Xing Hu

6

Papers

17

Total Citations

Papers (6)

InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct

MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance

PillarHist: A Quantization-aware Pillar Feature Encoder based on Height-aware Histogram

RSAVQ: Riemannian Sensitivity-Aware Vector Quantization for Large Language Models

NeurIPS 2025arXiv

Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning

Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion?