On properties of adjoint polynomials of graphs and their applications. - Haixing Zhao; Ruying Liu; Xueliang Li 001; Ligong Wang 001 (Australas. J Comb., 2004)

A complete solution to a conjecture on chromatic uniqueness of complete tripartite graphs. - Ruying Liu; Haixing Zhao; Chengfu Ye (Discret. Math., 2004)

On the minimum real roots of the -polynomials and chromatic uniqueness of graphs. - Haixing Zhao; Xueliang Li 001; Shenggui Zhang; Ruying Liu (Discret. Math., 2004)

The Chromaticity of Certain Complete Multipartite Graphs. - Haixing Zhao; Xueliang Li 001; Ruying Liu; Chengfu Ye (Graphs Comb., 2004)

On problems and conjectures on adjointly equivalent graphs. - Haixing Zhao; Xueliang Li 001; Ruying Liu (Discret. Math., 2005)

Chromaticity of the Complements of Some Sparse Graphs. - Haixing Zhao; Xueliang Li 001; Ruying Liu (Australas. J Comb., 2007)

Reliability Polynomials of Networks with Vertex Failure. - Haixing Zhao; Liang Wei (CIS (1), 2009)

On the minimum real roots of the adjoint polynomial of a graph. - Haixing Zhao; Ruying Liu (Discret. Math., 2009)

A Method to Find Chromatically Unique Multipartite Graphs. - Haixing Zhao; Zhuma Gao; Jun Yin (CIS, 2010)

Some results on the lexicographic product of vertex-transitive graphs. - Feng Li 057; Wei Wang; Zongben Xu; Haixing Zhao (Appl. Math. Lett., 2011)

On the Average Distance and Wiener Index of Cartesian Product Networks. - Feng Li 057; Zongben Xu; Haixing Zhao (QLSC, 2012)

Counting the number of spanning trees of generalization Farey graph. - Yuzhi Xiao; Haixing Zhao (ICNC, 2013)

Evolution of citation networks with the hypergraph formalism. - Feng Hu; Haixing Zhao; Xiu-Xiu Zhan; Chuang Liu 001; Zi-Ke Zhang (CoRR, 2014)

On the equitable vertex arboricity of complete tripartite graphs. - Zhiwei Guo; Haixing Zhao; Yaping Mao (Discret. Math. Algorithms Appl., 2015)

On the Estrada index of cactus graphs. - Faxu Li; Liang Wei; Haixing Zhao; Feng Hu; Xiujuan Ma (Discret. Appl. Math., 2016)

Hamiltonian Claw-Free Graphs and o-Heavy Graphs Involving Induced Cycles. - Jun Yin; Liming Xiong; Haixing Zhao (Graphs Comb., 2016)

Conflict-Free Connection Numbers of Line Graphs. - Bo Deng; Wenjing Li; Xueliang Li 001; Yaping Mao; Haixing Zhao (COCOA (1), 2017)

Spectral determination of a class of tricyclic graphs. - Bo Deng; An Chang; Haixing Zhao (Ars Comb., 2017)

Trees with large numbers of subtrees. - Yuzhi Xiao; Haixing Zhao; Zhen Liu; Yaping Mao (Int. J. Comput. Math., 2017)

Super Edge-Connectivity of Strong Product Graphs. - Zhao Wang 007; Yaping Mao; Chengfu Ye; Haixing Zhao (J. Interconnect. Networks, 2017)

Text-Associated Max-Margin DeepWalk. - Zhonglin Ye; Haixing Zhao; Ke Zhang; Yu Zhu; Yuzhi Xiao (Big Data (CCF), 2018)

Network Representation Learning Based on Community and Text Features. - Yu Zhu; Zhonglin Ye; Haixing Zhao; Ke Zhang (CCL, 2018)

Syntactic word embedding based on dependency syntax and polysemous analysis. - Zhonglin Ye; Haixing Zhao (Frontiers Inf. Technol. Electron. Eng., 2018)

Link Prediction Based on Gravitational Field of Complex Network. - Yanlin Yang; Zhonglin Ye; Haixing Zhao; Lei Meng 004 (DASC/PiCom/DataCom/CyberSciTech, 2019)

Improved DeepWalk Algorithm Based on Preference Random Walk. - Zhonglin Ye; Haixing Zhao; Ke Zhang; Yu Zhu; Yuzhi Xiao; Zhaoyang Wang (NLPCC (1), 2019)

Multi-View Network Representation Learning Algorithm Research. - Zhonglin Ye; Haixing Zhao; Ke Zhang; Yu Zhu (Algorithms, 2019)

Network representation based on the joint learning of three feature views. - Zhonglin Ye; Haixing Zhao; Ke Zhang; Zhaoyang Wang; Yu Zhu (Big Data Min. Anal., 2019)

On conflict-free connection of graphs. - Hong Chang 002; Zhong Huang; Xueliang Li 001; Yaping Mao; Haixing Zhao (Discret. Appl. Math., 2019)

基于多视图集成的网络表示学习算法 (Network Representation Learning Based on Multi-view Ensemble Algorithm). - Zhonglin Ye; Haixing Zhao; Ke Zhang; Yu Zhu (计算机科学, 2019)

Invulnerability of planar two-tree networks. - Yuzhi Xiao; Haixing Zhao; Yaping Mao; Guanrong Chen (Theor. Comput. Sci., 2019)

Hypernetwork Model Based on Logistic Regression. - Lei Meng 004; Zhonglin Ye; Haixing Zhao; Yanlin Yang; Fuxiang Ma (Big Data (CCF), 2020)

Conflict-free vertex-connections of graphs. - Stanislav Jendrol'; Xueliang Li 001; Yaping Mao; Yingying Zhang; Haixing Zhao; Xiaoyu Zhu (Discuss. Math. Graph Theory, 2020)

Text-enhanced network representation learning. - Yu Zhu; Zhonglin Ye; Haixing Zhao; Ke Zhang (Frontiers Comput. Sci., 2020)

The controllability of graphs with diameter n-2. - Liang Wei; Faxu Li; Haixing Zhao; Bo Deng (Appl. Math. Comput., 2021)

The aging effect in evolving scientific citation networks. - Feng Hu; Lin Ma; Xiu-Xiu Zhan; Yinzuo Zhou; Chuang Liu 001; Haixing Zhao; Zi-Ke Zhang (Scientometrics, 2021)

Nonexistence of uniformly most reliable two-terminal graphs. - Sun Xie; Haixing Zhao; Jun Yin (Theor. Comput. Sci., 2021)

Hypernetwork Representation Learning With the Transformation Strategy. - Yu Zhu; Haixing Zhao; Jianqiang Huang; Xiaoying Wang 002 (HP3C, 2022)

A practical adversarial attack on Graph Neural Networks by attacking single node structure. - Yang Chen; Zhonglin Ye; Haixing Zhao; Lei Meng 004; Zhaoyang Wang; Yanlin Yang (HPCC/DSS/SmartCity/DependSys, 2022)

Three-Channel Graph Convolutional Network. - Lei Meng 004; Zhonglin Ye; Haixing Zhao; Yanlin Yang; Yang Chen; Zhaoyang Wang (HPCC/DSS/SmartCity/DependSys, 2022)

Linking Prediction Algorithm Integrating with Lower and Higher Order Features. - Xiaoxin Li; Zhonglin Ye; Haixing Zhao; Yanlin Yang (ICBASE, 2022)

Local Optimality of Mixed Reliability for Several Classes of Networks with Fixed Sizes. - Lixin Dong; Haixing Zhao; Hong-Jian Lai (Axioms, 2022)

Graph Entropy Based on Strong Coloring of Uniform Hypergraphs. - Lusheng Fang; Bo Deng; Haixing Zhao; Xiaoyun Lv (Axioms, 2022)

Spectral Invariants and Their Application on Spectral Characterization of Graphs. - Jun Yin; Haixing Zhao; Sun Xie (Axioms, 2022)

On Spectral Characterization of Two Classes of Unicycle Graphs. - Jun Yin; Haixing Zhao; Xiujuan Ma; Jing Liang (Symmetry, 2022)

Hypernetwork Representation Learning with Common Constraints of the Set and Translation. - Yu Zhu; Haixing Zhao; Jianqiang Huang; Xiaoying Wang 002 (Symmetry, 2022)

Hypernetwork Representation Learning Based on Hyperedge Modeling. - Yu Zhu; Haixing Zhao; Xiaoying Wang 002; Jianqiang Huang (Symmetry, 2022)

A method to calculate the number of spanning connected unicyclic(bicyclic) subgraphs in 2-separable networks. - Jing Liang; Haixing Zhao; Jun Yin (Theor. Comput. Sci., 2022)

Multi-scale Heterogeneous Graph Contrastive Learning*. - Mingyuan Li 002; Lei Meng 004; Zhonglin Ye; Haixing Zhao; Yuzhi Xiao; Shujuan Cao (IEEE Big Data, 2023)

BLR: A Multi-modal Sentiment Analysis Model. - Yanglin Yang; Zhonglin Ye; Haixing Zhao; Gege Li; Shujuan Cao (ICANN (10), 2023)

Research on Link Prediction Algorithms Based on Multichannel Structure Modelling. - Gege Li; Lin Zhou; Zhonglin Ye; Haixing Zhao (ICPCSEE (2), 2023)

Qinghai Embroidery Classification System and Intelligent Classification Research. - Xiaofei Lin; Zhonglin Ye; Haixing Zhao (ICPCSEE (2), 2023)

Momentum Gradient-based Untargeted Attack on Hypergraph Neural Networks. - Yang Chen; Stjepan Picek; Zhonglin Ye; Zhaoyang Wang; Haixing Zhao (CoRR, 2023)

Applications of Teaching Based on Virtual Reality in Agro-Pastoralism Areas. - Zhonglin Ye; Yanlin Yang; Lei Meng 004; Gege Li; Zhaoyang Wang; Haixing Zhao (Int. J. Inf. Commun. Technol. Educ., 2023)

Feature-Based Graph Backdoor Attack in the Node Classification Task. - Yang Chen 035; Zhonglin Ye; Haixing Zhao; Ying Wang 126 (Int. J. Intell. Syst., 2023)

TAMNR: a network embedding learning algorithm using text attention mechanism. - Wei Zhang; Zhonglin Ye; Haixing Zhao; Jingjing Lin; Xiaojuan Ma (PeerJ Comput. Sci., 2023)

A Vulnerability Measure of k-Uniform Linear Hypergraphs. - Ning Zhao; Haixing Zhao; Yinkui Li (Symmetry, 2023)

CTNRL: A Novel Network Representation Learning With Three Feature Integrations. - Yanlong Tang; Zhonglin Ye; Haixing Zhao; Ying Ji (Int. J. Data Warehous. Min., 2023)

A Novel Link Prediction Framework Based on Gravitational Field. - Yanlin Yang; Zhonglin Ye; Haixing Zhao; Lei Meng 004 (Data Sci. Eng., 2023)

GFNC: Unsupervised Link Prediction Based on Gravitational Field and Node Contraction. - Yanlin Yang; Zhonglin Ye; Haixing Zhao; Lei Meng 004; Yuzhi Xiao (IEEE Trans. Comput. Soc. Syst., 2023)

LGNN: a novel linear graph neural network algorithm. - Shujuan Cao; Xiaoming Wang; Zhonglin Ye; Mingyuan Li 002; Haixing Zhao (Frontiers Comput. Neurosci., 2023)

A Graph Representation Learning Framework Predicting Potential Multivariate Interactions. - Yanlin Yang; Zhonglin Ye; Haixing Zhao; Lei Meng 004 (Int. J. Comput. Intell. Syst., 2023)

On the minimum driver node set of k-uniform linear hypertree networks. - Liang Wei; Faxu Li; Haixing Zhao; Bo Deng (Appl. Math. Comput., 2024)

TP-GCL: graph contrastive learning from the tensor perspective. - Mingyuan Li 002; Lei Meng 004; Zhonglin Ye; Yanglin Yang; Shujuan Cao; Yuzhi Xiao; Haixing Zhao (Frontiers Neurorobotics, 2024)

Multi-channel high-order network representation learning research. - Zhonglin Ye; Yanlong Tang; Haixing Zhao; Zhaoyang Wang; Ying Ji (Frontiers Neurorobotics, 2024)

Dual-channel deep graph convolutional neural networks. - Zhonglin Ye; Zhuoran Li; Gege Li; Haixing Zhao (Frontiers Artif. Intell., 2024)

GSGSL: Gravity-driven self-supervised graph structure learning. - Mingyuan Li 002; Lei Meng 004; Zhonglin Ye; Yanlin Yang; Shujuan Cao; Yuzhi Xiao; Haixing Zhao (Inf. Process. Manag., 2024)

Multichannel Adaptive Data Mixture Augmentation for Graph Neural Networks. - Zhonglin Ye; Lin Zhou; Mingyuan Li; Wei Zhang; Zhen Liu; Haixing Zhao (Int. J. Data Warehous. Min., 2024)

Line graph contrastive learning for node classification. - Mingyuan Li 002; Lei Meng 004; Zhonglin Ye; Yuzhi Xiao; Shujuan Cao; Haixing Zhao (J. King Saud Univ. Comput. Inf. Sci., 2024)

MASSFormer: Memory-Augmented Spectral-Spatial Transformer for Hyperspectral Image Classification. - Le Sun 002; Hang Zhang; Yuhui Zheng; Zebin Wu 001; Zhonglin Ye; Haixing Zhao (IEEE Trans. Geosci. Remote. Sens., 2024)

Boosting Video Object Segmentation via Robust and Efficient Memory Network. - Yadang Chen; Dingwei Zhang; Yuhui Zheng; Zhi-Xin Yang 001; Enhua Wu; Haixing Zhao (IEEE Trans. Circuits Syst. Video Technol., 2024)

A Method for Calculating the Reliability of 2-Separable Networks and Its Applications. - Jing Liang; Haixing Zhao; Sun Xie (Axioms, 2024)

DeepMCGCN: Multi-channel Deep Graph Neural Networks. - Lei Meng 004; Zhonglin Ye; Yanlin Yang; Haixing Zhao (Int. J. Comput. Intell. Syst., 2024)

RPEPL: Tibetan Sentiment Analysis Based on Relative Position Encoding and Prompt Learning. - Chunwei Kong; Xueqiang Lv; Le Zhang; Haixing Zhao; Zangtai Cai; Yuzhong Chen (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

Graph neural link predictor based on cycle structure. - Yanlin Yang; Zhonglin Ye; Lei Meng 004; Mingyuan Li 002; Haixing Zhao (CAAI Trans. Intell. Technol., 2025)

Momentum gradient-based untargeted poisoning attack on hypergraph neural networks. - Yang Chen; Stjepan Picek; Zhonglin Ye; Zhaoyang Wang; Haixing Zhao (Neurocomputing, 2025)

Adaptive symbiotic graph convolutional network. - Lin Zhou; Yuzhi Xiao; Zhonglin Ye; Haixing Zhao; Zhen Liu (Neurocomputing, 2025)

DeepSCNN: a simplicial convolutional neural network for deep learning. - Chunyang Tang; Zhonglin Ye; Haixing Zhao; Libing Bai; Jingjing Lin (Appl. Intell., 2025)

Self-supervised hypergraph structure learning. - Mingyuan Li 002; Yanlin Yang; Lei Meng 004; Lu Peng; Haixing Zhao; Zhonglin Ye (Artif. Intell. Rev., 2025)