Xinrui Cheng — accepted AI-conference papers

2026

SeGO: Sensitivity-Aware Golden Optimization for Large-Scale VLM Quantization

Tianqi Zhao, Xinrui Cheng, Yang Su, Weiyi Lu, Zhaodong Zhang, Zhongjie Wang +1

IJCAI 2026

The deployment of Vision-Language Models (VLMs) faces memory and computational bottlenecks because of the massive parameters and intensive computations. While Post-Training Quantization (PTQ) can reduce these costs, existing methods often overlook the heterogeneity of multimodal input when applied t

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2026

UNOP: Physics-Constrained Unsupervised Neural Operator for Long-Horizon PDE Learning on Generalized Geometries

Xinrui Cheng, Tianqi Zhao, Zhaodong Zhang, Ngai Wong, Zhongjie Wang, Ruihan Hu

IJCAI 2026

Unsupervised learning of neural operators is constrained by numerical instability, causing predictions to diverge in long-horizon rollouts. To address this, we present a physics-constrained unsupervised neural operator for long-horizon PDE learning on generalized geometries (UNOP). This framework re

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