A RBF Neural Network Based Data Aggregation Algorithm for Wireless Sensor Networks. - Jin Wang 001; Kai Wang 057; Yiquan Cao; Geumran Youn; Jeong-Uk Kim (FSDM, 2017)

Offering Artificial Intelligence Development Situation Analysis Service for Users. - Xiujuan Xu; Tingting Jiang; Shimin Shan; Jun Ni; Kai Wang 057; Zhenlong Xu; Yu Liu 035 (ICSOC Workshops, 2018)

Knowledge Graph Embedding with Entity Neighbors and Deep Memory Network. - Kai Wang 057; Yu Liu 035; Xiujuan Xu; Dan Lin 008 (CoRR, 2018)

Distantly Supervised Relation Extraction through a Trade-off Mechanism. - Jun Ni; Yu Liu 035; Kai Wang 057; Zhehuan Zhao; Quan Z. Sheng (IJCNN, 2019)

Feature-based Compositing Memory Networks for Aspect-based Sentiment Classification in Social Internet of Things. - Ruixin Ma; Kai Wang 057; Tie Qiu 001; Arun Kumar Sangaiah; Dan Lin 008; Hannan Bin Liaqat (Future Gener. Comput. Syst., 2019)

An Affinity Propagation-Based Self-Adaptive Clustering Method for Wireless Sensor Networks. - Jin Wang 001; Yu Gao 004; Kai Wang 057; Arun Kumar Sangaiah; Se-Jung Lim (Sensors, 2019)

Enhancing knowledge graph embedding by composite neighbors for link prediction. - Kai Wang 057; Yu Liu 035; Xiujuan Xu; Quan Z. Sheng (Computing, 2020)

Multi-teacher Knowledge Distillation for Knowledge Graph Completion. - Kai Wang 057; Yu Liu 035; Qian Ma; Quan Z. Sheng (CoRR, 2020)

Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddings. - Kai Wang 057; Yu Liu 035; Dan Lin 008; Michael Sheng 001 (EMNLP (Findings), 2021)

Neighborhood Intervention Consistency: Measuring Confidence for Knowledge Graph Link Prediction. - Kai Wang 057; Yu Liu 035; Quan Z. Sheng (IJCAI, 2021)

MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph Embeddings. - Kai Wang 057; Yu Liu 035; Qian Ma; Quan Z. Sheng (WWW, 2021)

High-efficiency Euclidean-based Models for Low-dimensional Knowledge Graph Embeddings. - Kai Wang 057; Yu Liu 035; Quan Z. Sheng (CoRR, 2021)

Lightweight YOLOV4 algorithm for underwater whale detection. - Lili He 002; Defeng Du; Hongtao Bai; Kai Wang 057 (CAMAD, 2022)

Multi-label Aerial Image Classification Based on Image-Specific Concept Graphs. - Dan Lin 008; Zhikui Chen; Liang Zhao 005; Kai Wang 057 (ICIP, 2022)

Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings. - Kai Wang 057; Yu Liu 035; Quan Z. Sheng (WWW, 2022)

Trust-SIoT: Towards Trustworthy Object Classification in the Social Internet of Things. - Subhash Sagar; Adnan Mahmood; Kai Wang 057; Quan Z. Sheng; Wei Emma Zhang (CoRR, 2022)

River of No Return: Graph Percolation Embeddings for Efficient Knowledge Graph Reasoning. - Kai Wang 057; Siqiang Luo; Dan Lin 008 (CoRR, 2023)

When Large Language Models Meet Citation: A Survey. - Yang Zhang 095; Yufei Wang 003; Kai Wang 057; Quan Z. Sheng; Lina Yao 001; Adnan Mahmood; Wei Emma Zhang; Rongying Zhao (CoRR, 2023)

Trust-SIoT: Toward Trustworthy Object Classification in the Social Internet of Things. - Subhash Sagar; Adnan Mahmood; Kai Wang 057; Quan Z. Sheng; Jitander Kumar Pabani; Wei Emma Zhang (IEEE Trans. Netw. Serv. Manag., 2023)

LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs. - Kai Wang 057; Yuwei Xu 004; Zhiyong Wu; Siqiang Luo (ACL (Findings), 2024)

Topology-monitorable Contrastive Learning on Dynamic Graphs. - Zulun Zhu; Kai Wang 057; Haoyu Liu; Jintang Li; Siqiang Luo (KDD, 2024)

Towards Graph Foundation Models: The Perspective of Zero-shot Reasoning on Knowledge Graphs. - Kai Wang 057; Siqiang Luo (CoRR, 2024)

TIGER: Training Inductive Graph Neural Network for Large-scale Knowledge Graph Reasoning. - Kai Wang 057; Yuwei Xu 004; Siqiang Luo (Proc. VLDB Endow., 2024)

Deep learning meets bibliometrics: A survey of citation function classification. - Yang Zhang 095; Yufei Wang 003; Quan Z. Sheng; Lina Yao 001; Haihua Chen 002; Kai Wang 057; Adnan Mahmood; Wei Emma Zhang; Munazza Zaib; Subhash Sagar; Rongying Zhao (J. Informetrics, 2025)

Graph Percolation Embeddings for Efficient Knowledge Graph Inductive Reasoning. - Kai Wang 057; Dan Lin 008; Siqiang Luo (IEEE Trans. Knowl. Data Eng., 2025)

Graph-based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Survey. - Zulun Zhu; Tiancheng Huang; Kai Wang 057; Junda Ye; Xinghe Chen; Siqiang Luo (CoRR, 2025)