Xian Mo

29 papers A* 1A 1C 1Journal 24Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Conditional guided diffusion model in latent space for social recommendation.
Appl. Intell.
Yijun Hu, Rui Tang, Xian Mo
2026 J jnl
Diffusion-enhanced negative sampling in multimodal contrastive learning for recommendation.
Expert Syst. Appl.
Qingqing Xie, Rui Tang, Xian Mo
2026 J jnl
Enhancing Heterogeneous Graph Learning with Semantic-Aware Meta-Path Diffusion and Dual Optimization.
Knowl. Based Syst.
Guanghua Ding, Rui Tang, Xian Mo
2026 J jnl
GDiffuASR: Sequential recommendation with guided diffusion augmentation.
Inf. Sci.
Xian Mo, Hang Qi, Yongqiang Nai, Rui Tang
2026 J jnl
Hierarchical graph contrastive learning with diffusion-enhanced for multi-behavior recommendation.
Inf. Process. Manag.
Xian Mo, Qingqing Xie, Rui Tang, Jintao Gao
2026 A* conf
Large Language Models-Enhanced Semantic Diffusion for User-Centric Recommendation.
WWW
Xian Mo, Yijun Hu, Jun Pang
2026 J jnl
Modal-aware diffusion-enhanced with multi-level negative sampling for multimodal-based recommendation.
Knowl. Based Syst.
Yijun Hu, Rui Tang, Shuai Li, Xian Mo
2025 J jnl
An Effective Node Injection Approach for Attacking Social Network Alignment.
IEEE Trans. Inf. Forensics Secur.
Shuyu Jiang, Yunxiang Qiu, Xian Mo, Rui Tang, Wei Wang
2025 J jnl
Attention-aware graph contrastive learning with topological relationship for recommendation.
Appl. Soft Comput.
Xian Mo, Jun Pang, Zihang Zhao
2025 J jnl
Bipartite Graphs Contrastive Learning With Knowledge-Aware Diffusion-Enhanced.
IEEE Trans. Netw. Sci. Eng.
Xian Mo, Guanghua Ding, Rui Tang, Hao Liu
2025 J jnl
Compact network alignment with mitigated sensitive information exposing in P2P networks: a community partition-based approach.
Peer Peer Netw. Appl.
Rui Tang, Yiming Peng, Jingxi Li, Xingshu Chen, Yi Zhang, Xian Mo
2025 J jnl
Contrastive cross-domain sequential recommendation with attention-aware mechanism.
Complex Intell. Syst.
Wei Zhao, Bo Li, Xian Mo
2025 J jnl
Intelligible graph contrastive learning with attention-aware for recommendation.
Neurocomputing
Xian Mo, Zihang Zhao, Xiaoru He, Hang Qi, Hao Liu
2025 J jnl
Knowledge-Aware Diffusion-Enhanced Multimedia Recommendation.
IEEE Trans. Multim.
Xian Mo, Fei Liu, Rui Tang, Jin-Tao Gao, Hao Liu
2025 J jnl
Knowledge-aware Diffusion-Enhanced Multimedia Recommendation.
CoRR
Xian Mo, Fei Liu, Rui Tang, Jintao, Gao, Hao Liu
2025 J jnl
Multi-relational graph contrastive learning with learnable graph augmentation.
Neural Networks
Xian Mo, Jun Pang, Binyuan Wan, Rui Tang, Hao Liu, Shuyu Jiang
2024 J jnl
Attention-based network embedding with higher-order weights and node attributes.
CAAI Trans. Intell. Technol.
Xian Mo, Binyuan Wan, Rui Tang, Junkai Ding, Guangdi Liu
2024 J jnl
Deep autoencoder architecture with outliers for temporal attributed network embedding.
Expert Syst. Appl.
Xian Mo, Jun Pang, Zhiming Liu
2024 C conf
Reinforcement Learning based Battery Energy Neutral Operation for EHWS.
CSCWD
Shuhua Yuan, Yongqi Ge, Jiayuan Wei, Zhenbo Yuan, Rui Liu, Xian Mo
2024 J jnl
TemporalHAN: Hierarchical attention-based heterogeneous temporal network embedding.
Eng. Appl. Artif. Intell.
Xian Mo, Binyuan Wan, Rui Tang
2023 J jnl
A Low-cost, High-impact Node Injection Approach for Attacking Social Network Alignment.
CoRR
Shuyu Jiang, Yunxiang Qiu, Xian Mo, Rui Tang, Wei Wang
2023 J jnl
A relation-aware heterogeneous graph convolutional network for relationship prediction.
Inf. Sci.
Xian Mo, Rui Tang, Hao Liu
2023 — conf
An Energy Prediction Method for Energy Harvesting Wireless Sensor with Dynamically Adjusting Weight Factor.
ICA3PP (6)
Zhenbo Yuan, Yongqi Ge, Jiayuan Wei, Shuhua Yuan, Rui Liu, Xian Mo
2023 J jnl
Exploiting Unfairness With Meta-Set Learning for Chronological Age Estimation.
IEEE Trans. Inf. Forensics Secur.
Chenyang Wang, Zhendong Li, Xian Mo, Xiaofen Tang, Hao Liu
2023 A conf
Structural Equivariance Self-Supervised Learning for Facial Pose Estimation.
ICME
Yaoxing Wang, Heng Zhou, Zhendong Li, Xian Mo, Hao Liu
2022 J jnl
Effective attributed network embedding with information behavior extraction.
PeerJ Comput. Sci.
Ganglin Hu, Jun Pang, Xian Mo
2022 J jnl
THS-GWNN: a deep learning framework for temporal network link prediction.
Frontiers Comput. Sci.
Xian Mo, Jun Pang, Zhiming Liu
2021 J jnl
Effective Link Prediction with Topological and Temporal Information using Wavelet Neural Network Embedding.
Comput. J.
Xian Mo, Jun Pang, Zhiming Liu
2020 — conf
Higher-Order Graph Convolutional Embedding for Temporal Networks.
WISE (1)
Xian Mo, Jun Pang, Zhiming Liu