Rui Tang

According to our database, Rui Tang authored at least 41 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Diffusion-Based Multi-Agent With Reinforcement Learning for Multimodal-Based Recommendation.

Yijun Hu, Rui Tang, Hao Liu, Xian Mo

IEEE Trans. Big Data, June, 2026

Large language models for spreading dynamics in complex systems.

Shuyu Jiang, Hao Ren, Yichang Gao, Yi-Cheng Zhang, Li Qi, Dayong Xiao, Jie Fan, Rui Tang, Wei Wang

CoRR, February, 2026

Conditional guided diffusion model in latent space for social recommendation.

Yijun Hu, Rui Tang, Xian Mo

Appl. Intell., January, 2026

Modal-aware diffusion-enhanced with multi-level negative sampling for multimodal-based recommendation.

Yijun Hu, Rui Tang, Shuai Li, Xian Mo

Knowl. Based Syst., 2026

Diffusion-enhanced graph contrastive learning with hierarchical negative sampling for link prediction.

Tingting Dong, Rui Tang, Xian Mo

Knowl. Based Syst., 2026

Enhancing Heterogeneous Graph Learning with Semantic-Aware Meta-Path Diffusion and Dual Optimization.

Guanghua Ding, Rui Tang, Xian Mo

Knowl. Based Syst., 2026

GDiffuASR: Sequential recommendation with guided diffusion augmentation.

Xian Mo, Hang Qi, Yongqiang Nai, Rui Tang

Inf. Sci., 2026

EvoJail: Evolutionary diverse jailbreak prompt generation for large language models.

Rui Tang, Kaiyu Xu, Pengsen Cheng, Hao Ren, Haizhou Wang, Shuyu Jiang

Inf. Process. Manag., 2026

Hierarchical graph contrastive learning with diffusion-enhanced for multi-behavior recommendation.

Xian Mo, Qingqing Xie, Rui Tang, Jintao Gao

Inf. Process. Manag., 2026

Diffusion-enhanced negative sampling in multimodal contrastive learning for recommendation.

Qingqing Xie, Rui Tang, Xian Mo

Expert Syst. Appl., 2026

2025

Knowledge-aware Diffusion-Enhanced Multimedia Recommendation.

Xian Mo, Fei Liu, Rui Tang, Jintao, Gao, Hao Liu

CoRR, July, 2025

Compact network alignment with mitigated sensitive information exposing in P2P networks: a community partition-based approach.

Rui Tang, Yiming Peng, Jingxi Li, Xingshu Chen, Yi Zhang, Xian Mo

Peer Peer Netw. Appl., June, 2025

Decomposition, Synthesis, and Attack: A Multi-Instruction Fusion Method for Jailbreaking LLMs.

Shuyu Jiang, Xingshu Chen, Kaiyu Xu, Liangguo Chen, Hao Ren, Rui Tang

IEEE Internet Things J., April, 2025

Network Alignment.

Rui Tang, Ziyun Yong, Shuyu Jiang, Xingshu Chen, Yaofang Liu, Yi-Cheng Zhang, Gui-Quan Sun, Wei Wang

CoRR, April, 2025

Bipartite Graphs Contrastive Learning With Knowledge-Aware Diffusion-Enhanced.

Xian Mo, Guanghua Ding, Rui Tang, Hao Liu

IEEE Trans. Netw. Sci. Eng., 2025

Knowledge-Aware Diffusion-Enhanced Multimedia Recommendation.

Xian Mo, Fei Liu, Rui Tang, Jin-Tao Gao, Hao Liu

IEEE Trans. Multim., 2025

An Effective Node Injection Approach for Attacking Social Network Alignment.

Shuyu Jiang, Yunxiang Qiu, Xian Mo, Rui Tang, Wei Wang

IEEE Trans. Inf. Forensics Secur., 2025

Multi-relational graph contrastive learning with learnable graph augmentation.

Xian Mo, Jun Pang, Binyuan Wan, Rui Tang, Hao Liu, Shuyu Jiang

Neural Networks, 2025

A Toxic Euphemism Detection framework for online social network based on Semantic Contrastive Learning and dual channel knowledge augmentation.

Gang Zhou, Haizhou Wang, Di Jin, Wenxian Wang, Shuyu Jiang, Rui Tang, Xingshu Chen

Inf. Process. Manag., 2025

ReZG: Retrieval-augmented zero-shot counter narrative generation for hate speech.

Shuyu Jiang, Wenyi Tang, Xingshu Chen, Rui Tang, Haizhou Wang, Wenxian Wang

Neurocomputing, 2025

PPNA: Enabling Privacy-Preserving and Efficient Social Network Alignment.

Xinyi Li, Rui Tang, Hao Ren, Haizhou Wang, Xingshu Chen, Meng Li, Hongwei Li

Proceedings of the 2025 IEEE Global Communications Conference, 2025

PrivDNFIS: Privacy-preserving and Efficient Deep Neuro-Fuzzy Inference System.

Hao Ren, Xiao Lan, Rui Tang, Xingshu Chen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Detecting Offensive Language Based on Graph Attention Networks and Fusion Features.

Zhenxiong Miao, Xingshu Chen, Haizhou Wang, Rui Tang, Zhou Yang, Tiemai Huang, Wenyi Tang

IEEE Trans. Comput. Soc. Syst., February, 2024

TemporalHAN: Hierarchical attention-based heterogeneous temporal network embedding.

Xian Mo, Binyuan Wan, Rui Tang

Eng. Appl. Artif. Intell., 2024

Empowering Data Owners: An Efficient and Verifiable Scheme for Secure Data Deletion.

Zhenwu Xu, Xingshu Chen, Xiao Lan, Rui Tang, Shuyu Jiang, Changxiang Shen

Comput. Secur., 2024

KubeFuzzer: Automating RESTful API Vulnerability Detection in Kubernetes.

Tao Zheng, Rui Tang, Xingshu Chen, Changxiang Shen

Comput. Mater. Continua, 2024

Attention-based network embedding with higher-order weights and node attributes.

Xian Mo, Binyuan Wan, Rui Tang, Junkai Ding, Guangdi Liu

CAAI Trans. Intell. Technol., 2024

2023

Interlayer Link Prediction in Multiplex Social Networks Based on Multiple Types of Consistency Between Embedding Vectors.

Rui Tang, Zhenxiong Miao, Shuyu Jiang, Xingshu Chen, Haizhou Wang, Wei Wang

IEEE Trans. Cybern., April, 2023

A relation-aware heterogeneous graph convolutional network for relationship prediction.

Xian Mo, Rui Tang, Hao Liu

Inf. Sci., April, 2023

A Low-cost, High-impact Node Injection Approach for Attacking Social Network Alignment.

Shuyu Jiang, Yunxiang Qiu, Xian Mo, Rui Tang, Wei Wang

CoRR, 2023

Prompt Packer: Deceiving LLMs through Compositional Instruction with Hidden Attacks.

Shuyu Jiang, Xingshu Chen, Rui Tang

CoRR, 2023

RAUCG: Retrieval-Augmented Unsupervised Counter Narrative Generation for Hate Speech.

Shuyu Jiang, Wenyi Tang, Xingshu Chen, Rui Tang, Haizhou Wang, Wenxian Wang

CoRR, 2023

DKCS: A Dual Knowledge-Enhanced Abstractive Cross-Lingual Summarization Method Based on Graph Attention Networks.

Shuyu Jiang, Dengbiao Tu, Xingshu Chen, Rui Tang, Wenxian Wang, Haizhou Wang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

Network structural perturbation against interlayer link prediction.

Rui Tang, Shuyu Jiang, Xingshu Chen, Wenxian Wang, Wei Wang

Knowl. Based Syst., 2022

ClueGraphSum: Let Key Clues Guide the Cross-Lingual Abstractive Summarization.

Shuyu Jiang, Dengbiao Tu, Xingshu Chen, Rui Tang, Wenxian Wang, Haizhou Wang

CoRR, 2022

Detecting Offensive Language on Social Networks: An End-to-end Detection Method based on Graph Attention Networks.

Zhenxiong Miao, Xingshu Chen, Haizhou Wang, Rui Tang, Zhou Yang, Wenyi Tang

CoRR, 2022

Interlayer link prediction based on multiple network structural attributes.

Rui Tang, Xingshu Chen, Chuancheng Wei, Qindong Li, Wenxian Wang, Haizhou Wang, Wei Wang

Comput. Networks, 2022

2021

User Identification Based on Integrating Multiple User Information across Online Social Networks.

Wenjing Zeng, Rui Tang, Haizhou Wang, Xingshu Chen, Wenxian Wang

Secur. Commun. Networks, 2021

Improving adversarial robustness of deep neural networks by using semantic information.

Lina Wang, Xingshu Chen, Rui Tang, Yawei Yue, Yi Zhu, Xuemei Zeng, Wei Wang

Knowl. Based Syst., 2021

2020

Interlayer link prediction in multiplex social networks: An iterative degree penalty algorithm.

Rui Tang, Shuyu Jiang, Xingshu Chen, Haizhou Wang, Wenxian Wang, Wei Wang

Knowl. Based Syst., 2020

Interlayer Link Prediction in Multiplex Social Networks Based on Multiple Types of Consistency between Embedding Vectors.

Rui Tang, Zhenxiong Miao, Shuyu Jiang, Xingshu Chen, Haizhou Wang, Wenxian Wang, Mingyong Yin, Wei Wang

CoRR, 2020