activity
20162022
most citedPartition-Aware Adaptive Switching Neural Networks for Post-Processing in HEVC

64 citations · 134 across the 10 of their papers we have counts for

collaborators

12 papers

physics.optics2022

Wavy optical grating: wideband reflector and Fabry-Perot BICs

Ma Luo, Feng Wu

In this study, we theoretically and numerically investigate the resonant modes and reflectance of an optical grating consisting of a wavy dielectric slab by applying the spectral e…

eess.IV202231 cited

Model-Guided Multi-Contrast Deep Unfolding Network for MRI Super-resolution Reconstruction

Gang Yang, Li Zhang, Man Zhou +4

Magnetic resonance imaging (MRI) with high resolution (HR) provides more detailed information for accurate diagnosis and quantitative image analysis. Despite the significant advanc…

cs.LG20221 cited

Compressing Deep Graph Neural Networks via Adversarial Knowledge Distillation

Huarui He, Jie Wang, Zhanqiu Zhang +1

Deep graph neural networks (GNNs) have been shown to be expressive for modeling graph-structured data. Nevertheless, the over-stacked architecture of deep graph models makes it dif…

quant-ph202226 cited

Titanium Nitride Film on Sapphire Substrate with Low Dielectric Loss for Superconducting Qubits

Hao Deng, Zhijun Song, Ran Gao +19

Dielectric loss is one of the major decoherence sources of superconducting qubits. Contemporary high-coherence superconducting qubits are formed by material systems mostly consisti…

cs.CL2022

Duality-Induced Regularizer for Semantic Matching Knowledge Graph Embeddings

Jie Wang, Zhanqiu Zhang, Zhihao Shi +3

Semantic matching models -- which assume that entities with similar semantics have similar embeddings -- have shown great power in knowledge graph embeddings (KGE). Many existing s…

cs.AI20221 cited

Rethinking Graph Convolutional Networks in Knowledge Graph Completion

Zhanqiu Zhang, Jie Wang, Jieping Ye +1

Graph convolutional networks (GCNs) -- which are effective in modeling graph structures -- have been increasingly popular in knowledge graph completion (KGC). GCN-based KGC models…