A Case Study of Service-Centric IoT Model for Rural Sewage Disposal. - Zheng Liu; Beibei Yu; Zhibo Chen 005; Jiqin Peng; Qiang Feng; Qing Liu 019; Cheng Xie (ICEBE, 2018)

Knowledge Graph-Based Image Classification Refinement. - Dehai Zhang; Menglong Cui; Yun Yang 003; Po Yang 001; Cheng Xie; Di Liu 002; Beibei Yu; Zhibo Chen 005 (IEEE Access, 2019)

Data Tampering Attack Design for ROS-Based Object Detection and Tracking Robotic Platform. - Beibei Yu; Mingnan Hu; Zhe Sun; Bo Chen 003 (ICCAIS, 2021)

Transfer Visual Semantics into Knowledge Graph for Zero-Shot Recognition in Universal Datasets. - Beibei Yu; Cheng Xie; Yujin Wang; Hongxin Xiang (ISKE, 2021)

Multilayer Internet-of-Things Middleware Based on Knowledge Graph. - Cheng Xie; Beibei Yu; Zuoying Zeng; Yun Yang 003; Qing Liu 019 (IEEE Internet Things J., 2021)

The Incentive and Supervision Mechanism of Banks on Third-Party B2B Platforms in Online Supply Chain Finance Using Big Data. - Kun Tian; Xintian Zhuang; Beibei Yu (Mob. Inf. Syst., 2021)

Cross Knowledge-based Generative Zero-Shot Learning approach with Taxonomy Regularization. - Cheng Xie; Hongxin Xiang; Ting Zeng; Yun Yang 003; Beibei Yu; Qing Liu 019 (Neural Networks, 2021)

None-Negative Graph Contrastive Learning for Knowledge-Driven Zero-Shot Learning. - Peng Tang; Cheng Xie; Beibei Yu (ICEBE, 2022)

Semantic-visual shared knowledge graph for zero-shot learning. - Beibei Yu; Cheng Xie; Peng Tang; Bin Li (PeerJ Comput. Sci., 2023)

Multi-view graph representation with similarity diffusion for general zero-shot learning. - Beibei Yu; Cheng Xie; Peng Tang; Haoran Duan 002 (Neural Networks, 2023)

MineAgent: Towards Remote-Sensing Mineral Exploration with Multimodal Large Language Models. - Beibei Yu; Tao Shen; Hongbin Na; Ling Chen 006; Denqi Li (CoRR, 2024)

Meta-path and hypergraph fused distillation framework for heterogeneous information networks embedding. - Beibei Yu; Cheng Xie; Hongming Cai 001; Haoran Duan 002; Peng Tang (Inf. Sci., 2024)

Contextual features online prediction for self-supervised graph representation. - Haoran Duan 002; Cheng Xie; Peng Tang; Beibei Yu (Expert Syst. Appl., 2024)

Cross-View Masked Model for Self-Supervised Graph Representation Learning. - Haoran Duan 002; Beibei Yu; Cheng Xie (IEEE Trans. Artif. Intell., 2024)

NoiseHGNN: Synthesized Similarity Graph-Based Neural Network for Noised Heterogeneous Graph Representation Learning. - Xiong Zhang; Cheng Xie; Haoran Duan 002; Beibei Yu (AAAI, 2025)

A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions. - Hongbin Na; Yining Hua; Zimu Wang; Tao Shen; Beibei Yu; Lilin Wang; Wei Wang 042; John B. Torous; Ling Chen 006 (ACL (Findings), 2025)

STSNet: A cross-spatial resolution multi-modal remote sensing deep fusion network for high resolution land-cover segmentation. - Beibei Yu; Jiayi Li 001; Xin Huang 002 (Inf. Fusion, 2025)