VLDB 2026 Research / reviewers in the wild / expert
Qiuxin Du
dblp:335/9342
· DBLP profile ↗
5ranked-venue papers
2as first author
5since 2021 · last 2026
0009-0000-5991-9482ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 4 · 2 first-author · 4 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | The speculative future of conversational AI for neurocognitive disorder screening: a multi-stakeholder perspective
Jiaxiong Hu, Ruowen Niu, Qiuxin Du, Chenzhuo Xiang, Yirui Zuo, Jihong Jeung, Xiaojuan Ma |
Int. J. Hum. Comput. Stud. | 3 |
| 2025 | AI as a Bridge Across Ages: Exploring The Opportunities of Artificial Intelligence in Supporting Inter-Generational Communication in Virtual RealityabstractInter-generational communication plays a vital role in bridging generational gaps and fostering mutual understanding. However, it remains challenging due to differences in cultural norms, communication styles, and geographical separation. While prior studies have shown Virtual Reality (VR) as a medium that fosters a relaxed atmosphere and companionship, its capacity to address the nuanced dynamics of inter-generational dialogue, such as divergent values and relational intricacies, remains limited. To address this gap, we explored the opportunities of Artificial Intelligence (AI) to support inter-generational communication in VR. We developed three technology probes (e.g., Content Generator, Communication Facilitator, and Info Assistant) in VR and employed them in a probe-based participatory design study with twelve inter-generational pairs. Our results show that AI-powered VR facilitates inter-generational communication by enhancing mutual understanding, fostering conversation fluency, and promoting active participation. We also introduce several challenges when using AI-powered VR in supporting inter-generational communication and derive design implications for future VR platforms, aiming to improve inter-generational communication. Qiuxin Du, Xiaoying Wei, Jiawei Li 0009, Emily Kuang, Dongdong Weng, Mingming Fan 0001 |
Proc. ACM Hum. Comput. Interact. | 1 |
| 2025 | Optimizing locomotion techniques in virtual reality: a comparative analysis of posture, interaction freedom, and methods
Qiuxin Du, Dongdong Weng, Yongtian Wang |
Vis. Comput. | 2 |
| 2024 | LightSword: A Customized Virtual Reality Exergame for Long-Term Cognitive Inhibition Training in Older AdultsabstractThe decline of cognitive inhibition significantly impacts older adults’ quality of life and well-being, making it a vital public health problem in today’s aging society. Previous research has demonstrated that Virtual reality (VR) exergames have great potential to enhance cognitive inhibition among older adults. However, existing commercial VR exergames were unsuitable for older adults’ long-term cognitive training due to the inappropriate cognitive activation paradigm, unnecessary complexity, and unbefitting difficulty levels. To bridge these gaps, we developed a customized VR cognitive training exergame (LightSword) based on Dual-task and Stroop paradigms for long-term cognitive inhibition training among healthy older adults. Subsequently, we conducted an eight-month longitudinal user study with 12 older adults aged 60 years and above to demonstrate the effectiveness of LightSword in improving cognitive inhibition. After the training, the cognitive inhibition abilities of older adults were significantly enhanced, with benefits persisting for 6 months. This result indicated that LightSword has both short-term and long-term effects in enhancing cognitive inhibition. Furthermore, qualitative feedback revealed that older adults exhibited a positive attitude toward long-term training with LightSword, which enhanced their motivation and compliance. Qiuxin Du, Xiaoying Wei, Dongdong Weng, Mingming Fan 0001 |
CHI | 1 |
| 2024 | Motion Generation Review: Exploring Deep Learning for Lifelike Animation with Manifold
Dongdong Weng, Qiuxin Du, Zeyu Tian |
ICXR | 3 |