| 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 | 44 | 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 | 12 | 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, AustraliaVerified email at mq.edu.au
