Xian Mo

According to our database, Xian Mo authored at least 30 papers between 2020 and 2026.

Collaborative distances:

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

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

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

Large Language Models-Enhanced Semantic Diffusion for User-Centric Recommendation.

Xian Mo, Yijun Hu, Jun Pang

Proceedings of the ACM Web Conference 2026, 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

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

Intelligible graph contrastive learning with attention-aware for recommendation.

Xian Mo, Zihang Zhao, Xiaoru He, Hang Qi, Hao Liu

Neurocomputing, 2025

Contrastive cross-domain sequential recommendation with attention-aware mechanism.

Wei Zhao, Bo Li, Xian Mo

Complex Intell. Syst., 2025

Attention-aware graph contrastive learning with topological relationship for recommendation.

Xian Mo, Jun Pang, Zihang Zhao

Appl. Soft Comput., 2025

2024

Deep autoencoder architecture with outliers for temporal attributed network embedding.

Xian Mo, Jun Pang, Zhiming Liu

Expert Syst. Appl., 2024

TemporalHAN: Hierarchical attention-based heterogeneous temporal network embedding.

Xian Mo, Binyuan Wan, Rui Tang

Eng. Appl. Artif. Intell., 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

Reinforcement Learning based Battery Energy Neutral Operation for EHWS.

Shuhua Yuan, Yongqi Ge, Jiayuan Wei, Zhenbo Yuan, Rui Liu, Xian Mo

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023

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

Xian Mo, Rui Tang, Hao Liu

Inf. Sci., April, 2023

Exploiting Unfairness With Meta-Set Learning for Chronological Age Estimation.

Chenyang Wang, Zhendong Li, Xian Mo, Xiaofen Tang, Hao Liu

IEEE Trans. Inf. Forensics Secur., 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

Structural Equivariance Self-Supervised Learning for Facial Pose Estimation.

Yaoxing Wang, Heng Zhou, Zhendong Li, Xian Mo, Hao Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

An Energy Prediction Method for Energy Harvesting Wireless Sensor with Dynamically Adjusting Weight Factor.

Zhenbo Yuan, Yongqi Ge, Jiayuan Wei, Shuhua Yuan, Rui Liu, Xian Mo

Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

2022

Effective attributed network embedding with information behavior extraction.

Ganglin Hu, Jun Pang, Xian Mo

PeerJ Comput. Sci., 2022

THS-GWNN: a deep learning framework for temporal network link prediction.

Xian Mo, Jun Pang, Zhiming Liu

Frontiers Comput. Sci., 2022

2021

Effective Link Prediction with Topological and Temporal Information using Wavelet Neural Network Embedding.

Xian Mo, Jun Pang, Zhiming Liu

Comput. J., 2021

2020

Higher-Order Graph Convolutional Embedding for Temporal Networks.

Xian Mo, Jun Pang, Zhiming Liu

Proceedings of the Web Information Systems Engineering - WISE 2020, 2020