| Rethinking graph neural networks for anomaly detection J Tang, J Li, Z Gao, J Li International Conference on Machine Learning, 21076-21089, 2022 | 108 | 2022 |
| Hierarchical graph learning for protein–protein interaction Z Gao, C Jiang, J Zhang, X Jiang, L Li, P Zhao, H Yang, Y Huang, J Li Nature Communications 14 (1), 1093, 2023 | 46 | 2023 |
| Computational ghost imaging in scattering media using simulation-based deep learning Z Gao, X Cheng, K Chen, A Wang, Y Hu, S Zhang, Q Hao IEEE Photonics Journal 12 (5), 1-15, 2020 | 23 | 2020 |
| Gadbench: Revisiting and benchmarking supervised graph anomaly detection J Tang, F Hua, Z Gao, P Zhao, J Li Advances in Neural Information Processing Systems 36, 2024 | 10 | 2024 |
| Handling missing data via max-entropy regularized graph autoencoder Z Gao, Y Niu, J Cheng, J Tang, L Li, T Xu, P Zhao, F Tsung, J Li Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7651-7659, 2023 | 8 | 2023 |
| Imgcl: Revisiting graph contrastive learning on imbalanced node classification L Zeng, L Li, Z Gao, P Zhao, J Li Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 11138 …, 2023 | 8 | 2023 |
| Extendible ghost imaging with high reconstruction quality in strong scattering medium Z Gao, X Cheng, J Yue, Q Hao Optics Express 30 (25), 45759-45775, 2022 | 7 | 2022 |
| Compressive ghost imaging in scattering media guided by region of interest Z Gao, X Cheng, L Zhang, Y Hu, Q Hao Journal of Optics 22 (5), 055704, 2020 | 7 | 2020 |
| Imdrug: A benchmark for deep imbalanced learning in ai-aided drug discovery L Li, L Zeng, Z Gao, S Yuan, Y Bian, B Wu, H Zhang, Y Yu, C Lu, Z Zhou, ... arXiv preprint arXiv:2209.07921, 2022 | 6 | 2022 |
| Protein Multimer Structure Prediction via Prompt Learning Z Gao, X Sun, Z Liu, Y Li, H Cheng, J Li ICLR 2024, 2024 | 2* | 2024 |
| Computational ghost imaging with PSF-guiding deep learning through various unknown turbid scattering media K Chen, H Xiao, X Cheng, G Ziqi, A Wang, Y Hu, Q Hao Journal of Optics 24 (11), 115603, 2022 | 2 | 2022 |
| Generative Adversarial Policy Network for Modelling Protein Complexes T Feng, Z Gao, J You, C Zi, Y Zhou, C Zhang, J Li The Twelfth International Conference on Learning Representations, 2023 | | 2023 |
| Trading-off Multiple Properties for Molecular Optimization Y Niu, Z Gao, T Xu, Y Bian, Y Rong, J Li | | 2023 |
| IOP Conference Series: Earth and Environmental Science Z Gao, X Cheng, L Zhang, D Collste, APD Aguiar, ZV Harmáková | | |
