Fumian Chen

Ph.D. candidate in FSAN @ University of Delaware.

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(302) 501-0777

3rd Floor, Evans Hall

Newark, DE 19716

I am interested in everything about AIML and AI agent building. I am currently working with Prof. Hui Fang at FSAN about fairness evaluation and fair ranking algorithms for information retrieval systems (open web search) using NLP, LLMs, RAG, and other machine learning techniques.

I enjoy working on quantitative research on financial content for bussiness insights and software development to build robust piplines for ML algorithms and search applications.

Having a solid backgound in computer science, I am an experienced data engineer/scientist/architect in building ETL piplines and RESTful APIs, automating data processes, and designing dashboards and reports.

I am also a big fan of Ski ⛷️, Kayak 🚣‍♂️, and Road Trip 🛣️.

news

Jan 01, 2025 Our paper “FAIR-QR : Enhancing Fairness-aware Information Retrieval through Query Refinement” has been accepted to #ecir2025 in Lucca, Italy! Stay tuned for our pre-print.
Sep 20, 2024 Our paper “Toward Automatic Group Membership Annotation for Group Fairness Evaluation” is published at NLDB 2024 and is recognized as one of the best paper contenders.
Jul 11, 2024 The paper I co-authored “Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommendation Systems” is published at SIGIR 2024.
Aug 09, 2023 Our paper “Learn to be Fair without Labels: A Distribution-based Learning Framework for Fair Ranking” is published at ICTIR 2023.
Nov 01, 2022 Successfully defend my dissertation proposal regarding fairness in information retrieval systems.
Sep 01, 2020 Start my Ph.D. study and work with Dr. Hui Fang in Information Retrieval.