About Me

I am a PhD candidate in Information Technology at Rutgers University (MSIS Department), holding a Master's degree in Statistics from Columbia University. My research focuses on advancing the causal inference capabilities of large language models (LLMs), with an emphasis on building interpretable, transparent, and reliable systems that move not only on pattern matching but intervention-based and counterfactual reasoning.

Integrating my backgrounds in computer science, statistics, and business analytics, I apply AI and causal methods to examine complex business phenomena,such as managerial decision-making, stock price dynamics, and customer behavior modeling. My goal is to develop technically rigorous yet practically impactful AI systems that support data-driven decision-making in modern enterprises.

Publications

Preprints

1. "CounterVQA: Evaluating and Improving Counterfactual Reasoning in Vision-Language Models for Video Understanding"
   Yuefei Chen, Jiang Liu, Xiaodong Lin, Ruixiang Tang.
   arXiv, 2025
   [PDF]

Journals

1. ForETaxi: data-driven fleet-oriented charging resource allocation in large-scale electric taxi networks
   Guang Wang, Yuefei Chen, Shuai Wang, Fan Zhang, Desheng Zhang
   ACM Transactions on Sensor Networks, 2023
   [PDF]

Conferences

1. CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models
   Yuefei Chen, Vivek K Singh, Jing Ma, Ruxiang Tang
   AAAI Conference on Artificial Intelligence (AAAI), 2026
   [PDF]
2. A Bidirectional Encoder Representations from Transformers and CNN Based Prediction Model on Competitive Products
   Yuefei Chen, Xinzhe Wang
   Science And Information Conference, 2023
   [PDF]
3. A neural network model of the nba most valued player selection prediction
   Yuefei Chen, Junyan Dai, Changjiang Zhang
   International Conference on Pattern Recognition and Artificial Intelligence (2019)
   [PDF]
4. A novel word cloud graph system design for movie comments
   Tianshu Li, Yuefei Chen, Changjiang Zhang
   International Conference on Cloud Computing, Big Data and Blockchain (2018)
   [PDF]

Teaching

• Teaching Assistant, Information System Security, Rutgers University, Fall 2025.
  Teaching Assistant, Data Mining, Rutgers University, Fall 2025.
  Teaching Assistant, AI methods with Neural Networks and Deep Learning, Rutgers University, Spring 2025.
  Teaching Assistant, Business Data Management, Rutgers University, Fall 2024.
  Teaching Assistant, Information System Security, Rutgers University, Fall 2024.
  Teaching Assistant, Data Mining, Rutgers University, Spring 2024.
  Teaching Assistant, Data Mining, Rutgers University, Fall 2023.
  Teaching Assistant, Data Structures and Algorithms, Rutgers University, Fall 2023.
  

Service

• Conference Reviewer for AAAI, COLM.
• Journal Reviewer for Human-centric Computing and Information Sciences, Smart Health

Awards

• Summer Ph.D. Research Assistants Scholarships (2025)
• Summer Ph.D. Research Assistants Scholarships (2024)