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2020 – today
- 2026
[j16]Xian Mo
, Qingqing Xie, Rui Tang, Jintao Gao:
Hierarchical graph contrastive learning with diffusion-enhanced for multi-behavior recommendation. Inf. Process. Manag. 63(2): 104447 (2026)- 2025
- [j15]Xian Mo, Jun Pang, Zihang Zhao:
Attention-aware graph contrastive learning with topological relationship for recommendation. Appl. Soft Comput. 174: 113008 (2025) - [j14]Xian Mo, Zihang Zhao, Xiaoru He, Hang Qi, Hao Liu:
Intelligible graph contrastive learning with attention-aware for recommendation. Neurocomputing 614: 128781 (2025) - [j13]Xian Mo, Jun Pang, Binyuan Wan, Rui Tang, Hao Liu, Shuyu Jiang:
Multi-relational graph contrastive learning with learnable graph augmentation. Neural Networks 181: 106757 (2025) - [j12]Rui Tang, Yiming Peng, Jingxi Li, Xingshu Chen, Yi Zhang, Xian Mo:
Compact network alignment with mitigated sensitive information exposing in P2P networks: a community partition-based approach. Peer Peer Netw. Appl. 18(3): 122 (2025) - [j11]Shuyu Jiang, Yunxiang Qiu, Xian Mo, Rui Tang, Wei Wang:
An Effective Node Injection Approach for Attacking Social Network Alignment. IEEE Trans. Inf. Forensics Secur. 20: 589-604 (2025) - [j10]Xian Mo, Fei Liu, Rui Tang, Jin-Tao Gao, Hao Liu:
Knowledge-Aware Diffusion-Enhanced Multimedia Recommendation. IEEE Trans. Multim. 27: 9136-9146 (2025) - [j9]Xian Mo, Guanghua Ding, Rui Tang, Hao Liu:
Bipartite Graphs Contrastive Learning With Knowledge-Aware Diffusion-Enhanced. IEEE Trans. Netw. Sci. Eng. 12(5): 4182-4195 (2025) - [i2]Xian Mo, Fei Liu, Rui Tang, Jintao, Gao, Hao Liu:
Knowledge-aware Diffusion-Enhanced Multimedia Recommendation. CoRR abs/2507.16396 (2025) - 2024
- [j8]Xian Mo, Binyuan Wan, Rui Tang, Junkai Ding, Guangdi Liu:
Attention-based network embedding with higher-order weights and node attributes. CAAI Trans. Intell. Technol. 9(2): 440-451 (2024) - [j7]Xian Mo, Binyuan Wan, Rui Tang:
TemporalHAN: Hierarchical attention-based heterogeneous temporal network embedding. Eng. Appl. Artif. Intell. 133: 108376 (2024) - [j6]Xian Mo, Jun Pang, Zhiming Liu:
Deep autoencoder architecture with outliers for temporal attributed network embedding. Expert Syst. Appl. 240: 122596 (2024) - [c4]Shuhua Yuan, Yongqi Ge, Jiayuan Wei, Zhenbo Yuan, Rui Liu, Xian Mo:
Reinforcement Learning based Battery Energy Neutral Operation for EHWS. CSCWD 2024: 870-876 - 2023
- [j5]Xian Mo, Rui Tang, Hao Liu:
A relation-aware heterogeneous graph convolutional network for relationship prediction. Inf. Sci. 623: 311-323 (2023) - [j4]Chenyang Wang, Zhendong Li, Xian Mo, Xiaofen Tang, Hao Liu:
Exploiting Unfairness With Meta-Set Learning for Chronological Age Estimation. IEEE Trans. Inf. Forensics Secur. 18: 5678-5690 (2023) - [c3]Zhenbo Yuan, Yongqi Ge, Jiayuan Wei, Shuhua Yuan, Rui Liu, Xian Mo:
An Energy Prediction Method for Energy Harvesting Wireless Sensor with Dynamically Adjusting Weight Factor. ICA3PP (6) 2023: 465-477 - [c2]Yaoxing Wang, Heng Zhou, Zhendong Li, Xian Mo, Hao Liu:
Structural Equivariance Self-Supervised Learning for Facial Pose Estimation. ICME 2023: 2651-2656 - [i1]Shuyu Jiang, Yunxiang Qiu, Xian Mo, Rui Tang, Wei Wang:
A Low-cost, High-impact Node Injection Approach for Attacking Social Network Alignment. CoRR abs/2312.02790 (2023) - 2022
- [j3]Xian Mo, Jun Pang, Zhiming Liu:
THS-GWNN: a deep learning framework for temporal network link prediction. Frontiers Comput. Sci. 16(2): 162304 (2022) - [j2]Ganglin Hu, Jun Pang, Xian Mo:
Effective attributed network embedding with information behavior extraction. PeerJ Comput. Sci. 8: e1030 (2022) - 2021
- [j1]Xian Mo, Jun Pang, Zhiming Liu:
Effective Link Prediction with Topological and Temporal Information using Wavelet Neural Network Embedding. Comput. J. 64(3): 325-336 (2021) - 2020
- [c1]Xian Mo, Jun Pang, Zhiming Liu:
Higher-Order Graph Convolutional Embedding for Temporal Networks. WISE (1) 2020: 3-15
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