Towards Adaptive Social Comparison for Education. - Sergey A. Sosnovsky; Qixiang Fang; Benjamin de Vries; Sven Luehof; Fred Wiegant (EC-TEL, 2020)

ASReview: Open Source Software for Efficient and Transparent Active Learning for Systematic Reviews. - Rens van de Schoot; Jonathan de Bruin; Raoul Schram; Parisa Zahedi; Jan de Boer; Felix Weijdema; Bianca Kramer; Martijn Huijts; Maarten Hoogerwerf; Gerbrich Ferdinands; Albert Harkema; Joukje Willemsen; et al. (CoRR, 2020)

The Role of Time, Weather and Google Trends in Understanding and Predicting Web Survey Response. - Qixiang Fang; Joep Burger; Ralph Meijers; Kees van Berkel 003 (CoRR, 2020)

Assessing the Reliability of Word Embedding Gender Bias Measures. - Yupei Du; Qixiang Fang; Dong Nguyen 002 (EMNLP (1), 2021)

An open source machine learning framework for efficient and transparent systematic reviews. - Rens van de Schoot; Jonathan de Bruin; Raoul Schram; Parisa Zahedi; Jan de Boer; Felix Weijdema; Bianca Kramer; Martijn Huijts; Maarten Hoogerwerf; Gerbrich Ferdinands; Albert Harkema; Joukje Willemsen; et al. (Nat. Mach. Intell., 2021)

Modelling Stance Detection as Textual Entailment Recognition and Leveraging Measurement Knowledge from Social Sciences. - Qixiang Fang; Anastasia Giachanou; Ayoub Bagheri (CoRR, 2022)

Evaluating the construct validity of text embeddings with application to survey questions. - Qixiang Fang; Dong Nguyen 002; Daniel L. Oberski (EPJ Data Sci., 2022)

On Text-based Personality Computing: Challenges and Future Directions. - Qixiang Fang; Anastasia Giachanou; Ayoub Bagheri; Laura Boeschoten; Erik-Jan van Kesteren; Mahdi Shafiee Kamalabad; Daniel L. Oberski (ACL (Findings), 2023)

Epicurus at SemEval-2023 Task 4: Improving Prediction of Human Values behind Arguments by Leveraging Their Definitions. - Christian Fang; Qixiang Fang; Dong Nguyen 002 (SemEval@ACL, 2023)

Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP. - Anya Belz; Craig Thomson; Ehud Reiter; Gavin Abercrombie; Jose Maria Alonso-Moral; Mohammad Arvan; Jackie Chi Kit Cheung; Mark Cieliebak; Elizabeth Clark; Kees van Deemter; Tanvi Dinkar; Ondrej Dusek; et al. (CoRR, 2023)

Designing and Evaluating General-Purpose User Representations Based on Behavioral Logs from a Measurement Process Perspective: A Case Study with Snapchat. - Qixiang Fang; Zhihan Zhou 001; Francesco Barbieri; Yozen Liu; Leonardo Neves; Dong Nguyen 002; Daniel L. Oberski; Maarten W. Bos; Ron Dotsch (CoRR, 2023)

General-Purpose User Modeling with Behavioral Logs: A Snapchat Case Study. - Qixiang Fang; Zhihan Zhou 001; Francesco Barbieri; Yozen Liu; Leonardo Neves; Dong Nguyen 002; Daniel L. Oberski; Maarten W. Bos; Ron Dotsch (SIGIR, 2024)

USE: Dynamic User Modeling with Stateful Sequence Models. - Zhihan Zhou 001; Qixiang Fang; Leonardo Neves; Francesco Barbieri; Yozen Liu; Han Liu 001; Maarten W. Bos; Ron Dotsch (CoRR, 2024)

PATCH - Psychometrics-AssisTed benCHmarking of Large Language Models: A Case Study of Mathematics Proficiency. - Qixiang Fang; Daniel L. Oberski; Dong Nguyen 002 (CoRR, 2024)