| Feature-based compositing memory networks for aspect-based sentiment classification in social internet of things R Ma, K Wang, T Qiu, AK Sangaiah, D Lin, HB Liaqat Future Generation Computer Systems 92, 879-888, 2019 | 59 | 2019 |
| Mulde: Multi-teacher knowledge distillation for low-dimensional knowledge graph embeddings K Wang, Y Liu, Q Ma, QZ Sheng WWW'21: Proceedings of the Web Conference 2021, 1716-1726, 2021 | 43 | 2021 |
| Knowledge graph embedding with entity neighbors and deep memory network K Wang, Y Liu, X Xu, D Lin arXiv preprint arXiv:1808.03752, 2018 | 28 | 2018 |
| Trust–SIoT: Toward Trustworthy Object Classification in the Social Internet of Things S Sagar, A Mahmood, K Wang, QZ Sheng, JK Pabani, WE Zhang IEEE Transactions on Network and Service Management 20 (2), 1210-1223, 2023 | 17 | 2023 |
| Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddings K Wang, Y Liu, D Lin, QZ Sheng Findings of the Association for Computational Linguistics: EMNLP 2021., 464-474, 2021 | 17 | 2021 |
| Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings K Wang, Y Liu, QZ Sheng WWW '22: Proceedings of the ACM Web Conference 2022, 838–849, 2022 | 14 | 2022 |
| Enhancing knowledge graph embedding by composite neighbors for link prediction K Wang, Y Liu, X Xu, QZ Sheng Computing 102, 2587-2606, 2020 | 11 | 2020 |
| Neighborhood intervention consistency: Measuring confidence for knowledge graph link prediction K Wang, Y Liu, QZ Sheng IJCAI 2021: Proceedings of the Thirtieth International Joint Conference on …, 2021 | 7 | 2021 |
| When Large Language Models Meet Citation: A Survey Y Zhang, Y Wang, K Wang, QZ Sheng, L Yao, A Mahmood, WE Zhang, ... arXiv preprint arXiv:2309.09727, 2023 | 3 | 2023 |
| Mutual Information as Intrinsic Reward of Reinforcement Learning Agents for On-demand Ride Pooling X Zhang, J Sun, C Gong, K Wang, Y Cao, H Chen, Y Liu arXiv preprint arXiv:2312.15195, 2023 | 1 | 2023 |
| Distantly supervised relation extraction through a trade-off mechanism J Ni, Y Liu, K Wang, Z Zhao, QZ Sheng 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 1 | 2019 |
| LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs K Wang, Y Xu, Z Wu, S Luo arXiv preprint arXiv:2402.11804, 2024 | | 2024 |
| Topology-monitorable Contrastive Learning on Dynamic Graphs Z Zhu, K Wang, H Liu, J Li, S Luo | | 2024 |
| River of No Return: Graph Percolation Embeddings for Efficient Knowledge Graph Reasoning K Wang, S Luo, D Lin arXiv preprint arXiv:2305.09974, 2023 | | 2023 |
| Multi-label Aerial Image Classification Based on Image-Specific Concept Graphs D Lin, Z Chen, L Zhao, K Wang 2022 IEEE International Conference on Image Processing (ICIP), 121-125, 2022 | | 2022 |
Quan Z. (Michael) ShengDistinguished Professor, School of Computing, Macquarie University, Sydney, Australia在 mq.edu.au 的电子邮件经过验证
Quan Z. (Michael) ShengDistinguished Professor, School of Computing, Macquarie University, Sydney, Australia在 mq.edu.au 的电子邮件经过验证
Tie QiuTianjin University在 ieee.org 的电子邮件经过验证