A Hybrid Optimization Approach for Residential Energy Management. - Yantai Huang; Jinjiang Zhang; Yujie Mo; Shuijin Lu; Junchao Ma (IEEE Access, 2020)

Simple Unsupervised Graph Representation Learning. - Yujie Mo; Liang Peng; Jie Xu 007; Xiaoshuang Shi; Xiaofeng Zhu 001 (AAAI, 2022)

Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity. - Jie Xu 044; Chao Li 034; Yazhou Ren 001; Liang Peng; Yujie Mo; Xiaoshuang Shi; Xiaofeng Zhu 001 (AAAI, 2022)

Multi-view Unsupervised Graph Representation Learning. - Jiangzhang Gan; Rongyao Hu; Mengmeng Zhan; Yujie Mo; Yingying Wan; Xiaofeng Zhu 001 (IJCAI, 2022)

Simple Self-supervised Multiplex Graph Representation Learning. - Yujie Mo; Yuhuan Chen; Liang Peng; Xiaoshuang Shi; Xiaofeng Zhu 001 (ACM Multimedia, 2022)

Dementia analysis from functional connectivity network with graph neural networks. - Lujing Wang; Weifeng Yuan; Lu Zeng; Jie Xu; Yujie Mo; Xinxiang Zhao; Liang Peng (Inf. Process. Manag., 2022)

Multiplex Graph Representation Learning via Common and Private Information Mining. - Yujie Mo; Zongqian Wu; Yuhuan Chen; Xiaoshuang Shi; Heng Tao Shen; Xiaofeng Zhu 001 (AAAI, 2023)

Disentangled Multiplex Graph Representation Learning. - Yujie Mo; Yajie Lei; Jialie Shen 001; Xiaoshuang Shi; Heng Tao Shen; Xiaofeng Zhu 001 (ICML, 2023)

Multiplex Graph Representation Learning Via Dual Correlation Reduction. - Yujie Mo; Yuhuan Chen; Yajie Lei; Liang Peng; Xiaoshuang Shi; Changan Yuan 001; Xiaofeng Zhu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Self-Training Based Few-Shot Node Classification by Knowledge Distillation. - Zongqian Wu; Yujie Mo; Peng Zhou 011; Shangbo Yuan; Xiaofeng Zhu 001 (AAAI, 2024)

Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View. - Yujie Mo; Feiping Nie 001; Ping Hu 001; Heng Tao Shen; Zheng Zhang 006; Xinchao Wang; Xiaofeng Zhu 001 (ICLR, 2024)

Exploring the Role of Node Diversity in Directed Graph Representation Learning. - Jincheng Huang 005; Yujie Mo; Ping Hu 001; Xiaoshuang Shi; Shangbo Yuan; Zeyu Zhang; Xiaofeng Zhu 001 (IJCAI, 2024)

Multiplex Graph Representation Learning via Bi-level Optimization. - Yudi Huang; Yujie Mo; Yujing Liu; Ci Nie; Guoqiu Wen; Xiaofeng Zhu 001 (IJCAI, 2024)

Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective. - Yujie Mo; Zhihe Lu; Runpeng Yu; Xiaofeng Zhu 001; Xinchao Wang (NeurIPS, 2024)

ELU-GCN: Effectively Label-Utilizing Graph Convolutional Network. - Jincheng Huang 005; Yujie Mo; Xiaoshuang Shi; Lei Feng 006; Xiaofeng Zhu 001 (CoRR, 2024)

Multigraph Fusion for Dynamic Graph Convolutional Network. - Jiangzhang Gan; Rongyao Hu; Yujie Mo; Zhao Kang 001; Liang Peng; Yonghua Zhu; Xiaofeng Zhu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Reverse Graph Learning for Graph Neural Network. - Liang Peng; Rongyao Hu; Fei Kong; Jiangzhang Gan; Yujie Mo; Xiaoshuang Shi; Xiaofeng Zhu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

GRLC: Graph Representation Learning With Constraints. - Liang Peng; Yujie Mo; Jie Xu 044; Jialie Shen 001; Xiaoshuang Shi; Xiaoxiao Li; Heng Tao Shen; Xiaofeng Zhu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multiplex Graph Representation Learning with Homophily and Consistency. - Yudi Huang; Ci Nie; Hongqing He; Yujie Mo; Yonghua Zhu; Guoqiu Wen; Xiaofeng Zhu 001 (AAAI, 2025)

HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters. - Yujie Mo; Runpeng Yu; Xiaofeng Zhu 001; Xinchao Wang (ICLR, 2025)

Unsupervised multi-view graph representation learning with dual weight-net. - Yujie Mo; Heng Tao Shen; Xiaofeng Zhu 001 (Inf. Fusion, 2025)

Efficient self-supervised heterogeneous graph representation learning with reconstruction. - Yujie Mo; Heng Tao Shen; Xiaofeng Zhu 001 (Inf. Fusion, 2025)

Dual Consistency Constraint-Based Self-Supervised Representation Learning for Heterogeneous Graphs With Missing Attributes. - Yajie Lei; Yujie Mo; Luping Ji; Xiaofeng Zhu 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)