activity
20202024
most citedFinding Global Homophily in Graph Neural Networks When Meeting Heterophily

38 citations · 41 across the 6 of their papers we have counts for

collaborators

5 papers

cs.SE2024

Structure-aware Fine-tuning for Code Pre-trained Models

Jiayi Wu, Renyu Zhu, Nuo Chen +3

Over the past few years, we have witnessed remarkable advancements in Code Pre-trained Models (CodePTMs). These models achieved excellent representation capabilities by designing s…

cs.CY2024

Personalized Programming Guidance based on Deep Programming Learning Style Capturing

Yingfan Liu, Renyu Zhu, Ming Gao

With the rapid development of big data and AI technology, programming is in high demand and has become an essential skill for students. Meanwhile, researchers also focus on boostin…

cs.CV20231 cited

Exchanging-based Multimodal Fusion with Transformer

Renyu Zhu, Chengcheng Han, Yong Qian +5

We study the problem of multimodal fusion in this paper. Recent exchanging-based methods have been proposed for vision-vision fusion, which aim to exchange embeddings learned from…

cs.LG202238 cited

Finding Global Homophily in Graph Neural Networks When Meeting Heterophily

Xiang Li, Renyu Zhu, Yao Cheng +4

We investigate graph neural networks on graphs with heterophily. Some existing methods amplify a node's neighborhood with multi-hop neighbors to include more nodes with homophily.…

cs.IR2020

On Disambiguating Authors: Collaboration Network Reconstruction in a Bottom-up Manner

Na Li, Renyu Zhu, Xiaoxu Zhou +4

Author disambiguation arises when different authors share the same name, which is a critical task in digital libraries, such as DBLP, CiteULike, CiteSeerX, etc. While the state-of-…