Guixian Zhang

According to our database, Guixian Zhang authored at least 42 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Towards Fair Graph Representation Learning by Overcoming Social Homophily.

Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang

ACM Trans. Intell. Syst. Technol., April, 2026

Graph Unlearning System with Subgraph De-Isolation Measures.

Yi Li, Debo Cheng, Guixian Zhang, Chengyu Li, Shichao Zhang

ACM Trans. Auton. Adapt. Syst., March, 2026

Disentangled Instrumental Variables for Causal Inference with Networked Observational Data.

Zhirong Huang, Debo Cheng, Guixian Zhang, Yi Wang, Jiuyong Li, Shichao Zhang

CoRR, February, 2026

Toward fair graph neural networks via dual-teacher knowledge distillation.

Chengyu Li, Debo Cheng, Guixian Zhang, Yi Li, Shichao Zhang

Neural Networks, 2026

Learning instrumental variable representation for debiasing in recommender systems.

Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guangquan Lu, Guixian Zhang

Neural Networks, 2026

A multi-view graph neural network with subgraph variational autoencoder for class-Imbalanced node classification.

Longqing Du, Zhirong Huang, Jiecheng Li, Guixian Zhang, Debo Cheng, Guangquan Lu, Shichao Zhang

Knowl. Based Syst., 2026

Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems.

Guixian Zhang, Guan Yuan, Ziqi Xu, Yanmei Zhang, Jing Ren, Zhenyun Deng, Debo Cheng

Proceedings of the ACM Web Conference 2026, 2026

Noise-Aware Graph-Based Cognitive Diagnostic Framework Through Low-Rank Alignment.

Guixian Zhang, Yanmei Zhang, Guan Yuan, Shang Liu, Xiaojing Du, Debo Cheng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Multibehavior Intent Disentangled Learning for Fine-Grained Interest Discovery in Recommendation.

Yuqing Du, Guan Yuan, Guixian Zhang, Yanmei Zhang, Rui Bing, Xiao Liu

IEEE Trans. Comput. Soc. Syst., December, 2025

Conscious Gaze: Adaptive Attention Mechanisms for Hallucination Mitigation in Vision-Language Models.

Weijue Bu, Guan Yuan, Guixian Zhang

CoRR, December, 2025

Mitigating Propensity Bias of Large Language Models for Recommender Systems.

Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang

ACM Trans. Inf. Syst., November, 2025

Latent Representation Learning for Attributed Graph Anomaly Detection.

Shichao Zhang, Penghui Xi, Mengqi Jiang, Guixian Zhang, Debo Cheng

ACM Trans. Knowl. Discov. Data, August, 2025

Deconfounding representation learning for mitigating latent confounding effects in recommendation.

Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Ziqi Xu, Shichao Zhang

Knowl. Inf. Syst., July, 2025

Disentangled contrastive learning for fair graph representations.

Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang

Neural Networks, 2025

Multi-Cause Deconfounding for Recommender Systems with Latent Confounders.

Zhirong Huang, Yuxuan Hu, Debo Cheng, Jiuyong Li, Lin Liu, Guixian Zhang, Shichao Zhang

Knowl. Based Syst., 2025

Leveraging long-range nodes in multi-view graph contrastive learning.

Ludan He, Debo Cheng, Guixian Zhang, Shichao Zhang

Inf. Fusion, 2025

Identifying local useful information for attribute graph anomaly detection.

Penghui Xi, Debo Cheng, Guangquan Lu, Zhenyun Deng, Guixian Zhang, Shichao Zhang

Neurocomputing, 2025

Certainty-aware support vector machines for fair classification.

Boyan Chen, Yuxuan Hu, Guixian Zhang, Debo Cheng, Shichao Zhang

Neurocomputing, 2025

Injective edge chromatic index of sparse graphs.

Xiaolan Hu, Guixian Zhang

Discret. Appl. Math., 2025

Causality-Inspired Disentanglement for Fair Graph Neural Networks.

Guixian Zhang, Debo Cheng, Guan Yuan, Shang Liu, Yanmei Zhang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Community-Centric Graph Unlearning.

Yi Li, Shichao Zhang, Guixian Zhang, Debo Cheng

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Bayesian Graph Local Extrema Convolution with Long-tail Strategy for Misinformation Detection.

Guixian Zhang, Shichao Zhang, Guan Yuan

ACM Trans. Knowl. Discov. Data, May, 2024

Nonlocal Hybrid Network for Long-tailed Image Classification.

Rongjiao Liang, Shichao Zhang, Wenzhen Zhang, Guixian Zhang, Jinyun Tang

ACM Trans. Multim. Comput. Commun. Appl., April, 2024

Learning fair representations via rebalancing graph structure.

Guixian Zhang, Debo Cheng, Guan Yuan, Shichao Zhang

Inf. Process. Manag., January, 2024

Quantum Guess and Determine Attack on Stream Ciphers.

Lin Ding, Zheng Wu, Guixian Zhang, Tairong Shi

Comput. J., January, 2024

Contrastive learning for fair graph representations via counterfactual graph augmentation.

Chengyu Li, Debo Cheng, Guixian Zhang, Shichao Zhang

Knowl. Based Syst., 2024

Multi-Cause Deconfounding for Recommender Systems with Latent Confounders.

Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guixian Zhang

CoRR, 2024

Towards Fair Graph Representation Learning in Social Networks.

Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang

CoRR, 2024

Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems.

Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guixian Zhang

CoRR, 2024

GraphKAN: An Efficient Graph Kolmogorov Arnold Networks for Traffic Forecasting.

Wenzhu Zhao, Guan Yuan, Rui Bing, Xiao Liu, Guixian Zhang

Proceedings of the IEEE International Conference on Smart City, 2024

Multi-view Graph Neural Network for Fair Representation Learning.

Guixian Zhang, Guan Yuan, Debo Cheng, Ludan He, Rui Bing, Jiuyong Li, Shichao Zhang

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023

FPGNN: Fair path graph neural network for mitigating discrimination.

Guixian Zhang, Debo Cheng, Shichao Zhang

World Wide Web (WWW), September, 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., September, 2023

LRAGAD: Local Information Recognition for Attribute Graph Anomaly Detection.

Penghui Xi, Debo Cheng, Zhenyun Deng, Guixian Zhang, Shichao Zhang

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Multi-head Similarity Feature Representation and Filtration for Image-Text Matching.

Mengqi Jiang, Shichao Zhang, Debo Cheng, Leyuan Zhang, Guixian Zhang

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

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

Rumour Detection on Social Media with Long-Tail Strategy.

Guixian Zhang, Rongjiao Liang, Zhongyi Yu, Shichao Zhang

Proceedings of the International Joint Conference on Neural Networks, 2022

Bilateral-Branch Network for Imbalanced Visual Regression.

Rongjiao Liang, Guixian Zhang, Kui Zhang, Zhi Lei, Shichao Zhang

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Personalized Headline Generation with Enhanced User Interest Perception.

Kui Zhang, Guangquan Lu, Guixian Zhang, Zhi Lei, Lijuan Wu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

One-Stage Deep Channels Attention Network for Remote Sensing Images Object Detection.

Jinyun Tang, Wenzhen Zhang, Guixian Zhang, Rongjiao Liang, Guangquan Lu

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

Multi-View Gated Graph Convolutional Network for Aspect-Level Sentiment Classification.

Lijuan Wu, Guixian Zhang, Zhi Lei, Zhirong Huang, Guangquan Lu

Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

2021

Aggregation Enhanced Graph Convolutional Network for Graph Classification.

Guixian Zhang, Boyan Chen, Lijuan Wu, Kui Zhang, Shichao Zhang

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021