A differentiable Sandpile Stabilization Layer (SSL) and congestion-aware objectives designed to redistribute excess load and manage stabilization costs are proposed and Experiments on long-range benchmarks show that targeting sandpile-identified bottlenecks mitigates representation collapse and improves over standard b...
Yang Shi, Li-Xian Chen, Jingchao Wang et al.· Proceedings of the 32nd ACM...· 0 citations
Message-passing graph neural networks (MP-GNNs) are widely used for learning on relational data. However, their performance drops on tasks requiring long-range interactions due to over-squashing, where exponential information compression overwhelms fixed-width embeddings. While existing analyses often attribute this to...
Yang Shi, Lixian Chen, Jingchao Wang et al.· Proceedings of the 32nd ACM...· 0 citations
The Traveling Salesman Problem (TSP) is a classic NP-hard combinatorial optimization problem where traditional intelligent algorithms often suffer from slow convergence and premature convergence to local optima. This paper proposes a novel hybrid optimization framework (HGA-PSO-ACO) that integrates the global explorati...
Xuhang Chen, Zhengrui Zhang, Ze-Hong Chen et al.· 2026 3rd World Conference on...· 0 citations
This approach combines local editing and background preservation without external or user-provided spatial masks and without model fine-tuning, and achieves the strongest reported preservation metrics, including 27.44~dB PSNR and 0.055 LPIPS.
Yang Shi, Liangsi Lu, Minzhe Guo et al.· 0 citations
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