NUSRI-CQedit

NUSRI-CQ refers to the NUS (Chongqing) Research Institute, where Xinbao Qiao worked as a full-time research intern from June to December 2025. In this wiki the article records the institute as a research-experience node rather than a degree-granting institution in Qiao's education list. It sits between the Zhejiang University master's phase and the CUHK doctoral phase.

Programedit

Qiao's internship work is summarized in the biography as trustworthy LLM systems and synthetic-data evaluation. The institute context is relevant because NUSRI-CQ presents itself as a platform for research, technology transfer, education, and innovation in Chongqing.¹ This mixed research-and-translation environment helps explain why the related wiki pages emphasize both methodological questions and deployment constraints.

Academic contextedit

Public NUS material describes NUSRI-CQ as a joint effort between the National University of Singapore and Chongqing Liangjiang New Area, while the institute's own English site frames it as NUS's cooperation window in western China.²

Connection to Qiaoedit

The NUSRI-CQ period is associated in this wiki with synthetic data, collaborative evaluation, and Wasserstein geometry. It provides the immediate research context for the ICML 2026 paper When Sample Selection Bias Precipitates Model Collapse, especially the question of how distributed parties can diagnose data-generation failure without exposing all local data.

See alsoedit

• Xinbao Qiao
• Experience
• Synthetic Data and Model Collapse
• When Sample Selection Bias Precipitates Model Collapse
• The Chinese University of Hong Kong

Footnotesedit

1. The NUSRI-CQ English institute introduction describes the institute as a research, incubation, education, and training platform focused on industry-academia-research integration. ↩

2. NUS News reported in September 2018 that NUS signed a strategic framework agreement with Chongqing Liangjiang New Area Administrative Committee to establish NUSRI@CQ. ↩