to chat and collaborate, email me at yifengpeng[at]link[dot]cuhk[dot]edu[dot]cn or schedule a Online Coffee Chat with me.
Academic Background
- Sep 2021 - Jul 2023: Chinese University of Hong Kong (Shenzhen) (MSc, Finance)
- Sep 2020 - Aug 2021: University of Hong Kong (MSc, Computer Science)
- Sep 2016 - June 2020: Hunan University (BEng, Computer Science and Technology)
Research Interests
- Artificial intelligence generative content(AIGC) and its Application in decision making
- AI Alignment (A quick guide for AI Alignment Problems)🔗
- Behavorial Finance (Investor Sentiment/emotion; Cognitive bias under information asymmetry)
- Experimental Finance/Neruofinance/Neuroeconomics (I’m just a beginner in this field)
- Alternative data mining (The usage of multimoal data with AIGC)
- My latest research proposal (March 2024)🔗
My current research focuses on the Alignment Problem in Large Language models (LLMs), I’m also a fan for Behavioral Finance, with a heart for bounded rationality. Hoping that AI can liberate productivity and benefit mankind.
Try to find a connection between human behavior and machine behavior, LLMs were trained by biased data (Researchs were done to make sure no harm to human, but how to avoid potential future harms when everyone use it everyday in multiply field?), and human were influenced by the biased information, we would face a future together with AI, how to make the AI more aligned with human values is the key point of my research.
News and Updates
- February 16 2025: Our work Poisoned Pills: insights from vulnerability disparity among llms, submitted to ACL 2025. Preprint is available here.
- February 1 2025: I got 25/2722 in Kaggle Forcasting Sticker Sales Competition, really really really unbelievable works for me! Screenshot for result
- January 1 2025: Happy New Year! An research about how fund distribution channel affect return submitted to 15th Financial Market and Corporate Governance Conference 2025 (FMCG 2025). Early Access
- December 28 2024: I achieved new record in Kaggle Jane Street Real-Time Market Data Forecasting.
- November 15 2024: An multi-disciplinary research in neuroeconomics with Gao Chen & Xi Gong was finished. Early Access(On working)
- September 5 2024: I extended my internship at GEEKR as remote worker, need a balance between RA workload.
- August 29 2024: Really thrilled be informed that My paper Sentiment towards Overtrading has been accepted by Journal of Finance and Accounting. Acceptance
- July 4 2024: Finished the manuscript of Generative AI Goverance Framework to AI and Ethics, it’s a capstone for my Alignment Research.
- June 26 2024: I finished my paper New intelligent empowerment for digital transformation🔗 and submiited to Technovation
- May 21 2024: The Online Coffee Chat and disqus are available now, welcome to leave a message and chat with me!
- April 21 2024: New Personl website! Welcome everyone!