activity
20182023
most citedA Hierarchical Attention Model for Social Contextual Image Recommendation

74 citations · 155 across the 21 of their papers we have counts for

collaborators

21 papers

cs.LG2023

Reinforcement Federated Learning Method Based on Adaptive OPTICS Clustering

Tianyu Zhao, Junping Du, Yingxia Shao +1

Federated learning is a distributed machine learning technology, which realizes the balance between data privacy protection and data sharing computing. To protect data privacy, fed…

cs.CR2023★ 31 cited

Graph Mining for Cybersecurity: A Survey

Bo Yan, Cheng Yang, Chuan Shi +4

The explosive growth of cyber attacks nowadays, such as malware, spam, and intrusions, caused severe consequences on society. Securing cyberspace has become an utmost concern for o…

cs.IR2022

Cross-modal Search Method of Technology Video based on Adversarial Learning and Feature Fusion

Xiangbin Liu, Junping Du, Meiyu Liang +1

Technology videos contain rich multi-modal information. In cross-modal information search, the data features of different modalities cannot be compared directly, so the semantic ga…

cs.IR2022

Scientific and Technological News Recommendation Based on Knowledge Graph with User Perception

Yuyao Zeng, Junping Du, Zhe Xue +1

Existing research usually utilizes side information such as social network or item attributes to improve the performance of collaborative filtering-based recommender systems. In th…

cs.IR2022

A Relational Triple Extraction Method Based on Feature Reasoning for Technological Patents

Runze Fang, Junping Du, Yingxia Shao +1

The relation triples extraction method based on table filling can address the issues of relation overlap and bias propagation. However, most of them only establish separate table f…

cs.CV2022★ 12 cited

CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer

Zijie Wu, Zhen Zhu, Junping Du +1

In this paper, we aim to devise a universally versatile style transfer method capable of performing artistic, photo-realistic, and video style transfer jointly, without seeing vide…