15 citations · 17 across the 10 of their papers we have counts for
10 papers
Robust Graph Fine-Tuning with Adversarial Graph Prompting
Ziyan Zhang, Bo Jiang, Jin Tang
Parameter-Efficient Fine-Tuning (PEFT) method has emerged as a dominant paradigm for adapting pre-trained GNN models to downstream tasks. However, existing PEFT methods usually exh…
Graph Edge Representation via Tensor Product Graph Convolutional Representation
Bo Jiang, Sheng Ge, Ziyan Zhang +3
Graph Convolutional Networks (GCNs) have been widely studied. The core of GCNs is the definition of convolution operators on graphs. However, existing Graph Convolution (GC) operat…
Unifying Graph Contrastive Learning via Graph Message Augmentation
Ziyan Zhang, Bo Jiang, Jin Tang +1
Graph contrastive learning is usually performed by first conducting Graph Data Augmentation (GDA) and then employing a contrastive learning pipeline to train GNNs. As we know that…
VcT: Visual change Transformer for Remote Sensing Image Change Detection
Bo Jiang, Zitian Wang, Xixi Wang +4
Existing visual change detectors usually adopt CNNs or Transformers for feature representation learning and focus on learning effective representation for the changed regions betwe…
Surface Enhanced Circular Dichroism by Quadrilateral Arranged Nanoholes
Abuduwaili. Abudukelimu, Tursunay. Yibibulla, Muhammad Ikram +1
Circular dichroism (CD) is absorption difference of right-hand and left-hand circularly polarized light by components. CD spectroscopy technique is an important tool for detecting…
Surface Enhanced Circular Dichroism by Electric and Magnetic Dipole Resonance of Cross Shaped Nanoholes
Abuduwaili. Abudukelimu, Tursunay. Yibibulla, Muhammad Ikram +1
The near-field interaction of plasmonic nanostructures and chiral molecules induces circular dichroism in achiral nanostructure. The induced circular dichroism (ICD) strength is se…
Quantitative Study on Circular Dichroism Induction from Chiral Matter-Achiral Nanostructure Near Field Interactions
Abuduwaili Abudukelimu, Ziyan Zhang, Tursunay Yibibulla +1
The circular dichroism (ICD) induced from interaction of chiral molecules with achiral plasmonic metal nanostructures has improved sensitivity of molecular chirality detection. Alt…
Incomplete Graph Representation and Learning via Partial Graph Neural Networks
Bo Jiang, Ziyan Zhang
Graph Neural Networks (GNNs) are gaining increasing attention on graph data learning tasks in recent years. However, in many applications, graph may be coming in an incomplete form…
Inference for Synthetic Control Methods with Multiple Treated Units
Ziyan Zhang
Although the Synthetic Control Method (SCM) is now widely applied, its most commonly-used inference method, placebo test, is often problematic, especially when the treatment is not…
Robust Graph Data Learning via Latent Graph Convolutional Representation
Bo Jiang, Ziyan Zhang, Bin Luo
Graph Convolutional Representation (GCR) has achieved impressive performance for graph data representation. However, existing GCR is generally defined on the input fixed graph whic…