Kai Wang

33 papers A* 5B 3Journal 19Unranked 6
YearRankTypeTitle / Venue / Authors
2026 A* conf
EAGLE: Episodic Appearance- and Geometry-aware Memory for Unified 2D-3D Visual Query Localization in Egocentric Vision.
AAAI
Yifei Cao, Yu Liu, Guolong Wang, Zhu Liu, Kai Wang, Xianjie Zhang, Jizhe Yu, Xun Tu
2026 J jnl
RadixGraph: A Fast, Space-Optimized Data Structure for Dynamic Graph Storage (Extended Version).
CoRR
Haoxuan Xie, Junfeng Liu, Siqiang Luo, Kai Wang
2025 J jnl
Deep learning meets bibliometrics: A survey of citation function classification.
J. Informetrics
Yang Zhang, Yufei Wang, Quan Z. Sheng, Lina Yao, Haihua Chen, Kai Wang, Adnan Mahmood, Wei Emma Zhang, Munazza Zaib, Subhash Sagar, Rongying Zhao
2025 J jnl
EAGLE: Episodic Appearance- and Geometry-aware Memory for Unified 2D-3D Visual Query Localization in Egocentric Vision.
CoRR
Yifei Cao, Yu Liu, Guolong Wang, Zhu Liu, Kai Wang, Xianjie Zhang, Jizhe Yu, Xun Tu
2025 J jnl
Graph Percolation Embeddings for Efficient Knowledge Graph Inductive Reasoning.
IEEE Trans. Knowl. Data Eng.
Kai Wang, Dan Lin, Siqiang Luo
2025 J jnl
Graph-based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Survey.
CoRR
Zulun Zhu, Tiancheng Huang, Kai Wang, Junda Ye, Xinghe Chen, Siqiang Luo
2025 — conf
Permitted Knowledge Boundary: Evaluating the Knowledge-Constrained Responsiveness of Large Language Models.
EMNLP (Findings)
Wenrui Bao, Kai Wang, Siqiang Luo, Xiang Li
2024 — conf
LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs.
ACL (Findings)
Kai Wang, Yuwei Xu, Zhiyong Wu, Siqiang Luo
2024 J jnl
LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs.
CoRR
Kai Wang, Yuwei Xu, Zhiyong Wu, Siqiang Luo
2024 B conf
Learn to Walk with Continuous-action for Knowledge-enhanced Recommendation System.
IJCNN
Jiahao Sun, Yu Liu, Xianjie Zhang, Xiujuan Xu, Li Hong, Kai Wang
2024 J jnl
TIGER: Training Inductive Graph Neural Network for Large-scale Knowledge Graph Reasoning.
Proc. VLDB Endow.
Kai Wang, Yuwei Xu, Siqiang Luo
2024 A* conf
Topology-monitorable Contrastive Learning on Dynamic Graphs.
KDD
Zulun Zhu, Kai Wang, Haoyu Liu, Jintang Li, Siqiang Luo
2024 J jnl
Towards Graph Foundation Models: The Perspective of Zero-shot Reasoning on Knowledge Graphs.
CoRR
Kai Wang, Siqiang Luo
2023 J jnl
River of No Return: Graph Percolation Embeddings for Efficient Knowledge Graph Reasoning.
CoRR
Kai Wang, Siqiang Luo, Dan Lin
2023 J jnl
Trust-SIoT: Toward Trustworthy Object Classification in the Social Internet of Things.
IEEE Trans. Netw. Serv. Manag.
Subhash Sagar, Adnan Mahmood, Kai Wang, Quan Z. Sheng, Jitander Kumar Pabani, Wei Emma Zhang
2023 J jnl
When Large Language Models Meet Citation: A Survey.
CoRR
Yang Zhang, Yufei Wang, Kai Wang, Quan Z. Sheng, Lina Yao, Adnan Mahmood, Wei Emma Zhang, Rongying Zhao
2022 — conf
Lightweight YOLOV4 algorithm for underwater whale detection.
CAMAD
Lili He, Defeng Du, Hongtao Bai, Kai Wang
2022 B conf
Multi-label Aerial Image Classification Based on Image-Specific Concept Graphs.
ICIP
Dan Lin, Zhikui Chen, Liang Zhao, Kai Wang
2022 A* conf
Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings.
WWW
Kai Wang, Yu Liu, Quan Z. Sheng
2022 J jnl
Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings.
CoRR
Kai Wang, Yu Liu, Quan Z. Sheng
2022 J jnl
Trust-SIoT: Towards Trustworthy Object Classification in the Social Internet of Things.
CoRR
Subhash Sagar, Adnan Mahmood, Kai Wang, Quan Z. Sheng, Wei Emma Zhang
2021 J jnl
High-efficiency Euclidean-based Models for Low-dimensional Knowledge Graph Embeddings.
CoRR
Kai Wang, Yu Liu, Quan Z. Sheng
2021 — conf
Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddings.
EMNLP (Findings)
Kai Wang, Yu Liu, Dan Lin, Michael Sheng
2021 A* conf
MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph Embeddings.
WWW
Kai Wang, Yu Liu, Qian Ma, Quan Z. Sheng
2021 A* conf
Neighborhood Intervention Consistency: Measuring Confidence for Knowledge Graph Link Prediction.
IJCAI
Kai Wang, Yu Liu, Quan Z. Sheng
2020 J jnl
Enhancing knowledge graph embedding by composite neighbors for link prediction.
Computing
Kai Wang, Yu Liu, Xiujuan Xu, Quan Z. Sheng
2020 J jnl
Multi-teacher Knowledge Distillation for Knowledge Graph Completion.
CoRR
Kai Wang, Yu Liu, Qian Ma, Quan Z. Sheng
2019 J jnl
An Affinity Propagation-Based Self-Adaptive Clustering Method for Wireless Sensor Networks.
Sensors
Jin Wang, Yu Gao, Kai Wang, Arun Kumar Sangaiah, Se-Jung Lim
2019 B conf
Distantly Supervised Relation Extraction through a Trade-off Mechanism.
IJCNN
Jun Ni, Yu Liu, Kai Wang, Zhehuan Zhao, Quan Z. Sheng
2019 J jnl
Feature-based Compositing Memory Networks for Aspect-based Sentiment Classification in Social Internet of Things.
Future Gener. Comput. Syst.
Ruixin Ma, Kai Wang, Tie Qiu, Arun Kumar Sangaiah, Dan Lin, Hannan Bin Liaqat
2018 J jnl
Knowledge Graph Embedding with Entity Neighbors and Deep Memory Network.
CoRR
Kai Wang, Yu Liu, Xiujuan Xu, Dan Lin
2018 — conf
Offering Artificial Intelligence Development Situation Analysis Service for Users.
ICSOC Workshops
Xiujuan Xu, Tingting Jiang, Shimin Shan, Jun Ni, Kai Wang, Zhenlong Xu, Yu Liu
2017 — conf
A RBF Neural Network Based Data Aggregation Algorithm for Wireless Sensor Networks.
FSDM
Jin Wang, Kai Wang, Yiquan Cao, Geumran Youn, Jeong-Uk Kim