Rethinking graph neural networks for anomaly detection J Tang, J Li, Z Gao, J Li ICML, 2022 | 238 | 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 | 113 | 2023 |
Gadbench: Revisiting and benchmarking supervised graph anomaly detection J Tang, F Hua, Z Gao, P Zhao, J Li NeurIPS, 2023 | 51 | 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 | 29 | 2020 |
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform Z Gao, Q Wang, A Chen, Z Liu, B Wu, L Chen, J Li ICML 2024, 2024 | 27 | 2024 |
Imgcl: Revisiting graph contrastive learning on imbalanced node classification L Zeng, L Li, Z Gao, P Zhao, J Li AAAI, 2023 | 24 | 2023 |
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 AAAI, 2023 | 17 | 2023 |
Protein Multimer Structure Prediction via Prompt Learning Z Gao, X Sun, Z Liu, Y Li, H Cheng, J Li ICLR 2024, 2024 | 16 | 2024 |
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 | 12 | 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 | 11 | 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 | 8 | 2022 |
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 | 4 | 2022 |
Parameter-efficient fine-tuning via circular convolution A Chen, J Cheng, Z Liu, Z Gao, F Tsung, Y Li, J Li arXiv preprint arXiv:2407.19342, 2024 | 2 | 2024 |
Deep Reinforcement Learning for Modelling Protein Complexes Z Gao, T Feng, J You, C Zi, Y Zhou, C Zhang, J Li ICLR 2024, 2024 | 1 | 2024 |
InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization Y Niu, Z Gao, T Xu, Y Liu, Y Bian, Y Rong, J Huang, J Li The Thirteenth International Conference on Learning Representations, 0 | | |
LoRA Unleashed: Effortlessly Advancing from Low to Arbitrary Rank J Cheng, A Chen, Z Gao, Y Li, J Li, F Tsung | | |
Towards Stable Representations for Protein Interface Prediction Z Gao, Z Liu, Y Li, J Li NeurIPS 2024, 0 | | |
Trading-off Multiple Properties for Molecular Optimization Y Niu, Z Gao, T Xu, Y Bian, Y Rong, J Li | | |