Aggregation Enhanced Graph Convolutional Network for Graph Classification. - Guixian Zhang; Boyan Chen; Lijuan Wu; Kui Zhang; Shichao Zhang 001 (ICBK, 2021)

Multi-View Gated Graph Convolutional Network for Aspect-Level Sentiment Classification. - Lijuan Wu; Guixian Zhang; Zhi Lei; Zhirong Huang; Guangquan Lu (ADMA (1), 2022)

One-Stage Deep Channels Attention Network for Remote Sensing Images Object Detection. - Jinyun Tang; Wenzhen Zhang; Guixian Zhang; Rongjiao Liang; Guangquan Lu (APWeb/WAIM (2), 2022)

Personalized Headline Generation with Enhanced User Interest Perception. - Kui Zhang; Guangquan Lu; Guixian Zhang; Zhi Lei; Lijuan Wu (ICANN (2), 2022)

Bilateral-Branch Network for Imbalanced Visual Regression. - Rongjiao Liang; Guixian Zhang; Kui Zhang; Zhi Lei; Shichao Zhang 001 (ICTAI, 2022)

Rumour Detection on Social Media with Long-Tail Strategy. - Guixian Zhang; Rongjiao Liang; Zhongyi Yu; Shichao Zhang 001 (IJCNN, 2022)

A Multi-level Mesh Mutual Attention Model for Visual Question Answering. - Zhi Lei; Guixian Zhang; Lijuan Wu; Kui Zhang; Rongjiao Liang (Data Sci. Eng., 2022)

Multi-head Similarity Feature Representation and Filtration for Image-Text Matching. - Mengqi Jiang; Shichao Zhang 001; Debo Cheng; Leyuan Zhang; Guixian Zhang (ADMA (2), 2023)

LRAGAD: Local Information Recognition for Attribute Graph Anomaly Detection. - Penghui Xi; Debo Cheng; Zhenyun Deng; Guixian Zhang; Shichao Zhang 001 (ICTAI, 2023)

How to drive the participation willingness of supply chain members in metaverse technology adoption? - Xiaole Wan; Guixian Zhang; Ye Yuan; Shousheng Chai (Appl. Soft Comput., 2023)

FPGNN: Fair path graph neural network for mitigating discrimination. - Guixian Zhang; Debo Cheng; Shichao Zhang 001 (World Wide Web (WWW), 2023)

Multi-view Graph Neural Network for Fair Representation Learning. - Guixian Zhang; Guan Yuan; Debo Cheng; Ludan He; Rui Bing; Jiuyong Li; Shichao Zhang 001 (APWeb/WAIM (3), 2024)

GraphKAN: An Efficient Graph Kolmogorov Arnold Networks for Traffic Forecasting. - Wenzhu Zhao; Guan Yuan; Rui Bing; Xiao Liu; Guixian Zhang (SmartCity, 2024)

Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems. - Zhirong Huang; Shichao Zhang 001; Debo Cheng; Jiuyong Li; Lin Liu 003; Guixian Zhang (CoRR, 2024)

Mitigating Propensity Bias of Large Language Models for Recommender Systems. - Guixian Zhang; Guan Yuan; Debo Cheng; Lin Liu 003; Jiuyong Li; Shichao Zhang 001 (CoRR, 2024)

Towards Fair Graph Representation Learning in Social Networks. - Guixian Zhang; Guan Yuan; Debo Cheng; Lin Liu 003; Jiuyong Li; Shichao Zhang 001 (CoRR, 2024)

Multi-Cause Deconfounding for Recommender Systems with Latent Confounders. - Zhirong Huang; Shichao Zhang 001; Debo Cheng; Jiuyong Li; Lin Liu 003; Guixian Zhang (CoRR, 2024)

Toward Fair Graph Neural Networks Via Dual-Teacher Knowledge Distillation. - Chengyu Li; Debo Cheng; Guixian Zhang; Yi Li; Shichao Zhang 001 (CoRR, 2024)

Contrastive learning for fair graph representations via counterfactual graph augmentation. - Chengyu Li; Debo Cheng; Guixian Zhang; Shichao Zhang 001 (Knowl. Based Syst., 2024)

Quantum Guess and Determine Attack on Stream Ciphers. - Lin Ding 001; Zheng Wu; Guixian Zhang; Tairong Shi (Comput. J., 2024)

Learning fair representations via rebalancing graph structure. - Guixian Zhang; Debo Cheng; Guan Yuan; Shichao Zhang 001 (Inf. Process. Manag., 2024)

Nonlocal Hybrid Network for Long-tailed Image Classification. - Rongjiao Liang; Shichao Zhang 001; Wenzhen Zhang; Guixian Zhang; Jinyun Tang (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Bayesian Graph Local Extrema Convolution with Long-tail Strategy for Misinformation Detection. - Guixian Zhang; Shichao Zhang 001; Guan Yuan (ACM Trans. Knowl. Discov. Data, 2024)

Community-Centric Graph Unlearning. - Yi Li; Shichao Zhang 001; Guixian Zhang; Debo Cheng (AAAI, 2025)

Injective edge chromatic index of sparse graphs. - Xiaolan Hu; Guixian Zhang (Discret. Appl. Math., 2025)

Certainty-aware support vector machines for fair classification. - Boyan Chen; Yuxuan Hu; Guixian Zhang; Debo Cheng; Shichao Zhang 001 (Neurocomputing, 2025)

Identifying local useful information for attribute graph anomaly detection. - Penghui Xi; Debo Cheng; Guangquan Lu; Zhenyun Deng; Guixian Zhang; Shichao Zhang 001 (Neurocomputing, 2025)

Leveraging long-range nodes in multi-view graph contrastive learning. - Ludan He; Debo Cheng; Guixian Zhang; Shichao Zhang 001 (Inf. Fusion, 2025)

Disentangled contrastive learning for fair graph representations. - Guixian Zhang; Guan Yuan; Debo Cheng; Lin Liu 003; Jiuyong Li; Shichao Zhang 001 (Neural Networks, 2025)

Deconfounding representation learning for mitigating latent confounding effects in recommendation. - Guixian Zhang; Guan Yuan; Debo Cheng; Lin Liu 003; Jiuyong Li; Ziqi Xu 001; Shichao Zhang 001 (Knowl. Inf. Syst., 2025)

Latent Representation Learning for Attributed Graph Anomaly Detection. - Shichao Zhang 001; Penghui Xi; Mengqi Jiang; Guixian Zhang; Debo Cheng (ACM Trans. Knowl. Discov. Data, 2025)