most citedResilience Inference for Supply Chains with Hypergraph Neural Network

1 citations · 2 across the 2 of their papers we have counts for

collaborators

5 papers

cs.LG20251 cited

Resilience Inference for Supply Chains with Hypergraph Neural Network

Zetian Shen, Hongjun Wang, Jiyuan Chen +1

Supply chains are integral to global economic stability, yet disruptions can swiftly propagate through interconnected networks, resulting in substantial economic impacts. Accurate…

eess.IV2025

HarmoQ: Harmonized Post-Training Quantization for High-Fidelity Image

Hongjun Wang, Jiyuan Chen, Xuan Song +1

Post-training quantization offers an efficient pathway to deploy super-resolution models, yet existing methods treat weight and activation quantization independently, missing their…

cs.CV2025

Not All Degradations Are Equal: A Targeted Feature Denoising Framework for Generalizable Image Super-Resolution

Hongjun Wang, Jiyuan Chen, Zhengwei Yin +2

Generalizable Image Super-Resolution aims to enhance model generalization capabilities under unknown degradations. To achieve this goal, the models are expected to focus only on im…

stat.ML2025

Continuous Domain Generalization

Zekun Cai, Yiheng Yao, Guangji Bai +4

Real-world data distributions often shift continuously across multiple latent factors such as time, geography, and socioeconomic contexts. However, existing domain generalization a…

cs.LG20241 cited

Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting

Hongjun Wang, Jiyuan Chen, Lingyu Zhang +2

Spatiotemporal Graph Neural Networks (ST-GNNs) and Transformers have shown significant promise in traffic forecasting by effectively modeling temporal and spatial correlations. How…