| Magnn: Metapath aggregated graph neural network for heterogeneous graph embedding X Fu, J Zhang, Z Meng, I King Proceedings of the web conference 2020, 2331-2341, 2020 | 1028 | 2020 |
| Modeling scale-free graphs with hyperbolic geometry for knowledge-aware recommendation Y Chen, M Yang, Y Zhang, M Zhao, Z Meng, J Hao, I King Proceedings of the fifteenth ACM international conference on web search and …, 2022 | 90 | 2022 |
| Featurenorm: L2 feature normalization for dynamic graph embedding M Yang, Z Meng, I King 2020 IEEE International Conference on Data Mining (ICDM), 731-740, 2020 | 35 | 2020 |
| Graph-adaptive rectified linear unit for graph neural networks Y Zhang, H Zhu, Z Meng, P Koniusz, I King Proceedings of the ACM web conference 2022, 1331-1339, 2022 | 34 | 2022 |
| Semi-supervised multi-label learning for graph-structured data Z Song, Z Meng, Y Zhang, I King Proceedings of the 30th ACM International Conference on Information …, 2021 | 33 | 2021 |
| Meta-learning with motif-based task augmentation for few-shot molecular property prediction Z Meng, Y Li, P Zhao, Y Yu, I King Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 13 | 2023 |
| A unified view of deep learning for reaction and retrosynthesis prediction: Current status and future challenges Z Meng, P Zhao, Y Yu, I King arXiv preprint arXiv:2306.15890, 2023 | 12 | 2023 |
| A diffusion-based pre-training framework for crystal property prediction Z Song, Z Meng, I King Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 8993-9001, 2024 | 10 | 2024 |
| Step-on-feet tuning: Scaling self-alignment of llms via bootstrapping H Wang, G Ma, Z Meng, Z Qin, L Shen, Z Zhang, B Wu, L Liu, Y Bian, T Xu, ... arXiv preprint arXiv:2402.07610, 2024 | 8 | 2024 |
| Doubly stochastic graph-based non-autoregressive reaction prediction Z Meng, P Zhao, Y Yu, I King arXiv preprint arXiv:2306.06119, 2023 | 8 | 2023 |
| Recent advances in speech language models: A survey W Cui, D Yu, X Jiao, Z Meng, G Zhang, Q Wang, Y Guo, I King arXiv preprint arXiv:2410.03751, 2024 | 6 | 2024 |
| Geometric view of soft decorrelation in self-supervised learning Y Zhang, H Zhu, Z Song, Y Chen, X Fu, Z Meng, P Koniusz, I King Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 5 | 2024 |
| Parrot: Autoregressive Spoken Dialogue Language Modeling with Decoder-only Transformers Z Meng, Q Wang, W Cui, Y Zhang, B Wu, I King, L Chen, P Zhao Audio Imagination: NeurIPS 2024 Workshop AI-Driven Speech, Music, and Sound …, 0 | 2 | |
| VoxEval: Benchmarking the Knowledge Understanding Capabilities of End-to-End Spoken Language Models W Cui, X Jiao, Z Meng, I King arXiv preprint arXiv:2501.04962, 2025 | | 2025 |
| Training method and application method for reaction product prediction model, apparatus, and device M Ziqiao, P Zhao US Patent App. 18/624,349, 2024 | | 2024 |
| Reactant molecule prediction using molecule completion model M Ziqiao, P Zhao US Patent App. 18/597,636, 2024 | | 2024 |
| Towards geometric normalization techniques in SE (3) equivariant graph neural networks for physical dynamics simulations Z Meng, L Zeng, Z Song, T Xu, P Zhao, I King Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | | 2024 |
| Understanding Graph Neural Networks via Trajectory Analysis Z Meng, J Dong, Z Huang, I King | | |
Irwin KingThe Chinese University of Hong KongVerifisert e-postadresse på cse.cuhk.edu.hk
