Author

Hei-Ting Chan

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Preprint Oct 2026

Right On Q: Recovering Reasoning under Quantization via Self-Generated Trajectories

Quantization-aware training (QAT) aims to recover reasoning capabilities in low-bit large language models (LLMs). Existing recipes typically supervise the quantized student with the original full-precision model on fixed response sequences. However, the resulting low-bit quantized models still struggle on long-horizon...

Bo-Yuan Zheng, Jing Xiong, Chen-Wei Wu et al. · 0 citations

Preprint Aug 2026

A Cloud-Edge System for Multimodal Clinical Screening in Resource-Constrained Rural Settings

The hybrid system achieves 98--99% diagnostic tool recall with 92--96% precision, matches or exceeds cloud-only baselines on clinical accuracy, and maintains bandwidth-invariant latency (25--35,s) at 4--15x lower token cost.

Hei-Ting Chan, Chen-Wei Wu, Xue-Shen Liu et al. · 0 citations

#machine learning Preprint Aug 2026

MedCache: Efficient and Temporally Valid Memory for Longitudinal Clinical Agents

A benchmark of multi-visit, multi-specialty patient records is introduced that evaluates long-context evidence retrieval, cross-time evidence aggregation, and cross-specialty clinical reasoning and proposes MedCache, a hybrid framework that constructs temporally valid patient memory and organizes evidence into overlapp...

Hei-Ting Chan, Chenwei Wu, Xue-Shen Liu et al. · 1 citation