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2020 – today
- 2026
[j21]Longqing Du, Zhirong Huang, Jiecheng Li, Guixian Zhang, Debo Cheng, Guangquan Lu, Shichao Zhang:
A multi-view graph neural network with subgraph variational autoencoder for class-Imbalanced node classification. Knowl. Based Syst. 334: 115081 (2026)- [j20]Zhirong Huang
, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guangquan Lu, Guixian Zhang:
Learning instrumental variable representation for debiasing in recommender systems. Neural Networks 193: 107977 (2026) - [j19]Chengyu Li, Debo Cheng, Guixian Zhang, Yi Li, Shichao Zhang:
Toward fair graph neural networks via dual-teacher knowledge distillation. Neural Networks 194: 108184 (2026) - 2025
- [j18]Xiaolan Hu, Guixian Zhang:
Injective edge chromatic index of sparse graphs. Discret. Appl. Math. 370: 50-56 (2025) - [j17]Penghui Xi, Debo Cheng, Guangquan Lu, Zhenyun Deng, Guixian Zhang, Shichao Zhang:
Identifying local useful information for attribute graph anomaly detection. Neurocomputing 617: 128900 (2025) - [j16]Boyan Chen, Yuxuan Hu, Guixian Zhang, Debo Cheng, Shichao Zhang:
Certainty-aware support vector machines for fair classification. Neurocomputing 655: 131330 (2025) - [j15]Ludan He, Debo Cheng, Guixian Zhang, Shichao Zhang:
Leveraging long-range nodes in multi-view graph contrastive learning. Inf. Fusion 122: 103186 (2025) - [j14]Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Ziqi Xu, Shichao Zhang:
Deconfounding representation learning for mitigating latent confounding effects in recommendation. Knowl. Inf. Syst. 67(7): 5999-6020 (2025) - [j13]Zhirong Huang, Yuxuan Hu, Debo Cheng, Jiuyong Li, Lin Liu, Guixian Zhang, Shichao Zhang:
Multi-Cause Deconfounding for Recommender Systems with Latent Confounders. Knowl. Based Syst. 329: 114345 (2025) - [j12]Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang:
Disentangled contrastive learning for fair graph representations. Neural Networks 181: 106781 (2025) - [j11]Yuqing Du, Guan Yuan, Guixian Zhang, Yanmei Zhang, Rui Bing, Xiao Liu:
Multibehavior Intent Disentangled Learning for Fine-Grained Interest Discovery in Recommendation. IEEE Trans. Comput. Soc. Syst. 12(6): 5093-5105 (2025) - [j10]Shichao Zhang, Penghui Xi, Mengqi Jiang, Guixian Zhang, Debo Cheng:
Latent Representation Learning for Attributed Graph Anomaly Detection. ACM Trans. Knowl. Discov. Data 19(7): 127:1-127:22 (2025) - [j9]Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang:
Mitigating Propensity Bias of Large Language Models for Recommender Systems. ACM Trans. Inf. Syst. 43(6): 150:1-150:26 (2025) - [c12]Yi Li, Shichao Zhang, Guixian Zhang, Debo Cheng:
Community-Centric Graph Unlearning. AAAI 2025: 18548-18556 - [c11]Guixian Zhang, Debo Cheng, Guan Yuan, Shang Liu, Yanmei Zhang:
Causality-Inspired Disentanglement for Fair Graph Neural Networks. IJCAI 2025: 637-645 - [i8]Guixian Zhang, Guan Yuan, Ziqi Xu, Yanmei Zhang, Jing Ren, Zhenyun Deng, Debo Cheng:
Harnessing LLM for Noise-Robust Cognitive Diagnosis in Web-Based Intelligent Education Systems. CoRR abs/2510.04093 (2025) - [i7]Weijue Bu, Guan Yuan, Guixian Zhang:
Conscious Gaze: Adaptive Attention Mechanisms for Hallucination Mitigation in Vision-Language Models. CoRR abs/2512.05546 (2025) - 2024
- [j8]Lin Ding, Zheng Wu, Guixian Zhang, Tairong Shi:
Quantum Guess and Determine Attack on Stream Ciphers. Comput. J. 67(1): 292-303 (2024) - [j7]Guixian Zhang, Debo Cheng, Guan Yuan, Shichao Zhang:
Learning fair representations via rebalancing graph structure. Inf. Process. Manag. 61(1): 103570 (2024) - [j6]Chengyu Li, Debo Cheng, Guixian Zhang, Shichao Zhang:
Contrastive learning for fair graph representations via counterfactual graph augmentation. Knowl. Based Syst. 305: 112635 (2024) - [j5]Guixian Zhang, Shichao Zhang, Guan Yuan:
Bayesian Graph Local Extrema Convolution with Long-tail Strategy for Misinformation Detection. ACM Trans. Knowl. Discov. Data 18(4): 89:1-89:21 (2024) - [j4]Rongjiao Liang, Shichao Zhang, Wenzhen Zhang, Guixian Zhang, Jinyun Tang:
Nonlocal Hybrid Network for Long-tailed Image Classification. ACM Trans. Multim. Comput. Commun. Appl. 20(4): 108:1-108:22 (2024) - [c10]Guixian Zhang, Guan Yuan, Debo Cheng, Ludan He, Rui Bing, Jiuyong Li, Shichao Zhang:
Multi-view Graph Neural Network for Fair Representation Learning. APWeb/WAIM (3) 2024: 208-223 - [c9]Wenzhu Zhao, Guan Yuan, Rui Bing, Xiao Liu, Guixian Zhang:
GraphKAN: An Efficient Graph Kolmogorov Arnold Networks for Traffic Forecasting. SmartCity 2024: 23-30 - [i6]Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guixian Zhang:
Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems. CoRR abs/2408.09646 (2024) - [i5]Yi Li, Shichao Zhang, Guixian Zhang, Debo Cheng:
Community-Centric Graph Unlearning. CoRR abs/2408.09705 (2024) - [i4]Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang:
Mitigating Propensity Bias of Large Language Models for Recommender Systems. CoRR abs/2409.20052 (2024) - [i3]Guixian Zhang, Guan Yuan, Debo Cheng, Lin Liu, Jiuyong Li, Shichao Zhang:
Towards Fair Graph Representation Learning in Social Networks. CoRR abs/2410.11493 (2024) - [i2]Zhirong Huang, Shichao Zhang, Debo Cheng, Jiuyong Li, Lin Liu, Guixian Zhang:
Multi-Cause Deconfounding for Recommender Systems with Latent Confounders. CoRR abs/2410.12366 (2024) - [i1]Chengyu Li, Debo Cheng, Guixian Zhang, Yi Li, Shichao Zhang:
Toward Fair Graph Neural Networks Via Dual-Teacher Knowledge Distillation. CoRR abs/2412.00382 (2024) - 2023
- [j3]Xiaole Wan, Guixian Zhang, Ye Yuan, Shousheng Chai:
How to drive the participation willingness of supply chain members in metaverse technology adoption? Appl. Soft Comput. 145: 110611 (2023) - [j2]Guixian Zhang, Debo Cheng, Shichao Zhang:
FPGNN: Fair path graph neural network for mitigating discrimination. World Wide Web (WWW) 26(5): 3119-3136 (2023) - [c8]Mengqi Jiang, Shichao Zhang, Debo Cheng, Leyuan Zhang, Guixian Zhang:
Multi-head Similarity Feature Representation and Filtration for Image-Text Matching. ADMA (2) 2023: 629-643 - [c7]Penghui Xi, Debo Cheng, Zhenyun Deng, Guixian Zhang, Shichao Zhang:
LRAGAD: Local Information Recognition for Attribute Graph Anomaly Detection. ICTAI 2023: 997-1001 - 2022
- [j1]Zhi Lei, Guixian Zhang, Lijuan Wu, Kui Zhang, Rongjiao Liang:
A Multi-level Mesh Mutual Attention Model for Visual Question Answering. Data Sci. Eng. 7(4): 339-353 (2022) - [c6]Lijuan Wu, Guixian Zhang, Zhi Lei, Zhirong Huang, Guangquan Lu:
Multi-View Gated Graph Convolutional Network for Aspect-Level Sentiment Classification. ADMA (1) 2022: 489-504 - [c5]Jinyun Tang, Wenzhen Zhang, Guixian Zhang, Rongjiao Liang, Guangquan Lu:
One-Stage Deep Channels Attention Network for Remote Sensing Images Object Detection. APWeb/WAIM (2) 2022: 483-491 - [c4]Kui Zhang, Guangquan Lu, Guixian Zhang, Zhi Lei, Lijuan Wu:
Personalized Headline Generation with Enhanced User Interest Perception. ICANN (2) 2022: 797-809 - [c3]Rongjiao Liang, Guixian Zhang, Kui Zhang, Zhi Lei, Shichao Zhang:
Bilateral-Branch Network for Imbalanced Visual Regression. ICTAI 2022: 140-147 - [c2]Guixian Zhang, Rongjiao Liang, Zhongyi Yu, Shichao Zhang:
Rumour Detection on Social Media with Long-Tail Strategy. IJCNN 2022: 1-8 - 2021
- [c1]Guixian Zhang, Boyan Chen, Lijuan Wu, Kui Zhang, Shichao Zhang:
Aggregation Enhanced Graph Convolutional Network for Graph Classification. ICBK 2021: 62-69
Coauthor Index
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