Twin-GAN for Neural Machine Translation. - Jiaxu Zhao 002; Li Huang 002; Ruixuan Sun; Liao Bing; Hong Qu (ICAART (2), 2021)

Multi-Objective Personalization in Multi-Stakeholder Organizational Bulk E-mail: A Field Experiment. - Ruoyan Kong; Charles Chuankai Zhang; Ruixuan Sun; Vishnu Chhabra; Tanushsrisai Nadimpalli; Joseph A. Konstan (Proc. ACM Hum. Comput. Interact., 2022)

Collaborative Online Learning with VR Video: Roles of Collaborative Tools and Shared Video Control. - Qiao Jin 002; Yu Liu 096; Ruixuan Sun; Chen Chen 109; Puqi Zhou; Bo Han 001; Feng Qian 001; Svetlana Yarosh (CHI, 2023)

Getting the Most from Eye-Tracking: User-Interaction Based Reading Region Estimation Dataset and Models. - Ruoyan Kong; Ruixuan Sun; Charles Chuankai Zhang; Chen Chen 109; Sneha Patri; Gayathri Gajjela; Joseph A. Konstan (ETRA, 2023)

We Are in This Together: Quantifying Community Subjective Wellbeing and Resilience. - MeiXing Dong; Ruixuan Sun; Laura Biester; Rada Mihalcea (ICWSM, 2023)

Less Can Be More: Exploring Population Rating Dispositions with Partitioned Models in Recommender Systems. - Ruixuan Sun; Ruoyan Kong; Qiao Jin 002; Joseph A. Konstan (UMAP (Adjunct Publication), 2023)

Neural Reranking-Based Collaborative Filtering by Leveraging Listwise Relative Ranking Information. - Fan Li; Hong Qu; Mingsheng Fu; Liyan Zhang; Fan Zhang 068; Wenyu Chen 001; Ruixuan Sun; Haixian Zhang (IEEE Trans. Syst. Man Cybern. Syst., 2023)

What Are We Optimizing For? A Human-centric Evaluation of Deep Learning-based Movie Recommenders. - Ruixuan Sun; Xinyi Wu; Avinash Akella; Ruoyan Kong; Bart P. Knijnenburg; Joseph A. Konstan (IntRS@RecSys, 2024)

AI-based Human-Centered Recommender Systems: Empirical Experiments and Research Infrastructure. - Ruixuan Sun (RecSys, 2024)

What Are We Optimizing For? A Human-centric Evaluation Of Deep Learning-based Recommender Systems. - Ruixuan Sun; Avinash Akella; Xinyi Wu; Ruoyan Kong; Joseph A. Konstan (CoRR, 2024)

Large Language Models as Conversational Movie Recommenders: A User Study. - Ruixuan Sun; Xinyi Li; Avinash Akella; Joseph A. Konstan (CoRR, 2024)

Supporting Organizations in Improving Employee Bulk E-mail - A Tool Design and Evaluation Study. - Ruoyan Kong; Ruixuan Sun; Charles Chuankai Zhang; Ye Yuan 010; Joseph A. Konstan (Proc. ACM Hum. Comput. Interact., 2024)

Interactive Content Diversity and User Exploration in Online Movie Recommenders: A Field Experiment. - Ruixuan Sun; Avinash Akella; Ruoyan Kong; Moyan Zhou; Joseph A. Konstan (Int. J. Hum. Comput. Interact., 2024)

Multi-Prompting Scenario-based Movie Recommendation with Large Language Models: Real User Case Study. - Ruixuan Sun; Xinyi Li; Avinash Akella; Joseph A. Konstan (CHI Extended Abstracts, 2025)

Why They Come And Go: A Case Study of Productive Flyby Users and Their Rating Integrity Challenge in Movie Recommenders. - Ruixuan Sun; Ruoyan Kong; Ashlee Milton; Daniel Kluver; Ian Paterson; Joseph A. Konstan (CHIIR, 2025)