| 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 |
| Gaan: Gated attention networks for learning on large and spatiotemporal graphs J Zhang, X Shi, J Xie, H Ma, I King, DY Yeung arXiv preprint arXiv:1803.07294, 2018 | 842 | 2018 |
| Dynamic key-value memory networks for knowledge tracing J Zhang, X Shi, I King, DY Yeung Proceedings of the 26th international conference on World Wide Web, 765-774, 2017 | 835 | 2017 |
| Star-gcn: Stacked and reconstructed graph convolutional networks for recommender systems J Zhang, X Shi, S Zhao, I King arXiv preprint arXiv:1905.13129, 2019 | 297 | 2019 |
| Aspect-level sentiment classification with heat (hierarchical attention) network J Cheng, S Zhao, J Zhang, I King, X Zhang, H Wang Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 161 | 2017 |
| Title-Guided Encoding for Keyphrase Generation W Chen, Y Gao, J Zhang, I King, MR Lyu arXiv preprint arXiv:1808.08575, 2018 | 131* | 2018 |
| Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space H Zhang, J Zhang, B Srinivasan, Z Shen, X Qin, C Faloutsos, H Rangwala, ... The Twelfth International Conference on Learning Representations, 2024 | 71 | 2024 |
| Large language models (LLMs) on tabular data: Prediction, generation, and understanding-a survey X Fang, W Xu, FA Tan, J Zhang, Z Hu, YJ Qi, S Nickleach, D Socolinsky, ... Transactions on Machine Learning Research (TMLR), 2024 | 65 | 2024 |
| PaGE-Link: Path-based graph neural network explanation for heterogeneous link prediction S Zhang, J Zhang, X Song, S Adeshina, D Zheng, C Faloutsos, Y Sun Proceedings of the ACM Web Conference 2023, 3784-3793, 2023 | 33 | 2023 |
| OpenTab: Advancing Large Language Models as Open-domain Table Reasoners K Kong, J Zhang, Z Shen, B Srinivasan, C Lei, C Faloutsos, H Rangwala, ... The Twelfth International Conference on Learning Representations, 2024 | 20 | 2024 |
| Topological order discovery via deep knowledge tracing J Zhang, I King Neural Information Processing: 23rd International Conference, ICONIP 2016 …, 2016 | 13 | 2016 |
| Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient Selection C Mavromatis, B Srinivasan, Z Shen, J Zhang, H Rangwala, C Faloutsos, ... Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2023 | 12 | 2023 |
| NameGuess: Column Name Expansion for Tabular Data J Zhang, Z Shen, B Srinivasan, S Wang, H Rangwala, G Karypis Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 6 | 2023 |
| OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization H Zhang, S Wang, VN Ioannidis, S Adeshina, J Zhang, X Qin, C Faloutsos, ... Proceedings of the 33rd ACM International Conference on Information and …, 2023 | 5 | 2023 |
| OmniMatch: Effective Self-Supervised Any-Join Discovery in Tabular Data Repositories C Koutras, J Zhang, X Qin, C Lei, V Ioannidis, C Faloutsos, G Karypis, ... arXiv preprint arXiv:2403.07653, 2024 | 4 | 2024 |
| FeatNavigator: Automatic Feature Augmentation on Tabular Data J Liang, C Lei, X Qin, J Zhang, A Katsifodimos, C Faloutsos, H Rangwala arXiv preprint arXiv:2406.09534, 2024 | 1 | 2024 |
| Hierarchical Compression of Text-Rich Graphs via Large Language Models S Zhang, D Zheng, J Zhang, Q Zhu, S Adeshina, C Faloutsos, G Karypis, ... arXiv preprint arXiv:2406.11884, 2024 | 1 | 2024 |
| CoddLLM: Empowering Large Language Models for Data Analytics J Zhang, H Zhang, R Chakravarti, Y Hu, P Ng, A Katsifodimos, ... arXiv preprint arXiv:2502.00329, 2025 | | 2025 |
| KGExplainer: Towards Exploring Connected Subgraph Explanations for Knowledge Graph Completion T Ma, W Tao, M Li, J Zhang, X Pan, J Lin, B Song The Thirteenth International Conference on Learning Representations, 2024 | | 2024 |
Irwin KingThe Chinese University of Hong KongПотвърден имейл адрес: cse.cuhk.edu.hk