• I am a final-year Ph.D. student at Stevens Institute of Technology, majoring in Data Science. I am honored to be advised by Prof. Feng Mai. 

• Before enrolling in the Ph.D. program, I earned my Master's degree in Business Intelligence & Analytics also from Stevens. I received the Bachelor's degree in Economics from Shandong University, CN.

• After spending three years in information systems and two in business analytics, my interests have gravitated toward the potential of deep learning models in the business world. My current research focuses on Financial Technology (FinTech), Natural Language Processing (NLP), Social Network Analysis (SNA), and Graph Representation Learning (GNNs).

Latest News

[Nov 2023] Our LLM paper, "Deciphering Corporate Online Reputation through Employee Reviews," is invited for presentation at 2024 POMS Annual Meeting.

[Nov 2023]  I have successfully passed my PhD proposal defense. I will hold the final dissertation defense next year.

[Oct 2023]  Our paper "Predict Misinformation Spread with StanceAware GNN" is accepted for oral presentation at ICIS 2023, Hyderabad, India.

[Oct 2023]  I am invited to give a talk on "How ChatGPT and LLMs can enhance stock market prediction" at the U.S. Bank AI Research Seminar.

[Sep 2023]  Our paper "Modeling Inverse Demand Function with Dual Neural Networks" is accepted for oral presentation at ICAIF 2023, NY, US.

[Jun 2023]  Our paper "ChatGPT+GNN for stock prediction" is accepted for oral presentation at KDD 2023, Workshop on RobustNLP for Finance, CA.

[Jun 2023]  We will present our work at the 2023 INFORMS Annual Meeting, Phoenix, AZ. The session will be "Generative AI for Business Analytics".

[May 2023]  Our FinTech paper, which integrates ChatGPT and GNNs for stock movement prediction, is now accessible on both arXiv and SSRN.

[Oct 2022]   We are invited to present our latest work at the 2022 INFORMS Annual Meeting, Indianapolis, IN. The session will be "Making Sense of AI".

[Jun 2022]   I am awarded the Data Science Fellowship from Jefferies Group LLC. I will join Jefferies as a Software Developer Intern this summer.

[Dec 2021]  Our paper has been accepted and nominated for AIS SIGDSA 2021's Best Paper Award. The paper will be presented at the symposium.