Complexity of software trustworthiness and its dynamical statistical analysis methods. - Zhiming Zheng 001; Shilong Ma; Wei Li 022; Xin Jiang 008; Wei Wei 020; LiLi Ma; Shaoting Tang (Sci. China Ser. F Inf. Sci., 2009)

Dynamical characteristics of software trustworthiness and their evolutionary complexity. - Zhiming Zheng 001; Shilong Ma; Wei Li 022; Wei Wei 020; Xin Jiang 008; ZhanLi Zhang; Binghui Guo (Sci. China Ser. F Inf. Sci., 2009)

Statistics and algorithms on the organization and quantitative analysis of minimal vertex covers. - Wei Wei 020; Renquan Zhang; Baolong Niu; Binghui Guo; Zhiming Zheng 001 (CoRR, 2014)

Research on Solution Space of Bipartite Graph Vertex-Cover by Maximum Matchings. - Wei Wei 020; Yunjia Zhang; Ting Wang; Baifeng Li; Baolong Niu; Zhiming Zheng 001 (CoRR, 2015)

Research on Centralities Based on von Neumann Entropy for Nodes and Motifs. - Xiangnan Feng; Wei Wei 020; Jiannan Wang; Zhiming Zheng 001 (CoRR, 2017)

Core Influence Mechanism on Vertex-Cover Problem through Leaf-Removal-Core Breaking. - Xiangnan Feng; Wei Wei 020; Xing Li; Zhiming Zheng 001 (CoRR, 2018)

Discriminative Embedding Autoencoder with a Regressor Feedback for Zero-Shot Learning. - Ying Shi; Wei Wei 020; Zhiming Zheng 001 (CoRR, 2019)

Hierarchical Decomposition Mechanism by König-Egérvary Layer-Subgraph with Application on Vertex-Cover. - Xiangnan Feng; Wei Wei 020; Jiannan Wang; Xue Liu; Zhiming Zheng 001 (CoRR, 2019)

Scalable Many-Field Packet Classification for Traffic Steering in SDN Switches. - Cheng-Liang Hsieh; Ning Weng; Wei Wei 020 (IEEE Trans. Netw. Serv. Manag., 2019)

Discriminative Embedding Autoencoder With a Regressor Feedback for Zero-Shot Learning. - Ying Shi; Wei Wei 020 (IEEE Access, 2020)

Dynamic aspiration based on Win-Stay-Lose-Learn rule in Spatial Prisoner's Dilemma Gam. - Zhenyu Shi; Wei Wei 020; Xiangnan Feng; Xing Li; Zhiming Zheng 001 (CoRR, 2020)

Research of Motif-Based Similarity for Link Prediction Problem. - Chao Li; Wei Wei 020; Xiangnan Feng; Jiaomin Liu (IEEE Access, 2021)

Representation Learning of Reconstructed Graphs Using Random Walk Graph Convolutional Network. - Xing Li; Wei Wei 020; Xiangnan Feng; Zhiming Zheng 001 (CoRR, 2021)

Effects of Dynamic-Win-Stay-Lose-Learn model with voluntary participation in social dilemma. - Zhenyu Shi; Wei Wei 020; Xiangnan Feng; Ruizhi Zhang; Zhiming Zheng 001 (CoRR, 2021)

Research of Damped Newton Stochastic Gradient Descent Method for Neural Network Training. - Jingcheng Zhou; Wei Wei 020; Zhiming Zheng 001 (CoRR, 2021)

A Graph Data Augmentation Strategy with Entropy Preserving. - Xue Liu; Dan Sun; Wei Wei 020 (CoRR, 2021)

Representation learning of graphs using graph convolutional multilayer networks based on motifs. - Xing Li; Wei Wei 020; Xiangnan Feng; Xue Liu; Zhiming Zheng 001 (Neurocomputing, 2021)

Graph classification based on skeleton and component features. - Xue Liu; Wei Wei 020; Xiangnan Feng; Xiaobo Cao; Dan Sun (Knowl. Based Syst., 2021)

Coupling group selection and network reciprocity in social dilemmas through multilayer networks. - Zhenyu Shi; Wei Wei 020; Matjaz Perc; Baifeng Li; Zhiming Zheng 001 (Appl. Math. Comput., 2022)

Enhance Ambiguous Community Structure via Multi-strategy Community Related Link Prediction Method with Evolutionary Process. - Qiming Yang; Wei Wei 020; Ruizhi Zhang; Bowen Pang 001; Xiangnan Feng (CoRR, 2022)

Parameter Convex Neural Networks. - Jingcheng Zhou; Wei Wei 020; Xing Li; Bowen Pang 001; Zhiming Zheng 001 (CoRR, 2022)

Temporal Link Prediction via Adjusted Sigmoid Function and 2-Simplex Sructure. - Ruizhi Zhang; Qiaozi Wang; Qiming Yang; Wei Wei 020 (CoRR, 2022)

Alleviating the over-smoothing of graph neural computing by a data augmentation strategy with entropy preservation. - Xue Liu; Dan Sun; Wei Wei 020 (Pattern Recognit., 2022)

An Evolution Kernel Method for Graph Classification through Heat Diffusion Dynamics. - Xue Liu; Dan Sun; Wei Wei 020; Zhiming Zheng 001 (CoRR, 2023)

Anonymous Pattern Molecular Fingerprint and its Applications on Property Identification. - Xue Liu; Qian Cheng; Dan Sun; Wei Wei 020; Zhiming Zheng 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Representation Learning of Enhanced Graphs Using Random Walk Graph Convolutional Network. - Xing Li; Wei Wei 020; Ruizhi Zhang; Zhenyu Shi; Zhiming Zheng 001; Xiangnan Feng (ACM Trans. Intell. Syst. Technol., 2023)

Bidirectional supervision: An effective method to suppress corruption and defection under the third party punishment mechanism of donation games. - Zhenyu Shi; Wei Wei 020; Hongwei Zheng 003; Zhiming Zheng 001 (Appl. Math. Comput., 2023)

A representation-learning-based approach to predict stock price trend via dynamic spatiotemporal feature embedding. - Bowen Pang 001; Wei Wei 020; Xing Li; Xiangnan Feng; Chao Li (Eng. Appl. Artif. Intell., 2023)

Graphical representation and hierarchical decomposition mechanism for vertex-cover solution space. - Wei Wei 020; Xiangnan Feng (Appl. Math. Comput., 2023)

Link prediction by continuous spatiotemporal representation via neural differential equations. - Liyi Huang; Bowen Pang 001; Qiming Yang; Xiangnan Feng; Wei Wei 020 (Knowl. Based Syst., 2024)

Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies. - Xue Liu; Dan Sun; Xiaobo Cao; Hao Ye; Wei Wei 020 (IEEE Trans. Knowl. Data Eng., 2024)

Graph classification by converting static graphs into dynamic evolutionary sequences. - Xue Liu; Dan Sun; Wei Wei 020 (Expert Syst. Appl., 2025)

SCS: Subgraph contrastive supervised neural network for link prediction. - Qiming Yang; Wei Wei 020; Ruizhi Zhang; Xiangnan Feng (Inf. Sci., 2025)

Attention With System Entropy for Optimizing Credit Assignment in Cooperative Multi-Agent Reinforcement Learning. - Wei Wei 020; Haibin Li; Shiyuan Zhou; Baifeng Li; Xue Liu (IEEE Trans Autom. Sci. Eng., 2025)

A Continuous Volatility Forecasting Model Based on Neural Differential Equations and Scale-Similarity. - Bowen Pang 001; Liyi Huang; Qingsong Li; Wei Wei 020 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Wavelet Transformer: An Effective Method on Multiple Periodic Decomposition for Time Series Forecasting. - Wei Wei 020; Zi'ang Wang; Bowen Pang 001; Jiannan Wang; Xue Liu (IEEE Trans. Neural Networks Learn. Syst., 2025)