Qiwen Shi

2 accepted papers

2026

mmWaveFlow: Unified Enhancement and Generation of mmWave Human Point Clouds

Chang Su, Beihong Jin, Qiwen Shi, Zhi Wang

CVPR 2026

Millimeter-wave (mmWave) point clouds have attracted increasing interest in human sensing due to their robustness, privacy preservation, and low cost. However, their practical adoption is hindered by the inherent sparsity of data and the lack of large-scale annotated dataset. We revisit generative m

Cited by 0 Source ↗code ↗Scholar ↗

2025

CARE-STaR: Constraint-aware Self-taught Reasoner

Zhiliang Li, Bo Tang, Yijun Niu, Beihong Jin, Qiwen Shi, Yuchen Feng +4

ACL 2025finding

In real-world applications, large language models (LLMs) often need to handle diverse and complex instructions. Specifically, when instructions are subject to multiple constraints, some of which are somewhat ambiguous, LLMs often fail to produce answers that satisfy all constraints, limiting their e…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗