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Author

Wei Dong

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Preprint Aug 2026

Group-Shared Low-Rank Approximation for Mobile-Efficient Pointwise Convolutions in Large-Kernel CNNs

Channel Group-Shared (CGS) low-rank approximation, a novel Singular Value Decomposition (SVD)-based parameter-sharing strategy, enables the feasible deployment of pre-trained large-kernel CNN models on edge devices, thereby bridging the gap between high-performance vision models and practical edge deployment.

Hao Luo, Yi-Ting Yang, Wen-Yi Zhao et al. · 0 citations
#artificial intelligence Preprint Aug 2026

When and What to Teach: Budget-Aware Online Adaptation for Web Agents

A budget-aware framework that systematically orchestrates when and what to teach and integrates a solvability-aware teacher gate to dictate the teacher model and a score-guided turn selection mechanism to decide what informative turns to retain is proposed.

Jian-Wei Zhang, Si-Han Cao, Peng-Cheng Zheng et al. · 0 citations
Preprint Jul 2026

Geometry-aware Incremental Neural Operator for Long-Horizon PDE prediction

A geometry-aware incremental neural operator (GeoIncNO) for stable long-horizon PDE prediction and a mean--fluctuation decoupled reconstruction mechanism, where stable mean structures and dynamic fluctuations are fused separately, and phase correction is applied only to the zero-mean fluctuation component.

Jia-Quan Zhang, Shuxu Chen, Haifan Meng et al. · 0 citations
Jul 2026

HERO: History-Enriched Rollout Training for Long-Horizon Autoregressive Neural Operators

Experiments show that HERO consistently improves long-horizon accuracy, stable rollout length, and out-of-distribution robustness at no inference-time cost, indicating that history-enriched relative supervision is effective for stabilizing long-horizon autoregressive prediction.

Jia-Quan Zhang, Shuxu Chen, Haifan Meng et al. · 0 citations

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