Beibei Yu

23 papers A* 1Misc 1Journal 16Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — conf
A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions.
ACL (Findings)
Hongbin Na, Yining Hua, Zimu Wang, Tao Shen, Beibei Yu, Lilin Wang, Wei Wang, John B. Torous, Ling Chen
2025 J jnl
A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions.
CoRR
Hongbin Na, Yining Hua, Zimu Wang, Tao Shen, Beibei Yu, Lilin Wang, Wei Wang, John B. Torous, Ling Chen
2025 J jnl
Adaptive hierarchical knowledge distillation from GNNs to MLPs.
Knowl. Inf. Syst.
Junfeng Zhang, Cheng Xie, Beibei Yu, Rui Yang
2025 A* conf
NoiseHGNN: Synthesized Similarity Graph-Based Neural Network for Noised Heterogeneous Graph Representation Learning.
AAAI
Xiong Zhang, Cheng Xie, Haoran Duan, Beibei Yu
2025 — conf
STA-CoT: Structured Target-Centric Agentic Chain-of-Thought for Consistent Multi-Image Geological Reasoning.
EMNLP (Findings)
Beibei Yu, Tao Shen, Ling Chen
2025 J jnl
STSNet: A cross-spatial resolution multi-modal remote sensing deep fusion network for high resolution land-cover segmentation.
Inf. Fusion
Beibei Yu, Jiayi Li, Xin Huang
2025 J jnl
UAV image stitching method based on dual feature guidance and optimal seam.
Knowl. Based Syst.
Jun Chen, Haikuan Gao, Beibei Yu, Xin Tian
2024 J jnl
Contextual features online prediction for self-supervised graph representation.
Expert Syst. Appl.
Haoran Duan, Cheng Xie, Peng Tang, Beibei Yu
2024 J jnl
Cross-View Masked Model for Self-Supervised Graph Representation Learning.
IEEE Trans. Artif. Intell.
Haoran Duan, Beibei Yu, Cheng Xie
2024 J jnl
Meta-path and hypergraph fused distillation framework for heterogeneous information networks embedding.
Inf. Sci.
Beibei Yu, Cheng Xie, Hongming Cai, Haoran Duan, Peng Tang
2024 J jnl
MineAgent: Towards Remote-Sensing Mineral Exploration with Multimodal Large Language Models.
CoRR
Beibei Yu, Tao Shen, Hongbin Na, Ling Chen, Denqi Li
2024 J jnl
NoiseHGNN: Synthesized Similarity Graph-Based Neural Network For Noised Heterogeneous Graph Representation Learning.
CoRR
Xiong Zhang, Cheng Xie, Haoran Duan, Beibei Yu
2023 J jnl
Multi-view graph representation with similarity diffusion for general zero-shot learning.
Neural Networks
Beibei Yu, Cheng Xie, Peng Tang, Haoran Duan
2023 J jnl
Semantic-visual shared knowledge graph for zero-shot learning.
PeerJ Comput. Sci.
Beibei Yu, Cheng Xie, Peng Tang, Bin Li
2022 — conf
None-Negative Graph Contrastive Learning for Knowledge-Driven Zero-Shot Learning.
ICEBE
Peng Tang, Cheng Xie, Beibei Yu
2021 J jnl
Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization.
CoRR
Cheng Xie, Hongxin Xiang, Ting Zeng, Yun Yang, Beibei Yu, Qing Liu
2021 J jnl
Cross Knowledge-based Generative Zero-Shot Learning approach with Taxonomy Regularization.
Neural Networks
Cheng Xie, Hongxin Xiang, Ting Zeng, Yun Yang, Beibei Yu, Qing Liu
2021 — conf
Data Tampering Attack Design for ROS-Based Object Detection and Tracking Robotic Platform.
ICCAIS
Beibei Yu, Mingnan Hu, Zhe Sun, Bo Chen
2021 J jnl
Multilayer Internet-of-Things Middleware Based on Knowledge Graph.
IEEE Internet Things J.
Cheng Xie, Beibei Yu, Zuoying Zeng, Yun Yang, Qing Liu
2021 J jnl
The Incentive and Supervision Mechanism of Banks on Third-Party B2B Platforms in Online Supply Chain Finance Using Big Data.
Mob. Inf. Syst.
Kun Tian, Xintian Zhuang, Beibei Yu
2021 Misc conf
Transfer Visual Semantics into Knowledge Graph for Zero-Shot Recognition in Universal Datasets.
ISKE
Beibei Yu, Cheng Xie, Yujin Wang, Hongxin Xiang
2019 J jnl
Knowledge Graph-Based Image Classification Refinement.
IEEE Access
Dehai Zhang, Menglong Cui, Yun Yang, Po Yang, Cheng Xie, Di Liu, Beibei Yu, Zhibo Chen
2018 — conf
A Case Study of Service-Centric IoT Model for Rural Sewage Disposal.
ICEBE
Zheng Liu, Beibei Yu, Zhibo Chen, Jiqin Peng, Qiang Feng, Qing Liu, Cheng Xie