| Line graph neural networks for link prediction L Cai, J Li, J Wang, S Ji IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 5103-5113, 2021 | 264 | 2021 |
| Deep adversarial learning for multi-modality missing data completion L Cai, Z Wang, H Gao, D Shen, S Ji Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 179 | 2018 |
| Structural temporal graph neural networks for anomaly detection in dynamic graphs L Cai, Z Chen, C Luo, J Gui, J Ni, D Li, H Chen Proceedings of the 30th ACM international conference on Information …, 2021 | 130 | 2021 |
| Advanced graph and sequence neural networks for molecular property prediction and drug discovery Z Wang, M Liu, Y Luo, Z Xu, Y Xie, L Wang, L Cai, Q Qi, Z Yuan, T Yang, ... Bioinformatics 38 (9), 2579-2586, 2022 | 123 | 2022 |
| A deep transfer learning approach for improved post-traumatic stress disorder diagnosis D Banerjee, K Islam, K Xue, G Mei, L Xiao, G Zhang, R Xu, C Lei, S Ji, J Li Knowledge and Information Systems 60, 1693-1724, 2019 | 122 | 2019 |
| A multi-scale approach for graph link prediction L Cai, S Ji Proceedings of the AAAI conference on artificial intelligence 34 (04), 3308-3315, 2020 | 114 | 2020 |
| ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions H Gao, Z Wang, L Cai, S Ji IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (8), 2570 …, 2020 | 97 | 2020 |
| Multi-stage variational auto-encoders for coarse-to-fine image generation L Cai, H Gao, S Ji Proceedings of the 2019 SIAM International Conference on Data Mining, 630-638, 2019 | 96 | 2019 |
| Deep learning of high-order interactions for protein interface prediction Y Liu, H Yuan, L Cai, S Ji Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 71 | 2020 |
| Interpreting image classifiers by generating discrete masks H Yuan, L Cai, X Hu, J Wang, S Ji IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (4), 2019-2030, 2020 | 34 | 2020 |
| Computational modeling of cellular structures using conditional deep generative networks H Yuan, L Cai, Z Wang, X Hu, S Zhang, S Ji Bioinformatics 35 (12), 2141-2149, 2019 | 31 | 2019 |
| Dense transformer networks for brain electron microscopy image segmentation J Li, Y Chen, L Cai, I Davidson, S Ji Proceedings of the 28th International Joint Conference on Artificial …, 2019 | 29* | 2019 |
| Multi-view spectral clustering via robust local subspace learning L Feng, L Cai, Y Liu, S Liu soft computing 21 (8), 1937-1948, 2017 | 26 | 2017 |
| Voxel deconvolutional networks for 3D brain image labeling Y Chen, H Gao, L Cai, M Shi, D Shen, S Ji Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 16 | 2018 |
| Adaptive convolutional relus H Gao, L Cai, S Ji Proceedings of the AAAI conference on artificial intelligence 34 (04), 3914-3921, 2020 | 15 | 2020 |
| Neuronal activities in the mouse visual cortex predict patterns of sensory stimuli L Cai, B Wu, S Ji Neuroinformatics 16, 473-488, 2018 | 10 | 2018 |
| Development of Xanthene‐Based Fluorescent Dyes: Machine Learning‐Assisted Prediction vs. TD‐DFT Prediction and Experimental Validation Y Wang, L Cai, W Chen, D Wang, S Xu, L Wang, MA Kononov, S Ji, ... Chemistry‐Methods 1 (8), 389-396, 2021 | 8 | 2021 |
| Deep low-shot learning for biological image classification and visualization from limited training samples L Cai, Z Wang, R Kulathinal, S Kumar, S Ji IEEE Transactions on Neural Networks and Learning Systems 34 (5), 2528-2538, 2021 | 7 | 2021 |
| Structural graph neural networks for suspicious event detection LC Zhengzhang Chen, Jiaping Gui, Haifeng Chen US Patent App. 16/992,395, 2021 | 4* | 2021 |
| Deep Generative Models for Images, Texts, and Graphs L Cai Washington State University, 2020 | | 2020 |
Shuiwang Ji, Professor and Truchard...Department of Computer Science & Engineering, Texas A&M UniversityVerified email at tamu.edu
