Simulation of Mechanics Properties in Rolling Process for H-beam. - Xianzhang Feng; Junwei Cheng; Yanmei Cui; Cai Liu; Junhui Li (JCAI, 2009)

Study on Head Regional of Hot Forming for Wide-Thick Plate. - Xianzhang Feng; Junwei Cheng; Aimin Liu; Cai Liu; Junhui Li (WKDD, 2009)

Research of Distribution of Temperature Field in Process of Shaping. - Xianzhang Feng; Junwei Cheng (J. Softw., 2011)

An orthogonal mixed chaotic spread spectrum algorithm for satellite communication. - Chunling Liu; Junwei Cheng; Ran Zhang (ISCID (2), 2019)

SARNMF: A Community Detection Method for Attributed Networks. - Junwei Cheng; Weisheng Li; Kunlin Han; Yong Tang 001; Chaobo He; Nini Zhang (CSCWD, 2022)

Semi-supervised overlapping community detection in attributed graph with graph convolutional autoencoder. - Chaobo He; Yulong Zheng; Junwei Cheng; Yong Tang 001; Guohua Chen; Hai Liu 006 (Inf. Sci., 2022)

A Deep Conditional Generative Approach for Constrained Community Detection. - Chaobo He; Junwei Cheng; Quanlong Guan; Xiang Fei; Hanchao Li; Yong Tang 001 (CIKM, 2023)

Self-supervised community detection in multiplex networks with graph convolutional autoencoder. - Xingyu Liu; Junwei Cheng; Hao Cheng; Chaobo He; Qimai Chen; Quanlong Guan (CSCWD, 2023)

Graph Contrastive Learning Method with Sample Disparity Constraint and Feature Structure Graph for Node Classification. - Gangbin Chen; Junwei Cheng; Wanying Liang; Chaobo He; Yong Tang 001 (KSEM (4), 2023)

How Significant Attributes are in the Community Detection of Attributed Multiplex Networks. - Junwei Cheng; Chaobo He; Kunlin Han; Wenjie Ma; Yong Tang 001 (SIGIR, 2023)

Multiple Topics Community Detection in Attributed Networks. - Chaobo He; Junwei Cheng; Guohua Chen; Yong Tang 001 (SIGIR, 2023)

Eight-input optical programmable logic array enabled by parallel spectrum modulation. - Wenkai Zhang; Bo Wu; Junwei Cheng; Hailong Zhou; Jianji Dong; Dongmei Huang; Ping-Kong Alex Wai; Xinliang Zhang (CoRR, 2023)

Community preserving adaptive graph convolutional networks for link prediction in attributed networks. - Chaobo He; Junwei Cheng; Xiang Fei; Yu Weng; Yulong Zheng; Yong Tang 001 (Knowl. Based Syst., 2023)

Unveiling community structures in static networks through graph variational Bayes with evolution information. - Junwei Cheng; Chaobo He; Kunlin Han; Gangbin Chen; Wanying Liang; Yong Tang 001 (Neurocomputing, 2024)

Community detection in attributed networks via adaptive deep nonnegative matrix factorization. - Junwei Cheng; Yong Tang 001; Chaobo He; Kunlin Han; Ying Li; Jinhui Wei (Neural Comput. Appl., 2024)

Detecting communities with multiple topics in attributed networks via self-supervised adaptive graph convolutional network. - Chaobo He; Junwei Cheng; Guohua Chen; Quanlong Guan; Xiang Fei; Yong Tang 001 (Inf. Fusion, 2024)

On Symmetries of Integrable Quadrilateral Equations. - Junwei Cheng; Jin Liu; Da-jun Zhang (Symmetry, 2024)

Community-Aware Variational Autoencoder for Continuous Dynamic Networks. - Junwei Cheng; Chaobo He; Pengxing Feng; Weixiong Liu; Kunlin Han; Yong Tang 001 (AAAI, 2025)

DyGMAE: A Novel Dynamic Graph Masked Autoencoder for Link Prediction. - Weixiong Liu; Junwei Cheng; Zhongyu Pan; Chaobo He; Quanlong Guan (UAI, 2025)

When graph neural networks meet deep nonnegative matrix factorization: An encoder and decoder-like method for community detection. - Junwei Cheng; Chaobo He; Xuequan Lin; Weixiong Liu; Kunlin Han; Yong Tang 001 (Expert Syst. Appl., 2025)

Rethinking Variational Bayes in Community Detection From Graph Signal Perspective. - Junwei Cheng; Yong Tang 001; Chaobo He; Pengxing Feng; Kunlin Han; Quanlong Guan (IEEE Trans. Knowl. Data Eng., 2025)